The CRA-E Committee

HambruschSusanne Hambrusch

CRA-E Co-Chair
Professor, Department of Computer Science, Purdue University

Susanne Hambrusch’s research interests are in query and data management in mobile environments, computer science education, and design and analysis of algorithms. Susanne served as the Department Head at Purdue from 2002 to 2007. She has served on the board of directors of the Computing Research Association (CRA) and the CRA Committee on the Status of Women in Computing Research (CRA-W). From 2010 to 2013, Susanne served as the Director of the Computing and Communication Foundations (CCF) Division in the CISE Directorate at NSF. She successfully led the development of several new crosscutting programs and she worked tirelessly to increase the number of Graduate Research Fellowships for students pursuing CISE disciplines.

RanLibeskind-HadasRan Libeskind-Hadas

CRA-E Co-Chair
Professor and Department Chair, Department of Computer Science, Harvey Mudd College

Ran Libeskind-Hadas is a professor of computer science and department chair at Harvey Mudd College. His research interests are in the area of algorithms, optical networking, and computational biology. He also works in the development of innovative undergraduate curricula in computer science.

Libeskind-Hadas received the A.B. in applied mathematics from Harvard University and the M.S. and Ph.D. in computer science from the University of Illinois at Urbana-Champaign.

Eric AaronEric Aaron

Visiting Assistant Professor, Vassar College

Eric Aaron received the A.B. in mathematics from Princeton University and the M.S. and Ph.D. in computer science from Cornell University. He is currently a member of the Computer Science Department at Vassar College. His research interests focus on adaptive and responsive intelligence in dynamic environments, with applications ranging from robotics and autonomous agents to multi-disciplinary areas of cognitive science and biology. He is also involved in the computer science education community, including serving as an Associate Program Chair for the ACM SIGCSE conference.

Nancy AmatoNancy Amato

Professor, Department of Computer Science and Engineering, Texas A&M University

Nancy M. Amato is a professor of computer science and engineering at Texas A&M University where she co-directs the Parasol Lab and is chair of the university-level Alliance for Bioinformatics, Computational Biology, and Systems Biology.

Andrew BernatAndrew Bernat

Executive Director, CRA

Andrew Bernat was a founding member and chair of the Computer Science Department at the University of Texas at El Paso (spending 20 years there), NSF Program Director and is currently the Executive Director of the Computing Research Association. In 1997, he received CRA’s A. Nico Habermann Award. He has some 65 publications and (pre-CRA) over $5,000,000 in external funding.

Jeffrey ForbesJeffrey Forbes

Associate Professor of the Practice, Department of Computer Science, Duke University

Jeff Forbes is an Associate Professor of the Practice of Computer Science and an Associate Dean of Trinity College at Duke University. He received his B.S. and Ph.D. Degrees in Computer Science from Stanford University and the University of California, Berkeley, respectively. His research interests include computer science education, social information processing, and learning analytics.

Rajiv GandhiRajiv Gandhi / December 6, 2005 / Faculty/Staff Portraits Photo by Bob Laramie

Associate Professor, Department of Computer Science, Rutgers University-Camden

Dr. Rajiv Gandhi is an Associate Professor of computer science at the Rutgers University-Camden. He received his Ph.D. in computer science from the University of Maryland, College Park in 2003 and M.S. in computer science from Virginia Tech in 1994. He worked as a software engineer at Qualcomm from 1994-96. His research interests lie in the broad area of theoretical computer science. Specifically, he is interested in approximation algorithms, randomized algorithms, and distributed algorithms. He has been the recipient of teaching awards at Rutgers-Camden and at other universities. He also received the Chancellor’s award for Civic Engagement at Rutgers-Camden in 2013. He was a Fulbright fellow from Jan-June 2011, during which he worked with students in Mumbai. Since 2009, he has also been working with high school students as part of the Program in Discrete Mathematics and Computer Science.

Dan Grossman

Dan GrossmanProfessor, Department of Computer Science & Engineering, University of Washington

Dan Grossman is a Professor in the Department of Computer Science & Engineering at the University of Washington where he has been a faculty member since 2003. He holds the J. Ray Bowen Professorship for Innovation in Engineering Education. He is his department’s Associate Chair for Education.  Dan currently serves on the CRA Board and the ACM Education Board.

Dan completed his Ph.D. at Cornell University in 2003 and his undergraduate studies at Rice University in 1997. His research interests lie in the area of programming languages, ranging from theory to design to implementation.

Dan is the instructor for a popular MOOC on undergraduate topics in programming languages and functional programming.

Dan has never had a cavity.

Lori PollockLori Pollock

Professor of Computer and Information Sciences, University of Delaware

Lori Pollock earned her Ph.D. and M.S. in Computer Science at the University of Pittsburgh in 1986 and 1983, respectively, and her B.S. in Computer Science and Economics at Allegheny College in 1981. Her research currently focuses on program analysis for building better software maintenance tools, optimizing compilers for modern computer architectures, and software testing.

Dr. Pollock has actively worked for improving the participation of women and other underrepresented groups in computer science for many years. She was awarded the University of Delaware’s E. A. Trabant Award for Women’s Equity in 2004 and serves on the Executive Board of the Computing Research Association’s Committee on the Status of Women in Computing (CRA-W).

Enrico PontelliEnrico Pontelli, enrico-pontelliRegents Professor, Department of Computer Science, New Mexico State University

Regents Professor, Department of Computer Science, New Mexico State University

Enrico Pontelli received a Laurea in Computer Science in 1991 from University of Udine, a Master in Computer Science in 1992 from University of Houston, and a Ph.D. in Computer Science in 1997 from New Mexico State University. He joined the faculty at NMSU in 1997.  He served as Head of the Computer Science Department (2009-2014) and he is currently an Associate Dean in the College of Arts & Sciences at NMSU.

His research interests are in the areas of knowledge representation, high performance computing, assistive technologies, bioinformatics, and computer science education, with particular emphasis on broadening participation to women and other underrepresented groups.

Barbara RyderBarbara Ryder

J. Byron Maupin Professor of Engineering, Department of Computer Science, Virginia Tech

Barbara Ryder received her A.B. degree in Applied Mathematics from Brown University (1969), her Masters degree in Computer Science from Stanford University (1971) and her Ph.D. degree in Computer Science at Rutgers University (1982). Dr. Ryder served on the faculty of Rutgers from 1982-2008. She also worked in the 1970s at AT&T Bell Laboratories in Murray Hill, NJ. Dr. Ryder’s research interests on static and dynamic program analyses for object-oriented systems, focus on usage in practical software tools for ensuring the quality and security of industrial-strength applications. Dr. Ryder is an active advocate for women in computing. She is a founding organizer of the NCWIT Regional VA/DC Aspirations for Women Awards and served as co-chair in 2014-2015 and 2012-2013. She also has served as executive champion for her department in the NCWIT Pacesetters Program since 2009.

The CRA-E Graduate Fellows

Keith Feldman
keith_feldman

CRA-E Graduate Fellow

Keith Feldman is a Ph.D. student in the Department of Computer Science and Engineering at the University of Notre Dame, where he also received his B.S. His research centers on the application of data mining and machine learning methodologies to problems in the healthcare domain, with a particular interest on the utilization of such techniques to improve the quality and effectiveness of patient care. His current work focuses on both ends of the healthcare informatics spectrum. On one end, developing analytical models for the advancement of personalized care, while on the other, investigating technology’s role in addressing community-based health and wellness problems.

Max Grossman
Max Grossman

CRA-E Graduate Fellow

Max Grossman is a graduate student in the Rice University Department of Computer Science with a research focus in Parallel and Distributed Computing, working under Professor Vivek Sarkar in the Habanero Extreme Scale Software Research Group. His research focuses on schedulers, programming models, tools, and applications for heterogeneous and distributed systems.