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Tarjan Transcript Final with Timestamps
A.M. Turing Award Oral History Interview with Robert (Bob) Endre Tarjan by Roy Levin San Mateo, California July 12, 2017 Levin: My name is Roy Levin. Today is July 12th, 2017, and I’m in San Mateo, California at the home of Robert Tarjan, where I’ll be interviewing him for the ACM Turing Award Winners project. Good afternoon, Bob, and thanks for spending the time to talk to me today. Tarjan: You’re welcome. Levin: I’d like to start by talking about your early technical interests and where they came from. When do you first recall being interested in what we might call technical things? Tarjan: Well, the first thing I would say in that direction is my mom took me to the public library in Pomona, where I grew up, which opened up a huge world to me. I started reading science fiction books and stories. Originally, I wanted to be the first person on Mars, that was what I was thinking, and I got interested in astronomy, started reading a lot of science stuff. I got to junior high school and I had an amazing math teacher. His name was Mr. Wall. I had him two years, in the eighth and ninth grade. He was teaching the New Math to us before there was such a thing as “New Math.” He taught us Peano’s axioms and things like that. It was a wonderful thing for a kid like me who was really excited about science and mathematics and so on. The other thing that happened was I discovered Scientific American in the public library and started reading Martin Gardner’s columns on mathematical games and was completely fascinated. -
Qualitative and Quantitative Security Analyses for Zigbee Wireless Sensor Networks
Downloaded from orbit.dtu.dk on: Sep 27, 2018 Qualitative and Quantitative Security Analyses for ZigBee Wireless Sensor Networks Yuksel, Ender; Nielson, Hanne Riis; Nielson, Flemming Publication date: 2011 Document Version Publisher's PDF, also known as Version of record Link back to DTU Orbit Citation (APA): Yuksel, E., Nielson, H. R., & Nielson, F. (2011). Qualitative and Quantitative Security Analyses for ZigBee Wireless Sensor Networks. Kgs. Lyngby, Denmark: Technical University of Denmark (DTU). (IMM-PHD-2011; No. 247). General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Qualitative and Quantitative Security Analyses for ZigBee Wireless Sensor Networks Ender Y¨uksel Kongens Lyngby 2011 IMM-PHD-2011-247 Technical University of Denmark Informatics and Mathematical Modelling Building 321, DK-2800 Kongens Lyngby, Denmark Phone +45 45253351, Fax +45 45882673 [email protected] www.imm.dtu.dk IMM-PHD: ISSN 0909-3192 Summary Wireless sensor networking is a challenging and emerging technology that will soon become an inevitable part of our modern society. -
Finding Rising Stars in Co-Author Networks Via Weighted Mutual Influence
Finding Rising Stars in Co-Author Networks via Weighted Mutual Influence Ali Daud a,b Naif Radi Aljohani a Rabeeh Ayaz Abbasi a,c a Faculty of Computing and a Faculty of Computing and c Department of Computer Science, Information Technology, King Information Technology, King Quaid-i-Azam University, Islamabad, Abdulaziz University, Jeddah, Saudi Abdulaziz University, Jeddah, Saudi Pakistan Arabia Arabia [email protected] [email protected] [email protected] b b d Zahid Rafique Tehmina Amjad Hussain Dawood b Department of Computer Science b Department of Computer Science d Faculty of Computing and and Software Engineering, and Software Engineering, Information Technology, University International Islamic University, International Islamic University, of Jeddah, Jeddah, Saudi Arabia Islamabad, Pakistan Islamabad, Pakistan [email protected] [email protected] [email protected] a Khaled H. Alyoubi a Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia [email protected] ABSTRACT KEYWORDS Finding rising stars is a challenging and interesting task which is Bibliographic databases; Citations; Author Order; Rising Stars; Mutual being investigated recently in co-author networks. Rising stars are Influence; Co-Author Networks authors who have a low research profile in the start of their career but may become experts in the future. This paper introduces a new method Weighted Mutual Influence Rank (WMIRank) for finding 1. INTRODUCTION rising stars. WMIRank exploits influence of co-authors’ citations, The rapid evolution of scientific research has created large order of appearance and publication venues. Comprehensive volumes of publications every year, and is expected to continue in experiments are performed to analyze the performance of near future [21]. -
Moshe Y. Vardi
MOSHE Y. VARDI Address Office Home Department of Computer Science 4515 Merrie Lane Rice University Bellaire, TX 77401 P.O.Box 1892 Houston, TX 77251-1892 Tel: (713) 348-5977 Tel: (713) 665-5900 Fax: (713) 348-5930 Fax: (713) 665-5900 E-mail: [email protected] URL: http://www.cs.rice.edu/∼vardi Research Interests Applications of logic to computer science: • database systems • complexity theory • multi-agent systems • specification and verification of hardware and software Education Sept. 1974 B.Sc. in Physics and Computer Science (Summa cum Laude), Bar-Ilan University, Ramat Gan, Israel May 1980 M.Sc. in Computer Science, The Feinberg Graduate School, The Weizmann Insti- tute of Science, Rehovoth, Israel Thesis: Axiomatization of Functional and Join Dependencies in the Relational Model. Advisors: Prof. C. Beeri (Hebrew University) Prof. P. Rabinowitz Sept 1981 Ph.D. in Computer Science, Hebrew University, Jerusalem, Israel Thesis: The Implication Problem for Data Dependencies in the Relational Model. Advisor: Prof. C. Beeri Professional Experience Nov. 1972 – June 1973 Teaching Assistant, Dept. of Mathematics, Bar-Ilan University. Course: Introduction to computing. 1 Nov. 1978 – June 1979 Programmer, The Weizmann Institute of Science. Assignments: implementing a discrete-event simulation package and writing input-output routines for a database management system. Feb. 1979 – Oct. 1980 Research Assistant, Inst. of Math. and Computer Science, The Hebrew University of Jerusalem. Research subject: Theory of data dependencies. Nov. 1980 – Aug. 1981 Instructor, Inst. of Math. and Computer Science, The Hebrew University of Jerusalem. Course: Advanced topics in database theory. Sep. 1981 – Aug. 1983 Postdoctoral Scholar, Dept. of Computer Science, Stanford Univer- sity. -
Michael Oser Rabin Automata, Logic and Randomness in Computation
Michael Oser Rabin Automata, Logic and Randomness in Computation Luca Aceto ICE-TCS, School of Computer Science, Reykjavik University Pearls of Computation, 6 November 2015 \One plus one equals zero. We have to get used to this fact of life." (Rabin in a course session dated 30/10/1997) Thanks to Pino Persiano for sharing some anecdotes with me. Luca Aceto The Work of Michael O. Rabin 1 / 16 Michael Rabin's accolades Selected awards and honours Turing Award (1976) Harvey Prize (1980) Israel Prize for Computer Science (1995) Paris Kanellakis Award (2003) Emet Prize for Computer Science (2004) Tel Aviv University Dan David Prize Michael O. Rabin (2010) Dijkstra Prize (2015) \1970 in computer science is not classical; it's sort of ancient. Classical is 1990." (Rabin in a course session dated 17/11/1998) Luca Aceto The Work of Michael O. Rabin 2 / 16 Michael Rabin's work: through the prize citations ACM Turing Award 1976 (joint with Dana Scott) For their joint paper \Finite Automata and Their Decision Problems," which introduced the idea of nondeterministic machines, which has proved to be an enormously valuable concept. ACM Paris Kanellakis Award 2003 (joint with Gary Miller, Robert Solovay, and Volker Strassen) For \their contributions to realizing the practical uses of cryptography and for demonstrating the power of algorithms that make random choices", through work which \led to two probabilistic primality tests, known as the Solovay-Strassen test and the Miller-Rabin test". ACM/EATCS Dijkstra Prize 2015 (joint with Michael Ben-Or) For papers that started the field of fault-tolerant randomized distributed algorithms. -
Candidate for President (1 July 2018 – 30 June 2020) Jack Davidson
Candidate for President (1 July 2018 – 30 June 2020) Jack Davidson Professor of Computer Science University of Virginia Charlottesville, VA U.S.A. BIOGRAPHY Education and Employment • B.A.S. (Computer Science) Southern Methodist University, 1975; M.S. (Computer Science) Southern Methodist University, 1977; Ph.D. (Computer Science) University of Arizona, 1981. • University of Virginia, Professor, 1982–present. • President, Zephyr Software, 2001–present. • Princeton University, Visiting Professor, 1992–1993. • Microsoft Research, Visiting Researcher, 2000–2001. • Programmer Analyst III, University of Texas Health Science Center at Dallas, 1993–1997. ACM and SIG Activities • ACM member since 1975. • ACM Publications Board Co-Chair, 2010–present; ACM Publications Board member, 2007–2010. • ACM Student Chapter Excellence Award Judge, 2010–2017. • ACM Student Research Competition Grand Finals Judge, 2011–2017. • Associate Editor, ACM TOPLAS, 1994–2000. Associate Editor, ACM TACO, 2005–2016. Member of SIGARCH, SIGBED, SIGCAS, SIGCSE, and SIGPLAN • SIGPLAN Chair, 2005–2007. • SIGPLAN Executive Committee, 1999–2001, 2003–2005. • SGB Representative to ACM Council, 2008–2010. • SGB Executive Committee, 2006–2008. Awards and Honors • DARPA Cyber Grand Challenge Competition, 2nd Place, $1M prize (2016) • ACM Fellow (2008). • IEEE Computer Society Taylor L. Booth Education Award (2008). • UVA ACM Student Chapter Undergraduate Teaching Award (2000). • NCR Faculty Innovation Award (1994). Jack Davidson’s research interests include compilers, computer architecture, system software, embedded systems, computer security, and computer science education. He is co-author of two introductory textbooks: C++ Program Design: An Introduction to Object Oriented Programming and Java 5.0 Program Design: An Introduction to Programming and Object-oriented Design. Professionally, he has helped organize many conferences across several fields. -
David C. Parkes John A
David C. Parkes John A. Paulson School of Engineering and Applied Sciences, Harvard University, 33 Oxford Street, Cambridge, MA 02138, USA www.eecs.harvard.edu/~parkes December 2020 Citizenship: USA and UK Date of Birth: July 20, 1973 Education University of Oxford Oxford, U.K. Engineering and Computing Science, M.Eng (first class), 1995 University of Pennsylvania Philadelphia, PA Computer and Information Science, Ph.D., 2001 Advisor: Professor Lyle H. Ungar. Thesis: Iterative Combinatorial Auctions: Achieving Economic and Computational Efficiency Appointments George F. Colony Professor of Computer Science, 7/12-present Cambridge, MA Harvard University Co-Director, Data Science Initiative, 3/17-present Cambridge, MA Harvard University Area Dean for Computer Science, 7/13-6/17 Cambridge, MA Harvard University Harvard College Professor, 7/12-6/17 Cambridge, MA Harvard University Gordon McKay Professor of Computer Science, 7/08-6/12 Cambridge, MA Harvard University John L. Loeb Associate Professor of the Natural Sciences, 7/05-6/08 Cambridge, MA and Associate Professor of Computer Science Harvard University Assistant Professor of Computer Science, 7/01-6/05 Cambridge, MA Harvard University Lecturer of Operations and Information Management, Spring 2001 Philadelphia, PA The Wharton School, University of Pennsylvania Research Intern, Summer 2000 Hawthorne, NY IBM T.J.Watson Research Center Research Intern, Summer 1997 Palo Alto, CA Xerox Palo Alto Research Center 1 Other Appointments Member, 2019- Amsterdam, Netherlands Scientific Advisory Committee, CWI Member, 2019- Cambridge, MA Senior Common Room (SCR) of Lowell House Member, 2019- Berlin, Germany Scientific Advisory Board, Max Planck Inst. Human Dev. Co-chair, 9/17- Cambridge, MA FAS Data Science Masters Co-chair, 9/17- Cambridge, MA Harvard Business Analytics Certificate Program Co-director, 9/17- Cambridge, MA Laboratory for Innovation Science, Harvard University Affiliated Faculty, 4/14- Cambridge, MA Institute for Quantitative Social Science International Fellow, 4/14-12/18 Zurich, Switzerland Center Eng. -
Acm Council on Women Hails Innovator in Information Retrieval
Contact: Virginia Gold 212-626-0505 [email protected] ACM COUNCIL ON WOMEN HAILS INNOVATOR IN INFORMATION RETRIEVAL Microsoft Research’s Dumais Changed the Way People Search for Information NEW YORK, April 8, 2014 – ACM-W (the Association for Computing Machinery’s Council on Women in Computing) today named Susan T. Dumais of Microsoft Research as the 2014-2015 Athena Lecturer. Dumais introduced novel algorithms and interfaces for interactive retrieval that have made it easier for people to find, use and make sense of information. Her research, at the intersection of human-computer interaction and information retrieval, has broad applications for understanding and improving searching and browsing from the Internet to the desktop. The Athena Lecturer award celebrates women researchers who have made fundamental contributions to computer science. It includes a $10,000 honorarium provided by Google Inc. “Dumais has helped us understand that the search is not the end goal,” said Mary Jane Irwin, who heads the ACM-W awards committee. “Her focus is on understanding when and why people search, and presenting results in context to help integrate those results into the larger search process. Her sustained contributions have shaped the thinking and direction of human-computer interaction and information retrieval, and influenced generations of student interns through collaborative projects with academic and industry partners.” Dumais’ initial research demonstrated that different people use different vocabulary to describe the same thing, and that this mismatch limits the success of traditional keyword-based information retrieval methods. To build search systems that avoided the vocabulary problem, she and her colleagues invented Latent Semantic Indexing (LSI). -
ACM JDIQ) October 31, 2006
PROPOSAL FOR A NEW ACM PUBLICATION: ACM Journal of Data and Information Quality (ACM JDIQ) October 31, 2006 Contacts for the proposed ACM Journal of Data and Information Quality (ACM JDIQ) Dr. Yang Lee Phone and email: MIS-EIC (617) 373-5052 Associate Professor (617) 739-9367 (fax) College of Business Administration [email protected] Northeastern University 214 Hayden Hall 360 Huntington Avenue Boston, MA 021115-5000 Dr. Stuart Madnick Phone and email: CS-EIC (617) 253-6671 J N Maguire Professor of Information Technology and (617) 253-3321 (fax) Professor of Engineering Systems [email protected] Massachusetts Institute of Technology Room E53-321 Cambridge, MA 02142 Dr. Elizabeth Pierce Phone and email: Managing Editor (501) 569-3488 Associate Professor (501) 569-7049 (fax) Department of Information Science [email protected] University of Arkansas at Little Rock ETAS Building, Room 258 2801 South University Avenue Little Rock, Arkansas 72204 1. JUSTIFICATION 1.1 Background for this Proposal Today’s organizations are increasingly investing in technology to collect, store, and process vast volumes of data. Even so, they often find themselves stymied in their efforts to translate this data into meaningful insights that can be used to improve business processes and to make better decisions. The reasons for this difficulty can often be traced to issues of quality. These involve both technical issues, such as that the data collected may be inconsistent, inaccurate, incomplete, or out-of-date as well as the fact that many organizations lack a cohesive strategy across the enterprise to ensure that the right stakeholders have the right information in the right format at the right place and time. -
Datalog Unchained
Datalog Unchained Victor Vianu UC San Diego & Inria [email protected] ABSTRACT robust class of fixpoint queries, previously defined by extensions of This is the companion paper of a talk in the Gems of PODS se- first-order logic with a fixpoint operator. ries, that reviews the development, starting at PODS 1988, of a The two PODS 1988 articles initiated a line of research [3, 6, 8, family of Datalog-like languages with procedural, forward chain- 14, 15, 104, 116] that extended the forward chaining approach to an ing semantics, providing an alternative to the classical declarative, entire family of Datalog-like languages, providing an alternative model-theoretic semantics. These languages also provide a unified paradigm for database queries, with natural counterparts to classical formalism that can express important classes of queries including query languages including the fixpoint and while queries, and all the fixpoint, while, and all computable queries. They can also incor- way to computable queries. The forward chaining approach turned porate in a natural fashion updates and nondeterminism. Datalog out to also be suitable for studying nondeterministic languages, variants with forward chaining semantics have been adopted in a yielding an appealing unifying formalism. The present paper tells variety of settings, including active databases, production systems, the story of this development. distributed data exchange, and data-driven reactive systems. After a brief review of classical query languages, we turn to Datalog and its extensions. We begin with an informal overview of ACM Reference Format: Datalog and Datalog: with stratified and well-founded semantics. Victor Vianu. 2021. Datalog Unchained. -
Proposal) RA PTIME X⊆ + ⊇ X⊇ X X
U4U - Taming Uncertainty with Uncertainty-Annotated Databases Division: CISE/IIS/III Boris Glavic, Oliver Kennedy, Atri Rudra Keywords: Uncertainty; Incomplete Databases; Certain Answers survey 1 Overview AgeRange Zip Gender Commute Uncertainty is prevalent in data analysis, no matter 1 18-24 10003 M 1 hour what the size of the data, the application domain, or the 2 24-36 10003 M 90 3 37-45 10007 NULL 50 min type of analysis. Common sources of uncertainty include 4 0-18 10007 F 40 min missing values, sensor errors and noise, bias, outliers, 5 NULL 14260 F 1 mismatched data, and many more. If ignored, data uncer- 6 0-18 14260 Other 70 min tainty can result in hard to trace errors in analytical results, Figure 1: Example input with missing values which in turn can have severe real world implications like unfounded scientific discoveries, financial damages, or even effects on people’s physical well-being (e.g., medical decisions based on incorrect data). Example 1 Consider the example dataset survey in Figure1, which illustrates responses to a survey of com- muters, with one row per response. Several NULL values indicate omitted responses. Commute (duration) is a free-text response and follows multiple response formats. Several of these (in red) lack units, can not be parsed, and are consequently replaced with NULL. A data scientist explores this data with the query: SELECT Zip,AVG(Commute)FROM surveyWHERE Gender = 'F'GROUPBY Zip SQL’s NULL value semantics would silently exclude rows 2, 3 and 5 when computing results. Dropping records that contain missing data is one commonly used approach to managing uncertainty in data science, but by no means the only one. -
SIGCHI Executive Committee Meeting Notes 2014/10
SIGCHI EC agenda Honolulu, Hawaii, USA October 911, 2014 October 9 Gerrit van der Veer, Allison Druin, Philippe Palanque, Rob Jacob, Fred Sampson, Gary Olson, Scooter Morris, Patrick Kelley, Zhengjie Liu, Ashley Cozzi, John Thomas, Jonathan Lazar, Dan Olsen Apologies: Elizabeth Churchill, Jenny Preece, John Karat, Jofish Kaye, Kia Hook, Tuomo Kujala Various Issues: ● Sig Governing Board retiree task force (and JohnT’s suggestion) ○ Draft from Jonathan Grudin, Ron Baecker, John Thomas: Seniors for CHI, CHI for Seniors Ron Baecker, Jonathan Grudin, John Thomas Gerrit to send email to ECDONE Gerrit needs some feedback to bring to SIG Governing Board ● One of the SIGs have been developing “Playing cards of notable women in computing” This will be a kickstarter project, launching very soon (at Grace Hopper?) Details: http://www.cs.duke.edu/csed/wikipedia/cards.html Big: http://www.cs.duke.edu/csed/wikipedia/notableWomenWebPoster.jpg ● Publishing the minutes from the *May* Toronto meeting ○ Allison to work with Fred on redoing Students and Leaders: ● Scholarships ○ Gary Marsden Honoring: ■ Work with/collaborate with University and check with Family ■ Gary Olson to lead this effort & will involve others (Matt Jones, Susan Dray) ○ NEED Conference Scholarships for all SIGCHI sponsored Conferences ■ Scooter to take it to the CMC ● Mentoring ○ John T to chair: Create a lightweight policy for mentoring proposal Allison & Scooter to helpDONE ● Awards ○ Actually looking for nominations (CHI Academy + others) – Nov 15th ○ Patrick to share this info with the rest of the SIGCHI community through social media ○ Rob & Dan to find out awards status from Loren ■ Two Turing awards continuing forward ■ Several ACM Fellows continuing forward ■ This is starting to operate organically within the community.