School of Computing, Informatics, and Decision Systems Engineering

ANNUAL REPORT 2009 - 2010

Faculty of Computer Science & Engineering Faculty of Industrial Engineering1 Contents 3 Director’s Welcome

4 A New School

6 Research

28 Faculty Excellence

32 Community Outreach

30 Student Excellence

36 Academic Programs

40 Directory GLOBAL IMPACT THROUGH 52 Publications COMPUTING AND ENGINEERING Michael Deirdre Paul Johnson Crow Meldrum Executive Dean President Dean Ira A. Fulton Arizona State Ira A. Fulton Schools of University Schools of Engineering Engineering

Gerald John Yann-Hang Farin Fowler Lee Graduate Program Chair Program Chair Programs Industrial Computer Chair Engineering Science and SCIDSE Engineering Director’s Welcome Director’s

Dear Friends and Colleagues, You’ll see numerous faculty and student awards and achievements throughout this report. One student group won the Microsoft Imagine Cup earlier this year, our Hello from Tempe and welcome to our 2009 – 2010 Annual Report. This has been junior faculty are winning CAREER Awards, our senior faculty are being noted as an exciting year as we kicked off the new School of Computing, Informatics, and most highly-cited authors, and our people are being honored with best paper awards Decision Systems Engineering. By combining our existing healthy programs in at all levels. For the purposes of the report we have tried to classify activities into Computer Science, Computer Systems Engineering, and Industrial Engineering, four central themes: Computational Intelligence and Algorithms, Data Management we have constructed a school that spans the spectrum from data to decisions. and Information Assurance, Network Science and Systems, and Software and Systems Engineering. However, many of the activities transcend multiple areas We begin with a goal of envisioning, creating, and implementing transformational and frequently involve faculty from other Schools as well. This is by intent. We technologies for improving our everyday life through secure, timely, assured and pride ourselves in being the home for computing and decision technologies, but ubiquitous access to reliable and relevant information. For the business analyst, our mission is to reach out and employ these technologies for advancing the social that may mean understanding the current state of one’s competitors and supply condition. Seeing these opportunities also helps keep us focused on meaningful chain. For the blind individual, that means artificial sensory perception to enable avenues for our theoretical research. self-reliance. Our faculties of Computer Science and Engineering and Industrial Engineering are coalescing into an integrated academic unit that is reshaping the Please enjoy the remainder of the report, and let me hear your thoughts. We are information driven society through internal cooperation and transdisciplinary always looking to expand our partnerships, so if you see a project of interest, or the external collaborations. ideas herein suggest a new possibility to you, please contact us to discuss ways to collaborate. And, as always, we welcome you to visit us in the Valley of the Sun. The school is making significant strides – growing in breadth while simultaneously For more details, you can also check out our web site at http://engineering.asu.edu/cidse strengthening our core disciplines and individual program size. We now have over 1,500 on-campus students and many more participating in our on-line programs. Particularly gratifying is the continued advancement in the quality and quantity of our research. Our funded research and number of graduate research assistants Director, School of Computing, Informatics, continues to grow. and Decision Systems Engineering Professor of Industrial Engineering

3 A NEW SCHOOL... Our Mission

The School of Computing, Informatics, and Decision Systems Engineering (SCIDSE) at ASU is a community of faculty, staff, and students encompassing the disciplines of computer science, computer systems engineering, industrial engineering, informatics and systems engineering.

Our mission is to pursue academic excellence and societal impact through outstanding teaching, use- inspired, cutting edge research, and leadership in service to the profession and community. We seek to provide a flexible and proactive environment that promotes innovative thinking, diversity, transdisciplinary teaming, scholarship, and ethical behavior in order to advance and realize the potential of computing and information technology to enhance society.

4 Our Vision

We envision a society where secure, accurate, and current information is ubiquitously available and data is seamlessly collected, managed, and converted into information that entertains individuals, empowers businesses and guides the decisions of both in their daily affairs. Our vision includes helping the blind to see and companies to plan. We envision the ASU School of Computing, Informatics, and Decision Systems Engineering as a community recognized by its colleagues internationally as a leader in enabling this society and by students as a preferred location for acquiring the knowledge and skills necessary to contribute to this vision. We envision a community of scholars cooperatively engaged in transdisciplinary research addressing the grand challenges of modern society and supporting the intellectual growth of students and colleagues.

5 COMPUTATIONAL INTELLIGENCE AND ALGORITHMS

COMPUTATIONAL INTELLIGENCE AND ALGORITHMS

DATA MANAGEMENT AND INFORMATION ASSURANCE

NETWORK SCIENCE AND SYSTEMS

SOFTWARE AND SYSTEMS ENGINEERING

RESEARCH

6 COMPUTATIONAL INTELLIGENCE AND ALGORITHMS

Computational intelligence encompasses a collection of fundamental research Data Mining and Machine Learning. As scientific and enterprise data sets areas dealing with the creation of knowledge from data, the development of grow with respect to data characteristics (scale, accuracy, timeliness, media), algorithms for controlling computing decisions, and the effective approaches dimensions, and instances it becomes imperative to develop new approaches for interfacing computers and humans. The area focuses on enhancing to extract spatial and temporal relationships, correlation patterns and human decision making and learning and the automation of computing knowledge. The faculty are actively engaged in developing new methods for processes. identifying patterns and extracting information. (Huan Liu, George Runger, Teresa Wu, Jieping Ye, Nong Ye) Specialty Areas and Faculty Contacts: Imaging, Graphics and Visualization. Rendering clearer images of urban Artificial Intelligence. SCIDSE researchers are addressing problems in scenes for games and homeland security, geometric modeling of images for automated planning and scheduling, constraint satisfaction, knowledge new approaches to detect biosignature disease indicators using volumetric representation and reasoning, natural language processing, multi agent systems, and other measures, recovery and digitization of information content in and the semantic web. (Chitta Baral, Pat Langley, Joohyung Lee, Subbarao physical media and dynamic movements are all being addressed by SCIDE Kambhampati, Kurt VanLehn, Jieping Ye) researchers. (Gerald Farin, Baoxin Li, Gregory Nielson, Peter Wonka, Yalin Wang) Theory and Algorithms. Understanding complexity and the theory of computation are critical for developing efficient algorithms. Research in this Statistical Modeling. From universe to earth to nano scale, random group focuses on both fundamental theory for analyzing algorithms and on phenomena influence behavior. Models and methods are being developed developing specific deterministic and randomized algorithms for solving to better understand and predict random behavior to allow for more efficient classic problem formulations relevant to the emerging problems in society and acquisition of knowledge (Design of Experiments), improved estimation of technology. (Rida Bazzi, Charles Colbourn, Goran Konjevod, Andrea Richa, system reliability, better characterization of system capability and making Muhong Zhang) more accurate and meaningful inferences from data. (Jing Li, Doug Montgomery, Rong Pan, George Runger)

7 Research Brief - COMPUTATIONAL INTELLIGENCE AND ALGORITHMS

"Finding Allies for the War of Words," which is funded through 2013, is part of the Minerva Initiative, a social science research program funded by the U.S. Department of Defense.

Woodward, whose expertise is in Islam in Southeast Asia, leads a multi-disciplinary, multi-university team that includes, from ASU, Hasan Davulcu and Arun Sen (School of Computing, Informatics, and Decision Systems Engineering), Steven Corman (Hugh Downs School of Human Communication), and Thomas Taylor (School of Mathematical and Statistical Sciences); David Jacobson of the University of South Florida; Riva Kastoryano, Centre d'Etudes et de Recherches Internationales, Sciences Po (France); and Muhammad Sani Umar, Northwestern University.

“Despite the enormous literature concerning extremist Muslim movements,” stated Linell Cady, Director of CSRC, “there has been little discussion of the role of religious and cultural practices in countering them. This project aims to address that gap by examining the ways in which Muslim communities themselves fight back against extremist groups, at local, regional and global levels.”

At a colloquium on this topic sponsored by the Center, Muhammad Sani Umar, who heads the West Africa team, detailed the difficulties of such a project. “Radical and non-radical discourses,” said Umar, “interact with each other within the same political and social environments, and overlap intellectually by invoking the same Islamic authorities to support their divergent viewpoints and agendas. This makes it especially difficult for diplomats and policy makers who are looking for dichotomous identifications that are too simplistic and too unreliable.” "Finding Allies for the War of Words: Mapping the Diffusion and An innovative feature of the project is the way in which field researchers are working with Influence of Counter-Radical Muslim Discourse” (Sponsor: DOD) a computer science research group. Headed by Hasan Davulcu, an associate professor of When a Muslim-American citizen tries to set off a car bomb in New York's Times Square, computer science and engineering, the team is developing a new approach to ethnographic many fear that the process of radicalization of all Muslims is well underway in Islamic research that takes account of the extensive global conversation taking place on the internet. communities at home and abroad. Many Muslims around the world are also worried about this prospect and are working to defeat violent extremists within their communities. But Davulcu talked about how his team of faculty and graduate students utilize computer they don’t always get attention—from the media, from policy makers, or from academic technologies to process the volumes of material on the web. "The field ethnographers researchers. guide us to key terms and phrases that are commonly found in radical and counter-radical discourses. We look at what's online - speeches, rhetoric, attitudes – and train our automated A new research project led by ASU’s Center for the Study of Religion and Conflict, "Finding system to recognize these patterns automatically.” Allies for the War of Words: Mapping the Diffusion and Influence of Counter-Radical Muslim Discourse," is seeking to change that. The project, which involves an international “We then apply these patterns to large publicly available document collections such as news team of researchers, will examine what Muslims in the key regions of West African, Western sites and public discussion forums. This helps us to see shifts in opinions and influence Europe, and Southeast Asia are doing to counter and thwart the advance of radicalization. within radical and counter-radical discourse," Davulcu said.

"Many in the part of the world I study (Indonesia) are becoming increasingly concerned ASU was one of seven U.S. universities selected from a pool of 211 applicants to receive by what they see as an attempt by Middle Eastern groups to use wealth and prestige to a Minerva award. Other awardees include MIT, Princeton, University of Texas at Austin, establish an exclusionist, puritanical understanding of Islam as the voice of Islam. While this UC-San Diego, the Monterey Institute of International Studies, and San Francisco State understanding of Islam is not inherently violent, it does, in some cases, provide theological University. “The Center for the Study of Religion and Conflict has brought together an cover for violent extremists," according to Mark Woodward, the principal investigator for impressive global team to address this problem,” said Cady. “By paying closer attention the project and associate professor in the College of Liberal Arts and Science’s School of to the trends in religious and cultural values that help build and sustain peace, we can help Historical, Philosophical and Religious Studies. deepen understanding between societies and contribute to wiser, more effective solutions.”

8 Research Brief -- COMPUTATIONAL INTELLIGENCE AND ALGORITHMS Research Brief - COMPUTATIONAL INTELLIGENCE AND ALGORITHMS Children’s Health Project: Linking Asthma to PM10 in Central Phoenix

Arizona Department of Environmental Quality (ADEQ), the Arizona percentile -36 μg/m³ in this study - is associated with a 13% increase in the probability of Department of Health Services (ADHS), Arizona State University asthma incidents, an effect much stronger than in previous studies. researchers from the School of Computing, Informatics, and Decision • The effects of age and gender were insignificant. Systems Engineering (SCIDSE), Center for Health Research, and the Center Additional Findings: for Environmental Fluid Dynamics • CMAQ generally underestimated the higher PM10 concentrations and overestimated the lower, with the better correlations for the higher concentrations. • The better correlations in the higher concentration regimes, despite their under predictions, Asthma is the most common chronic disease among children in developed countries with still bode well for the viability of the predictive tool to warn asthma populations in central increasing rates reported in many countries, including the United States. Phoenix. • The under predictions were most pronounced at the two maximum concentration A joint project between the Arizona Department of Environmental Quality (ADEQ), the sites of Durango Complex and West 43rd Avenue, which represent the worst PM10 air Arizona Department of Health Services (ADHS), and Arizona State University researchers quality in metropolitan Phoenix. from the School of Computing, Informatics, and Decision Systems Engineering (led by • Any predictive system that comes close to predicting these peak concentrations George Runger), the Center for Health Research, and the Center for Environmental Fluid provides adequate protection for asthmatic children in the rest of greater Phoenix. Dynamics collaborated to study the relationship between air quality and childhood asthma in central Phoenix.

Arizona has a higher rate than the U.S. overall, and rates in Maricopa County were particularly high. Ambient air contains a wide-range of pollutants including airborne particles of different sizes.

Interpolated concentrations of PM10 (particulate matter under 10 micrometers in size) from a five-site network provided a spatial distribution that was mapped onto census tracts.This data was linked with a large volume of health transactions records from ADHS and the Arizona Heath Query (AZHQ) database from the Center for Health Research.

Extensive data pre-processing and preparation was required, and a spatial and temporal map between air quality and locations was developed. The models were challenged by strong seasonal effects for both air quality and asthma and needed to account for confounding variables such as day of the week, patient-level covariates (e.g., age, gender, lifestyle, etc.), and the presence of other air pollutants.

The researchers detected a significant association between PM10 in central Phoenix and childhood asthma incidents. The project demonstrated the capability for ASU and various state organizations to collaborate on an interdisciplinary project. In addition, they demonstrated methods useful to interrogate large heath bases, and methods to spatially and temporally link environmental models to those for health outcomes and account for many potentially confounding effects.

Major findings on Asthma and PM10: • PM10 concentrations have a statistically significant association with asthma incidents in central Phoenix at the 95% confidence level. • For children ages 5-17 an increase in the daily mean PM10 from the 25th to the 75th

Research Brief -- COMPUTATIONAL INTELLIGENCE AND ALGORITHMS 9 DATA MANAGEMENT AND INFORMATION ASSURANCE “Preserving the Past with the Modern Archive” While networks connect entities, it is the data transmitted across those Information Assurance and Security: As a certified National Center for networks that empowers objects and enriches life. With terabytes of data Academic Excellence, the Information Assurance Center forms a focal point being produced daily by single applications, storage, processing, and for research and education in information assurance and security. Ensuring retrieval become key challenges. Knowing what, where, how, and how long privacy and protection from attack for personal computers and corporate to store and index data for later use are major challenges. The assured servers are challenges being addressed as well as developing schemes for and secure functioning of this data management aspect in cyber space is addressing new distributed technologies such as cloud computing. (Gail- critical to developing a trustworthy system that can support the needs of Joon Ahn, Partha Dasgupta, Dijiang Huang, Guoliang Xue, Stephen Yau, our modern information society. Nong Ye)

Specialty Areas and Faculty Contacts: Multimedia: Data comes in many forms with intended use for many purposes in many environments. Virtualization must accommodate text, Database Management and Information Retrieval: With close links video, audio, tactile and eventually taste, smell and emotional response to AI, query processing and extracting desired information from large, for high fidelity representation of the real world experience. Models for heterogeneous data bases represents a major challenge being addressed by integrating multimedia and the creation of new technologies for multimedia SCIDSE researchers. Understanding data storage and designing storage educational experiences are under development. Additionally, SCIDSE protocols to enable efficient integrated workflow with data services and researchers are making advances in heterogeneous data fusion and semantic web motivate research activities. (Chitta Baral, Yi Chen, K. Selcuk developing new tools to aid physically-impaired individuals. (Winslow Candan, Hasan Davulcu, Subbarao Kambhampati) Burleson, K. Selcuk Candan, Baoxin Li, Jeremy Rowe, Sethuraman Panchanathan, Hari Sundaram)

10 Research Brief -- DATA MANAGEMENT AND INFORMATION ASSURANCE DATA MANAGEMENT AND INFORMATION ASSURANCE “Preserving the Past with the Modern Archive” Archaeology is uniquely able to address research questions concerning social and tDAR is designed to enable scientists to observe and explore alternative models, data ecological processes that operate at centennial or millennial scales. By providing and metadata to inform the system regarding preferred strategies for integration. scholars in diverse fields with meaningful access to long-term data on society, In 2009, the Mellon Foundation rewarded Candan and Kintigh's research and human biology, population, and environment, it has the potential to help scientists prototyping efforts with a two-year, $1.3 million grant (with additional funding explain the dynamics that have constituted today's social world and shaped the contingent on the team's progress). That grant embeds tDAR in a new ASU Center modern environment. for Digital Antiquity (http://digitalantiquity.org), a multi-institutional organization dedicated to establishing tDAR as the repository for archaeological data of the While archaeologists are awash in data -on the order of 50,000 field investigations Americas and ensuring its long-term financial, technical, and social sustainability. are undertaken annually in the US alone- the information needed to address these pressing questions is almost never collected by a single research team. The inability Because archaeology offers the only centennial- and millennial-scale data on to integrate systematically collected data across different projects has crippled the complex interactions that characterize socio-ecological systems, tDAR scientists' efforts to perform the crucial synthetic research needed to illuminate will enhance - to an unprecedented degree - the scientific understandings of the these important phenomena. With $1.35 million in grants from the National complex relationships between social and environmental change. Therefore, beside Science Foundation, a multi-disciplinary team (led by Profs. K. Selcuk Candan of the potential for a transformative impact on archaeology, the team's research on SCIDSE and Keith Kintigh of the School of Human Evolution & Social Change fundamental information integration challenges contributes substantially to a shared (SHESC), with scientific contributions from Profs.Chitta Baral, Hasan Davulcu, infrastructure of science. Subbarao Khambampati and Maria Luisa Sapino of SCIDSE, and K. Spielmann and M. Nelson of SHESC have developed an international cyber infrastructure for archaeological data and documents, called tDAR (the Digital Archaeological Record, http://tdar.org). tDAR offers cutting-edge data integration capabilities based on an innovative "user-driven integration" paradigm that enables integration of data and knowledge bases created by different researchers who use inconsistent recording protocols and conflicting schemas. Data and knowledge integration are costly in the time and expertise required from domain experts and are computationally challenging due to the complexities that arise when sources are not trivially compatible. Most existing solutions rely on a one-size-fits-all approach in which data are integrated up-front to a uniform standard. This solution, however, is not acceptable in scientific research, including archaeology, in which the variables of interest are many inferential steps removed from the observable variables and arguments must be comprised of a sequence of analytical steps that are individually assessed.

Candan and his colleagues observed that scientists bring a great deal of contextual knowledge to their integrative analyses and have strong beliefs about the kinds of integration operations that would be scientifically acceptable.They are, thus, indispensable to the integration process: their needs, assumptions, and knowledge must be leveraged to their fullest extents during the integration process. Candan states that "overly-eager, early conflict resolution (where some alternative interpretations are deemed inapplicable without sufficient evidence) can be detrimental to the effective use of the available knowledge." Therefore, he further argues that "the data and knowledge integration systems should not forget the user (Clockwise from left: Professors Subbarao Kamphampati, K. Selcuk Candan, Hasan Davulcu, student and, thus, should avoid a 'one-size-fits-all' approach to integration." Consequently, S. Toufeeq Ahmed, and Professor Margaret Nelson at an archaeological site in AZ)

Research Brief -- DATA MANAGEMENT AND INFORMATION ASSURANCE 11 NETWORK SCIENCE AND SYSTEMS

Networks permeate modern life. From the open and virtual private networks that Cyber-Physical and Embedded Systems. Most modern devices from automobiles support electronic data interchange within and between commercial enterprises to the to smart phones are defined by their integrated hardware/software systems for wireless, mobile networks that enrich our personal lives by keeping us in contact with sensing, computing, controlling, and communicating. Designing the network of our friends and family, to the sensor networks that protect the homeland and enable interacting cyber-physical entities for efficiency, reliability, autonomy, sustainability scientific exploration, network technologies support our existence and constitute and functionality is an on-going challenge being addressed by the group as well as the backbone of cyber infrastructure. Protocols for ensuring safe, pervasive, and embedded systems issues such as partitioning functions between hardware and software ubiquitous access to information must constantly adapt to the changing environment, for maximizing performance with minimal power and cost. Architectural design and both in terms of scale and technology. Modeling interactions and ensuring resiliency parallelism issues are paramount in preparing for the paradigm of multi-thread and for today’s usage and preparing for tomorrow present significant research challenges multicore processors. The Center for Embedded Systems forms the core of this research being addressed at ASU. and provides numerous opportunities for industrial collaboration as well as addressing fundamental challenges. (Karam Chatha, Georgios Fainekos, Sandeep Gupta, Specialty Areas and Faculty Contacts: Yann-Hang Lee, Don Miller, Pitu Mirchandani, Aviral Shrivastava, Sarma Vrudhula)

Cloud and Distributed Computing. Maximizing the effective use of dispersed idle Network Algorithms. Research spans problems in wireless, wireline, optical and computing cycles while ensuring information reliability and security poses a major transportation networks encompassing a broad range of problems from the design of challenge being addressed by researchers. At the same time, growing calls for resilient network architectures to operational routing to ensure connectedness in mobile sustainable energy use dictate the need for careful design and management of large ad hoc networks. Location services, access control and scheduling, self-stabilizing data centers and new strategies to support service oriented architectures. Along with protocols, coverage and connectivity, multi path and QoS routing and congestion these computing trends, the growing use of multimedia data presents the need for new modeling are among areas of active interest by the research group. (Sandeep Gupta, data structures, application programming interfaces, and encoding rules. (K. Selcuk Pitu Mirchandani, Andrea Richa, Arunabha Sen, Violet Syrotiuk, Guoliang Xue) Candan, Partha Dasgupta, Sandeep Gupta, Dijiang Huang, Wei-Tek Tsai, Stephen Yau) Social Computing. Social computing research seeks to understand social behavior and context based on communication systems. Based on the integration of social, physical, psychological and governmental mechanisms, this research relies on multidisciplinary (Internet Topology Map) collaboration to develop novel theories, behavior models and pattern mining tools to predict and connect the actions and interactions of individuals, groups, communities, and nation-states. The results have important application for commercial sponsors, social scientists, and security agencies alike. (Gail-Joon Ahn, Hasan Davulcu, Huan Liu, Guoliang Xue)

12 Research Brief -- NETWORK SCIENCE AND SYSTEMS NETWORK SCIENCE AND SYSTEMS "Making Cloud Computing Green by Exploring their Cyber-physical Nature” Cloud computing relies on large data centers (a. k. a. server farms). The energy inefficiency is caused by thermal phenomena such as heat recirculation According to a recent survey, data centers account for about 3% of the US energy and hot spots. These phenomena make the air-conditioning units work harder, in budget. About half of that energy is used for cooling, making them of poor energy less efficient modes. By understanding and modeling the heat recirculation and efficiency. Research at the IMPACT Lab (http://impact.asu.edu) at the School how it is determined by the operation of the computers in the room, it is possible to of Computing, Informatics and Decision Systems Engineering focuses on safe, adjust the computation to reduce the energy-wasting effects of heat recirculation. sustainable, and secure high-performance, distributed, mobile and pervasive Over the years, Dr. Gupta's research on Green Computing has been funded by the computing. One of its major efforts is in making data centers greener but with a National Science Foundation (NSF), Intel Corp. Science Foundation of Arizona, and twist: it makes use of their cyber-physical nature, that is, the fact that their physical Raytheon. performance (i.e. energy consumption) is tightly related to their cyber performance (i.e. computing). The IMPACT Lab is working on an NSF funded computing research infrastructure project called BlueTool (http://impact.asu.edu/BlueTool). The project's main If we allow computers to be aware of their thermal impact on their immediate objective is to design, construct and operate a small-sized data center to be used environment, and equip them with the ability to adjust their computing accordingly, as a testbed for thermal-aware management algorithms. "Testing our models and they can potentially schedule their computing to minimize this impact and, algorithms in an actual data center is prohibitively expensive. BlueTool is the tool hence, help to reduce total energy consumption. "The trick is how to acquire and for showing the effectiveness of thermal-aware management, a data center available organize the knowledge of the thermal impact and make it usable by computers," to the research community to test their algorithms for free," said Professor Gupta. said Professor Sandeep Gupta, who is the director for the IMPACT lab. "In other "Once BlueTool is in operation we will be able to measure the energy savings which words, the trick is in the modeling of their cyber-physical nature and developing could be up to 50%, according to our simulations. Through our efforts, we hope to the management algorithms so that computers can use those models to adjust their make cloud computing greener and more sustainable." Additionally, the IMPACT operation and be greener." lab is involved with the FDA in making medical devices safer and more secure for pervasive health care.

Research Brief -- NETWORK SCIENCE AND SYSTEMS 13 SOFTWARE AND SYSTEMS ENGINEERING Software instantiates our intentions and controls modern devices. Its Personalized Learning and Educational Games. With a basic goal of pervasiveness in society, new computing paradigms and the growing complexity of understanding how we learn and a secondary goal of improving the attractiveness many systems dictate the need for on-going development of flexible, reliable, and and effectiveness of STEM education, SCIDSE faculty are developing intelligent usable tools and development practices. Those new software tools and practices virtual tutors and games that customize learning to the individual, taking HCI to a are then applied to applications that integrate computational theory, data, and networks. Within SCIDSE major efforts are having an impact in the areas new level. (Mary Anderson-Rowland, Robert Atkinson, Winslow Burleson, Brian of health informatics, personalized learning, logistics, enterprise information Nelson, Kurt VanLehn) processes and modeling and simulation. Production Logistics. Operations engineering of enterprises with an emphasis on Specialty areas and faculty contacts: the movement of people, information, and goods constitutes a major application area for operational analysis and systems modeling. Faculty research develops Enterprise Systems. Collaborative design and decision making in an environment algorithms to efficiently produce products to meet demand and ensure safe, efficient with dynamically evolving and distributed collaborators and competitors motivates transport of goods. (Ron Askin, John Fowler, Esma Gel, Pitu Mirchandani, Rene the development of new tools and information sharing protocols being developed Villalobos) by the faculty. Methods for evaluating and improving systems engineering tools are also being developed. (Dan Shunk, Teresa Wu) Simulation Modeling and Systems. Throughout science, data-driven models take on a large role. SCIDSE faculty are developing structured languages and modeling Health Informatics. SCIDSE faculty is actively engaged in the development and tools to support the expanding role of simulation in turning scientific advances into application of data mining tools for diagnosing disease incidence from health knowledge and engineered solutions. (John Fowler, Hessam Sarjoughian, Wei-Tek records. Designing patient and workflow processes to improve system efficiency Tsai, Teresa Wu) are also active initiatives for SCIDSE researchers in health care. An additional thrust focuses on utilizing ubiquitous and pervasive computing to increase functionality Software Engineering Ensuring the reliability of software, assuring the provenance and independence of physically-challenged individuals. At a higher level, policy of data and the security of information transmittal are on-going challenges analysis studies for public health policy and emergency management are being addressed by SCIDSE as we develop methods to enable new paradigms such as conducted. (John Fowler, Seungchan Kim, Baoxin Li, Jing Li, Sethuraman cloud computing. Research is ensuring effective functionality for middleware Panchanathan, George Runger, Yalin Wang, Teresa Wu, Jieping Ye, Nong Ye) and application systems. (James Collofello, Hessam Sarjoughian, Wei-Tek Tsai, Stephen Yau)

14 Research Brief -- SOFTWARE AND SYSTEMS ENGINEERING SOFTWARE AND SYSTEMS ENGINEERING "Engineering Healthcare Delivery to Save Lives at Lower Cost ”

SCIDSE Researchers Team with Mayo Clinic to Examine Radiation Exposure During Medical Procedures

The issue of radiation exposure during medical procedures has become an important public health issue as the number of procedures increases. Several cancers are known to be associated with high-dose exposure, including leukemia, breast, lung, esophageal, ovarian and gastric cancers, multiple myeloma and skin damage. The primary concerns are not for one or two scans but the cumulative exposure over a lifetime of multiple scans and a variety of radiation sources . It has been estimated that 50% of the CT scans performed on children and infants were potentially unnecessary. Having a comprehensive radiation dose information system, will ultimately reduce the numbers of these types of examinations.

Researchers from the Mayo Clinic Arizona (led by Dr. William Pavlicek) and SCIDSE (led by Drs. Teresa Wu and Muhong Zhang) are collaborating to integrate imaging data and clinical data through hospital information systems to electronically capture patient radiation dose. The objective is to accurately assess radiation exposure from multiple sources . In addition, a productivity tool termed “Imaging Exam Time Monitor©” (IETM) is being developed to accurately and transparently monitor imaging scanner efficiency for all devices and patients. In addition to providing physicians with radiation dose information specific to their patients to assist in prescribing tests, the IETM replaces current paper based methods and facilitates compliance with State and Accrediting Agency regulations. The efficiency metrics derived permit operations staff to identify and suggest changes for improvements aimed at reducing healthcare costs and improving patient safety.

Quality of Health Care Impact: Lowering radiation will immediately improve the quality of healthcare. A summary of the impact on improving Health Care Quality form this project includes: • Providing quantitative data that identifies opportunities to reduce radiation exposure. • Enabling standards of dose usage including the ability to follow guidelines of an episode of dose and the number of exams that should be ordered for a specific patient. • Establishing monitoring and quality metrics for Quality Assurance purposes (e.g., monitoring by patients, by imaging modality, by physicians, by types of equipment). • Improving our understanding of benefits and risk with the use of ionizing radiation. • Automatically identifying patients who are at increased risk for adverse radiation effects and identifying the best practices with respect to radiation. • Providing an easy, consistent way to comply with state and federal radiation regulations. • Demonstrating a comprehensive response to national concerns over the consequences of radiation misuse. With the successful implementation of this valuable data made readily available to all hospital information centers through a shared network, patients and physicians alike can utilize this important tool when making their decision on the risk vs. benefit factor of their next CT scan.

Research Brief -- SOFTWARE AND SYSTEMS ENGINEERING 15 RESEARCH CENTERS

CENTER for COGNITIVE UBIQUITOUS COMPUTING (CUbiC) CONSORTIUM for EMBEDDED SYSTEMS

The Center for Cognitive Ubiquitous Computing (CUbiC) at The Consortium for Embedded Systems (CES) was established in 2001 Arizona State University is an inter-disciplinary research center as an Industry/University partnership dedicated to developing a globally focused on cutting edge research targeting a variety of applications. recognized center for embedded computing system technologies. In March 2009 CES achieved the designation of National Science Foundation Industry/ Most ubiquitous computing research takes a technology-centric view in University Cooperative Research Center. solving real world problems. It is our belief that a balanced technology and problem-centric view is required in tackling challenging application Objects ranging from an iPod to an automobile use advanced computer domains. By targeting applications that require ubiquitous computing technology commonly concealed by a metallic or decorative cover. solutions, in contrast to applications with a ubiquitous computing flavor Advanced technology of this nature usually operates through an embedded brings out the underlying challenges that need to be addressed. In keeping computer system. The Consortium for Embedded Systems (CES) researches with this spirit, we have chosen to serve the needs of physically challenged the inner workings of embedded computer systems. A simplified explanation individuals by empowering them with ubiquitous and pervasive computing of embedded systems is that they are special purpose computer systems technologies to enrich their lives. Motivated by this approach, we have designed to perform one or a few dedicated functions and are part of a assembled focus groups of blind and hearing-impaired individuals, complete device including hardware and mechanical parts. Although most researchers involved in disability studies and mobility instructors to bring out people do not realize it, they use some form of embedded systems in their the real needs in this application. daily interactions at work and at home.

16 CENTER for ENGINEERING LOGISTICS & DISTRIBUTION (CELDi) CELDi is an applied research and education consortium consisting of nine major research universities, more than 30 member organizations from commercial, military and government sectors of the economy, and The National Science Foundation (NSF). The ASU Center provides an international component to the consortium through its transborder studies. CELDi has the mission of enabling member organizations to achieve logistics and distribution excellence by delivering meaningful, innovative and implementable solutions that provide a return on investment. CELDi partnerships achieve logistics and distribution excellence by solving real problems that achieve bottom-line impact, graduating students with real- world project experience, producing generalized, cutting-edge research, and sharing research results amongst member organizations to leverage intellectual and monetary capital.

INFORMATION ASSURANCE CENTER (IAC) PARTNERSHIP for RESEARCH in SPACIAL MODELING (PRISM)

Information systems through various types of networks have been PRISM is the focal point at Arizona State University for interdisciplinary indispensable for modern societies in the information age. To use and research in modeling and visualization to permit intelligent analysis and process information with great confidence, both the information systems create spatial and dynamic knowledge. and networks as well as the information must be trustworthy. For this objective, users need not only dependable and secure information systems The Partnership for Research in Spatial Modeling (PRISM) has a history of and networks, but effective mechanisms to ensure integrity and quality. collaborative partnerships that center around how to develop, capture, model, analyze and interact with three-dimensional data. Researchers work with The Information Assurance Center (IAC) is a multi-disciplinary center large, complex data sets from scanning devices that include 3D laser focusing on both research and educational activities to address the broad scanners, optical facial scanners and probe microscopes. 3D algorithms and issues of developing trustworthy information systems (TIS) and ensuring software created by PRISM researchers allow users to accurately model and the quality of information being stored, processed and transmitted by automatically segment, extract, measure and analyze features of interest to information systems and networks. Current research activities involve discipline researchers. foundational, network, system and application aspects of developing and testing TIS; steganography; facial recognition, video surveillance, The computer-aided geometric design (CAGD) modeling and analytic tools multimedia data processing, dynamic and deterministic Quality of Service developed at PRISM apply to surfaces and volumes within complex data sets management; data mining for security, privacy in data management; and regardless of scale. situation-awareness. 17 2009-2010 AY RESEARCH

AWARDS (Legend: PI(s), Sponsor, Title, Total Award, Start/End Dates)

Ahn, Gail-Joon, DOD-NSA, Detecting and Responding Network-centric Attack through Visual Analysis, $95,194, 7/1/2008 -7/29/2009

Most Outstanding Research Award - Senior Faculty Ahn, Gail-Joon, DOE, Secure Information Sharing within a Collaboratory Sandeep Gupta Environment, $100,575, 2/1/2009 - 1/31/2010 Sarma Vrudhula Ahn, Gail-Joon, DOJ, Examining the Creation, Distribution and Function of Malware on-Line, $25,000, 1/1/2009 - 11/30/2009 Most Outstanding Research Award - Junior Faculty Jieping Ye Ahn, Gail-Joon, NSF, CT-M-Collaborative Research: Securing Dynamic Online Social Networks, $585,000, 9/1/2008 - 8/31/2012

Ahn, Gail-Joon, NSF, TC: Small: Collaborative Proposal: User-Controlled Persona in Virtual Community, $269,900, 9/15/2009 - 8/31/2012 FACULTY RESEARCH ACTIVITY FY 2010 Ahn, Gail-Joon, Open Invention Network, User-centric Identity Management on Mobile Devices, $469,549, 5/1/2010 - 4/30/2012 PROPOSALS Anderson-Rowland, Mary, National Action Council for Minorities in $139,449,965 Engineering, NACME Scholars Program, $300,167, 8/16/2003 - 5/14/2010

AWARDS Anderson-Rowland, Mary, NSF, Academic and Professional Development $17,482,674 for Upper-Division Computer Science, Engineering, and Mathematics Students, $500,000, 9/15/2006 - 8/31/2010

EXPENDITURES Anderson-Rowland, Mary, Rodriguez, A., NSF, Collaborative Research: Motivated Engineering Transfers - STEM Talent Expansion Program $15,030,565 (METSTEP), $1,218,000, 9/1/2009 - 8/31/2012

18 Anderson-Rowland, Mary, NSF, Collaborative Interdisciplinary Research Barton, C. Michael, Sarjoughian, H., NSF, Land-Use and Landscape Community Maricopa Engineering Transition Scholars (CIRC/METS) Socioecology in the Mediterranean Basin, $1,523,996, 8/15/2004 $400,000, 8/15/2003 - 7/31/2009 9/30/2010

Anderson-Rowland, Mary, NSF, Motivated Engineering Transfer Students Bazzi, Rida, NSF, Collaborative Research: CSR-DMSS, TM: Safe Live (METS), $159,669, 8/1/2008 - 8/31/2010 Updates of Scientific Workflows, $700,000, 9/1/2008 - 8/31/2012

Anderson-Rowland, Mary, Rodriguez, A., Richa, A. NSF, Academic and Bhattacharya, Amiya, Dasgupta, P., NSF, NeTS: Small: Realizing an Professional Development for Upper-Division Computer Science, Architecture for Community Sensor Grids, $315,781, 10/19/2009 - Engineering, and Mathematics Students, $500,000, 9/15/2006 - 8/31/2010 12/31/2011

Askin, Ronald, Mirchandani, Pitu, DOT, Enhanced Monitoring and Burleson, Winslow, NSF, Workshop Proposal: Creativity and IT as Inte- Planning of Network Infrastructure with Remote Data Collection, $246,865 gral Elements of Growing Creative-IT Communities, $50,000, 9/1/2008 - 9/28/2009 - 1/3/2012 8/31/2010

Baral, Chitta, NSF, Knowledge Representation, Reasonsing and Problem Burleson, Winslow, NASA, Mission Contingencies for Team (Astronaut - Solving in a Cellular Domain, $496,465, 8/1/2004 - 7/31/2010 Robot - Mission Control) Interactions, $75,000, 8/29/2007 -8/17/2009

Baral, Chitta, NSF, EAGER: Enabling Collaboration in the Creation of Burleson, Winslow, NSF, Game as Life - Life as Game, $100,034, 9/1/2007 Scientific Databases from the Published Literature, $179,927, 9/1/2009 - -8/31/2009 8/31/2010

Burleson, Winslow, NSF, HCC: Collaborative Research: Affective Learning Baral, Chitta, Kambhampati, S., Langley, P., DOD, Effective Human Companions: Modeling and Supporting Emotion During Learning, $336,246 Robot Interaction under Time Pressure through Natural Language Dialogue 10/1/2007 - 9/30/2010 and Dynamic Autonomy, $1,000,000, 10/1/2007 - 6/30/2012

Baral, Chitta, Lee, J., Ye, J., Intelligence Advanced Research Projects Burleson, Winslow, NSF, SGER: Creativity in IT Research Organizations Activity, Integrating Machine Learning and Knowledge Representation $149,934, 9/1/2008 - 8/31/2009 for Discovery of Social Goals of Groups and Group Members from their Language Usage, $1,420,173, 8/24/2009 - 10/23/2012

19 2009-2010 AY RESEARCH AWARDS - contd.

Burleson, Winslow, NSF, Preparing for College: Using Technology to Chatha, Karamvir, Konjevod, G., Semiconductor Research Corporation, Support Students with Learning Disabilities in Mathematics, $25,496, SRC: System-level Design of Streaming Applications on Domain Specific 10/1/2009 - 9/30/2010 Multi-core Processors, $60,000 - 8/1/2009 - 7/31/2012

Candan, K. Selcuk, HP Corporate Philanthropy, Data-Quality Aware Chen, Yi, NSF, SGER: Enabling Effective Access to Scientific Workflows Middleware for Scalable Data Analysis, $150,000, 8/1/2009 - 7/31/2011 $87,370, 9/1/2007 - 8/31/2009

Candan, K. Selcuk, Korea Institute of Science and Technology, A Chen, Yi, NSF, CAREER: Analyzing and Exploiting Meta-information for Framework for Real-time Context Monitoring in Sensor-rich Personal Keyword Search on Semi-structured Data, $478,655, 3/1/2009 - 2/28/2014 Mobile Environments, $83,000, 7/24/2009 - 5/31/2011 Chen, Yi, NSF, III Core Small: Collaborative Research: Mining and Candan, K. Selcuk, Davulcu, H., Sundaram, H., NSF, MAISON: Optimizing Ad Hoc Workflows, $249,817, 9/1/2009 - 8/31/2012 Middleware for Accessible Information Spaces on NSDL, $499,970 , 1/1/2008 - 12/31/2010 Colbourn, Charles, Syrotiuk, V., DOD, Conditional Reliability and the Identification of Communities, $150,000, 6/4/2008 - 9/30/2009 Chakrabarti, Chaitali, Chatha, K., Vrudhula, S., NSF, CSR-EHS: Analytical Techniques for Global Energy Minimizaiton of a System of Interacting Components, $400,000, 8/1/2005 - 5/31/2010 Davulcu, Hasan, NSF, CAREER: A Logic-Based Dynamic Policy Model for Adaptive Workflow Management, $413,112, 1/16/2007 - 2/28/2011

Chasey, Allan, Baral, C., DOD, Research Support for Engineering Processes for Facility Delivery Activities and Facility Sustainment Management, Fowler, John, Askin, R., Zhang, M., Intel Corp, Factory Capacity $5,000, 9/14/2006 - 9/20/2010 Allocation Solver for Rapid within Shift Re-planning, $150,000, 1/1/2008 - 11/30/2010 Chatha, Karamvir, NSF, CAREER: System-Level Design of Network-On- Chip Architectures, $400,000, 3/15/2006 - 2/28/2011 Fowler, John, Intel Corporation, Intel Capital Equipment Supply Chain Lead Time Cost-Benefit Model,$250,000, 12/10/2008 - 9/22/2011 Chatha, Karamvir, Konjevod, G., NSF, System-level Design of Streaming Applications on Domain Specific Multi-core Processors, $233,014, Fowler, John, NSF, Collaborative Research: Optimization of the Design and 9/1/2009 - 8/31/2012 Operation Surgery Delivery Systems, $120,059, 9/1/2006 - 8/31/2010

20 Fowler, John, Wu, T., NSF, Collaborative Research: Developing an Engi- Kambhampati, Subbarao, NSF, RI:Medium: Collaborative Research: neering Virtual Organization for Discrete-Event Logistics Systems $26,884, Solving Stochastic Planning Problems Through Principled Determinization, 9/1/2007 - 8/31/2010 $328,821, 7/1/2009 - 6/30/2012

Gel, Esma, NSF, GOALI Collaborative Research: Matching Demand Kim, Seungchan, HHS-NIH-NLM, Integrating Genomic Data and and Supply through Price and Lead Time Decisions, $185,996, 9/1/2007 - Biological Knowledge to Learn Context-Specific Gene Networks,$91,470, 8/31/2011 7/1/2009 - 9/29/2010

Gober, Patricia, Rowe, Jeremy, NSF, Decision Center for a Desert City Kim, Seungchan, DOD, A New Therapeutic Paradigm for Breast Cancer (DCDC): Science and Policy of Climate Uncertainty, $7,503,929, 6/15/2004 Exploiting Low Dose Estrogen-Induced Apoptosis, $48,682, 9/1/2007 - - 8/31/2010 8/31/2009

Gupta, Sandeep, Kambhampati, S., Northrop Grumman, Metaplanning Kintigh, Keith, Davulcu, H., Kambhampati, S., Candan, K. S., NSF, AOC: Framework to Evaluate and Select Decision Making Paradigms for UAV Archaelogical Data Integration for the Study of Long-Term Human and So- Missions, $174,524, 2/8/2010 - 12/31/2010 cial Dynamics, $749,984, 11/1/2006 - 10/31/2010

Huang, Dijiang, NSF, EAGER: Collaborative Research: A Secure and Kintigh, Keith, Candan, K. S., Mellon (Andrew W.) Foundation, Digital Resilient Virtual Trust Routing Framework for Future Internet, $133,000, 5/1/2010 - 4/30/2012 Antiquity: Enabling and Enhancing Preservation of and Access to Archaeo- logical Information, $1,294,000, 12/22/2008 - 4/30/2011

Kambhampati, Subbarao, DOD, ASU Subcontract of LMCO Proposal to DARPA IL Program, $788,712, 5/15/2006 - 12/31/2009 Konjevod, Goran, Richa, A., NSF, Dynamic Routing, Distributed Hash Tables and Location Services, $108,999, 8/1/2008 - 7/31/2010

Kambhampati, Subbarao, DOD, Foundations of Model-lite Planning: The Challenges of Planning with Incomplete and Evolving Domain Models, Kumar, Sudhir, Ye, J., HHS-NIH-NHGRI, Computational Analysis of Gene $342,854, 10/1/2008 - 9/30/2011 Expression Pattern Images, $1,704,027, 7/1/2007 - 6/30/2011

Kambhampati, Subbarao, DOD, Source and User Adaptive Information Lacroix, Zoe, Chen,Y., NSF, Collaborative Research: SEI+II Proto- Integration, $472,589, 10/1/2008 - 9/30/2011 colDB: Archiving and Querying Scientific Protocols, Data and Provenance, $651,628, 8/15/2006 - 7/31/2010

21 2009-2010 AY RESEARCH AWARDS - contd.

Langley, Patrick, DOD, Mental Simulation and Learning in the Icarus Lee, Yann-Hang, Tsai,W-T., Electronics and Telecommunications Research Architecture, $139,529, 1/1/2009 - 6/30/2010 Institute, Developing Dynamic Service Generation Algorithm for Smart Home Devices, $38,167, 7/1/2009 - 1/31/2010

Langley, Patrick, Kambhampati, S., NSF, Computational Approaches to Creativity Through Goal-Directed Cross-Domain Analogy, $199,828, Li, Baoxin, DOD, An Event-driven Approach to Efficient Summarization, 9/15/2007 - 2/28/2010 Visualization, and Browsing of Massive Combat Video Database, $30,69, 1/27/2009 - 9/28/2009 Langley, Patrick, DOD, Software Integration for Computational Cognitive Models in Virtual Environments, $228,702, 7/1/2009 - 7/14/2011 Li, Baoxin, DOD, A Systematic Approach to 3D Imaging and Visualization for Enhancing Target Detection and Discrimination, $150,000, 11/1/2006 - 10/18/2009 Langley, Patrick, DOD, Workshop of Evaluation of Research in Human- Level AI, $9,791, 2/1/2009 - 1/31/2010 Li, Baoxin, NSF, CAREER: Enabling Independent Access to Digital Graphical Contents for People with Visual Impairment, $419,768 - 3/1/2009 2/28/2014 Langley, Patrick, DOD, MURI: A Unified Computational Theory of Language and Cognition, $644,849, 6/1/2009 - 5/31/2012 Li, Baoxin, Liu, H., NSF, III-Medium: A Machine Learning Approach to Computational Understanding of Skill Criteria in Surgical Training, Lant, Timothy, Fowler, J., Arizona Department of Health Services, $874,484, 5/16/2009 - 6/30/2013 Risk Communication Analysis and Simulation for Pandemic Influenza Preparedness, $120,000, 9/16/2009 - 9/15/2010 Li, Jing, NSF, Regression-based Quality Improvement in COmplex Systems with Consideration of Data Uncertainty, $190,476, 9/1/2008 - 8/31/2011 Lee, Joohyung, NSF, RI: Small: Enhancing Nonmonotonic Declarative Knowledge Representation and Reasoning by Merging Answer Set Programming with Other Computing Paradigms, $290,668, 7/1/2009 - Liu, Huan, DOD, Developing A Cultural Analysis and Sociological 8/31/2012 Network Theory for Understanding Virutal Communities and Their Intrinsic Relationships on the Web, $261,735, 1/15/2009 - 11/30/2011 Lee, Joohyung, NSF, SGER: Grounding Independent Reasoning in Answer Set Programming, $80,000, 9/1/2008 - 8/31/2009 Liu, Huan, Woodward, M., DOD, BlogTrackers: Building Search and Tracking Capabilities for Assessing Political Risks (Phase 2), $88,981, 10/10/2008 - 5/31/2010 Lee, Yann-Hang, Tsai,W-T., Electronics and Telecommunications Research Institute, Process based Ontology Design for Smart Home Applications, Liu, Huan, DOD, Online Social Behaviors and Prediction of their $73,000, 8/1/2008 - 1/30/2010 Implications for the Physical World-A Comparative Study, $284,721, /1/2009 12/31/2011 22 Liu, Huan, DOD, BlogTrackers: Analyzing Social Media for Cultural Nganje, William, Runger, G., Villalobos, J. R., DHS, Intelligent Food Modeling, $419,739, 1/31/2010 - 12/31/2013 Defense Systems for International Supply Chains: The Case of Mexico Fresh Produce to the U.S., $247,091, 7/1/2008 - 12/31/2009 Liu, Huan, HHS-NIH-NIGMS, Second International Workshop on Social Computing, Behavioral Modeling, and Prediction, $12,000, 3/16/2009 - Nielson, Gregory, NSF, Special Project: Building Relationships with Asia 3/15/2010 to Foster Research Exchanges and Student Training in Scientific Data Visualization and Modeling, $15,000, 8/1/2007 - 7/31/2009 Liu, Huan, DOD, Modeling Group Interactions via Open Data Sources, $434,782, 3/1/2008 - 11/30/2010 Pan, Rong, Li, J., ADOT, ADOT Research Project SPR675: Effectiveness of Young Driver Training and Graduated Licensing Laws, $80,000 1/13/2009 - 8/1/2010 Liu, Huan, NASA, A Collective-Computation Approach to Prognostics Health Management, $200,000, 8/1/2008 - 8/31/2009 Pan, Rong, Montgomery, D., NSF, Collaborative Research: Efficient Ex- perimentation for Product and Process Reliability Improvement, $348,315 Maracas, George, Pan, R., Science Foundation of Arizona, PEPER- 10/1/2009 - 9/30/2012 Photovoltaic Environmental Performance and Reliability for the Arizona- Wide Electric Grid, $2,890,000, 6/30/2009 - 6/29/2012 Pan, Rong, DOD, Understanding and Validating NOEM Outputs, $31,000 , 1/1/2010 - 9/30/2010 Mchenry, Albert, Villalobos, J. R., NSF, More Graduate Education at Mountain States Alliance (MGE@MSA) AGEP Phase II (2004-2009) $10,100,000, 10/1/2004 - 3/31/2011 Pan, Rong, DOD, Analysis of Stability Indices and Their Representations in NOEM, $10,000, 8/10/2009 - 12/31/2009 Mirchandani, Pitu, Telvent Farradyne Inc., Integration of the RHODES Adaptive Control Algorithm with MIST Platform, $76,616, 8/1/2009 - 9/30/2010 Pan, Rong, DOEd, Developemnt and Evaluation of e-Based Bio-Manu- facturing Laboratory for Engineering Education, $118,981, 10/1/2008 - 9/30/2012 Mobasher, Barzin, Montgomery, D., ADOT, Economical Concrete Mix Designs Utilizing Blended Cements, Performance Based Specifications, and Rational Pay Factors, $120,000, 7/8/2008 - 11/15/2010 Pan, Rong, NSF, Modeling and Analysis of Profiled Reliability Tests Using Computation-Intensive Statistical Methods, $263,256, 9/1/2006 - 6/30/2010 Montgomery, Douglas, NSF, Collaborative Research: Web-based, Active Learning Modules for Teaching Statistical Quality, $245,245, 8/11/2008 - 8/31/2011 23 2009-2010 AY RESEARCH AWARDS - contd.

Qian, Gang, Candan, K. S., Farin, G., Li, B., Sundaram, H., NSF, Runger, George, Intel Corporation, Data Mining Pilot on Intel Factory CISE RI: An Interdisciplinary Research Environment for Motion Analysis, Data, $285,500, 11/1/2002 - 12/31/2010 $758,082, 9/1/2006 - 8/31/2011 Runger, George, Ministry of Science, Technology & Innovation, Danish Razdan, Anshuman, Wonka, P., DHS, ATIC-ASU component of Kutta Industrial Ph.D Fellowship, $29,450, 8/16/2002 - 8/15/2009 Consulting, Inc’s submission to Dept. Homeland Security STTR, Phase II, $200,000, 5/15/2008 - 8/15/2010 Runger, George, NSF, Feature Selection with Ensembles for Complex Systems, $99,999, 9/1/2007 - 2/28/2010 Razdan, Anshuman, Wonka, P., DOD, Geometry Based Feature Extraction and Analysis of Geo Data, $449,094, 7/29/2005 - 7/28/2009 Runger, George, NSF, Collaborative Research: Blind Discovery of Variation sources for Visualization by Multidisciplinary Teams, $170,063, Richa, Andrea, NSF, Theory of Self-Stabilizing Overlay Networks, $170,161 8/1/2008 - 7/31/2011 9/1/2008 - 8/31/2010 Runger, George, Semiconductor Research Corporation, Demand-Pricing Rikakis, Thanassis, Candan, K. S., Sundaram, H., NSF, IGERT: An Relationships for a Better Demand Supply Chain Planning, $318,000, Arts, Sciences, and Engineering Research and Education Initiative for 1/1/2009 - 12/31/2011 Experimental Media, $3,638,079, 10/1/2005 - 9/30/2011 Sarjoughian, Hessam, RTSync Corp., Automated Sensor-based Network Rodriguez, Armando, Anderson-Rowland, M., Richa, A., NSF, Academic Simulation Joint Interoperability Test Command, $226,021, 10/1/2008 - and Professional Development for Upper-Division Computer Science, 3/31/2010 Engineering, and Mathematics Students -II: Transition to Research, $600,000, 9/1/2007 - 8/31/2011 Sen, Arunabha, Li, B., DOD, Shared Vision: Embedded Technology for Military Operations in Urban Terrain, $304,592, 8/1/2006 - 8/14/2009 Rodriguez, Armando, Anderson-Rowland, M., Richa, A., NSF, Academic & Professional Development for Lower-Division Computer Science, Engineering, and Mathematics Students: Transition to Upper-Division, Sen, Arunabha, Li, B., DOD, VISION-SHARE System: A Test bed for Video $600,000, 8/1/2008 - 7/31/2012 Transmission over Mobile Ad-hoc Networks with Applications to Military Operations in Urban Terrain (DURIP), $92,657, 5/1/2007 - 8/14/2009 Runger, George, Rowe, J., DOD, Important Features for Complex Systems with Transient Effects, $452,380, 3/16/2009 - 3/15/2012 Sen, Arunabha, DOD, Robust Network Design - Connectivity and Beyond, $1,288,640, 4/1/2009 - 11/30/2010

24 Sen, Arunabha, DOD, First International Workshop on Network Science for Tsai, Wei-Tek, Chen,Y., Collofello, J., Lee, Y-H., DOEd, Preparing Communication Networks (NetSciCom), $10,000, 4/8/2009 - 4/7/2010 High School Teachers for Service-Oriented Computer Science Education, $596,427, 11/1/2006 - 5/31/2011 Sen, Arunabha, DOD, A Robust and Resilient Network Design Paradigm for Region-Based Faults Inflicted by WMD Attack, $758,140, 4/8/2009 - Van Schoik, Liu, H., Runger, G., Rowe, J., DHS, DHS COE in Border 4/7/2012 Security and Immigration, $408,500, 7/1/2008 - 6/30/2010

Shrivastava, Aviral, Arizona Security Technologies, Inc., Arizona Security VanLehn, Kurt, Aptima, Inc, Adaptive Training to Enhance Individual and Technologies Consulting Relationship with Aviral Shrivastava, $12,233, Team Learning, $31,000, 6/29/2009 - 4/30/2010 5/20/2010 - 8/19/2010

VanLehn, Kurt, Burleson, W., NSF, Deeper Modeling via Affective Meta- Shrivastava, Aviral, NSF, CCF-SHF: CSR: Small: Compilation for Multi- tutoring, $643,118, 9/1/2009 - 8/31/2011 Core Processors with Limited Local Memories, $515,776, 8/1/2009 - 7/31/2012 VanLehn, Kurt, NSF, PSLC LearnLab Course, $499,313, 10/1/2009 - 1/31/2015 Shrivastava, Aviral, Microsoft Corporation, Low Power Compilation in Phoenix, $50,000, 10/11/2007 - 10/10/2010 VanLehn, Kurt, NSF, Transfer Award: ITR: Tutoring Scientific Explana- tions via Natural Language Dialogue, $139,488, 10/1/2008 - 12/31/2009 Sundaram, Hari, Candan, K. S., NSF, Collaborative Research: Design of Dense RFID Systems for Indexing in the Physical World across Space, Time, and Human Experience, $174,000, 9/15/2007 - 8/31/2010 Villalobos, J. Rene, Askin, R., Gel, E., NSF, Arizona State University affili- ation with the Center for Engineering Logistics and Distribution (CELDi), Sundaram, Hari, Avaya Labs Research, Context Aware Expertise Closure $107,856, 6/3/2008 - 8/31/2011 $190,909, 12/1/2005 - 8/14/2010 Villalobos, J. Rene, Administracion Portuaria Integral de Guaymas S.A. de Syrotiuk, Violet, Colbourn, Charles, Fed Govt, Autonomous Network C.V, CELDi Member: Port of Guaymas, $51,700, 2/1/2009 - 8/31/2010 Optimization and Compressive Sensing, $311,959, 9/24/2009 - 9/23/2010 Villalobos, J. Rene, ADOT, CELDi Membership: Forcast and Capacity Tsai,Wei-Tek, Chen,Y., DOD, Testing Service-Oriented Software and Planning for Nogales’ Ports of Entry (Nogales POEs Traffic Study), Systems, $41,500, 6/1/2010 - 12/31/2010 $100,000, 7/1/2008 - 12/31/2009

25 2009-2010 AY RESEARCH AWARDS - contd.

Villalobos, J. Rene, Consejo para el Desarrollo Economico de Sinaloa, CEL- Wonka, Peter, NSF, SEI(GEO): Visual Geo-Analystics, $610,335, 8/1/2006- DI Member: CODESIN (Consejo para el Desarrollo Economico de Sinaloa), 7/31/2010 $104,500, 2/1/2009 - 8/31/2010 Wonka, Peter, NSF, Pilot: SOUZOU - Creativity through Procedural Vrudhula, Sarma, Chatha, K., Dasgupta, P., Shrivastava, A., Science Modeling, $199,962, 7/1/2008 - 6/30/2011 Foundation of Arizona, An Integrated Design Framework for Application Development on Multi-core Processors, $2,000,000, 5/16/2008 - 7/31/2011 Wonka, Peter, NSF, HCC: Small: Collaborative Research: Graph and Pattern Design on Surfaces, $249,601, 8/1/2009 - 7/31/2012

Vrudhula,Sarma, Lee,Y-H., Chatha, K., Shrivastava, A., NSF, Collaborative Research: Consortium for Embedded Systems, $300,000, Wonka, Peter, Vienna University of Technology, Gameworld: Procedural 3/1/2009 - 2/28/2014 Worlds for Games, $129,727, 3/1/2008 - 2/28/2011

Vrudhula,Sarma, Raytheon, Membership Agreement: Raytheon Company: Wonka, Peter, NSF, CAREER: Constraint Proceedural Urban Modeling, Consortium for Embedded Systems Membership, $100,000, 1/1/2008 - $559,117, 3/1/2007 - 2/28/2011 12/31/2009 Wonka, Peter, Ye, J., NSF, CPA-G&V: Tensor Factory, $299,999, 7/1/2008 Vrudhula, Sarma, Intel Corporation, CES Member: Intel Corporation - 6/30/2011 $50,000, 9/28/2009 - 9/27/2012

Woodward, Mark, Davulcu, H., DOD, Funding Allies for the War of Words: Vrudhula, Sarma, NSF, NeTS:Medium:Collaborative Research: Exploiting Mapping the Diffusion and Influence of Counter-Radical Muslim Discourse, Battery-Supply Nonlinearities in Optimal Resource Mgmt and Protocol $5,886,813, 4/1/2009 - 3/31/2014 Design for Wireless Sensor Networks, $215,000, 8/1/2009 - 7/31/2012

Wu,Tong, Zhang, M., Mayo Clinic Scottsdale, Integrated Patient Radiation Vrudhula, Sarma, NSF, Collaborative Research: Synthesis, Verification Dose Record (IIMF), $148,380, 1/1/2009 - 12/31/2010 and Testing for Nano-CMOS and Beyond using Threshold Logic, $200,000, 10/1/2007 - 9/30/2010 Xue, Guoliang, NSF, WN:Collaborative Research: Cross-layer Optimization for Dynamic Spectrum Access Wireless Mesh Networks, $108,000, 9/1/2007 - Vrudhula, Sarma, Science Foundation of Arizona, A Novel Threshold Logic 2/28/2010 Based Circut Architecture for High Performance and Low Power Digital Systems, $490,000, 10/1/2008 - 9/30/2010

26 Xue, Guoliang, NSF, IHCS: Improving Coverage and Connectivity in Zhang, Junshan, Xue, G., NSF, NeTS: Medium: Collaborative Research: Heterogeneous Wireless Sensor Networks through Relay, Cooperation, and MIMO-Pipe Modeling, Scheduling and Delay Analysis in Multi-hop MIMO Mobility, $339,519, 8/1/2009 - 7/31/2012 Networks, $400,000, 8/1/2009 - 7/31/2012

Xue, Guoliang, DOD, Multi-Constrained Multi-Path Routing Algorithms, Zhang, Muhong, Wu, T., Mayo Clinic Scottsdale, ASU Mayo Seed Grant: $442,236, 8/25/2009 - 8/24/2013 Radiation Skin Dose Calculation for Specific Patient in Various Procedures, $24,714, 1/1/2009 - 12/31/2009 Yau, Sik-Sang, Candan, K. S., Dasgupta, P., Huang, D., Xue, G., Ahn, G-J., Ye, N., DOD-NSA, DoD Information Assurance Scholarship (IASP) Program: Building Information Assurance forces at Arizona State University, $52,766, 9/11/2008 - 9/10/2009

Yau, Sik-Sang, Sarjoughian, H., Ye, N., NSF, SoD: Design of Service- based Software Systems with Qos Monitoring and Adaptation and Adaptation, $800,000, 8/1/2007 - 7/31/2011

Ye, Jieping, Wonka, P., DOD, Integrated Spectral Dimensionality Reduction, $301,104, 8/5/2008 - 8/5/2010

Ye, Jieping, NSF, SEI: Machine Learning Approaches for Biological Image Informatics, $583,603, 8/1/2006 - 7/31/2010

Ye, Jieping, NSF, CAREER: Dimensionality Reduction for Multi-label Classification,$78,388, 4/1/2010 - 3/31/2011

Ye, Nong, DOD, Models of Quality of Service and Quality of Information Assurance towards Their Dynamic Adaptation, $204,084, 4/30/2008 - 10/30/2010

27 FACULTY EXCELLENCE

Montgomery Earns Greenfield Industrial Medal, Panchanathan Named to Prestigious Academy Nakamura Named Engineering Lifetime Achievement Award Sethuraman "Panch" Panchanathan, deputy Schools’ ‘Best Teacher’ vice president for Research in ASU's Office of The year 2009 brought two prestigious career highlights for Regents’ Professor the Vice President for Research and Economic Douglas Montgomery. In February, Montgomery received the Engineering Affairs, was recently inducted into the prestigious Lifetime Achievement Award, bestowed by the Greater Phoenix Area Engineers Canadian Academy of Engineering. The during National Engineers Week. The Greater Phoenix Area group accepts Academy was established in 1987, and is an award nominations from several local chapters of various professional active member of the international Council of engineering societies, engineering and construction companies, public agencies Academies of Engineering and Technological and educational institutions. Sciences (CAETS), which involves 25 other leading countries compromised of a small Receiving the 2009 Lifetime Achievement Award is especially fitting for number of distinguished engineers. Montgomery, who is being recognized for his numerous achievements and contributions to the field of Engineering, which include four decades as a Panchanathan is also a foundation chair in teacher, researcher, author and industry consultant. Computing and Informatics in the School of Computing Informatics and Decision Systems Engineering and the director of the Research Center for A second honor bestowed to Dr. Montgomery was the Greenfield Industrial Cognitive Ubiquitous Computing (CUbiC) at ASU. Medal (named for Tony Greenfield, renowned statistician, professor and industry consultant), by the Great Britain-based Royal Statistical Society at its annual meeting in June. Dr. Greenfield states of Montgomery: Liu Receives Most Influential Paper Award “Douglas Montgomery shares my passion for teaching engineers and scientists At The 14th Pacific-Asia Conference on Knowledge Discovery and Data how to use statistical methods in their research, especially for improving Mining (PAKDD), The Most Influential Paper Award 2010 was awarded products and processes. But his achievements in satiating that passion have far to Manoranjan Dash and Huan Liu (on right), for their technical paper exceeded any that I could have hoped for myself. on Feature Selection for Clustering He has excelled in bringing together his wide published and presented at PAKDD abilities in engineering, mathematics, statistics, 2000, in recognition of its influential and writing and teaching. His books are profound lasting contribution to the field of data in knowledge and splendid in their pedagogy. I mining, as evidenced by citations and was thrilled, delighted and humbled to learn that impressive body of research based on it. the Royal Statistical Society had awarded him Many quality papers started appearing in the Greenfield medal.” The society, with more 2004 on the same topic. Liu states, “Of than 7,000 members in 50 countries, provides all the things we do as scientists, coming professional support to users of statistics and up with an original idea that stands the statisticians, and promotes the benefits of expertise test of time is far and away the most in statistical methods to the industry. significant one.” 28 Nakamura Named Engineering 2009-2010 Best Paper Awards Schools’ ‘Best Teacher’ I. Arroyo, D. Cooper, W. Burleson, B. Woolf, K. Muldner and R. Christopherson, “Emotion sensors go to school,” Proceedings of 14th International Conference on Mutsumi Nakamura is the recipient of the Best Artificial Intelligence in Education, Brighton, England, July 2009 Teacher Award for the 2009-2010 academic year in Arizona State University’s Ira A. Fulton M. Chi, K. VanLehn and D. Litman, “Do Micro-level Tutorial Decisions Matter: Schools of Engineering. Applying Reinforcement Learning to Induce Pedagogical Tutorial Tactics.” In V. Aleven, J. Kay & J. Mostow (Eds), Intelligent Tutoring Systems: 10th International Nakamura, who has been teaching at ASU Conference, ITS 2010 (pp. 184-193). Heidelberg, Germany for the past decade, is a senior lecturer in the School of Computing, Informatics, and Decision Systems Engineering. S. Kim, S. Nasser, A. Ranade and G. Weiss, “Identifying MiRNA and Imaging Features Associated with Metastasis of Lung Cancer to the Brain.” 2009 Dr. Nakamura was also the recipient of this International Conference on Bioinformatics & Biomedicine in Washington, D.C., year’s CSE Best Teacher Award, an honor 2009. that is bestowed to a SCIDSE faculty member by student nomination. The awards recognize exceptional contributions to the instruction and mentoring H. Liu and Z. Zhao, “Biological Relevance Detection via Network of students. Nakamura teaches core courses in computer science and Dynamic Analysis”, 2nd International Conference on Bioinformatics engineering, including computer programming and software engineering. and Computational Biology (BICoB), Honolulu, Hawaii. March 24 - 26, 2010 Anderson-Rowland Recipient of 2009 Most Influential Paper Award-Runner Up WEPAN Educator’s Award M. Do and S. Kambhampati, “Solving Planning Graph by Compiling it into a Mary Anderson-Rowland, associate professor in the program of Industrial Engi- CSP.” Proc. 5th AIPS. AIPS 2000: 82-91, ICAPS, Toronto, 2010 neering, has won the 2009 Women in Engineering Proactive Network (WEPAN) Educator's Award. 2009-2010 Most Viewed Presentation The annual honor recognizes engineering educators for exceptional achievement in “Safe, Secure and Sustainable Body Area Networks using Intel ATOM” increasing the participation and retention of Sandeep Gupta, School of Computing, Informatics, and Decision Systems Eng. women in engineering. "She has had a profound (SCIDSE), Arizona State University, Tempe, AZ. impact on the lives of hundreds of students," said James Collofello, associate dean for Academic and Student Affairs for the Fulton Schools of Konjevod wins 1st Place in Exhibit of Mathematical Art Engineering. “Professor Anderson-Rowland has changed the face of our engineering school Goran Konjevod won the first-place prize in the Exhibition of Mathematical Art with her leadership in supporting women in at the 2009 national Joint Mathematics Meetings of the American Mathematical engineering.” Society and Mathematical Association of America in Washington, D.C.

29 CAREER AWARDS

Using Computers to Help the Visually Impaired

Baoxin Li is working in the areas of computer vision, multimedia processing and statistical methods in visual computing. His Career Award provides about $404,000 over five years for research into technology to aid visually impaired people. “We want to build a computer-based system to automatically create tactile graphics for people with visual disabilities,” Li says. His idea is to use computer technology to allow a person with visual impairments to read text or view web site content on-demand in the privacy of their own homes and work spaces in the same way as people without sight impairments. His research team is attempting to render representations of graphics usable by the visually impaired. One project is the development of software designed to “read” an image and render a tactile representation of that image. Initially, Li is focusing on textbooks used by students in science, technology, engineering and mathematics, commonly referred to as STEM courses. He explains that STEM education materials are “heavy with diagrams and illustrations” presenting a challenge for sight-impared students who must seek out Baoxin Li services to assist them in comprehending the illustrations that are central to STEM studies. Associate Professor

Unlocking the Door to the Internet’s Deep Well of Data Yi Chen Assistant Professor

Yi Chen's work in computer science and engineering focuses on data management. She wants to improve the accessibility of Internet data for search engine users. Chen points out that Internet users employ Google to access millions of HTML documents accessible on the World Wide Web. In addition to this easily searched information, there is a "hidden web," she says, that includes high-quality research, travel, commerce and manufacturing data stored in databases not easily accessed by search engines such as Google. "The better research information you have," says Chen," the better your discoveries can be." Chen would like to develop a single interface that can search both HTML documents and databases using simple keyword searches. The NSF cites Chen's work as a potentially transformative advance because it would allow the user to cut across the boundaries between information that is stored in distinctly different modes, and it would overcome some of the problems associated with traditional databases and methods of information retrieval.

Dean Deirdre Meldrum presents Drs. Baoxin Li (above) and Yi Chen (right) with their NSF Career Awards

30 Cutting Through the Torrent of Data: Dimensionality Reduction

Recent advances in high-throughput technologies have unleashed a torrent of data with a large number of dimensions. Examples include gene expression pattern images, microarray gene expression data, protein/gene sequences, and neuroimages. Dimensionality reduction, which extracts a small number of features by removing irrelevant and redundant information, is crucial for the analysis of these data. The goal of this project is to develop efficient and effective dimensionality reduction algorithms for multi-label classification.

Ye states "My work aims at developing efficient and effective dimensionality reduction algorithms for knowledge discovery and pattern mining from massive high-dimensional multi-label data. High dimensional data analysis has become increasingly important in diverse areas including genomics, health sciences, finance, statistics, signal processing, and machine learning." The algorithms and tools developed in this project will directly impact biological research, as they will be used to annotate FlyExpress images. FlyExpress is the only digital library of standardized fruit fly embryonic patterns. The components of this project include developing a new curriculum that incorporates research into the classroom and provides students from under-represented groups with opportunities. Jieping Ye Associate Professor

Dijiang Huang Navy Supports Mobile Communications Research Assistant Professor

Better security, reliability and mobility are the big targets in the realm of wireless communication technologies. Dijiang Huang’s promising research in computer and communications networks – specifically in the emerging area of secure mobile cloud computing – has earned him a grant from the Office of Naval Research (ONR) Young Investigator Program to help take aim at these goals.

The Arizona State University assistant professor is one of 17 researchers to win one of the ONR program’s 2010 Young Investigator Awards – from among more than 200 who applied – and the only one to earn such a grant in the area of secure networking and communication. The ONR grant will provide up to $510,000 over three years to support Huang’s effort to develop a framework for advanced mobile wireless computing and communication systems that will employ cloud-computing techniques. Cloud computing is Internet-based computing that works similarly to a public utility, providing on-demand information and software services directly to computers and mobile devices. His goal is to develop a new mobile service model that uses mobile devices as cloud-service nodes with a range of capabilities comparable to cell phones, global-position tracking systems, sensing and networking technologies.

31 COMMUNITY OUTREACH

SCIDSE’s Motivational Environments Research environments, these expeditions introduce and empower participants to engage with and advance new experiences that foster personal ownership of Group Advances K-12 STEM Cyberlearning STEM skills, learning and creativity.

SCIDSE’s Motivational Environments research group, led by Assistant The Motivational Environments group is training teachers and museum Professor Winslow Burleson, is advancing the next generation of Human- educators with new skills to implement effective use of the innovative Computer Interaction methods, theories, technologies, architectures, and cyber learning technologies and methodologies. With collaborators at the environments that incorporate wearable and ambient sensors, responsive University of Massachusetts Amherst and MIT, Dr. Burleson’s Intelligent spaces, robots and relational agents to promote creativity, teamwork, Tutoring Systems have been used by thousands of students. All of this learning, and motivation. These activities are pursued through collaborations is made possible through close collaborations with the San Francisco with teachers, online communities and museums involved in the research and Exploratorium, Smithsonian Institute’s National Zoological Park, American development of novel educational technologies and the iterative deployment Geological Institute, ASU’s School of Earth and Space Exploration’s Deitz and evaluations of these in real world classrooms, museums, zoos and Museum and Mars Education Program, with support from iRobot, Motorola, outdoor settings through participatory design methodologies. and research grants from the National Science Foundation and NASA.

The group engages children in grades K-6 in robotic pet building activities that foster their interest in STEM education. They use paper cards with compelling icons to teach robotic birds, frogs, cows and lions equipped with web cams and computer vision software how to decode the icons, and how to navigate and behave in challenging environments. Learners are also asked to “become the robots” as a naturally engaging way for them to form new hypotheses and to test and debug scenarios they construct. As pet building activities broaden the traditional scope of STEM learning, they are especially interesting to girls.

Middle and high school students take the activity one step further by translating the card-based icons into functional and interactive programs. Their technical and team working skills are extended through exploration scenarios and advanced mobile gaming paradigms, such as smart classrooms configured as Astronaut Robot Mission Simulators, which allow students to “re-visit” the Apollo 15 lunar landing site, as well as visit the Mars Rover mission landing sites that have not yet been visited by humans. Using low- cost off-the-shelf gaming technologies as well as immersive and online Children engage in “hands-on: minds on” STEM learning and embodied play with Robotic pets in the LEGO sponsored Sprock-it project. 32 Robotics Camp Offers Young Students a Gateway technology development,” says Dr. Yinong Chen, a lecturer in the faculty of Computer Science and Engineering and leader of the Robotics Camp. to Higher Education in Science and Engineering During the camp, Chen uses the intuitive Microsoft Visual Programming ASU’s Robotics Camp is a summer program series designed for middle school Language and Robotics Studio to engage students, while teaching the latest and high school students who intend to pursue a science and engineering career. engineering design concepts and computing technologies. Students will also The camps are sponsored by the U.S. Department of Education, Intel, and the work with Lego Mindstorm NXT robots, using Lego building-block logic to School of Computing, Informatics and Decision Systems Engineering at Arizona demystify programming and robotics. State University. Chen explains, “We emphasize the logic rather than the syntax of the language. The camp is part of the engineering school’s contribution to the national This program is more graphically oriented. Camp instructors use component- effort to interest more students in careers in science, engineering, technology based robot construction, robotics programming, Web programming, and Alice and mathematics. “We are working in cooperation with the Department of game programming as a vehicle to teach the latest engineering design concepts Education’s goal to ensure the country produces the top scientists and engineers and computing technologies. The robots built by students will enter a robotics needed to keep the United States a leader in technological innovation and competition and demonstration at the end of the camp.”

33 STUDENT EXCELLENCE

COMPUTER SCIENCE STUDENTS WIN TOP AWARD at MICROSOFT IMAGINE CUP WORLD FINALS

ASU students create a device to help people with visual impairments succeed in the classroom

Computer Science student David Hayden turned frustration with his visual impairment into motivation, and the result has earned an Arizona State University student research team a top prize in a major international competition for technological innovation.

Hayden and team member Andrew Kelley recently returned from Warsaw, Poland, with a first-place trophy from the 2010 Imagine Cup Worldwide Finals organized by Microsoft, a global leader in computer software development and services. Overall, more than 325,000 students from more than 100 countries took part in stages of the competition leading to the finals.

Some 50 student teams from around the world entered a special category of the competition that challenged them to find creative ways to use Microsoft Windows-based Tablet PCs to improve access to education. Of those 50 teams, the ASU group was one of only two whose projects earned them invitations to Warsaw to compete at the Imagine Cup finals. Hayden’s and Kelley’s presentation and demonstration of the Note-Taker, a system designed to aid the visually impaired, deeply impressed the panel of judges, said ASU research scientist John Black. Black mentored the team, which developed the Note-Taker system in the Center for Cognitive Ubiquitous Computing – known as CUbiC Note-Taker Team members David Hayden & Andrew Kelley in the School of Computing, Informatics, and Decision Systems Engineering. accept their 1st Place Award at the Microsoft Imagine Cup award ceremony. The Note-Taker team, led by Hayden, includes computer science undergraduate Kelley, computer science doctoral student Mike Rush, industrial design graduate student Liqing Zhou, electrical engineering undergraduate Michael Astrauskas, and post-doctoral research associate Gaurav Padhan.

Hayden realized that his visual disability was jeopardizing his pursuit of a bachelor’s degree with a dual major in computer science and mathematics. None of the commercially available assistive technologies allowed Hayden to keep up with classroom note-taking in advanced mathematics coursework, during which instructors often filled more than a dozen whiteboards with theorems and proofs in a mere 45 minutes. Left with little recourse, Hayden began working on a solution.

The Note-Taker consists of a portable, custom-designed video camera and a Tablet PC. The camera is able to tilt up and down, and sweep side to side, as well as zoom in on its target. The Tablet PC provides a split-screen display. One half of the screen has a window that shows live video from the camera, while the other half has a window that is used for handwriting or typing notes. This dual-window interface allows students with visual impairment to quickly glance back and forth between the live view of the classroom whiteboard and their notes, just like their sighted peers. The video window also allows the user to aim and zoom the camera by simply dragging, tapping or pinching within the video window.

Hayden says that the Note-Taker overcomes the limitations of many assistive technologies which “force students with disabilities to rely on a special classroom infrastructure, or on people who aren’t always available when the student needs assistance.” The Note-Taker solves the problem by being portable, inexpensive, small enough to fit on a typical classroom desk, and easy to set up.

Hayden, who was recently awarded the National Science Foundation’s Graduate Research Fellowship, plans to pursue a Ph.D. in computer science. He says the experience with the Note-Taker has bolstered his commitment to achieving further advances in portable, wearable and prosthetic technologies that help people improve their capabilities in perception, cognition and mobility.

34 STUDENT ONLINE SOFTWARE PROJECT Professor Subbarao WINS WEBBY AWARD Kambhampati‘s former student Daniel Bryce (pictured on right), For their course project, a team of computer science students enrolled in Dr. who received his Ph.D. from Yinong Chen’s CSE 593 course developed an Android application for the Target ASU CSE in 2007, received the Corporation. The team’s application, which allows mobile phone users to find 2009 Best Dissertation Award anything in Target stores easily, has won a Webby Award for Target’s mobile site at the International Conference in the Mobile Marketplace and Services Category. Chosen by members of The on Automated Planning and International Academy of Digital Arts and Sciences, the Webby Award is the leading Scheduling (ICAPS) held in international award honoring excellence on the internet- including web sites, Thessaloniki, Greece. Bryce is interactive advertising, online film and video. now an Assistant Professor of Computer Science at Utah State OUTSTANDING STUDENT ACHIEVEMENTS University. Bryce’s dissertation is entitled “Scalable Planning Jenny Hastings, a sophomore in the computer science degree program, won Under Uncertainty.” first place in the 2009 Games 4 Girls Programming Competitionwith her game entitled “Pearly”. Entries in the computer-game programming competition were Robert Trevino, a student of Asst. Professor Seungchan Kim, received a judged by a panel of 11 female high school students, who rated the games on levels Fulbright Scholar award for 2009-10. Trevino, who is studying for his master’s of enjoyment. Fifty-eight college women on 19 teams participated in the event, in computer science, will conduct research on breast cancer at Lund University in with up to five members allowed per team. Hastings’ victory is unique because she Sweden, which has large hereditary breast cancer datasets. He hopes to advance competed solo. The competition took place at the ChicTech Technical Ambassadors the field by expanding on an innovative computational methodology for revealing Competition 2009 Retreat Weekend, April 18 -19, on campus of the University of signaling pathways in cancer cells. Illinois at Urbana-Champaign. The event is part of an effort to help college women gain real-world, collaborative experience by creating original computer software for Raju Balakrishnan, a graduate student of Professor Subbarao Kambhampati was girl gamers. The award for the winning entry is $2000, plus a $500 donation to the one of 20 students nationally to be selected to receive a Yahoo! KSC (Key Scientific School of Computing, Informatics, and Decision Systems Engineering, to support Challenges) award. The award includes a $5,000 prize and invitation to attend a student diversity efforts. workshop on technical challenges for the Internet research community, designed to bring together innovative and emerging graduate students with Yahoo! scientists. Shaun Paredes and Nicholas Vaidyanathan have won Google Hispanic College Balakrishnan also recently earned the best poster award for his work on Fund Scholarships. The scholarships provided by Google, the Internet search SourceRank, at the 2010 World Wide Web conference. Raju received two company, support students of Hispanic background studying computer science or certificates and a $500 cash award. A total of 70 posters were ranked at the computer engineering as a junior or senior undergraduate, or pursuing a master’s conference. or doctoral degree in the fields. Paredes is pursuing an undergraduate degree in computer systems engineering, and Vaidyanathan is pursuing a Ph.D. in computer Outstanding Engineering Graduate Award CS Distinguished Senior Award science. Each is receiving a $10,000 academic scholarship – half awarded now, the Luz Osuna, 2010 Michael Bartholomew, 2010 other half awarded if they have 3.5 or above grade point averages at the end of the IE Distinguished Senior Award CSE Distinguished Senior Award fall semester. Luz Osuna, 2010 Duo Li, 2010

35 ACADEMIC PROGRAMS Undergraduate Degrees

The Bachelor of Science in Engineering (B.S.E) in Computer Systems This degree also offers a Software Engineering concentration consisting Engineering emphasizes the design and production of hardware and of courses in which students have an opportunity to master software software components comprising a computer system. It includes courses development techniques while working in teams. A concentration in on computer organization and architecture, system programming, operating Information Assurance is available for this degree as well. systems, embedded micro systems and digital hardware design. Although the program addresses numerous application areas, a unique focus on embedded The Bachelor of Science in Engineering in Industrial engineering systems sets it apart. A concentration on Information Assurance is also (B.S.E.) is ranked among the top 20 in the nation. The program concentrates available. on the design, operation and improvement of the systems required to meet societal needs for products and services. Students complete 33 hours of The Bachelor of Science (B.S.) in Computer Science provides a solid upper division industrial engineering courses, three semester hours of background in computing principles and enables students to customize their technical electives, and nine hours of career-focused study area electives. degrees with 21 hours of computer science and technical electives. More Undergraduates learn to apply systems modeling and analysis skills to ensure than 30 senior-level courses are offered within the program. Students may that high-quality products and services are achieved with the optimal use of also select courses in mathematics, other engineering areas and biology to resources. meet requirements.

Total Undergraduate Enrollments Total Graduate Enrollments Fall 2009-2010 500 Fall 2009-2010 799 Computer Science 800 413 400 Industrial Engineering 700 Computer Science 600 Computer Systems Engineering 300 500 Industrial Engineering 400 200 300 113 200 115 126 100 100 8 12 15 26 1 0 0 FEMALE MALE NATIVE AFRICAN HISPANIC FEMALE MALE NATIVE AFRICAN HISPANIC AMERICAN AMERICAN AMERICAN AMERICAN

36 Master’s Degrees Certificate Programs The Master of Science (M.S.) in Computer Science is a research-oriented Technology Entrepreneurship is a 15-credit-hour technology entrepreneurship degree targeted at students with an undergraduate education in the science certificate program limited to students in the Ira A. Fulton Schools of Engineering of computation. It provides advanced course work and emphasizes student and is designed to help technically oriented students analyze, launch and operate an entrepreneurial venture. Courses are approached from the perspective of the student research as well as offering numerous opportunities for interdisciplinary whose primary interest is in technological innovation, whose primary concentration study. Within this degree, a concentration in Arts, Media and Engineering is on engineering, and who has little or no prior business education. (AME) is offered in collaboration with faculty in the Department of Electrical Engineering and the Herberger College of the Arts. M.S. students Computer Gaming Certificate is an 18-credit hour certificate is open to any can also pursue concentrations in Information Assurance and Biomedical student at ASU (undergraduate, graduate and non-degree seeking) and is designed to provide a comprehensive game development skill set that the student can apply Informatics. to his or her major. The goal is to apply gaming technology to domain-specific problems. The certificate can also be used as one of the areas of concentration for The Master of Computer Science (M.C.S.) is an advanced degree targeted the Bachelor of Interdisciplinary Studies (B.I.S.) degree. at students with undergraduate education in computer-related disciplines who can benefit from further breadth and background. The M.C.S. also provides Informatics Certificate is defined as the study of the ways in which computer an opportunity for students employed in industry to seek advanced education technology can be used to gather, synthesize, store, visualize and interpret information. This certificate is available to students in non computing majors and in computer science. Students will complete a project portfolio. M.C.S. will provide them with an understanding of the capabilities and technologies of students can pursue a concentration in Information Assurance. informatics. The certificate can also be used as one of the areas of concentration for the B.I.S. degree. The graduate-level course work emphasizes research topics of current interest, such as embedded systems; information assurance and computer Total Degrees Awarded security; multimedia and the arts; database systems; algorithm design AY 2009-2010 and analysis; bioinformatics; sensor and ad-hoc networks; data mining; Computer Science information integration; optical networks; and computer aided-geometric design. The Consortium for Embedded Systems, a partnership of ASU, Intel 112.5 Computer Systems Engineering and Freescale, supports work that applies academic research to industrial 90 problems in embedded systems and networks. 81 Industrial Engineering The Master of Science in Industrial Engineering (M.S.) is designed for 75.0 58 students interested in pursuing original research. The 30 credit hour program requires four core courses, three area courses, one elective and a 6-hour 48 thesis with an oral defense. Students complete four core courses to expose 37.5 34 them to fundamental IE topics, including a course in Information Systems, 18 Simulation, Industrial Statistics and Operations Research. 5 The Master of Science in Engineering in Industrial Engineering (M.S.E.) 0.0 is a 30-credit-hour program that requires four core courses, four area courses, Bachelors Masters Doctoral two electives and a written comprehensive examination instead of a thesis. 37 DOCTORAL DEGREES SPRING 2009 - SPRING 2010

Nitin Agarwal, “Social Computing in Wei Chen, “Applications Using Sibson’s The Doctor of Philosophy degree in Computer Science (Ph.D.) prepares the Blogosphere,” H. Liu, Chair. Interpolant,” G. Farin, D. Hansford, students to undertake fundamental and applied research in computer science Placement: U of Arkansas, L.Rock Co-Chairs. Placement: Scottsdale Medical Imaging Comapny (SMI) in academia, government and industry. Having matured as a discipline in its own right, computer science is now developing deep interactions with other fields, not just in engineering and science, but throughout the arts and Syed Ahmed, “Information Extraction Ming Cui, “Methods for Hyperspectral humanities, education, law, medicine and business. While computers have to Enable Faceted Search Over Large Image Visualization & Analysis,” P. become essential tools in these areas, the depth of interaction of fundamental Text Document Collections,” H. Wonka, Chair. computer science with each is rapidly evolving. Davulcu, Chair. Placement: Vanderbilt Placement: Google University Medical Center A wealth of experience for computer science doctoral students is available though collaborations with other engineering Schools in the Ira A. Fulton Stina Anderson, “Supervised Modeling, Guofeng Deng, “Receiver-Cost Schools of Engineering, the Herberger Institute for Design and the Arts, Feature Extraction, & Monitoring for Cognizant Maximal Lifetime Routing Multiple, High-Dimensional Profiles,” in Embedded Networks: Model and the Consortium for Embedded Systems, and the Translational Genomics G. Runger, Chair. Placement: Solutions,” S. Gupta, Chair. Placement: Research Institute (TGen). The interdisciplinary strength of the Ph.D. degree Norvo Nordisk Harbin Institue of Technolgy is enhanced by a concentration in Arts, Media and Engineering (AME), as well as a concentration in Information Assurance. Ozgur Araz, “Modeling & Simulation Toni Farley, “Network Reliability and The Doctor of Philosophy in Industrial Engineering (Ph.D.) offers for Pandemic Influenza & Bioterrorism Resilence,” C. Colbourn, Chair. students a program focused on industrial statistics and quality engineering, Preparedness,” J. Fowler, T. Lant, Co- Placement: Arizona State University applied operations research, production and supply-chain logistics and Chairs. Placement: U. of Texas, Austin enterprise information systems in challenging manufacturing and service environments. The industrial engineering program is ranked in the top 20 Min Hyeok Bae, “Automated Andrew Feller, “E-Business nationally by U.S. News & World Report and is among the top programs Segmentation Methods For Mouse Brain Transaction Infrastructure Analysis in the western U.S. Our faculty are internationally recognized for their Images,” R. Pan, T.Wu, Co-Chairs. Using Petri-Nets & Simulation,” D. research, conducting many funded, state-of-the-art research projects for Placement: Samsung Shunk, T. Wu, Co-Chairs. Placement: both government and industry. They are not only involved in leading-edge American Express research from both methodological and applications perspectives, but James Broyles, “Markovian they also actively advise students, are excellent teachers and continuously John Femiani, “Document Triage Models of Patient Throughput in Using Handwriting and Machine Print improve the curriculum. Hospitals: A Regression and Decision Segmentation,” A. Razdan, Chair. Process Approach,” D. Cochran, D. Placement: Arizona State University Montgomery, Co-Chairs. Placement: RAND Corp.

38 Pavel Gosh, “Mapping & Islanding Kristis Makris, “Whole Program Tridib Mukherjee, “Energy-Efficient Yan Qui, “System Support for Conflict Problems in Small Scale On-Chip Dynamic Software Updating,” R. Proactive Techniques for Safe & Resolution in Integrating Metadata,” K. Networks & Large Scale Power Grid Bazzi, Chair. Placement: LoomCM Survivable Cyber-Physical Systems,” S. S. Candan, Chair. Placement: Teradata Networks,” A. Sen, Chair. Gupta, Chair. Placement: SCIDSE Placement: SCIDSE

Amir Khwaja, “REALSPEC: An Gary Mayer, “Composing Hybrid Sudheendra Murthy, “Efficient Stjepan, Rajko, “Probablistic Executable Real-Time Specification Discrete Event System & Cellular Resource Allocation Techniques for Graphical Models for Pattern Language,” J. Collofello, J. Urban, Co- Automata Models,” H. Sarjoughian, Improved Capacity in Optical and Recognition & Optical Motion Capture Chairs. Placement: Intel Corp Chair. Placement: Southern Illinois Wireless Networks,” A. Sen, Chair. Tracking,” H. Sundaram & G. Qian, University Placement: ASU Co-Chairs.

Joong Wook Kim, “Segment, Enrich, Satyajayant Misra, “SAS: Security, Luis Ng Tari, “A Framework for the Gerardo Trevino Garza, “A Heuristic Annotate, & Link (SEAL) Paradigm for Anonymity, and Survivability Intergration of Information Retrieval & Approach For General 0-1 Integer Context-Aware Access to Complex & in wireless Sensor & Ad Hock Parse Tree Database with Applications Programming Problems” A. Keha, Structured Data,” K. Candan, Chair. Neworks,” G. Xue, Chair. Placement: in the Genomics Domain,” C. Baral, Chair. Placement: Monterrey Tech, Placement: Technicolor Research Labs New Mexico State University Chair. Placement: Hoffman - La Roche Mexico

Wenfeng Li, “Free Viewpoint Video Eric Monroe, “Optimal Experimental Melih Onus, “Overlay Network Krishna Venkatasubramanian, with Image-Based Rendering,” B. Li, Designs For Accelerated Life Tests Construction in Highly Decentralized “Security Solutions for Cyber-Physical Chair. Placement: Google With Censoring And Constraints,” Networks,” A. Richa, Chair. Placement: Systems” S. Gupta, Chair. Placement: D. Montgomery, R. Pan, Co-Chairs. TOBB ETU, Turkey U of Pennsylvania Placement: Intel

Nuttha Lurponglukana, “Conditional Sai T. Moturu, “Quantifying the Pushpak Karnick, “Methods for Zheng Zhao, “Special Feature Forests & Other Ensembles for Discrete Trustworthiness of User-Generated Visualization & Analysis of Geo-Spatial Selection for Mining Ultrahigh Data w/ Application to Health Effects Social Media Content,” H. Liu, Data,” P. Wonka, A. Razdan, Co-Chairs. Dimensional Data,” H. Liu, J. Ye, Co- of Air Pollution,” G. Runger, Chair. Chair. Placement: Media Lab, MIT Placement: DigiPen Inst of Technology Chairs. Placement: SAS Placement: Data Analysis

39 DIRECTORY

Computer Science AND Engineering

Industrial Engineering

Emeritus Faculty

Staff

40 COMPUTER SCIENCE AND ENGINEERING

Gail-Joon Ahn, Associate Professor Rida Bazzi, Associate Professor Ph.D. Information Technology, George Mason University, 2000 Ph.D. Computer Science, Georgia Institute of Technology, 1994 Email: [email protected] Email: [email protected] Research interests: Vulnerability and risk management, authentication and access Research Interests: Computer security, reliability, fault tolerance, distributed control, security architecture for distributed systems, identity management, policy computing analysis and enforcement, formal models for computer security, and cyber crime Honors & Awards: NSF CAREER award 2000 analysis Key Activities: Co-chair HotSwup 2011, General chair PODC 2008, Steering Honors & Awards: DoE CAREER award (2003), Educator of the Year award committee PODC 2008, 2007, Committee member ICDCN 2011, SSS 2010, ICDCS (Federal Information Systems Security Educators’ Association, 2005) 2008, PODC 2010, 2009, 2005, 2000, DISC 2001 Key Activities: Tutorial Chair for ACM CCS ‘10; Guest Ed. ACM Trans. on Info & Systems Security (TISSEC, 2007) Information Dir. ACM SIGSAC; Steering Comm. Chair, ACM SACMAT; PC Co-chair for WWW ’09 Security and Privacy Track

Ashish Amresh, Lecturer Kevin Burger, Lecturer M.S. Computer Science, Arizona State University, 2007 M.S. Computer Science, University of Kansas, 1988 Email: [email protected] Email: [email protected] website: http://www.public.asu.edu/~kburger2 Research Interests: Computer aided geometric design (CAGD), real-time Research Interests: Embedded systems, introductory programming, data structures rendering, visualization and video game programming and algorithms, computer architecture and organization, web development

Janaka Balsooriya, Lecturer Winslow Burleson, Assistant Professor Ph.D. Computer Science, Georgia State University, 2006 Ph.D. Media Arts and Sciences, MIT, 2006 Email: [email protected] website: http://www.public.asu.edu/~jbalasoo/ Email: [email protected] Research Interests: Distributed, internet and grid computing, web service Research Interests: Human-computer interaction applied to creativity and innova- coordination primitives and system architectures, biological data integration and tion, design engineering, scientific exploration, gaming and educational technology. interoperability, middleware and embedded software Honors & Awards: AI in Education 2009 Overall Best Paper Award, AI in Education 2009 Overall Best Demo Award, NSF Affective Learning Compan- ions (2007), NSF Game As Life - Life As Game (2007), JPL SURP (2007), Key Activities: 2005-2007 Invited participant and member of the program committee for the NAS US-Chinese Frontiers of Science Symposium

Chitta Baral, Professor Debra Calliss, Lecturer Ph.D. Computer Science, University of Maryland, 1991 Ph.D. Computer Science, Arizona State University, 1991 Email: [email protected] website: http://www.public.asu.edu/~cbaral/ Email: [email protected] Research Interests: Knowledge representation, temporal logics, logic programming, Research Interests: Computer science in education, programming languages, dynamic systems, text extraction, question answering, natural language semantics, software maintenance bioinformatics Honors & Awards: NSF Career Award 1995 Key Activities: Associate Editor of Journal of AI Research, Area Editor of ACM Transactions on Computational Logic, Editorial Board Member of Journal of Theory and Practice of Logic Programming

41 COMPUTER SCIENCE AND ENGINEERING

K. Selcuk Candan, Professor Charles Colbourn, Professor Ph.D. University of Maryland 1997 Ph.D. Computer Science, University of Toronto, 1980 Email: [email protected] Website: http://www.public.asu.edu/~candan/ Email: [email protected] website: http://www.public.asu.edu/~ccolbou Research Interests: Database systems, storage/querying/retrieval of multimedia and Research Interests: Combinatorial design theory and its applications in web data, heterogeneous information integration and retrieval, assistive technologies communications and networking for information and data access, data clouds, ambient media systems Honors & Awards: The Euler Medal for Lifetime Achievement in Research (2003). Key Activities: Associate Editor, VLDB, Associate Editor, Journal of Multimedia, Keynote/invited speaker at numerous conferences internationally; Publicity Chair-ACM SIGMOD 2006, PC Co-chair- ACM Multimedia 2008, Key Activities: Editor-in-chief of the Journal of Combinatorial Designs, Program Group Leader, ACM SIGMOD Conference 2010, Review Board member, Editorial boards of Designs Codes and Cryptography; Journal of Combinatorial the Proceedings of the VLDB Endowment (Journal track) 2008 - 2010, Program Theory Series A; Discrete Mathematics Co-Chair, Workshop on Information and Software as a Service (WISS) 2009 - 2010, PC Co-chair-ACM Int. Conference on Image & Video Retrieval (CIVR) 2010

Karamvir Chatha, Associate Professor James Collofello, Associate Dean Ph.D. Computer Science & Engineering, University of Cincinnati, 2001 Ph.D. Computer Science, Northwestern University, 1978 E-mail: [email protected] Website: http://www.eas.asu.edu/~kchatha/ Email: [email protected] Research Interests: Computer-aided design (CAD) for embedded and VLSI Research Interests: Software engineering, software project management, software systems, system-on-chip (SoC) design, network-on-chip design, hardware quality assurance software co-design, reconfigurable and adaptive computing Honors & Awards: NSF CAREER Award 2006; IEEE/ACM William J. McCalla Best Paper Award, International Conference on Computer-Aided Design (ICCAD), 2007 Key Activities: Finance Chair, IEEE/ACM Symposium on Networks-on-Chip (NOCS) 2009, 2007; Member of Technical Program Committee of DAC (2008, 2007), ASPDAC (2009, 2008), CODES+ISSS (2008, 2007, 2006), NOCS (2009)

Yi Chen, Assistant Professor Partha Dasgupta, Associate Professor Ph.D. Computer Science, University of Pennsylvania, 2005 Ph.D. Computer Science, SUNY Stony Brook, 1984 Email: [email protected] Website: http://www.public.asu.edu/~ychen127 Email: [email protected] Website: http://cactus.eas.asu.edu/Partha/ Research Interests: Data management in web and scientific applications, data Research Interests: Computer security, operating systems, distributed and parallel modeling, storage and query optimization, data streams, information integration systems Honors & Awards: NSF Career Award, 2009, Honors & Awards: Best Paper Awards PDCS ‘05, ICDCS’95 Key Activities: Publicity and Proceedings Chair for PODS 2009, Program Key Activities: Program Vice Chair, ICDCS’03, CNIS’07 Committee member for ICDE 2009, APWeb-WAIM 2009, AAAI 2008, CIKM 2008, VLDB 2008

Yinong Chen, Lecturer Hasan Davulcu, Associate Professor Ph.D. Computer Science, University of Karlsruhe, Germany, 1993 Ph.D. Computer Science, SUNY Stony Brook, 2002 Email: [email protected] Website: http://www.public.asu.edu/~ychen10 Email: [email protected] Website: http://cactus.eas.asu.du/~hdavulcu Research Interests: Service-oriented computing, embedded systems, fault-tolerant Research Interests: Data mining, web and text mining, data cleaning and computing, distributed computing information extraction, workflows and semantic web services, database systems Honors & Awards: Teacher of the Year Award, (SCI), 2007-2008, 2008-2009. Honors & Awards: NSF Career Award, 2007 Key Activities: Summer Robotics Camp 2008, 2009,2010 Key Activities: PC member, National Conference on Artificial Intelligence (AAAI 2007), PC Member, International Conference on Data Engineering (ICDE 2007) Co-chair, Workshop on Information Integration on the Web; PC member, National Conference on Artificial Intelligence (AAAI 2004)

42 COMPUTER SCIENCE AND ENGINEERING

Georgios Fainekos, Assistant Professor Sandeep Gupta, Professor Ph.D. Computer Science, University of Pennsylvania, 2008 Ph.D. Computer Science, Ohio State University, 1995 Email: [email protected] Website: http://www.public.asu.edu/~gfaineko Email: [email protected] Website: http://impact.asu.edu Research Interests: Cyber-Physical Systems: Hybrid Dynamical Systems, Real Time Research Interests: Wireless networks, Mobile and ubiquitous/pervasive computing, and Embedded Systems; Formal Methods w/ applications to Automation & Control: Embedded sensor networks for biomedical applications, Parallel and System Testing and Verification, Formal languages and Logic; Motion Planning in Distributed computing Robotics; Unmanned Aerial Vehicles (UAV) Honors and Awards: Best Paper Award in 4th Int’l Conf. on Intelligent Sensing Honors & Awards: 2008 Frank Anger Memorial ACM SIGBED/SIGSOFT Student and Information Processing, 2006, Best Researcher Award, Senior Faculty, Award; Finalist for Best Student Paper at 2007 International Conference on Robotics (SCIDSE) 2009 and Automation Key Activities: TPC chair for Third Int’l Conf. on Body Area Networks (BodyNets Key Activities: Guest Editor of ACM Transactions on Embedded Computing Systems 2008,) Editorial Board Member of IEEE Communication Letters, TPC Co-chair of Special issue: Numerical Software Verification of Cyber-Physical Software Systems; GreenCom 2007

Toni Farley, Lecturer Dijiang Huang, Assistant Professor Ph.D. Computer Science, Arizona State University, 2009 Ph.D. Computer Science, University of Missouri, 2004 Email: [email protected] Website: http://www.public.asu.edu/~tfarley Email: [email protected] Website: http://dj.eas.asu.edu/dhuang/index.html Research Interests: Graphs, networks, algorithms, network security, computer Research Interests: Network security, privacy prevention techniques, key science theory, discrete math management, secure ad hoc network routing, trust management for VANETs Honors and Awards: ONR Young Investigator Award 2010 Key Activities: PC Co-chair for Information Security Symposium (ICC) 2010, Publication Chair for HPSR 2008, Finance Chair for ISADS 2007, FTDCS, 2007,2008

Gerald Farin, Professor and Graduate Program Chair Subbarao Kambhampati, Professor Ph.D. Mathematics, University of Braunschweig, 1980 Ph.D. Computer Science, University of Maryland 1989 Email: [email protected] Website: http://www.farinhansford.com/gerald Email: [email protected] Website: http://rakaposhi.eas.asu.edu/rao.html Research Interests: 3D modeling, curver and surface design, scientific visualization. Research Interests: Artificial intelligence, Automated planning, Machine learning, Honors & Awards: Dagstuhl Award for achievements in geometric modeling Data and information integration Key Activities: Co-director, PRISM, 2004-present, Internal Scientific Advisory Honors and Awards: NSF Research Initiation (1992), NSF Young Investigator Board, Arizona Alzheimer Research Center, 1996-present, Computer Systems (1994); College of Engineering Teaching Excellence award (2002), Fellow of Engineering Outstanding Teaching Award, 1999 Editor-in-chief, Computer-Aided AAAI (Association of Advancement of Artificial Intelligence) (2004), IBM Geometric Design (Elsevier), Editorial board, The Visual Computer (Springer) Faculty Award (2004), Google Research Award (2008) Key Activities: Program Co-chair, AAAI 2005; Advisory board member, Journal of AI Research; Executive Council of Intl. Conf. on Automated Planning & Scheduling Xeurong Feng, Lecturer Seungchan Kim, Assistant Professor Ph.D. Computer Science, University of Texas (Dallas), 2005 Ph.D. Electrical Engineering, Texas A&M University, 2001 Email: [email protected] Website: http://www.public.asu.edu/~xfeng13 Email: [email protected] Website: http://sysbio.fulton.asu.edu Research Interests: Algorithm design and analysis, including network algorithms, Research Interests: Computational systems biology, Bioinformatics, Genomic signal Bioinformatics algorithms and parallel algorithms processing, Modeling genetic regulatory networks, Identification of genetic or molecular markers for cancer classification, Statistical machine learning Honors and Awards: Best Paper Award, International Conference on Bioinformatics & Biomedicine, 2009, AACR-AstraZeneca Scholarship-in-Training Award, 2002 Key Activities: Associate Editor of EURASIP Journal of Bioinformatics and Systems Biology, Guest Editor of Current Genomics Special Issue on Genomic Signal Processing, Program Committee of GENSIPS (2001-2008)

43 COMPUTER SCIENCE AND ENGINEERING

Goran Konjevod, Assistant Professor Baoxin Li, Associate Professor (effective 8/10) Ph.D. Algorithms Combinatorics and Optimization, Carnegie Mellon Univ, 2000 Ph.D. Electrical Engineering, University of Maryland, 2000 Email: [email protected] Website: http://thrackle.eas.asu.edu/users/goran Email: [email protected] Research Interests: Approximation algorithms, finite metric spaces, distributed Research Interests: Computer vision &pattern recognition, image/video processing, algorithms, polyhedral combinatorics, Computer Aided Design, Ramsey theory statistical methods in visual computing Honors and Awards: First place, Exhibition of Mathematical Art, American Honors and Awards: NSF Career Award, 2009 Mathematical Society, 2009 Key Activities: PC Member: CVPR 2008, ACM-MM 2008 (Content Track), ISS 2009, ICME 2007. TPC Chair: VPQM 2006 and 2007. Organizing Committee & Finance Chair: CIVR 2006, ICIP 2008. Editorial Board & Area Editor, Signal Processing: Image Communications

Patrick Langley, Professor Huan Liu, Professor Ph.D. Cognitive Psychology, Carnegie Mellon University, 1980 Ph.D. Computer Science, Univ of Southern California, 1989 Email: [email protected] Email: [email protected] Website: http://www.public.asu.edu/~huanliu Research Interests: Cognitive architectures for intelligent agents, Computational Research Interests: Social computing, data/web mining, machine learning, feature scientific discovery, Interactive assistants for complex cognition, Computational selection, text classification models of human behavior, Computational biology and ecology Honors and Awards: Most Influential Paper Award, PAKDD, 2010 Honors and Awards: Fellow of AAAI, Fellow of the Cognitive Science Society Key Activities: PC co-chair for SIAM Data Mining 2009, Conference, Co-chair Key Activities: Founding Executive Editor of Machine Learning, Founding for PAKDD 2008, founding co-organizer of workshop series of Social Computing Board Member, International Machine Learning Society, Program, Co-chair of (SBP’08 and SBP’09), Editorial Board and Advisory Board member for handbook Integrated Intelligence track for AAAI-07 and AAAI-08, Editorial board member and journals of Machine Learning, Editorial board member of Data Mining & Knowledge Discovery Joohyung Lee, Assistant Professor Donald Miller, Associate Professor Ph.D. Computer Science, University of Texas at Austin, 2005 Ph.D. Electrical Engineering, Univ of Southern California, 1972 Email: [email protected] website: http://peace.eas.asu.edu/joolee Email: [email protected] Research Interests: Knowledge representation and reasoning, computational logic, Research Interests: Operating Systems, Computer Architecture, Computer logic programming, logics in security, computational semantics of natural language Networks, Virtual Machine Implementation, Embedded Operating System and Honors and Awards: AAAI 2004 Outstanding Paper Honorable Mention Award Network Software. Single Address Space Operating Systems Key Activities: Co-chair of ASPOCP 2008, 2009. PC Member: AAAI 2010, KR 2010, JELIA 2010, NMR 2010, Nonmon@30, IJCAI 2009, LPNMR 2009, Commonsense 2009, AAAI 2008, NMR 2008.

Yann-Hang Lee, Professor and CSE Undergraduate Program Chair Mutsumi Nakamura, Senior Lecturer Ph.D. Computer, Information and Control Engineering, Univ of Michigan, 1985 Ph.D. Computer Science/Math Sciences, Univ of Texas, 2001 Email: [email protected] website: http://rts-lab.eas.asu.edu Email: [email protected] Website: http://www.public.asu.edu/~mutsumi Research Interests: Real-time computing, embedded system and software, Fault- Research Interests: Active database systems, Web-based database systems tolerant computing, distributed computing, and service-oriented computing Honors and Awards: Best Teacher, Ira A. Fulton Schools of Engineering, 2009, Honors and Awards: Best Paper Award ISEQED 2008, Outstanding Paper Award Best CSE Teacher, (SCIDSE) 2009 MIXDES 2001 Key Activities: Keynote - SNPD(07) and CAINE(06), Co-Chair –ICESS(07), Advisory and Publicity Committee – ISORC(06), Steering Committee – SEUS(06), PC – WESE(06, 07, 08), SCC(06), IWEC(06), ESO(06), IWSSPS(06), SOCA(07), ICOIN(07), SEC(07), SAC(06)

44 COMPUTER SCIENCE AND ENGINEERING

Farideh Tadayon-Navabi, Senior Lecturer Jeremy Rowe, Academic Professional M.S. Computer Science, University of Louisiana at Lafayette, 1991 Ed.D. Educational Policy & Admin/Higher Ed, Arizona State University, 1997 Email: [email protected] Website: http://www.public.asu.edu/~navabi Email: [email protected] Research Interests: Computer science education, Programming languages Research Interests: Informatics and Digital Libraries incorporating 3-D data, 3-D handwriting, Enterprise distributed authentication and authorization, Water policy planning, 3-D digital libraries

Gregory Nielson, Professor Hessam Sarjoughian, Associate Professor Ph.D. Mathematics, University of Utah, 1970 Ph.D. Electrical and Computer Engineering, University of Arizona, 1995 Email: [email protected] Email: [email protected] Website: http://www.eas.asu.edu/~hsarjou Research Interests: Scientific Visualization, Geometric Modeling Research Interests: Agent-based modeling, multiformalism modeling, simulation- Honors and Awards: IEEE Meritorious Award, Dagstuhl (John Gregory Memorial) based design, software architecture Research Award, ASU Mentor of Year Award, IEEE Golden Core Member, IEEE Key Activities: Area Editor for SIMULATION: Transactions of The Society for Outstanding Contribution Award Modeling and Simulation (2004-) Key Activities: Director, IEEE Technical Committee on Computer Graphics and Visualization, Editorial Board, Computer-Aided Geometric Design, Editorial Advisory Board & Founding Editor, Trans. on Visualization and Computer Graphics

Sethuraman Panchanathan, Professor Arunabha Sen, Professor (effective 5/10) Ph.D. Electrical Engineering, University of Ottawa, 1989 Ph.D. Computer Science, University of South Carolina, 1987 Email: [email protected] Website: http://asuresearch.asu.edu Email: [email protected] Website: http://www.public.asu.edu/~halla Research Interests: Multimedia computing, Face/Gait recognition, Genomic signal Research Interests: Resource optimization in optical, Wireless and sensor networks, processing, Haptic interfaces Video transmission over mobile ad-hoc networks, Network processors, System/ Honors and Awards: Fellow of IEEE, Fellow of SPIE, Best poster paper awards: Network on chip design, Combinatorial optimization, Algorithm design and analysis Medicine Meets Virtual Reality Conference (2006, 2007, 2008), Governor’s Key Activities: Associate Editor, IEEE Transactions on Mobile Computing, Innovator of the Year in Academia Award (2004) Program Committees of IEEE Infocom, Globecom, ICC, ACM Foundations on Key Activities: Editor-in-chief, IEEE Multimedia; Conference Chair, Third Mobile Computing International Conference on Body Area Networks (BodyNets 2008); Associated Editor, Journal of Visual Communication & Image Representation

Andrea Richa, Associate Professor Aviral Shrivastava, Assistant Professor Ph.D. Computer Science, Carnegie Mellon University, 1998 Ph.D. Computer Science, University of California, Irvine, 2006 Email: [email protected] Website: http://www.public.asu.edu/~aricha Email: aviral.shrivastava@asu website: http://www.public.asu.edu/~ashriva6 Research Interests: Algorithms for distributed wireless and mobile networks, Graph Research Interests: Compilers and micro architectures for embedded systems, algorithms, Randomized algorithms, Approximation algorithms, Combinatorial including techniques for power, performance reliability, temperature and code size optimization, Distributed resource allocation improvement Honors and Awards: NSF CAREER Award 2000 Honors and Awards: Best Paper Candidate at ASPDAC 2008 Key Activities: Plenary Speaker, AdHocNow’07. Publicity Chair, ACM SPAA’08; Key Activities: Program Committee Member of CASES 2007, 2008, LCTES Guest Editor, ACM Baltzer Journal on Mobile Networks and Applications 2008, RTCSA 2007, 2008, DSD 2007, 2008, Referee of Journals, (MONET), Special Issue on Foundations of Mobile computing, 2004, PC Member, TCAD, TVLSI, TECS, TODAES ACM-SIAM SODA, 2008. ACM DIALM-POMC, 2007, 2008

45 COMPUTER SCIENCE AND ENGINEERING

Hari Sundaram, Associate Professor Sarma Vrudhula, Professor Ph.D. Electrical Engineering, Columbia University, 2002 Ph.D. Electrical and Computer Engineering University of Southern California 1985 Email: [email protected] Website: http://www.public.asu.edu/~hsundara Email: [email protected] Website: http://veda.eas.asu.edu Research Interests: Multimedia, Computational models for experiential systems Research interests: CAD for VLSI Circuits, Logic synthesis and verification, Low Honors and Awards: IBM Faculty Award (2007, 2008), IBM UIMA Innovations power design, Power,Energy and thermal management in processors performance, Award (2006), Best Student Paper Award (Joint Conf. on Digital Libraries 2007), Power and yield optimization of VLSI circuits, Novel logic structures and Best Paper Finalist (ACM Multimedia 2007) applications to Biology Key Activities: Associate Editor: ACM Trans. on Computing, Communications Honors & Awards: Best Researcher, Senior Faculty (SCIDSE) 2009 and Applications, IEEE Signal Processing Magazine, ACM SIG Multimedia web Key Activities: Director, Consortium for Embedded Systems editorial board (2004-07). Guest Editor: Special Issue on Communities and Media Computing, IEEE Trans. on Multimedia

Violet Syrotiuk, Associate Professor Peter Wonka, Associate Professor (effective 8/10) Ph.D. Computer Science, University of Waterloo (Canada,) 1992 Ph.D. Computer Science, Vienna University of Technology, 2001 Email: [email protected] Website: http://www.public.asu.edu/~syrotiuk Email: [email protected] Website: http://www.public.asu.edu/~pwonka Research Interests: Cross-layer design and optimization in changing network Research Interests: Computer Graphics, Visualization, Information Visualization, conditions, modelling and monitoring, medium access control protocols, multi- Procedural Modeling, Visibility, Real-time Rendering, Urban Environments hop wireless networks including MANETs, WSNs, WMNs, and cognitive radio Honors and Awards: NSF CAREER award 2006, Günther Enderle Award for the networks best paper at Eurographics 2001 Key Activities: Associate Editor, Computer Networks. Associate Editor, International Journal of Communication Systems, TPC Co-chair ACM MSWiM’08 (11th ACM/IEEE International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems)

Wei-Tek Tsai, Professor Guoliang Xue, Professor Ph.D. Computer Science, University of California, Berkeley, 1985 Ph.D. Computer Science, University of Minnesota, 1991 Email: [email protected] Email: [email protected] Website: http://optimization.asu.edu/~xue Research Interests: Software engineering, Internet, Parallel & distributed processing Research Interests: Network science; QoS provisioning; Cross-layer design of Honors and Awards: Best Paper Award, Int’l Conf. on System Sciences, 1988, IEEE wireless networks; Privacy, anonymity and survivability Meritorious Service Award 1992 Honors and Awards: Paper Award, IEEE Globecom’2007; Distinguished Invited Key Activities: Associate Editor, IEEE Trans. on Knowledge and Data Engineering, Speaker at IEEE ICCCN’2008 2002- 06, Service-Oriented Computing and Applications, 2006-present, Program Key Activities: TPC co-Chair of IEEE INFOCOM’2010; TPC co-Chair of IEEE co-chair, ISADS 2007 and IEEE Int’l Conf. on E-Commerce Technology and ICC’2009 Symposium on Adhoc and Sensor Networks; Associate Editor of IEEE Enterprise Computing, ECommerce and E-Services, 2008 Transactions on Wireless Communications; Associate Editor of IEEE Network Magazine; Area Editor of Computer Networks

Kurt Van Lehn, Professor Sik-Sang (Stephen) Yau, Professor Ph.D. Computer Science, MIT, 1983 Ph.D. Electrical Engineering, University of Illinois, 1961 Email: [email protected] Website: http://www.public.asu/~kvanlehn Email: [email protected] Website: http://dpse.asu.edu/yau Research Interests: Applications of AI to Education (Intelligent Tutoring Systems; Research Interests: Trust management and security, software engineering, Teachable agents; Tutorial NL dialogue systems); Human Learning (Student distributed systems, service based systems, ubiquitous/pervasive computing Modeling; Cognitive Modeling); Cognitive Science Honors and Awards: Information Resource Center (IRC) awarded recognition Honors and Awards: Fellow of the Cognitive Science Society, Fellow of the Center as National Center of Academic Excellence, NSA; Overseas Outstanding for Advanced Study in the Behavioral Sciences, 9 best paper awards Contributions Award of the Chinese Computer Federation (2006), Tsutomu Kanai Key Activities: Former senior editor, Cognitive Science, Editorial boards of AI in Award of IEEE Computer Society (2002), Fellows of IEEE and AAAS Education, Cognition and Instruction, Machine Learning, Journal of the Leanring Key Activities: Keynote speaker, 2008 IEEE Intl Conf. on Services Computing; Sciences; Senior PC member for ITS, AI&Ed, Cognitive Science Conference Editorial Board member of IEEE Trans. on Service Computing

46 COMPUTER SCIENCE AND ENGINEERING

Jieping Ye, Associate Professor (effective 5/10) Ph.D. Computer Science, University of Minnesota, 1997 Email: [email protected] Website: http://www.public.asu.edu/~jye02 Research Interests: Machine Learning, Data Mining, Bioinformatics Honors and Awards: NSF Career Award, 2009, Best Researcher Award, Junior Faculty, (SCIDSE) 2009 Key Activities: Program Committee member of KDD-08, ICML-08, CVPR-08, ECCV-08, ICDM-08, SDM-08

CSE Research and Affiliated Graduate Faculty Jianming Liang, Associate Professor Biomedical Informatics, Arizona State University Amiya Bhattacharya, Assistant Research Professor Deirdre Meldrum Dean & Professor School of Computing, Informatics, & Decision Systems Engineering School of Electrical, Computer, & Energy Engineering John Black, Faculty Associate Hans Mittelman, Professor School of Computing, Informatics, & Decision Systems Engineering School of Mathematical & Statistical Sciences Ellen Campana, Assistant Professor Anshuman Razdan, Affiliate Faculty School of Arts, Media, and Engineering College of Technology & Innovation Nancy Cooke, Professor Martin Reisslein, Associate Professor Biomedical Informatics Department of Electrical Engineering Suzanne Dietrich, Associate Professor Rosemary Renaut, Professor Division of Mathematical and Natural Sciences School of Math and Statistical Sciences Gary Kevin, Assistant Professor Maria Sapino, Associate Professor College of Technology & Innovation University of Torino, Italy Marcus Janssen, Associate Professor Srikanth Saripalli, Assistant Professor School of Human Evolution & Social Change School of Earth & Space Exploration Sudhir Kumar, Director and Professor Feng Wang, Assistant Professor Evolutionary Medicine and Informatics (EMI) Mathematical & Natural Sciences Zoe Lacroix, Associate Research Professor Guoliang Zeng, Associate Professor School of Electrical, Computer, & Energy Engineering College of Technology & Innovation

47 INDUSTRIAL ENGINEERING

Mari Anderson Rowland, Associate Professor Esma Gel, Associate Professor Ph.D. Mathematics, University of Iowa, 1966 Ph.D. Industrial Engineering, Northwestern University, 1999 Email: [email protected] Email: [email protected] Research Interests: statistics and probability for quality control, academic Research interests: Applied probability, stochastic processes, queuing theory, scholarship programs for all engineering students with an emphasis on women and stochastic modeling and control of manufacturing systems underrepresented minority students Key Activities: Associate Editor, Journal of Flexible Services and Manufacturing Honors and Awards: Best Teacher Award (Top 5%) 2009, WEPAN Educator’s Award, 2009; ASEE Minorities in Engineering Award, 2006; SHPE National Educator of the Year Award, 2005 Key Activities: : SWE National Board, Special Appointee, 2009; WEPAN Proceedings Chair, 2007; ASEE PIC IV Chair, 2006-2008; ASEE Women in Engineering Division Chair, 2005

Ronald Askin, Director and Professor Jing Li, Assistant Professor Ph.D. Systems & Industrial Engineering, Georgia Institute of Technology, 1979 Ph.D. Industrial & Operations Engineering, University of Michigan, 2006 Email: [email protected] Email: [email protected] Website: http://www.public.asu.edu/~jli09/ Research Interests: Logistics; Manufacturing Systems Analysis; Production Research Interests: Applied Statistics, process control, data mining, causal Planning and Scheduling; Operations Research; Applied Statistics modeling and inference Honors & Awards: IIE Transactions on Design and Manufacturing Best Paper Honors and Awards: Best Paper Award in Quality & Reliability, 2008 Award (1998, 2000), IIE Joint Publishers Book-of-the-Year Award (1994, 2003) Key Activities: Member-Institute for Operations Research and the Management Shingo Prize for Excellence in Manufacturing Research (1994) Eugene L. Grant Sciences (INFORMS); Member- Institute of Industrial Engineers (IIE) Award (1986); NSF Presidential Young Investigator Award (1984); IIE Fellow Key Activities: Editorial Board, Int. Journal of Industrial & Systems Engineering; Special Issue Co-editor, Int. Journal of Production Economics, Board of Trustees, Institute of Industrial Engineers; Chair-elect CIEADH

Linda Chattin, Senior Lecturer Pitu Mirchandani, Professor Ph.D. Industrial Engineering, University of New York, 1994 Sc.D. Operations Research, MIT, 1975 Email: [email protected] Email: [email protected] Research Interests: Discrete Optimization, stochastic processes and probabilistic Research Interests: Optimization, decision-making under uncertainty, real-time modeling, emergency service location control and logistics, application interests in urban service systems, transportation, Honors and Awards: A. Alan B. Pritsker Outstanding IE Teacher Award, 2009 and homeland security Honors & Awards: Recipient of “2007 Member of the Year” by the ITS Arizona Society for contributions to ITS in the State of Arizona. Research Interests: Optimization, decision-making under uncertainty, real-time control and logistics, application interests in urban service systems, transportation, and homeland security

John Fowler, Avnet Professor and IE Undergraduate Chair Douglas Montgomery, Regent’s Professor Ph.D. Industrial Engineering, Texas A&M University, 1990 Ph.D. Industrial Engineering, Virginia Polytechnic Institute, 1969 Email: [email protected] Website: http://ie.fulton.asu.edu/research/masm-lab Email: [email protected] Research Interests: Deterministic scheduling, discrete event simulation Research Interests: Statistical design of experiments, optimization and response methodology, semiconductor manufacturing systems analysis, healthcare systems surface methodology, empirical stochastic modeling, and industrial statistics analysis, applied operations research. Honors and Awards: Engineering Lifetime Achievement Award (2009); Greenfield Honors and Awards: Avnet Professorship, 2009 Industrial Medal (2009); Shewhart Medal; Shewell Award; Brumbaugh Award; Key Activities: Editor in Chief, IIE Transactions on Healthcare Systems William G. Hunter Award; Lloyd S. Nelson Award; Fellow of the American Engineering, Area Editor, SCS Transactions on Simulation; Area Editor, Computers Statistical Association, the American Society for Quality Control,the Royal and Industrial Engineering; Associate Editor, IEEE Transactions and Electronics Statistical Society, the Institute of Industrial Engineers, and an Elected Member of Packaging Manufacturing; Associate Editor, Factory Modeling and Control, IEEE the International Statistical Institute Transactaions on Semiconductor Manufacturing Key Activities: Chief Editor, Quality & Reliability Engineering International

48 INDUSTRIAL ENGINEERING

Rong Pan, Associate Professor (effective 5/10) Teresa Wu, Associate Professor Ph.D. Industrial Engineering, Pennsylvania State University, 2002 Ph.D. Industrial Engineering, University of Iowa, 2001 Email: [email protected] Email: [email protected] Website: http://swag.fulton.asu.edu/ Research Interests: Industrial statistics, reliability analysis and time series modeling Research Interests: Information systems, supply chain management, multi-agent Honors and Awards: Air Force Summer Faculty Fellowship, 2009, Stan Ofsthum systems, data mining, Petri nets, Kalman filtering Award by the Society of Reliability Engineers, 2008 Key Activities: Editorial Boards: International Journal of Electronic Business Key Activities: Associate Editor, Journal of Quality and Technology Management; Computer & Standard Interface, Guest Editor- International Journal of Electronic Business Management Special Issue on Enabling Distributed Product Development

George Runger, Professor Nong Ye, Professor Ph.D. Statistics, University of Minnesota, 1982 Ph.D. Industrial Engineering, Purdue University, 1991 Email: [email protected] Email: [email protected] Website: http://enpub.fulton.asu.edu/ye Research Interests: Statistical Learning, process control, data mining for massive, Research Interests: Information and systems assurance, data mining and modeling, multivariate data sets quality optimization and control of system operations Honors and Awards: Best Application Paper Award, IIE Transactions, 2007, Key Activities: Associate Editor- Information, Knowledge, Systems Management, Brumbaugh Award-American Society for Quality , 1994, 2003; Ellis R. Ott Associate Editor- IEEE Transactions on Systems, Man, & Cybernetics, Part Foundation Award, 1990; IBM Outstanding Achievement Award A; Editorial Boards: International Journal of Human-Computer Interaction; Key Activities: Department Editor- Journal of Quality Technology; Associate Information, Knowledge, Systems Management Editor- Journal of Mathematical and Management Sciences

Dan Shunk, Professor Muhong Zang, Assistant Professor Ph.D. Industrial Engineering, Purdue University, 1976 Ph.D. Industrial Engineering & Operations Research, Univ of California, 2006 Email: [email protected] Email: [email protected] Research Interests: Agile, enterprise and CIM systems, group technology, planning Research Interests: Integer programming, robust optimization, computational systems, economics of computer-integrated manufacturing (CIM,) strategy and optimization, network optimization strategic role of technology Key Activities: Member- Institute for Operations Research and the Management Honors and Awards: Best Teacher Award (Top 5%), 2009, Fulbright Award, 2002- Sciences (INFORMS) 2003, SME International Award for Education, 1996, I&MSE Faculty of the Year award, 1991 & 1999, SME Region VII Educator of the Year award, 1989 Key Activities: Editorial Boards: Int. Journal of Flexible Automation & Integrated Manufacturing; Int. Journal of Logistics; Int. Journal of Product Development

J. Rene Villalobos, Associate Professor Ph.D. Industrial Engineering, Texas A&M University, 1991 IE Research and Affiliated Graduate Faculty Email: [email protected] Website: http://eal.asu.edu Hans Armbruster, Professor Mark Henderson, Professor Michele Pfund, Clinical Assoc. Professor Research Interests: Logistics, automated quality systems, manufacturing systems School of Mathematical & Statistical Sci. College of Technology & Innovation W.P. Carey School of Business and applied operations research, International Logistics and Productivity Improvement Laboratory (ILPIL) Jennifer Bekki, Assistant Professor J. Hunter, Emeritus Professor Antonios Printezis, Clinical Asst. Professor Honors and Awards: NSF Career Award, 1995 College of Technology & Innovation Stanford University W.P. Carey School of Business Key Activities: Member- Institute for Operations Research and the Management Science, Member- American Society for Engineering Education, Technical Connie Borror, Associate Professor Karl Kempf, Director, Decision Eng. Chell Roberts, Chair Math & Natural Sciences Division Intel Corporation Advisory Board Member- Int. Journal of Interactive Design and Manufacturing; College of Technology & Innovation Director, Center for Engineering Logistics and Distribution Mohan Gopalakrishnan, Associate Professor Srimathy Mohan, Assistant Professor Yuntao Zhu, Assistant Professor W.P. Carey School of Business W.P. Carey School of Business Math & Natural Sciences Division

49 EMERITUS FACULTY

50 STAFF

51 2009 Faculty Publications Journal Publications

Agnetis, A., Grande, E., Mirchandani, P.B., and Pacifici Alternative Solution Approach,” Journal of the Operational Bridewell, W. & Langley, P. “Two Kinds of Knowledge in A., “Covering a Line Segment with Variable Radius Discs,” Research Society, Vol. 60, No. 4, pp. 554-564, 2009. Scientific Discovery,” Topics in Cognitive Science, 2, 36–52, Computers & Operations Research, Vol. 36, pp. 1423-1436, 2009. May 2009. Anderson-Cook, C.M., Borror, C.M., and Montgomery, Brittner, J., Mattausch, O., Wonka, P., Havran, V., D.C., “Response Surface Design Evaluation and Wimmer, M. “Adaptive Global Visibility Sampling,” ACM Aguirre, F., Villalobos, J.R., Phelan, P.E., Pacheco, J.R., Comparison,” (with discussion), Journal of Statistical Transactions on Graphics, Vol. 28, No. 3, article #94, pp. “Development of Energy-Production Signatures to Assess Planning and Inference, Vol. 139, pp. 629-674, 2009. 1-10, 2009. the Relative Energy Use Efficiency in a Manufacturing Plant,” Energy: The International Journal, In Press, 2009. Askin, R. G., and Krishnan, S. “Defining Inventory Control Brown, J., Colbourn, C.J., and Nowakowski, R.J., Chip Points in Stochastic, Multistage Pull Systems”, Int. Journal Firing and All-Terminal Network Reliability Bounds,” Ahmed, S.T., Candan, K.S., Han, S., and Qi, Y. “Topic of Production Economics, 120, 2009, pp. 418-429. Discrete Optimization 6, pp. 436-445, 2009. Development Pattern Analysis based Adaptation of Information Spaces,” New Review of Hypermedia and Bae, M, Pan, R., Wu, T. and Badea, A., “Automated Bryce, R.C and Colbourn, C.J., “A Density-Based Greedy Multimedia, Volume 15, Issue 1, pp. 73 – 96 April 2009. Segmentation of Mouse Brain Images using Extended Algorithm for Higher Strength Covering Arrays,” Software MRF,” NeuroImage, 46, 717-725, 2009. Testing, Verification, and Reliability, 19, 37-53, 2009. Ahn, G.J., Hu, H. and Jin, J., “Security-enhanced OSGi Service Environments,” IEEE Transactions on Systems, Balasubramanian, H., Fowler, J.W., Keha, A., and Candan, K. S., Donderler, M., Hedgpeth, T., Kim, J-W., Man, and Cybernetics–Part C, Vol. 39 (5), pp. 562-571, Pfund, M.E, “Scheduling Interfering Job Sets on Parallel Li, Q., and Sapino, M.L, “SEA: Segment-Enrich-Annotate September 2009. Machines,” European Journal of Operational Research, Vol. Paradigm for Adapting Digital Content for Improved 199, No. 1, pp. 55-67, 2009. Accessibility,” ACM Transactions on Information Systems, Ahumada, O. and Villalobos, J.R., “Application of Planning Vol. 27, pp. 15:1-15:45, July 2009. Models in the Agri-Food Supply Chain: A review,” The Baral, C., Gelfond, M., Rushton, J.N., “Probabilistic European Journal of Operational Research, 2008, Volume Reasoning with Answer Sets,” Theory and Practice of Logic Chai, Y., Du, Z., Chen, Y., "A Stepwise Optimization 196, Issue 1, 1, pp. 1-20, July 2009. Programing, Vol. 9, No.1, pp. 57-144, 2009. Algorithm of Clustered Streaming Media Servers," Journal of Systems and Software, pp. 1344-1361, 2009. Ahumada, O. and Villalobos, J.R., “Planning the Production Bazzi, R.A., Choi, Y., Gouda, M.G., “Hop chains: Secure and Distribution of Fresh Produce,” Annals of Operations Routing and the Establishment of Distinct Identities,” Chen, J. and Askin, R.G.,“Project Selection and Scheduling Research, In Press, 2009. Theory of Computer Science, Vol. 410, No. 6-7, 467-480, w/ Time Dependent Payoffs”, European Journal of 2009. Operational Research, 193 (1), 2009, pp. 23-24. Ali, S., Ye, J., Razdan, A., Wonka, P., “Compressed Facade Displacement Mapping,” IEEE Transactions on Benton, J., Do, M., Kambhampati, S., “Anytime Heuristic Chen, Y., and Tsai, W.T., “Towards Dependable Service- Visualization and Computer Graphics, Vol. 15, No. 2, pp. Search for Partial Satisfaction Planning,” Artificial Orientated Computing Systems,” Simulation Modelling 262-273, 2009. Intelligence, Vol. 173, No. 5-6, pp. 562-592, 2009. Practice and Theory, Vol. 17, Issue 8, pp. 1361-1366, September 2009. Almimi, A.A., Kulahci, M., and Montgomery, D.C., Bhagvat, D., Jeschke, S., Cline, D., Wonka, P., “GPU “Checking the Adequacy of Fit of Models from Split-Plot Rendering of Relief Mapped Concial Frusta,” Computer Chi, M., Jordan, P. VanLehn, K. & Litman, D., “To Elicit or Designs,” Journal of Quality Technology, Vol. 41, No. 3, pp. Graphics Forum, Vol. 28, No. 8, pp. 2131-2139, 2009. to Tell: Does it matter?” Frontiers in Artificial Intelligence 272-284, 2009. and Applications, Vol. 200, pp. 197-204, 2009. Bobach, T, Farin, G., Hansford, D., Umlauf, G., “Natural Alvarez-Perez, G., Gonzalez-Velarde, J.-L., and Fowler, Neighbor Extrapolation using Ghost Points,” Computer Chi, M., & VanLehn, K., “Meta-cognitive Strategy J.W., “Crossdocking - Just in Time Scheduling: An Aided Design, 41, pp. 350-365, 2009. Instruction in Intelligent Tutoring Systems: How, When,

52 and Why,” Educational Technology and Society, 13, (1), pp. Colbourn, C.J., “Distributing Hash Families and Covering PDES in Grid," Simulation Modelling Practice and Theory, 25-39, 2009. Arrays,” Journal of Combinatorics, Information, and System Vol. 17, Issue 10, pp. 1678-1689, November 2009. Sciences, 34, (2009), 113-126. Chung, P.J., Goldfarb, H.B., Montgomery, D.C., and Fainekos, G.E., Antoine, G., Kress-Gazit, H. and Pappas, Borror, C.M., “Optimal Designs for Mixture-Process Craig, S. D., Chi, M., & VanLehn, K., “Improving George J., “Temporal Logic Motion Planning for Dynamic Experiments Involving Continuous and Categorical Classroom Learning by Collaboratively Observing Human Mobile Robots,” Automatica, Elsevier, Vol. 45, No. 2, pp. Noise Variables,” Quality Technology and Quantitative Tutoring Videos while Problem Solving,” Journal of 343-352, 2009. Management, Vol. 6, No. 4, pp. 451-470, 2009. Educational Psychology, 101(4), 779-789. 2009. Fainekos, G.E., and Pappas, G.J., “Robustness of Temporal Cline, D., Razdan, A., Wonka, P., “A Comparison of Cui, M., Razdan, A., Hu, J., and Wonka, P., “Interactive Logic Specifications for Continuous-Time Signals,” Tabular PDF Inversion Methods,” Computer Graphics Hyper spectral Image Visualization Using Convex Theoretical Computer Science, Elsevier, Vol. 410, No. 42, Forum, Vol. 28, No. 1, pp. 154-160, 2009. Optimization,” IEEE Transactions on Geoscience and pp. 4262-4291, 2009. Remote Sensing, Vol. 47. No. 6, pp. 1673-1684, 2009. Cline, D., Jeschke, S., Razdan, A., White, K., Wonka, P., Farley, T.R. and Colbourn, C.J., “Multiterminal Network “Dart Throwing on Surfaces,” Computer Graphics Forum, Cui, M., Femiani J.C., Hu, J., Wonka, P., Razdan, A., Connectedness on Series-Parallel Networks,” Discrete Vol. 28, No. 4, pp. 1217-1226, 2009. “Pattern Curve Matching for Open 2D,” Curves Recognition Mathematics, Algorithms, and Applications, 1, pp. 253-265, Letters, Vol. 30, No. 1, pp. 1-10, 2009. 2009. Colbourn, C.J. & Ling, A.C.H., “Linear Hash Families and Forbidden Configurations,”Designs, Codes and Deval, S., Ritchie, L., Reisslein, M., and Richa, A.W., Felici, G., Mecoli, M., Mirchandani, P.B., and Pacifici, Cryptography, 59, 25-55, 2009. “Evaluation of Physical Carrier Sense Based Backbone A., “Equilibrium in a Two-Agent Assignment Problem,” Maintenance in Mobile Ad Hoc Networks,” International International Journal of Operational Research, Vol. 6, No. Colbourn, C.J., & Ling, A.C.H., “A Recursive Construction Journal of Vehicular Technology, Vol. 2009, Article ID 1, pp. 4-26, 2009. to Perfect Hash Families”, Journal of Mathematical 958056, 13 pages, 2009. Cryptology 3 (2009), 291-296 Feller, A., Wu, T., Shunk, D. and Fowler, J., “Petri Dewan, P. and Dasgupta, P., “Mitigating Routing Net Translation Patterns for the Analysis of eBusiness Colbourn, C.J. & Fujiwara,Y., “Small Stopping Sets in Vulnerabilities in Ad Hoc Networks Using Reputations,” Collaboration Messaging Protocols,” IEEE Transactions on Steiner Triple Systems,” Cryptography and Communications International Journal of Information and Computer System, Man and Cybernetics Part A.: Systems and Humans, 1, 31-46, 2009. Security, Vol 3 No. 2, 2009. Vol. 39, No. 5, pp.1022-1034, 2009.

Colbourn, C.J., Ge, G., and Ling, A.C.H. “Graph Dewan, P. and Dasgupta, P., “P2P Reputation Feller, A., Wu, T., Shunk, D., Fowler, J., “Supply Designs for the Eight-Edge Five-Vertex graphs,” Discrete Management using Distributed Identities and Decentralized Chain Management Model Translation and Analysis – an Mathematics, 309, 6440-6445, 2009. Recommendation Chains,” IEEE Transactions on Integrated SCM Multi-Paradigm Modeling Framework,” Knowledge and Data Engineering, Feb. 2009. IEEE Transactions on System, Man, Cybernetics Part A., pp. Colbourn, C.J., Ge, G., and Ling, A.C.H., “Optical 1022-1034, 2009. Grooming with Grooming Ratio Eight,” Discrete Applied Du, Y., Gupta, S.K.S., and Varsamopoulos, G., “Improving Mathematics, 157, 2763-2772, 2009. On-Demand Data Access Efficiency in MANETs with Ferraris, P., Lee, J. and Lifschitz, V., “Stable Models and Cooperative Caching,” Elsevier Ad Hoc Journal, 7 (3), 579- Circumscription,” Artificial Intelligence, 2009. Colbourn, C.J. “The Configuration Polytope of $\ell$-Line 598, May 2009. Configurations in Steiner Triple Systems,”Mathematica Ferreira, S., Collofello, J., Shunk, D. and Mackulak, G., Slovaca, 59, 77-108, 2009. Du, Z., Man, W., Cheng, Y., Yin Y., Xudong C., "The “Understanding the Effects of Requirements Volatility in Triangular Pyramid Scheduling Model and Algorithm for Software Engineering by Using Analytical Modeling and

53 Journal Publications- contd. (HCMDSS) and Medical Device Plug and Play (MD PnP) Information Science (63), Springer, pp. 148-155, Dec. 2009. Interoperability, SIGBED Review, Vol. 6, No. 2, July 2009. Jin, J., Ahn, G-J, Hu, H, Covington, M., and Zhang, X., Software Process Simulation,” The Journal of Systems and Harnish, P., Nelson, B.J., and Runger, G.C., "Process “Patient-centric Authorization Framework for Sharing Software, Vol. 82, pp. 1568-1577, 2009. Partitions from Time-Ordered Clusters," J. of Quality Electronic Health Records,” Proc. Of 14th ACM Symposium Technology, Vol. 41, No.1, pp. 3-17, 2009. on Access Control Models And Technologies (SACMAT), Garcia H., Villalobos, R., Pan, R. and Runger, G., Stresa, Italy, June 3-5, 2009. “A Novel Feature Selection Method for the Quadratic Hoskins, D.S., Colbourn, C.J. and Montgomery, D.C., Discriminant Function,” IEEE Transactions on Pattern “D-optimal Designs with Interaction Coverage,” Journal of Johnson, R.T. and Montgomery, D.C., “Choice of Second- Analysis and Machine Intelligence, Vol. 31, Issue 7, Statistical Theory and Practice, Vol. 3, No. 4, pp. 817-830, Order Response Surface Designs for Logistic and Poisson pp.1338 – 1344, July 2009. 2009. Regression Models,” International Journal of Experimental Design and Process Optimization, Vol. 1, No. 1, pp. 2-23, Garcia, H and Villalobos, J.R., “Automated Refinement Huang, D., Sarjoughian, H.S., Wang, Godding, W. G., 2009. of Automated Visual Inspection Algorithms,” IEEE Rivera D., K. Kempf, H. Mittelmann, “Simulation of Transactions on Automation Science and Engineering, Vol. Semiconductor Manufacturing Supply-Chain Systems Johnson, R.T., Parker, P.A., Montgomery, D.C., Cutler, 6, Issue 3, pp. 514-524, July 2009. with DEVS, MPC, and KIB,” IEEE Transactions on A.D., Danehy, P.M., and Rhew, R.D., “Design Strategies for Semiconductor Manufacturing, Vol. 22, No. 1, 165-174, the Response Surface Models for the Study of Supersonic Garcia, H.C., Villalobos, J.R., Runger, G.C. and Pan, 2009. Combustion,” Quality and Reliability Engineering R., “A Novel Feature Selection Method for the Quadratic International, Vol. 25, pp. 365-377, 2009. Discriminant Function,” IEEE Transactions on Pattern Jeschke, S., Cline, D., Wonka, P., “Rendering Surface Analysis and Machine Intelligence, Vol. 31, No. 7, pp. 1338- Details with Diffusion Curves Stefan,” ACM Transactions Karnick, P., Jeschke, S., Cline, D., Razdan, A., Wentz, E., 1344, 2009. on Graphics, Vol. 28, No. 5, pp. 1-8, 2009. Wonka, P., “A Shape Grammar for Developing Glyph- Based Visualizations,” Computer Graphics Forum, Vol. 28, Giorgetti, G., Cidronali, A., Gupta, S.K.S., Manes, G., Jeschke, S., Cline, D., Wonka, P., “A Minimal Surface No. 8, pp. 2176-2188, 2009. “Single Anchor Indoor Localization Using a Switched Beam Poisson Solver for Diffusion Curves and Image Editing,” Antenna,” IEEE Communication Letters, Vol. 13, No. 1, pp. ACM Transactions on Graphics, Vol. 28, No. 5, pp. 1-8. Karnik, P., David C., Jeschke, S., Razdan, A., Wonka, 58 60, Jan. 2009. 2009. P., “Route Visualization using Detail Lenses,” IEEE Transactions on Visualization and Computer Graphics, Goel, A., Vrudhula, S., Taraporevala, F., and Ghanta, P., Ji, S., Tang, L., Yu, S., and Ye, J., “A Shared-Subspace 2009. “Statistical Timing Models for Large Macro Cells and ip Learning Framework for Multi-label Classification,”ACM Blocks Considering Process Variations,” IEEE Transactions Transactions on Knowledge Discovery from Data, 2009. Keha, A., Khowala, K., and Fowler, J., “Mixed Integer on Semiconductor Manufacturing, Vol. 22, No. 1, pp. 3–11, Programming Formulations for Single Machine Scheduling 2009. Jiang, C.-H., Hu, H., Cai, K.-Y., Huang, D., and Yau, S.S., Problems,” Computers and Industrial Engineering, Vol. 56, “An Intelligent Control Architecture for Adaptive Service- No. 1, pp. 357-367, 2009. González-Ramírez, R. G., Askin, R. G., Smith, N. R., and based Software Systems,” International Journal of Software Villalobos, R., “Shipment Consolidation by Terminals and Engineering and Knowledge Engineering, Vol. 19, No. 5, Kierstead, H. A. & Konjevod, G. , “Coloring Number and Vehicles,” Revista de Matemática: Teoría y Aplicaciones, pp. 653-678, 2009. On-line Ramsey Theory for Graphs and Hypergraphs,” Vol. 16, No.1, pp. 178-187, 2009. Combinatorica, Vol. 29, No. 1, pp. 49-64, 2009. Jin, J. and Li, J., “Multiscale Mapping of Aggregated Gowda, T., Vrudhula, S. and Kim, S., “Modeling of Gene Signal Features to Embedded Time-Frequency Localized Konik, T., O’Rorke, P., Shapiro, D., Choi, D., Nejati, Regulatory Network Dynamics Using Threshold Logic,” Operations Using Wavelets,” IIE Transactions, Vol. 41, No. N., & Langley, P., “Skill Transfer Through Goal-Driven Annals of the New York Academy of Sciences, Vol. 1158, No. 7, pp. 615-625. 2009. Representation Mapping,” Cognitive Systems Research, 10, 1, pp. 71-81, 2009. pp. 270–285. Jin, J. and Ahn, G-J, “Authorization Framework for Gupta, S. K. S., “A Tool for Designing High Confidence Resource Sharing in Grid Environments,” Proceedings Kress-Gazit, H., Fainekos, G.E., and Pappas, G.J., Implantable BioSensor Networks for Medical Monitoring,” of International Conference on Grid and Distributed “Temporal Logic-based Reactive Mission and Motion Special Issue on the 2nd Joint Workshop on High Computing (GDC), Communications in Computer and Planning,” IEEE Transactions on Robotics, Vol. 25, No. 6, Confidence Medical Devices, Software, and Systems pp. 1370-1381, 2009. 54 Langley, P., Choi, D., & Rogers, S., “Acquisition of an XML Search Engine,” IEEE Data Eng, Bull, Vol. 32, Networks,'' Computer Communications, Vol. 32, No. 17, pp. Hierarchical Reactive Skills in a Unified Cognitive No. 2, pp. 36-43, 2009. 1810-1819, November 2009. Architecture,” Cognitive Systems Research, 10, pp. 316– 332, 2009. Mayer, G.R., and Sarjoughian, H.S., “Composable Cellular Moturu, S., Johnson, W., and Liu, H., “Predictive Risk Automata,” Simulation Transactions, Vol. 85, No. 11-12, pp. Modeling for Forecasting High-Cost Patients: a Real-World Langley, P., Laird, J. E., & Rogers, S, “Cognitive 735-749, 2009. Application Using Medicaid Data,” International Journal of Architectures: Research Issues and Challenges,” Cognitive Biomedical Engineering and Technology, Special Issue on Systems Research, 10, pp. 141–160, 2009. McClary, D. W., Syrotiuk, V.R., and Kulahci, M., Warehousing and Mining Complex Data: Applications to ``Profile Driven Regression for Modelling and Run-Time Biology, Medicine, Behavior, Health and Environment, Vol. Leary, G., Srinivasan, K., Mehta, K., and Chatha, K.S., Optimization of Mobile Networks,” ACM Transactions on 3, No. 1-2, pp. 114-132, 2009. “Design of Network-on-Chip Architectures with Genetic Modeling and Computer Simulation, 2009. Algorithm Based Technique,” IEEE Transactions on VLSI Mukherjee, T., Gupta, S.K.S., Varsamopoulos, G., “Self Systems, Vol. 17, No. 5, pp. 674-687, 2009. McClary, D. W., Syrotiuk, V. R., and Kulahci, M., Managing Energy Efficient Multicast Support in MANETs ``Steepest-Ascent Constrained Simultaneous Perturbation under End to End Reliability Constraints,” Elsevier Lee, K., Shrivastava, A., Issenin, I., Dutt, N., for Multi-Objective Optimization,'' ACM Transactions on Computer Networks, Vol. 53, No. 10, pp. 1603-1627, July Venkatasubramanian, N., “Partially Protected Caches Modeling and Computer Simulation, 2009. 2009. to Reduce Failures due to Soft Errors in Multimedia Applications,” TVLSI :IEEE Transactions on VLSI, Vol. 17. McNeill, J. E., Fowler, J.W., Mackulak, G.T. and Kulahci, Mukherjee, T., Gupta, S.K.S., Varsamopoulos, G., “Energy No. 9, pp. 1343-1348, Sept. 2009. M., “Simulation Based Cycle-Time Quantile Estimation in Optimization for Proactive Unicast Route Maintenance in Manufacturing Settings Employing Non-FIFO Dispatching MANETs under End to End Reliability Requirements,” Li, J-Q., Liang, L., Borror, C.M., Anderson-Cook, C.M., Policies,” Journal of Simulation, Vol. 3, No. 2, pp. 69-83, Elsevier Performance Evaluation, Special Issue, Vol. 66, and Montgomery, D.C., “Graphical Summaries to Compare 2009. No. 35, pp 141-157, March 2009. Prediction Variance Performance for Variations of the Central Composite Design for 6 to 10 Factors,” Quality Mirchandani, P. B., Gentili, M., and He, Y. "Location Mukherjee, T., Banerjee, A., Varsamopoulos, A., Gupta, Technology and Quantitative Management, Vol. 6, No. 4, pp. of Vehicle Identification Sensors to Monitor Travel-Time S.K.S., and Rungta, S,. “Spatio-Temporal Thermal Aware 433-449, 2009. Performance," IET Intelligent Transportation Systems, Vol. Job Scheduling to Minimize Energy Consumption in 3, No. 3, pp. 289-303, 2009. Virtualized Heterogeneous Data Centers,” Computer Li, J-Q., Mirchandani, P.B., and Borenstein, D., “A Networks: Special Issue on Virtualized Data Centers Vehicle Rescheduling Problem with Real-time Vehicle Misra, Satyajayant, Xue, G., and Bhardwaj, S., “Secure and (COMNETS), Vol. 53, No. 17, pp 2888-2904, Dec. 2009. Reassignments and Trip Cancellations,” Transportation Robust Localization in a Wireless Ad Hoc Environment,” Research Part E: Logistics and Transportation Review, Vol. IEEE Transactions on Vehicular Technology, Vol. 58, pp. Nam, H., Renaut, R., Chen, K., Guo, H., Farin, G., 45, No. 3, pp. 419-433, 2009. 1480-1489, 2009. “Improved Inter-Modality Image Registration Using Normalized Mutual Information with Coarse-Binned Li, J-Q., Mirchandani, P.B., and Borenstein, D., “Real- Misra, Satyajayant, Reisslein, M., and Xue, G., “A Survey Histograms,” Comm. Num. Methods in Engineering, 25, pp. Time Vehicle Rerouting Problems with Time Windows,“ of Multimedia Streaming in Wireless Sensor Networks,” 583-595, 2009. European Journal of Operational Research, Vol. 194, pp IEEE Communications Surveys and Tutorials, Vol. 10, No. 711-727, May 2009. 4, pp. 18-39, 2009. Nielson, G. M., “Normalized Implicit Eigenvector Least Squares Operators for Noisy Scattered Data: Radial Basis Li, W., Zhou, J., Li, B., Sezan, M.I., “Virtual View Monroe, E. and Pan, R., “Knowledge Based Reliability Functions,” Computing, Vol. 86, No. 2-3, pp. 199-212, Specification and Synthesis for Free-Viewpoint Television,” Assessments for Time-Varying Climates,” Quality and October, 2009. IEEE Transactions on Circuit and Systems for Video Reliability Engineering, International, Vol. 25, No. 1, pp. Technology, Vol, 19, No. 4, pp.533-546, 2009. 111-124, 2009. Nielson, G. M., Zhang, L., Lee, K., Huang, A., “Spherical Parameterization of Marching Cubes Isosurfaces based Liu, Z., Sun, P., and Chen, Y., “Structured Search Result Montgomery, D.C. “A Conversation with Stu Hunter,” upon Nearest Neighbor Coordinates,” Journal of Computer Differentiation,” PVLDB, Vol. 2, No. 1, pp. 313-324, 2009. Quality Engineering, Vol. 21, No. 3, pp. 233-240, 2009. Science and Technology, Vol. 24, No. 1, pp. 30-38, Jan. Moon, Y. and Syrotiuk, V. R., “A Cooperative CDMA- 2009. Liu, Z., Sun, P., Huang, Y., Cai, Y., and Chen, Y., based Multi-Channel MAC Protocol for Mobile Ad Hoc Challenges, Techniques and Directions in Building XSeek: 55 Journal Publications- contd. Rodriguez, M., Montgomery, D.C. and Borror, C.M., Tang, J., Xue, G., and Zhang, W. “Cross-Layer Optimization “Generating Experimental Designs Involving Control & for End-to-End Rate Allocation in Multi-Radio Wireless Noise Variables using Genetic Algorithms,” Quality and Mesh Networks,” ACM Wireless Networks (WINET), Vol. Noh, H., Chiu, Y-C, Zheng, H., Hickman, M., Mirchandani, Reliability Engineering International, Vol. 25, pp. 1045- 15, (1), pp. 53-64. P., "Approach to Modeling Demand and Supply for a Short 066, 2009. Notice Evacuation," Transportation Research Record, 9091, Tari, L., Baral, C., Kim, S., “Fuzzy C-Means Clustering pp. 91-99, 2009. Ronneseth, A.H . and Colbourn, C.J., “Merging Covering with Prior Biological Knowledge,” J. Biomedical Arrays and Compressing Multiple Sequence Alignments,” Informatics, Vol. 42, No. 1, pp. 74-81.2009. Obeidat, S. A. and Syrotiuk, V. R. ``An Opportunistic Discrete Applied Mathematics, 2177-2190, 2009. Cross-Layer Architecture for Voice in Multi-hop Wireless Torres-García W., Zhang, W., Runger, G., Johnson, R., LANs,'' International Journal of Communication Systems, Shao, Q., Sun, P., and Chen, Y. “Efficiently Discovering and Meldrum, D., “Integrative Analysis of Transcriptomic Vol. 22, No.4, pp. 419-439, April 2009. Critical Workflows in Scientific Explorations,”Future and Proteomic Data of Desulfovibrio Vulgaris: a Nonlinear Generation Computer Systems, Vol. 25, No. 5, pp. 577-585, Model to Predict Abundance of Undetected Proteins,” Pan, R., “A Bayes Approach to Reliability Prediction 2009. Bioinformatics, Vol. 25, No. 15, pp. 1905-1914, 2009. Utilizing Data from Accelerated Life Tests and Field Failure Observations,” Quality and Reliability Engineering, Shrivastava, A., Kannan, A., and Lee, J., “A Software-only Tran, N., Baral, C., “Hypothesizing About Signaling International, Vol. 25, No. 2, pp. 229-240, 2009. Solution to use Scratch Pads for Stack Data,” TCAD :IEEE Networks,” Journal of Applied Logic, Vol. 7, No. 3, pp. 253- Transactions on Computer Aided Design, Vol. 28, No. 11, 274, 2009. Pan, R. and Rigdon, S., “Bayes Inference for General pp. 1719-1728, Nov. 2009. Repairable Systems,” Journal of Quality Technology, Vol. Tuv, E., Borisov, A., Runger, G., Torkkola, K., “Feature 41, No.1, pp. 82-94, 2009. Shrivastava, A., Issenin, L., Dutt, N., Park, S., and Paek, Selection with Ensembles, Artificial Variables, and Y., “Compiler-in-the-Loop Design Space Exploration Redundancy Elimination,” Journal of Machine Learning Parameswaran, V., Kannur, A., and Li, B., “Adapting Framework for Energy Reduction in Horizontally Research 10, pp, 1341-1366. Quantization Offset in Multiple Description Coding for Partitioned Cache Architectures,” TCAD :IEEE Transactions Error Resilient Video Transmission,” Journal of Visual on Computer Aided Design, Vol. 28, No. 3, pp. 461-466, Vanegas, C., Aliaga, D., Wonka, P., Müller, P., Waddell, Communication and Image Representation, Vol. 20, Issue 7, March 2009. P., Watson, B., “Modeling the Appearance and Behavior of pp. 491-503, 2009. Urban Spaces,” Computer Graphics Forum, 2009. Shrivastava, A., Bhardwa, S., and Vrudhula, S., “Reduc- Parmar, D., Wu, T., Callarman, T., Fowler, J., Wolfe, P., ing Functional Unit Power Consumption and its Variation Walker II, R.A. and Colbourn, C.J., “Tabu Search for “A Clustering Algorithm for Supplier Base Management,” Using Leakage Sensors,” IEEE Transactions on Very Large Covering Arrays Using Permutation Vectors,” Journal of International Journal of Production Research, 1-19, 2009. Scale Integration (VLSI), Vol. 18, pp. 173–183, Feb. 2009. Statistical Planning and Inference, 139, 69-80, 2009.

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Liu, Ji, Musialski P., Wonka, P., and Ye J., “Tensor Moturu, S.T., Yang, J. and Liu, H., “Quantifying Utility Nagesh, P. and Li, B., “A Compressive Sensing Approach Completion for Estimating Missing Values in Visual Data,” and Trustworthiness for Advice Shared on Online Social for Expression-Invariant Face Recognition,” CVPR, June, The Twelfth IEEE International Conference on Computer Media," Symposium on Social Intelligence and Networking, 2009. Vision (ICCV), 2009. IEEE International Conference on Social Computing (SocialCom'09), Vancouver, Canada, Aug 29-31, 2009. Nagesh, P. and Li, B., “Compressive Imaging of Color Liu, X., Du, Z., Chen, Y., Dai, M., "An Index Clustering Images,” ICASSP, April, 2009. and Mapping Algorithm for Large Scale Astronomical Mukherjee, T. and Gupta, S. K. S., “A Crisis Response Data Searching," In Proceedings of the 2009 29th IEEE Evaluation Tool to Improve Crisis Preparedness," IEEE Int. Nasser, S., Ranade, A. R., Sridhart, S., Haney, L., Korn, International Conference on Distributed Computing Systems Conf. on Technologies for Homeland Security, Waltham, R. L., Gotway, M. B., Weiss, G. J., Kim, S., “Identifying Workshops, Montreal, pp.318-323, June 22 - 26, 2009. MA, May 11-12, 2009. MiRNA and Imaging Features Associated with Metastasis of Lung Cancer to the Brain,” IEEE International Conference Makris, K., Bazzi, R. A., “Immediate Multi-Threaded Mukherjee, T., Gupta, S. K. S., Varsamopoulos, G. “Self- on Bioinformatics & Biomedicine, Washington D.C. USA. Dynamic Software Updates Using Stack Reconstruction,” Managing Energy-Efficient Multicast Support in MANETs (best paper award), Nov 1- 4, 2009. USENIX Annual Technical Conference (USENIX), pp.397- under End to End Reliability Constraints,” Elsevier 410, June 2009. Computer Networks, vol. 53(10), pp. 1603-1627, July 2009. Nasser, S., Weiss, G. J., Ranade, A. R., and Kim, S, “In- silico Conditioning of MicroRNA to Identify Potential

61 Conference Proceedings- contd. “Musical Applications and Design Techniques for 2009: 3912-3917 An Ensemble Learning and Problem the Gametrack Tethered Spatial Position Controller,” Solving Architecture for Airspace Management, Proceedings Proceedings of the Conference on Tangible Embedded of IAAI, 2009. Biomarkers from Serum for Pancreatic Cancer,” IEEE Interaction 2009, Cambridge, England, February 2009. GENSIPS 2009, Minneapolis, MN, USA, May 17-19, 2009. Sen, A. and Banerjee, S., “Impact of Region-based Faults on Pan, R., “A Unifying Approach to Data Fusion for the Connectivity and Capacity of Wireless Networks,” 47th Nayeri, P., Colbourn, C.J., and Konjevod, G., Reliability Prediction,” Mathematical Methods in Annual Allerton Conference on Communication,Control, “Randomized Postoptimization of Covering Arrays,” Reliability, Moscow, June 22-27, 2009. and Computing, University of Illinois, Urbana-Champaign, Proceedings of the Int. Workshop on Combinatorial September 2009. Algorithms (lWOCA), pp. 408-419, 2009. Pan, R. and Monroe, E. “Modeling and Analysis of Profiled Reliability Tests using Computation-Intensive Statistical Sen, A., Murthy, S., and Banerjee, S., “Region-Based Nielson, G. M. & Lee, K., “Urban Terrain Data Modeling Methods,” The 2nd IREE Proceedings, NSF, April 2009. Connectivity - A New Paradigm for Design of Fault- with Adaptive Marching Tetrahedra and Feature Detecting tolerant Networks,” IEEE International Conference on High Techniques,” Proceedings of the 2009 conference on Pan, R. “GLM Approach to Step-Stress Accelerated Life Performance Switching and Routing (HPSR), Paris, France, Information Science, Technology and Applications, Kuwait, Testing Data Analysis,” The 2009 Proceedings of NSF June 2009. pp. 30-39, 2009 ISBN:978-1-60558-478-2, ISTA 2009. CMMI Engineering Research and Innovation Conference, Honolulu, Hawaii, June 2009. Sen, I., Verdicchio, M., Jung, S., Trevino, R., Bittner, M. Nielson, G. 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64 the Article Text,” IJCAI Workshop on User-Contributed Y. Pan, Nova Science Publishers, Inc., 2008, Chapter 3, pp. Technology Systems Across Disciplines: Advancements in Knowledge and Artificial Intelligence: An Evolving 97-115. the Application of Computer Science, E. Abu-Taieh and A. Synergy, pp. 44-46, 2009. El-Sheikh (Ed.), IGI Global, 2009, ISBN 978-1605666167. Pan, R., “A Gentle Introduction to the Analysis of Kammerdiner, A., Boyko, N., Ye, N., He, J., and Pardalos, Sequential Data,” The Mini-Paper Series of ASQ Statistics Xu, X. and Li, B., “Chapter 8. Human Action Recognition P.M., “Integration of Signals in Complex Biophysical Division Newsletter, November 2009. in Video,” in Intelligent Video Surveillance: Systems and Systems,” in M. J. Hirsch, P. M. Pardalos, and R. Murphey Technology, Ed. Y. Ma and G. Qian, CRC Press, ISBN: 978- (eds.), Dynamics of Information Systems: Theory and Pan, R., “Statistical Process Adjustment in Short-Run 1-4398-1328-7, December 2009. 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65 The ASU Vision - To establish ASU as the model for a New American University, measured not by who we exclude, but rather by who we include; pursuing research and discovery that benefits the public good; assuming major responsibility for the economic, social, and cultural vitality and health and well-being of the community. 66 The Annual Report is published by the School of Computing, Informatics, and Decision Systems Engineering in the Ira A. Fulton Schools of Engineering at Arizona State University. For more information about the School of Computing, Informatics, and Decision Systems Engineering, visit http://engineering.asu.edu/cidse on the Web. For details about the programs or research highlighted in this magazine, please contact the editor or sources directly. School of Computing, Informatics, and Decision Systems Engineering Ira A. Fulton Schools of Engineering Arizona State University Production Note: Sustainability is the simple idea that, as human beings, we PO Box 878809 place a high value on our own quality of life and that of future generations. Tempe, AZ 85287-8809 To be sustainable, our actions must reflect what is important to us- qualities such as clean air, clean water, health, security and prosperity. Editor Veronica D. Bräuchli In keeping with the spirit of ASU President Crow’s Sustainability Initiative, we are producing a more “sustainable” Annual Report. The paper we are using Contributing Writers is highly recycled, compared to both foreign and domestic grades, and the Ronald G. Askin mill at which it is produced is a “clean mill” with a sustainability charter. Veronica D. Bräuchli Joe Kullman

Design & Production Veronica D. Bräuchli

Photography Veronica Bräuchli Deborah Paterick Jessica Slater Tom Story © Copyright 2010. Arizona Board of Regents. All rights reserved. Printed in the United States The sunburst logo is a registered trademark, and the Arizona State University word mark is a trademark of the Arizona Board of Regents. All other brand, product names, company names, trademarks and service marks used herein are the property of their respective owners. Information in this document is for informational purposes only and is subject to change without notice. For more information, please visit: engineering.asu.edu/cidse 67

School of Computing, Informatics, and Decision Systems Engineering

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