Curriculum Vitae Munindar P. Singh, Ph.D
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Service Interaction: Patterns, Formalization, and Analysis
Service Interaction: Patterns, Formalization, and Analysis 9th International School on Formal Methods for the Design of Computer, Communication and Software Systems: Web Services (SFM-09:WS), Bertinoro, Italy, June 1-6, 2009. prof.dr.ir. Wil van der Aalst www.vdaalst.org Joint work with Arjan Mooij, Christian Stahl, and Karsten Wolf BEST: Berlin - Rostock- Eindhoven Service Technology Program http://www2.informatik.hu-berlin.de/top/best/ PAGE 1 Outline • Introduction to Service Interaction • Workflow and Service Interaction Patterns • Challenging Analysis Questions • A "Crash Course" in Petri Nets • Exposing Services • Replacing and Refining Services • Integrating Services Using Adapters • Service Mining • Conclusion PAGE 2 Introduction to Service Interaction Service-Orientation: Basic Idea invoke receive reply PAGE 4 Service Networks PAGE 5 Choreography PAGE 6 Orchestration orchestration service B service service C A service D PAGE 7 Workflow? PAGE 8 Some Terminology service choreography service definition activity channel activity port channel message port service definition service definition interface interface Important assumption: asynchronous communication. PAGE 9 Interaction is a source of errors! PAGE 10 PAGE 11 deadlock PAGE 12 restaurant is "uncontrollable"* customer is *by any service with only dead "controllable" but will final markings never get any food PAGE 13 PAGE 14 Workflow and Service Interaction Patterns MS Workflow Foundation Global 360 BPM Suite YAWL FileNet InConcert Fujitsu Interstage Axxerion BWise Software AG/webMethods -
BIOINFORMATICS Doi:10.1093/Bioinformatics/Bti144
Vol. 00 no. 0 2004, pages 1–11 BIOINFORMATICS doi:10.1093/bioinformatics/bti144 Solving and analyzing side-chain positioning problems using linear and integer programming Carleton L. Kingsford, Bernard Chazelle and Mona Singh∗ Department of Computer Science, Lewis-Sigler Institute for Integrative Genomics, Princeton University, 35, Olden Street, Princeton, NJ 08544, USA Received on August 1, 2004; revised on October 10, 2004; accepted on November 8, 2004 Advance Access publication … ABSTRACT set of possible rotamer choices (Ponder and Richards, 1987; Motivation: Side-chain positioning is a central component of Dunbrack and Karplus, 1993) for each Cα position on the homology modeling and protein design. In a common for- backbone. The goal is to choose a rotamer for each position mulation of the problem, the backbone is fixed, side-chain so that the total energy of the molecule is minimized. This conformations come from a rotamer library, and a pairwise formulation of SCP has been the basis of some of the more energy function is optimized. It is NP-complete to find even a successful methods for homology modeling (e.g. Petrey et al., reasonable approximate solution to this problem. We seek to 2003; Xiang and Honig, 2001; Jones and Kleywegt, 1999; put this hardness result into practical context. Bower et al., 1997) and protein design (e.g. Dahiyat and Mayo, Results: We present an integer linear programming (ILP) 1997; Malakauskas and Mayo, 1998; Looger et al., 2003). In formulation of side-chain positioning that allows us to tackle homology modeling, the goal is to predict the structure for a large problem sizes. -
Chicago Board Options Exchange Annual Report 2001
01 Chicago Board Options Exchange Annual Report 2001 cv2 CBOE ‘01 01010101010101010 01010101010101010 01010101010101010 01010101010101010 01010101010101010 CBOE is the largest and 01010101010101010most successful options 01010101010101010marketplace in the world. 01010101010101010 01010101010101010 01010101010101010 01010101010101010 01010101010101010 01010101010101010ifc1 CBOE ‘01 ONE HAS OPPORTUNITIES The NUMBER ONE Options Exchange provides customers with a wide selection of products to achieve their unique investment goals. ONE HAS RESPONSIBILITIES The NUMBER ONE Options Exchange is responsible for representing the interests of its members and customers. Whether testifying before Congress, commenting on proposed legislation or working with the Securities and Exchange Commission on finalizing regulations, the CBOE weighs in on behalf of options users everywhere. As an advocate for informed investing, CBOE offers a wide array of educational vehicles, all targeted at educating investors about the use of options as an effective risk management tool. ONE HAS RESOURCES The NUMBER ONE Options Exchange offers a wide variety of resources beginning with a large community of traders who are the most experienced, highly-skilled, well-capitalized liquidity providers in the options arena. In addition, CBOE has a unique, sophisticated hybrid trading floor that facilitates efficient trading. 01 CBOE ‘01 2 CBOE ‘01 “ TO BE THE LEADING MARKETPLACE FOR FINANCIAL DERIVATIVE PRODUCTS, WITH FAIR AND EFFICIENT MARKETS CHARACTERIZED BY DEPTH, LIQUIDITY AND BEST EXECUTION OF PARTICIPANT ORDERS.” CBOE MISSION LETTER FROM THE OFFICE OF THE CHAIRMAN Unprecedented challenges and a need for strategic agility characterized a positive but demanding year in the overall options marketplace. The Chicago Board Options Exchange ® (CBOE®) enjoyed a record-breaking fiscal year, with a 2.2% growth in contracts traded when compared to Fiscal Year 2000, also a record-breaker. -
Application of Clustering Filters in Order to Exclude Irrelevant
Turkish Journal of Computer and Mathematics Education Vol.12 No.6 (2021), 1815-1827 Research Article Application of Clustering Filters in Order to Exclude Irrelevant Instances of the Process Before Using Reinforcement Learning to Optimize Business Processes in the Bank Andrey A. Bugaenko* Data Science Director, Sberbank PJSC, Moscow, Russia *Corresponding author: Email: [email protected], [email protected] ORCID 0000-0002-3372-5652 Article History: Received: 10 November 2020; Revised 12 January 2021 Accepted: 27 January 2021; Published online: 5 April 2021 ___________________________________________________________________________ Abstract The research offers and describes the use of clustering filters in order to exclude preliminarily the instances of the process, which contain errors, and which are not related directly with the business process, and, accordingly, are irrelevant for the analysis. Comparison of 15 types of filters was performed using mapped-out data. It was shown that successful preliminary filtering is possible before the application of reinforcement learning for business process analysis, which reduces the data processing amount. Key words Machine learning, process mining, clustering filters, DBSCAN, SVM, robust covariance, isolation forest, local outlier factor, banking. ___________________________________________________________________________ Introduction Currently, when applying reinforcement learning in order to analyze business processes in the bank divisions[14]-[15], we quite often see the situation, when the erroneous actions of managers performing the process, which are not related to the business process directly, are logged in the system and drawn in the network graph of the process as additional nodes, thus distorting the actual time of the completion of the process nodes. This not only distorts the vision of the process, but makes the network graph more complicated, and most importantly, slows down data processing materially. -
BIOGRAPHICAL SKETCH NAME: Berger
BIOGRAPHICAL SKETCH NAME: Berger, Bonnie eRA COMMONS USER NAME (credential, e.g., agency login): BABERGER POSITION TITLE: Simons Professor of Mathematics and Professor of Electrical Engineering and Computer Science EDUCATION/TRAINING (Begin with baccalaureate or other initial professional education, such as nursing, include postdoctoral training and residency training if applicable. Add/delete rows as necessary.) EDUCATION/TRAINING DEGREE Completion (if Date FIELD OF STUDY INSTITUTION AND LOCATION applicable) MM/YYYY Brandeis University, Waltham, MA AB 06/1983 Computer Science Massachusetts Institute of Technology SM 01/1986 Computer Science Massachusetts Institute of Technology Ph.D. 06/1990 Computer Science Massachusetts Institute of Technology Postdoc 06/1992 Applied Mathematics A. Personal Statement Advances in modern biology revolve around automated data collection and sharing of the large resulting datasets. I am considered a pioneer in the area of bringing computer algorithms to the study of biological data, and a founder in this community that I have witnessed grow so profoundly over the last 26 years. I have made major contributions to many areas of computational biology and biomedicine, largely, though not exclusively through algorithmic innovations, as demonstrated by nearly twenty thousand citations to my scientific papers and widely-used software. In recognition of my success, I have just been elected to the National Academy of Sciences and in 2019 received the ISCB Senior Scientist Award, the pinnacle award in computational biology. My research group works on diverse challenges, including Computational Genomics, High-throughput Technology Analysis and Design, Biological Networks, Structural Bioinformatics, Population Genetics and Biomedical Privacy. I spearheaded research on analyzing large and complex biological data sets through topological and machine learning approaches; e.g. -
Contract Number: 4400016179
Page 1 of 2 FULLY EXECUTED Contract Number: 4400016179 Original Contract Effective Date: 12/13/2016 Valid From: 01/01/2017 To: 12/31/2018 All using Agencies of the Commonwealth, Participating Political Subdivision, Authorities, Private Colleges and Universities Purchasing Agent Name: Millovich Joseph Your SAP Vendor Number with us: 102380 Phone: 717-214-3434 Fax: 717-783-6241 Supplier Name/Address: IBM CORPORATION P.O. Box 643600 PITTSBURGH PA 15264-3600 US Please Deliver To: To be determined at the time of the Purchase Order unless specified below. Supplier Phone Number: 7175477069 Contract Name: Payment Terms IBM Software & Related Services NET 30 Solicitation No.: Issuance Date: Supplier Bid or Proposal No. (if applicable): Solicitation Submission Date: This contract is comprised of: The above referenced Solicitation, the Supplier's Bid or Proposal, and any documents attached to this Contract or incorporated by reference. Item Material/Service Qty UOM Price Per Total Desc Unit 2 Licenses/Appliances/Subscriptions/SaaS 0.000 0.00 1 0.00 Item Text Software: includes, but is not limited to, commercially available licensed software, software appliances, software subscriptions and software as a service (SaaS). Agencies must develop and attach the Requirements for Non-Commonwealth Hosted Applications/Services when purchasing SaaS (see Appendix H). -------------------------------------------------------------------------------------------------------------------------------------------------------- 3 Services/Support/Maintenance 0.000 0.00 -
Java and Z/OS (And Rdz)
® IBM Software Group Java and z/OS (and RDz) Jon Sayles – [email protected] © 2016 IBM Corporation IBM Software Group | Rational software Merrill Class . They’ll have RDz exposure . Terms & Concepts & Vocabulary Remove fear of Java Analogies – Procedural vocabulary 20 – 30 students - mix of young + old (mostly old) dudes . Call COBOL from Java Java doesn’t create an .exe Objects . z/OS Java Standard z/OS environment JCL – pointing to Unix Aware of JVM – can call COBOL http://www.s390java.com/index.htm IBM Software Group | Rational software Trademarks Trademarks The following are trademarks of the International Business Machines Corporation in the United States and/or other countries. For a complete list of IBM Trademarks, see www.ibm.com/legal/copytrade.shtml: AS/400, DBE, e-business logo, ESCO, eServer, FICON, IBM, IBM Logo, iSeries, MVS, OS/390, pSeries, RS/6000, S/30, VM/ESA, VSE/ESA, Websphere, xSeries, z/OS, zSeries, z/VM The following are trademarks or registered trademarks of other companies Lotus, Notes, and Domino are trademarks or registered trademarks of Lotus Development Corporation Java and all Java-related trademarks and logos are trademarks of Sun Microsystems, Inc., in the United States and other countries LINUX is a registered trademark of Linux Torvalds UNIX is a registered trademark of The Open Group in the United States and other countries. Microsoft, Windows and Windows NT are registered trademarks of Microsoft Corporation. SET and Secure Electronic Transaction are trademarks owned by SET Secure Electronic Transaction LLC. Intel is a registered trademark of Intel Corporation * All other products may be trademarks or registered trademarks of their respective companies. -
Curriculum Vitae Michael Zur Muehlen 939 Bloomfield Street Hoboken, NJ 07030, USA Home Phone: +1 (551) 208‐1071
Curriculum Vitae Michael zur Muehlen 939 Bloomfield Street Hoboken, NJ 07030, USA Home Phone: +1 (551) 208‐1071 Management Summary . Internationally respected authority on Business Process Innovation and Operational Risk Management . Assistant Professor, School of Technology Management, Stevens Institute of Technology . Independent Business Process Management & Transformation Consultant . FelloW, WorkfloW Management Coalition . Author of dozens of peer‐revieWed research studies and published articles Synopsis Dr. Michael zur Muehlen directs the SAP/IDS Scheer Center of Excellence in Business Process Innovation at Stevens Institute of Technology, in Hoboken, NJ, and is responsible for Stevens’ graduate and executive education programs in Business Process Management and Service Innovation. He has over 15 years of experience in the field of process automation and WorkfloW management, and has led numerous process improvement and design projects in the utility, financial services, industrial, and telecommunications sector both in Germany and the US. Prior to his appointment at Stevens, Michael Was a senior lecturer at the Department of Information Systems, University of Muenster, Germany, and a visiting lecturer at the University of Tartu, Estonia. An active contributor to standards in the BPM area, Michael Was named a felloW of the WorkfloW Management Coalition in 2004 and chairs the WfMC Working group “Management and Audit”. He studies the practical use of process modeling standards, techniques to manage operational risks in business processes, and the integration of business processes and business rules. SAP Research, the US Army, the Australian Research Council, and private sponsors have funded his research. Michael has presented his research in more than 20 countries. He is the author of a book on WorkfloW‐based process controlling, numerous journal articles, conference papers, book chapters and Working papers on process management and WorkfloW automation. -
Marie Desjardins CV
Marie desJardins Simmons University Dean of the College of Organizational, Computational, and Information Sciences Professor of Computer Science 300 The Fenway, Boston, MA 02115 • (617) 521-3877 • [email protected] February 19, 2021 RESEARCH INTERESTS Artificial intelligence and computer science education. Primary interests and areas of expertise include machine learning, multi-agent systems, interactive techniques for AI systems, distributed and mixed- initiative planning, preference modeling and learning, K-12 CS education, pedagogical innovation, first- year programs, and ethics education. EDUCATION May 1992 Ph.D. in Computer Science, University of California, Berkeley. Dissertation Title: PAGODA: A Model for Autonomous Learning In Probabilistic Domains. Committee: Dr. Stuart J. Russell (advisor), Dr. Lotfi Zadeh, Dr. Alice Agogino. June 1985 A.B. magna cum laude in Engineering/Computer Science, Harvard University. ADMINISTRATIVE POSITIONS Inaugural Dean of the College of Organizational, Computational, and Information Sciences 2018–present Simmons University Leader of a newly created College, comprising three academic units (School of Business, School of Library and Information Science, and Division of Mathematics, Computing, and Statistics), 50 faculty, 9 staff, and a budget of $10M. Responsible for faculty and staff hiring and development, strategic planning, academic programs, budget plan- ning and management, alumnae/i relations and community engagement, assessment and accreditation, and day-to-day operations. Associate Dean for Academic Affairs 2015–2018 University of Maryland, Baltimore County College of Engineering and Information Technology Collaborated closely with the Dean to provide leadership, program development, and administrative management of College activities related to student affairs, faculty affairs, curriculum, and assessment for the College of Engineering and Information Technology, comprising four departments, 4100 undergraduate majors, 1500 graduate students, and 100 full-time faculty. -
Annual Report 2011
ANNUAL REPORT 2011 TO OUR STOCKHOLDERS: I am pleased to report that KLA-Tencor performed at record levels on several fronts in fi scal year 2011. We achieved company records in our most critical fi nancial metrics, including revenues, net income, earnings per share and profi t margins, and our year-over-year revenue growth signifi cantly exceeded that of our peer group and our industry. At the same time, we generated record free cash fl ow and continued to deliver meaningful returns to our stockholders in the form of dividends and stock repurchases. This performance was the result of our unwavering focus on develop- ing market-leading technology, addressing our customers’ most critical needs and driving operational effi ciency. Though our industry has seen a recent slowdown in demand, we remain very excited about KLA-Tencor’s prospects for the future. The long-term demand drivers for KLA-Tencor and our industry remain intact, and we are well positioned to grow as demand for semiconductor capital equipment recovers. Our record results in fi scal year 2011 demonstrate that our strategies are working. Looking back over our 35-year history, we have established a pattern of achievement and leadership, which has enabled us to create the strong foundation from which we now look ahead to the future. Our accomplishments during fi scal year 2011 in each of our four strategic objectives (Customer Focus, Growth, Operational Excellence and Talent Development) are highlighted below: CUSTOMER FOCUS: MARKET LEADERSHIP Our customer focus strategic objective is measured in customer satisfaction and market share. We maintained our market leadership positions among our foundry and logic customers in fi scal year 2011 and improved our market position in memory, as evidenced by achieving record new order levels across all our end markets during the year. -
ABSTRACT HISTORICAL GRAPH DATA MANAGEMENT Udayan
ABSTRACT Title of dissertation: HISTORICAL GRAPH DATA MANAGEMENT Udayan Khurana, Doctor of Philosophy, 2015 Dissertation directed by: Professor Amol Deshpande Department of Computer Science Over the last decade, we have witnessed an increasing interest in temporal analysis of information networks such as social networks or citation networks. Finding temporal interaction patterns, visualizing the evolution of graph properties, or even simply com- paring them across time, has proven to add significant value in reasoning over networks. However, because of the lack of underlying data management support, much of the work on large-scale graph analytics to date has largely focused on the study of static properties of graph snapshots. Unfortunately, a static view of interactions between entities is often an oversimplification of several complex phenomena like the spread of epidemics, informa- tion diffusion, formation of online communities, and so on. In the absence of appropriate support, an analyst today has to manually navigate the added temporal complexity of large evolving graphs, making the process cumbersome and ineffective. In this dissertation, I address the key challenges in storing, retrieving, and analyzing large historical graphs. In the first part, I present DeltaGraph, a novel, extensible, highly tunable, and distributed hierarchical index structure that enables compact recording of the historical information, and that supports efficient retrieval of historical graph snapshots. I present analytical models for estimating required storage space and snapshot retrieval times which aid in choosing the right parameters for a specific scenario. I also present optimizations such as partial materialization and columnar storage to speed up snapshot retrieval. In the second part, I present Temporal Graph Index that builds upon DeltaGraph to support version-centric retrieval such as a node’s 1-hop neighborhood history, along with snapshot reconstruction. -
John Anthony Capra
John Anthony Capra Contact Vanderbilt University e-mail: tony.capra-at-vanderbilt.edu Information Dept. of Biological Sciences www: http://www.capralab.org/ VU Station B, Box 35-1634 office: U5221 BSB/MRB III Nashville, TN 37235-1634 phone: (615) 343-3671 Research • Applying computational methods to problems in genetics, evolution, and biomedicine. Interests • Integrating genome-scale data to understand the functional effects of genetic differences between individuals and species. • Modeling evolutionary processes that drive the creation of lineage-specific traits and diseases. Academic Vanderbilt University, Nashville, Tennessee USA Employment Assistant Professor, Department of Biological Sciences August 2014 { Present Assistant Professor, Department of Biomedical Informatics February 2013 { Present Investigator, Center for Human Genetics Research Education And Gladstone Institutes, University of California, San Francisco, CA USA Training Postdoctoral Fellow, October 2009 { December 2012 • Advisor: Katherine Pollard Princeton University, Princeton, New Jersey USA Ph.D., Computer Science, June 2009 • Advisor: Mona Singh • Thesis: Algorithms for the Identification of Functional Sites in Proteins M.A., Computer Science, October 2006 Columbia College, Columbia University, New York, New York USA B.A., Computer Science, May 2004 B.A., Mathematics, May 2004 Pembroke College, Oxford University, Oxford, UK Columbia University Oxford Scholar, October 2002 { June 2003 • Subject: Mathematics Honors and Gladstone Institutes Award for Excellence in Scientific Leadership 2012 Awards Society for Molecular Biology and Evolution (SMBE) Travel Award 2012 PhRMA Foundation Postdoctoral Fellowship in Informatics 2011 { 2013 Princeton University Wu Graduate Fellowship 2004 { 2008 Columbia University Oxford Scholar 2002 { 2003 Publications Capra JA* and Kostka D*. Modeling DNA methylation dynamics with approaches from phyloge- netics.