The Computing Community Consortium (CCC) and the Computing Research Association (CRA), with funding from the National Science Foundation, are pleased to announce a new call for Computing Innovation Fellows (CIFellows) for the 2010-11 academic year. The CIFellows Project is an opportunity for recent Ph.D. graduates in computer science and closely related fields to obtain one- to two-year postdoctoral positions at universities, industrial research laboratories, and other organizations that advance the field of computing and its positive impact on society. The goals of the CIFellows project are to retain new Ph.D.s in research and teaching and to support intellectual renewal and diversity in the computing fields at U.S. organizations.
Selection Committee
The Selection Committee is charged with reviewing the applications to the CIFellows Project.
Al Aho
Alfred Aho is Lawrence Gussman Professor of Computer Science at Columbia University. He is widely known for his co-authorship of the AWK programming language with Peter J. Weinberger and Brian Kernighan (the 'A' stands for "Aho"), and his co-authorship of Compilers: Principles, Techniques, and Tools (the "Dragon book") with Monica Lam, Ravi Sethi and Jeffrey Ullman. He wrote the initial versions of the Unix tools egrep and fgrep. He is also a co-author (along with Ullman and John Hopcroft) of a number of widely used textbooks on several areas of computer science, including algorithms and data structures, and the foundations of computer science. Aho's current research interests include programming languages, compilers, algorithms, and quantum computing. He won the IEEE John von Neumann Medal and is a member of the National Academy of Engineering and the American Academy of Arts and Sciences. He is a fellow of the AAAS, ACM, Bell Labs, and IEEE. He won the Great Teacher Award from the Society of Columbia Graduates and is part of the Language and Compilers research group at Columbia University.
David A. Bader
David A. Bader is a Full Professor in the School of Computational Science and Engineering, College of Computing, at Georgia Institute of Technology. Dr. Bader is the founding director of the NSF Center for Hybrid Multicore Productivity Research at Georgia Tech, a task lead in the Center for Adaptive Supercomputing Software for Multithreaded Architectures (CASS-MT), and has also served as director of the Sony-Toshiba-IBM Center of Competence for the Cell Broadband Engine Processor. He received his Ph.D. in 1996 from The University of Maryland, was awarded a National Science Foundation (NSF) Postdoctoral Research Associateship in Experimental Computer Science. He is an NSF CAREER Award recipient, an investigator on several NSF and NIH awards, was a distinguished speaker in the IEEE Computer Society Distinguished Visitors Program, and a member of the IBM PERCS team for the DARPA High Productivity Computing Systems program. Dr. Bader serves on the Research Advisory Council for Internet2, and the Steering Committees of the IPDPS and HiPC conferences. He is an associate editor for several high impact publications including the ACM Journal of Experimental Algorithmics (JEA), IEEE DSOnline, and Parallel Computing, has been an associate editor for the IEEE Transactions on Parallel and Distributed Systems (TPDS), is an IEEE Fellow and a Member of the ACM. Dr. Bader's interests are at the intersection of high-performance computing and computational biology and genomics. He has co-chaired a series of meetings, the IEEE International Workshop on High-Performance Computational Biology (HiCOMB), co-organized the NSF Workshop on Petascale Computing in the Biological Sciences, written several book chapters, and co-edited special issues of the Journal of Parallel and Distributed Computing (JPDC) and IEEE TPDS on high-performance computational biology. His main areas of research are in parallel algorithms, combinatorial optimization, and computational biology and genomics.
Erik Demaine
Erik Demaine is an Associate Professor in computer science at the Massachusetts Institute of Technology. Demaine's research interests range throughout algorithms, from data structures for improving web searches to the geometry of understanding how proteins fold to the computational difficulty of playing games. He received a MacArthur Fellowship as a "computational geometer tackling and solving difficult problems related to folding and bending--moving readily between the theoretical and the playful, with a keen eye to revealing the former in the latter". He appears in the recent origami documentary Between the Folds, cowrote a book about the theory of folding (Geometric Folding Algorithms), and a book about the computational complexity of games (Games, Puzzles, and Computation). His interests span the connections between mathematics and art, particularly sculpture and performance, including curved origami sculptures in the permanent collection of Museum of Modern Art (MoMA), New York.
Jim Foley
Jim Foley is a professor and Interim Dean in the College of Computing at Georgia Tech. He spent four years in Cambridge MA, first as Director of MERL and then as President of all Mitsubishi Electric’s Research Labs in the US. He is co-author, with Andy van Dam, Steve Feiner and John Hughes, of several computer graphics books. His current research interests are educational technologies, learning sciences and information visualization. He received SIGGRAPH's bi-annual Steven Coons award for Lifetime Contributions to Computer Graphics, SIGCHI’s Lifetime Achievement Award, was elected to the National Academy of Engineering, and is a Fellow of AAAS, ACM, and IEEE.
M. Frans Kaashoek (Co-Chair)
M. Frans Kaashoek is a professor in MIT's EECS Department and a member of the Computer Science and Artificial Intelligence Laboratory. He received his PhD from the Vrije Universiteit (Amsterdam, The Netherlands) for his work on group communication in the Amoeba distributed operating system. His principal field of interest is designing and building computer systems. Some of the current projects that he is working on with students include exokernels, an extensible operating system architecture, and SFS, a secure, decentralized global file system.
David Kaeli
Dr. Kaeli is the Director of the Northeastern University Computer Architecture Research Laboratory (NUCAR). He is the co-leader of the Northeastern University Institute for Information Assurance (IIA) . He is a Research Thrust Leader for the NSF Center for Subsurface Sensing and Imaging Systems (CenSSIS) . He is also a member of the Northeastern University Institute for Complex Scientific Software (ICSS).
Hank Korth
Henry F. Korth is Weiseman Professor of Computer Science and Engineering at Lehigh University. He is director of the Systems, Experimentation, and Analysis Laboratory for Databases (SEAL DB). His publications include three books, one of which, Database Systems Concepts, is soon to be in its sixth edition; over 100 journal articles, conference publications and other technical papers; and twelve book chapters. Korth also holds eight patents. Before his arrival at Lehigh, Korth held positions of leadership with Lucent Technology's Bell Laboratories in Murray Hill, N.J.
Jim Larus
James Larus is Director of Software Architecture for the Cloud Computing Futures team in Microsoft Research. Larus has been an active contributor to the programming languages, compiler, and computer architecture communities. He has published many papers and served on numerous program committees and NSF and NRC panels. Larus became an ACM Fellow in 2006. Before joining Microsoft, Larus was an Assistant and Associate Professor of Computer Science at the University of Wisconsin-Madison, where he published approximately 60 research papers and co-led the Wisconsin Wind Tunnel (WWT) research project with Professors Mark Hill and David Wood. WWT was a DARPA and NSF-funded project investigated new approaches to simulating, building, and programming parallel shared-memory computers. Larus’s research spanned a number of areas: including new and efficient techniques for measuring and recording executing programs’ behavior, tools for analyzing and manipulating compiled and linked programs, programming languages for parallel computing, tools for verifying program correctness, and techniques for compiler analysis and optimization.
Hector Munoz-Avila
Dr. Hector Munoz-Avila is an associate professor at the Department of Computer Science and Engineering at Lehigh University. Dr. Munoz-Avila has done extensive research on case-based reasoning, planning, and machine learning. He is also interested in advancing game AI with AI techniques. Dr. Munoz-Avila is recipient of a National Science Foundation (NSF) CAREER award and two papers awards. He currently holds a Lehigh Class of 1961 Professorship. He has been chair for various international scientific meetings including the Sixth International Conference on Case-Based Reasoning (ICCBR-05). Dr. Munoz-Avila is currently funded by the National Science Fundation (NSF) and the Air Force Research Laboratory (AFRL). He has been funded in the past by the Defense Advanced Research Projects Agency (DARPA), the Office of Naval Research (ONR), and the Naval Research Laboratory (NRL).
Timothy M. Pinkston
Dr. Timothy M. Pinkston is a Professor in the Ming Hsieh Department of Electrical Engineering and is the Senior Associate Dean of Engineering in the Viterbi School of Engineering. An expert on computer system interconnection networks and architecture, he has published over 100 technical articles and book chapters in that area. He has served on editorial and organizing committees of IEEE technical journals and conferences in the field, including IEEE Transactions on Parallel and Distributed Systems, ACM/IEEE International Symposium on Computer Architecture, IEEE International Symposium on High Performance Computer Architecture, and IEEE International Parallel and Distributed Processing Symposium. Dr. Pinkston recently spent three years serving as a Program Director in the Directorate for Computer & Information Science and Engineering (CISE) at the National Science Foundation where he managed a $10 million award portfolio for the Computer Systems Architecture program and $40 million for the Expeditions in Computing program. Dr. Pinkston earned Ph.D. and Master of Science degrees from Stanford University and a B.S. from The Ohio State University, all in electrical engineering. He is a recipient of the Distinguished Alumnus Award from the College of Engineering and the Minority Engineering Program of The Ohio State University, a Senior Member of the ACM and a Fellow of the IEEE.
Matthew Taylor
Matthew E. Taylor is an assistant professor in the Computer Science Department at Lafayette College. He received an AB in 2001 from Amherst College and a Ph.D. in 2008 from The University of Texas at Austin. He recently concluded a two year post-doc at The University of Southern California. Current research interests include multi-agent systems, reinforcement learning, learning from human advice, and transfer learning.
Jim Waldo
Jim Waldo is a Senior Staff Engineer with VMware, where he works on that company’s cloud computing offerings, and a Gordon MacKay Professor of the Practice of Computer Science at Harvard University. His work centers on distributed computing, systems, and programming languages. At Harvard, he teaches courses in Distributed Systems and Privacy. Prior to joining VMware, Jim was a Distinguished Engineer with Sun Microsystems Laboratories, where he investigated next-generation large-scale distributed systems. While at Sun, he was the technical lead of Project Darkstar, a multi-threaded, distributed infrastructure for massive multi-player on-line games and virtual worlds; the lead architect for Jini, a distributed programming system based on Java; and an early member of the Java software organization. Jim previously spent 8 years at Apollo Computer and Hewlett Packard. Jim is the author of "Java: the Good Parts" (O'Reilly) and co-authored "The Jini Specifications" (Addison-Wesley). He edited "The Evolution of C++: Language Design in the Marketplace of Ideas" (MIT Press). He co-chaired a National Academies study on privacy, and co-edited the report "Engaging Privacy and Information Technology in a Digital Age." He holds over 50 patents. Jim received his Ph.D. in philosophy from the University of Massachusetts (Amherst). He also holds M.A. degrees in both linguistics and philosophy from the University of Utah. He is a member of the IEEE and ACM.
Greg Andrews (Chair)
Greg Andrews is Professor Emeritus of Computer Science at The University of Arizona. His research is on programming languages and software systems for parallel and distributed computing. He has written three books on these topics and received two distinguished teaching awards. Professor Andrews has been Head of Computer Science at Arizona (1986-93 and 2006-08), on the CRA Board of Directors (1991-98), a Division Director at NSF (2003-05), and on the Council of the Computing Community Consortium (2006-08). He is a Fellow of the ACM.
Gregory Abowd
- Ga. Tech
Martin Berzins
Martin Berzins is the Director of The University of Utah School of Computing. His previous engagement was at the University of Leeds in the UK where he was Professor of Scientific Computing and Research Dean for Engineering. He earned his PhD in Computer Science at Leeds in 1981. He has worked in the fields of mathematical software, numerical analysis, parallel computing and more recently problem solving environments and grid computing. Much of Martin's work has centered around solving challenging applications problems in computational fluid dynamics, combustion, atmospheric modeling and lubrication modeling.
Bill Feiereisen
Dr. William (Bill) Feiereisen is currently, the Director of High Performance Computing at the DoD. Before holding this position he was the Division Leader of the Computer and Computational Sciences Division at Los Alamos National Laboratory. Prior to that Bill spent fifteen years at NASA Ames Research Center first as a computational scientist and later as the leader of the NASA Advanced Computing Facility (NAS). His background is turbulence modeling and the fluid mechanics and gas dynamics of hypersonic reentry flows. He has always had a great fascination for the computing machinery itself, explaining his interest in the confluence of computer and computational science for high performance computing.
Stephanie Forrest
Stephanie Forrest is Professor and Chairman of Computer Science at the University of New Mexico in Albuquerque and a Research Professor at the Santa Fe Institute. Professor Forrest received her Ph.D. in Computer and Communication Sciences from the University of Michigan. Before joining UNM she worked for Teknowledge Inc. and was a Director's Fellow at the Center for Nonlinear Studies, Los Alamos National Laboratory. Professor Forrest is an external faculty member of the Santa Fe Institute and serves on its science board. She also served as SFI's Interim Vice President 1999-2000.
Chad Jenkins
Odest Chadwicke Jenkins is an Assistant Professor of Computer Science at Brown University. Prof. Jenkins earned his B.S. in Computer Science and Mathematics at Alma College (1996), M.S. in Computer Science at Georgia Tech (1998), and Ph.D. in Computer Science at the University of Southern California (2003). Prof. Jenkins was selected as a Sloan Fellow and a Kavli Fellow in 2009. He is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE) for his work in physics-based human tracking. He has also received Young Investigator awards from the Office of Naval Research (ONR) for his research in learning dynamical primitives from human motion, the Air Force Office of Scientific Research (AFOSR) for his work in manifold learning and multi-robot coordination and the National Science Foundation (NSF) for robot learning from multivalued human demonstrations. His research addresses problems in robot learning and human-robot interaction, primarily focused on robot learning from demonstration, as well as topics in computer vision, machine learning, and computer animation.
Henry Kautz
Prof. Henry Kautz is Chair of the Department of Computer Science at the University of Rochester. He performs research in knowledge representation, satisfiability testing, pervasive computing, and assistive technology. He was a Professor in the Department of Computer Science and Engineering of the University of Washington from 2000 to 2006, after a career at Bell Labs and AT&T Laboratories. His academic degrees include an A.B. in mathematics from Cornell University, an M.A. in Creative Writing from the Johns Hopkins University, an M.Sc. in Computer Science from the University of Toronto, and a Ph.D. in computer science from the University of Rochester. He is a Fellow of the American Association for the Advancement of Science, President (2010-2012) of the Association for the Advancement of Artificial Intelligence, Fellow of the AAAI, and a recipient of the IJCAI Computers and Thought Award.
Jim Kurose
Jim Kurose a Distinguished Professor of Computer Science and Executive Associate Dean of the College of Natural Sciences at the University of Massachusetts. His research interests include network protocols and architecture, network measurement, sensor networks, multimedia communication, and modeling and performance evaluation. Dr. Kurose has served as Editor-in-Chief of the IEEE Transactions on Communications and was the founding Editor-in-Chief of the IEEE/ACM Transactions on Networking. He has co-chaired the technical program committees for IEEE Infocom, ACM SIGCOMM, ACM SIGMETRICS, and the ACM Internet Measurement conferences. He is the co-author of the textbook, Computer Networking, a top down approach (5th edition). He currently serves on the Board of Directors of the CRA is a member of the Commomwealth of Massachusetts' IT Collaborative. He is a Fellow of the IEEE and the ACM.
Rob Miller
Rob Miller is NBX Career Development Associate Professor in MIT's Department of Electrical Engineering and Computer Science, and a member of the Computer Science and Artificial Intelligence Laboratory. He earned his Ph.D. in Computer Science from Carnegie Mellon University in 2002, and his dissertation won the CMU SCS Distinguished Dissertation award and earned an honorable mention in the ACM Distinguished Dissertation competition. He received the NSF CAREER award in 2005, and has won four best paper awards at USENIX and UIST conferences. His research interests span human-computer interaction, user interfaces, software engineering, and artificial intelligence. His current research focus lies at the intersection of programming and user interfaces, with the goal of reducing the complexity barriers that make programming difficult for novices and experts alike.
Robin Murphy
Robin Roberson Murphy received a B.M.E. in mechanical engineering, a M.S. and Ph.D in computer science (minor: Computer Integrated Manufacturing Systems) in 1980, 1989, and 1992, respectively, from Georgia Tech, where she was a Rockwell International Doctoral Fellow. She is currently the Raytheon Professor of Computer Science. From 1998 to 2008, she was a Professor in the Computer Science and Engineering Department at the University of South Florida with a joint appointment in Cognitive and Neural Sciences in the Department of Psychology. From 1992 to 1998, she was an assistant professor in the Department of Mathematical and Computer Sciences at the Colorado School of Mines.
Sumeet Sandhu
Sumeet Sandhu most recently served as Technical Advisor to the Vice President of Research and Director of Future Technologies Research in Intel Labs. This role provided exceptional exposure to diverse technologies such as sensing/perception, cloud computing, bio-systems, energy, optics/networking, ethnography, robotics, exascale computing, and university-industry IP policies. She developed the company-wide strategy for funding research in Mobile Computing and Internet, and fostered edgy new projects in probabilistic computing, energy storage, and datacenter networking. Previously, she led the wireless 'Distributed Communication' research project on multi-hop/cooperative relays, network coding, wideband MIMO and cellular scaling, managing a team of PhD scientists and engineers. The research won several best paper awards, was featured in top-100 IEEE papers in all disciplines in 2007, and led to the foundation of the new WiMax relay standard IEEE 802.16j. Sumeet holds many patents reading on millions of 802.11n products worldwide (e.g. invented the space-frequency interleaver, and preambles for mixed networks of single and multiple antenna devices). She has over 15 years of experience in wireless: industry standards (WiFi, WiMax, PACS, CDMA...), theoretical research, lab implementation, field testing of cellular systems, and link/system level design. She has a PhD from Stanford University and a BS and MS from the Massachusetts Institute of Technology, all in Electrical Engineering. She held positions at Iospan Wireless, Sprint Corporation, Hughes Research Laboratories and AT&T Bell Laboratories prior to Intel.
Josep Torrellas
Josep Torrellas is a Professor at the Computer Science Department of the University of Illinois. His research area is shared-memory multiprocessor architectures and memory hierarchies. He has contributed with new multiprocessor organizations, processor-memory integration, thread-level speculation, chip multiprocessing, hardware reliability, support for software dependability, and low-power design. He currently leads the design of the Bulk Multicore, a novel architecture designed for programmability as part of Intel-Microsoft UPCRC, and coordinates the Illinois OpenSPARC Center of Excellence. Previously, he led the Illinois Aggressive COMA multiprocessor (I-ACOMA) and the FlexRAM Intelligent Memory System. He was also involved in the IBM PERCS multiprocessor project and the Stanford DASH and Illinois Cedar multiprocessors. Torrellas received a PhD from Stanford University. He received an NSF Young Investigator Award and many Best Paper Awards. He is an IEEE Fellow. He has graduated 27 Ph.D. students, now leaders in academia and industry
Valerie Taylor
Valerie E. Taylor is the holder of the Royce E. Wisenbaker Professorship and Department Head of the Department of Computer Science at Texas A&M University. Prior to joining TAMU in January 2003, she was a member of the faculty in the Electrical and Computer Engineering Department at Northwestern University for eleven years. Valerie Taylor earned her B.S. in Electrical and Computer Engineering and M.S. in Computer Engineering from Purdue University in 1985 and 1986, respectively, and a Ph.D. in Electrical Engineering and Computer Science from the University of California, Berkeley, in 1991. Her research interests are in the area high performance computing, with particular focus on performance analysis and predictions for parallel and distributed applications. She has authored or co-authored over 100 papers in these areas. Dr. Taylor has received numerous awards for distinguished research and leadership, including the 2002 IEEE Harriet B. Rigas Award for a woman with significant contributions in engineering education, the 2002 Outstanding Young Engineering Alumni from the University of California at Berkeley, the 2002 CRA Nico Habermann Award for increasing the diversity in computing, and the 2005 Tapia Achievement Award for Scientific Scholarship, Civic Science, and Diversifying Computing. Dr. Taylor is a member of ACM and Senior Member of IEEE-CS.
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