Computation & Information Technology

Sibel Adali
Name: Sibel Adali
Title:Associate Professor
Department Computer Science
School Science
Center Network Science and Technology Center (NeST)
Website:www.cs.rpi.edu
Bio Sibel Adali is an Assistant Professor in Rensselaer Polytechnic Institute, which she joined in 1996 after her PhD from University of Maryland. At RPI, she leads the Multimedia Information Integration Lab. Her research focuses on heterogeneous distributed information systems, database interoperability, query optimization, and multimedia information systems
Details
Education Ph.D. 1996, Computer Science Department, University of Maryland at College Park, USA B.S. 1991, Computer Engineering and Information Science Department , Bilkent University, Ankara, Turkey
Scholarly Works:
  • Sibel Adali, Brandeis Hill and M. Magdon-Ismail (October 2007). Information vs. Robustness in Rank Aggregation: Models, Algorithms and a Statistical Framework for Evaluation. Journal of Digital Information Management: Special Issue on Web Information Retrieval, 5(5), 292-307
  • Sibel Adali, Malik Magdon-Ismail and Brandeis Marshall (November 2007). A Classification Algorithm for Finding the Optimal Rank Aggregation Method. IEEE (pp.1 - 6). Ankara, Turkey: International Symposium on Computer and Information Sciences
Elliot I. Anshelevich
Name: Elliot I. Anshelevich
Title:Assistant Professor
Department Computer Science
School Science
Website:http://www.cs.rpi.edu/~eanshel/
Bio Elliot Anshelevich received his Ph.D. from Cornell University under the supervision of Jon Kleinberg in 2005. His research interests include network design problems, algorithmic game theory, local and decentralized routing algorithms, approximation algorithms, and information propagation in both social and computer networks. He is particularly interested in a range of problems defined on large decentralized networks, especially those involving strategic agents. Elliot lives in Troy, NY, where he has been a faculty member of the RPI CS department since 2006.
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Education Cornell University, Ithaca, New York, 2000-2005 Ph.D. Computer Science, August 2005 Thesis title: Design and Management of Networks with Strategic Agents Advisor: Jon Kleinberg Master of Science, May 2004 Rice University, Houston, Texas, 1996-2000 B.S. Computer Science, May 2000 Double major in Computer Science and Mathematics magna cum laude
Scholarly Works:
  • http://www.cs.rpi.edu/~eanshel/pubs.html
Kristin P Bennett
Name: Kristin P Bennett
Title:Professor
Department Computer Science Lally School of Management and Technology Mathematical Sciences
School Lally School of Management and Technology Engineering Science
Center Center for Biotechnology and Interdisciplinary Studies (CBIS) Data Science Research Center (DSRC) Rensselaer Exploratory Center for Cheminformatics Research (RECCR)
Website:http://homepages.rpi.edu/~bennek/
Bio Dr. Bennett
is an active researcher in the Mathematical Programming, Operations
Research, Machine Learning, Bioinformatics and Data Mining communities. She is
currently a Professor in the departments of Mathematical Sciences and Computer Science at Rensselaer. She founded and directs the NIH funded TB-Track Project which examines the molecular epidemiology of tuberculosis. She is co-PI of RPI's NSF Advance project for the advancement of women faculty at RPI and has expertise in gender issues and faculty advancement.
She was Program
Co-chair of the 2005 SIGKDD Knowledge Discovery and Data Mining
Conference. She has served as a program committee member of numerous conferences including
SIGKDD Knowledge Discovery and Data Mining Conference, AAAI
Conference, International Conference on Machine Learning, Neural
Information Processing Systems, IEEE Conference on Data Mining,
Computational Learning Theory, and SIAM International Conference on
Data Mining. She is a founding associate editor of ACM Transactions
on Knowledge Discovery and Data Mining. She has organized multiple
data mining and machine learning clusters at INFORMS meetings. She
is a former associate editor of Naval Research Logistics, Machine
Learning Journal, SIAM Journal of Optimization, and IEEE
Transactions on Neural Networks. She serves on the advisory board of
the Journal of Machine Learning Research. She has experience
developing data mining approaches for chemistry, biology, and public
health related applications. She is PI and director of a project of the NIH
funded project: Discovering Hidden Groups Across Tuberculosis
Patient and Pathogen Genotype Data. She has one patent for
database indexing to support data mining earned while she was a
visiting researcher at Microsoft Research. She received both the
Rensselaer and NSF Early Career Awards, as well as the Boeing
Distinguished Educator Award for Women and Minorities.
Details
Education Ph.D., University of Wisconsin, Madison, 1993
Scholarly Works:
  • J. Zaretzki, C. Bergeron, P. Rydberg, T.-W. Huang, K. P. Bennett, and C. Breneman, �RS-Predictor: A new tool for generating and validating models capable of predicting sites of cytochrome P450-mediated metabolism,�, Journal of Chemical Information and Modeling, to appear, 2011
  • G. Moore, C. Bergeron, and K. P. Bennett, �Model Selection for Primal SVM�, Machine Learning, to appear, 2011.
B. Wayne Bequette
Name: B. Wayne Bequette
Title:Professor
Department Chemical and Biological Engineering
School Engineering
Center Center for Automation Technologies and Systems (CATS) Center for Biotechnology and Interdisciplinary Studies (CBIS) Center for Fuel Cell and Hydrogen Research (CFCHR) Center for Future Energy Systems (CFES)
Website:http://homepages.rpi.edu/~bequeb/bwbres.html
Bio Dr. Bequette served as President of the American Automatic Control Council (AACC) in 2008-9, and currently serves as the AIChE CAST Division Programming Chair (2010-2013). He is a Fellow of the AIChE (May, 2008), was inducted into the Arkansas Academy of Chemical Engineers (April, 2007), received the Rensselaer School of Engineering Research Excellence Award (2008), and was named a Trustee of the CACHE Corporation (2010-2012).

Dr. Bequette is the author of Process Control: Modeling, Design and Simulation (2003) and Process Dynamics: Modeling, Analysis and Simulation (1998), both published by Prentice Hall. He served as the Guest Editor of Diabetes Technology and Therapeutics (February, 2005), and also edited special issues on Process Control for the IEEE Control Systems Magazine (August and December, 2006). He is a founding member of the editorial board of the Journal of Diabetes Science and Technology, and has co-edited a number of special issues on algorithms for sensors and a closed-loop artificial pancreas.
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Education 1980 B.S. Ch.E. University of Arkansas, Fayetteville 1985 M.S.E. University of Texas, Austin 1986 Ph.D. University of Texas, Austin
Scholarly Works:
  • Cameron, F., B.W. Bequette, D.M. Wilson, B.A. Buckingham, H. Lee and G. Niemeyer “A Closed-Loop Artificial Pancreas Based on Risk Management,” J. Diabetes Sci. Technol., 5(2), 368-379 (2011).
  • Kuure-Kinsey, M. and B.W. Bequette “A Multiple Model Predictive Control Strategy for Disturbance Rejection,” Ind. Eng. Chem. Res. 49(17), 7983-7989 (2010).
  • Dassau, E., F. Cameron, H. Lee, B.W. Bequette, H. Zisser, L. Jovanovic, H.P. Chase, D.M. Wilson, B.A. Buckingham and F.J. Doyle III. “Real-time Hypoglycemia Prediction Suite Using Continuous Glucose Monitoring: A safety net for the artificial pancreas,” Diabetes Care, 33(6), 1249-1254 (2010).
  • Buckingham, B, H.P. Chase, E. Dassau, E. Cobry, P. Clinton, V. Gage, K. Caswell, J. Wilkinson, F. Cameron, H. Lee, B.W. Bequette, F.J. Doyle III “Prevention of Nocturnal Hypoglycemia Using Predictive Alarm Algorithms and Insulin Pump Suspension,” Diabetes Care, 33(5), 1013-1018 (2010).
  • Bequette, B.W. Continuous Glucose Monitoring: Real-Time Algorithms for Calibration, Filtering and Alarms. J. Diabetes Science and Technology, 4(2), 404-418 (2010).
  • Bequette, B.W. Process Control: Modeling, Design and Simulation, Prentice Hall, Upper Saddle River, NJ (2003).
  • Bequette, B.W. Process Dynamics: Modeling, Analysis and Simulation, Prentice Hall, Upper Saddle River, NJ (1998).
Recognitions:
  • AIChE Fellow (May, 2008)
  • Arkansas Academy of Chemical Engineers (April, 2007)
  • Trustee of the CACHE Corporation (2010-2012)
  • Rensselaer School of Engineering Research Excellence Award (2008)
Francine Berman
Name: Francine Berman
Title:Vice President for Research & Professor of Computer Science
Department Computer Science
School Science
Website:http://www.cs.rpi.edu/~bermaf/
Bio Dr. Francine Berman is Vice President for Research and Professor of Computer Science at Rensselaer Polytechnic Institute. She is a Fellow of the Association of Computing Machinery (ACM) and Senior Member of the IEEE. In 2009, Dr. Berman was the inaugural recipient of the ACM/IEEE-CS Ken Kennedy Award for influential leadership in the design, development, and deployment of national-scale cyberinfrastructure.

Prior to joining Rensselaer, Dr. Berman was Professor in the UC San Diego Department of Computer Science and Engineering, and first holder of the High Performance Computing Endowed Chair in the Jacobs School of Engineering. From 2001 to 2009, Dr. Berman served as Director of the San Diego Supercomputer Center (SDSC) where she led a staff of 250+ interdisciplinary scientists, engineers, and technologists. Dr. Berman is one of the two founding Principal Investigators of the National Science Foundation's TeraGrid project, and also directed the National Partnership for Advanced Computational Infrastructure (NPACI), a consortium of 41 research groups, institutions, and university partners with the goal of building national infrastructure to support research and education in science and engineering.

Dr. Berman has served on a broad spectrum of national and international leadership groups and committees including the National Science Foundation's Engineering Advisory Committee, the National Institutes of Health's NIGMS Advisory Committee, the Anita Borg Institute for Women and Technology Board of Trustees, the National Academy of Sciences Board on Research Data and Information, and others. From 2007-2010, she served as co-Chair of the US-UK Blue Ribbon Task Force for Sustainable Digital Preservation and Access. Dr. Berman is currently Chair-Elect of the Information, Computing and Communication Section (Section T) of the American Association for the Advancement of Science (AAAS). For her accomplishments, leadership, and vision, Dr. Berman was recognized by the Library of Congress as a Digital Preservation Pioneer, as one of the top women in technology by BusinessWeek and Newsweek, and as one of the top technologists by IEEE Spectrum.
Details
Education Ph.D. in Mathematics from University of Washington; M.A. in Mathematics from University of Washington; B.A. in Mathematics from University of California, Los Angeles
Scholarly Works:
  • Berman, F., “Making Cyberinfrastructure in Research and Education Real,” Educause Review, vol. 43, no. 4 (July/August 2008).
  • Berman, F., “Got Data? A Guide to Data Preservation in the Information Age,” Communications of the ACM, December 2008.
  • Berman, F., Fox, G., and Hey. T., editors, Grid Computing: Making the Global Infrastructure a Reality”, 1st Edition, John Wiley and Sons, LTD, England, 2003.
  • Berman, F., Wolski, R., Casanova, H., Cirne, W., Dail, H., Faerman, M., Figueira, S., Hayes, J., Obertelli, G. Schopf, J., Shao, G., Smallen, S., Spring, N., Su, A. and Zagorodnov, D., “Adaptive Computing on the Grid Using AppLeS,” IEEE Transactions on Parallel and Distributed Systems, Vol. 14:4, 369-382, 2003.
  • Berman, F., "We Need a Data Census," Communications of the ACM, December 2010
  • Blue Ribbon Task Force on Sustainable Digital Preservation and Access (Berman is co-Chair), "Sustainable Economics for a Digital Planet: Ensuring Long-term Access to Digital Information". Final Report. 2010
Recognitions:
  • 2009 ACM/IEEE-CS Ken Kennedy Award
  • ACM Fellow (since 1999)
  • IEEE Senior Member (since 2005)
  • Named a "Digital Preservation Pioneer" by Library of Congress in 2008
  • IEEE Fellow (since 2010)
Nicholas L Cassimatis
Name: Nicholas L Cassimatis
Title:Associate Professor
Department Cognitive Science
School Humanities, Arts and Social Sciences
Website:http://www.cassimatis.com
Bio I received a bachelor's degree in mathematics form MIT and a master's degree in psychology from Stanford. I studied artificial intelligence in Marvin Minsky's group at the MIT Media Laboratory, where I received my Ph.D. I was then an NRC postdoctoral associate at the Naval Research Laboratory's AI Center for two years. I have been on the faculty of the Cognitive Science Department at Rensselaer since then.
Details
Scholarly Works:
  • Cassimatis, N. L., & Bignoli, P. (in press). Testing Common Sense Reasoning Abilities. Journal of Theoretical and Experimental Artificial Intelligence
  • Kurup, U, Bignoli, P., Scally, J. R., & Cassimatis, N. L. (in press). An Architectural Framework for Complex Cognition. Journal of Cognitive Systems Research.
Peter Fox
Name: Peter Fox
Title:Professor and Tetherless World Constellation Chair
Department Computer Science Earth and Environmental Sciences IT and Web Science
School Science
Center Data Science Research Center (DSRC)
Constellation Tetherless World
Website:http://tw.rpi.edu/web/Person/PeterFox
Bio Peter Fox is Tetherless World Constellation Chair and Professor of Earth and Environmental Science and Computer Science at Rensselaer Polytechnic Institute. Previously, he spent 17 years at the High Altitude Observatory of the National Center for Atmospheric Research as Chief Computational Scientist. Fox's research specializes in the fields of solar and solar-terrestrial physics, computational and computer science, information technology, and grid-enabled, distributed semantic data frameworks. This research utilizes state-of-the-art modeling techniques, internet-based technologies, including the semantic web, and applies them to large-scale distributed scientific repositories addressing the full life-cycle of data and information within specific science and engineering disciplines as well as among disciplines. Fox has spent over 25 years bridging science and distributed data and information systems to support community activities utilizing use case driven design. Fox is chair of the International Union of Geodesy and Geophysics Union Commission on Data and Information and past chair of the AGU Special Focus Group on Earth and Space Science Informatics, is an associate editor for the Earth Science Informatics journal, is a member of the editorial board for Computers in Geosciences. Fox serves on the International Council for Science's Strategic Coordinating Committee for Information and Data.


Details
Education B.Sc. (Hons I), Monash University, Mathematics Ph.D. Monash University, Mathematics
W. Randolph Franklin
Name: W. Randolph Franklin
Title:Professor
Department Electrical, Computer, and Systems Engineering
School Engineering
Website:http://wrfranklin.org/
Bio

Dr. Franklin has held visiting positions at UC Berkeley, the US Army Topographic Engineering Center, Ft Belvoir, the Dipartimento di Informatica e Scienze dell'Informazione, Universita di Genova, Italy, the Dept. de Science Geodesique, University of Laval, Quebec City, Canada, the Division of Information Technology, Commonwealth Scientific and Industrial Research Organization, Canberra, Australia, and the Institute of Systems Science, National Univer sity of Singapore. He also helped found two defunct hi-tech startups, Hudson Data Systems, and Attic Graphics, Inc. He is an incorporator and board member of the Institute for Infrastructure Asset Management.



Detailed info, including a resume, long bio, and research and teaching interests, is on his website. He welcomes questions.

Details
Education Ph.D. Applied Mathematics (Harvard University, 1978), A.M. Applied Mathematics (Harvard University, 1975), B.Sc. Computer Science (University of Toronto, 1973), 3 short courses from the Government Affairs Institute at Georgetown University, 2001-2002.
Juergen Hahn
Name: Juergen Hahn
Title:Professor
Department Biomedical Engineering Chemical and Biological Engineering
School Engineering
Center Center for Automation Technologies and Systems (CATS) Center for Biotechnology and Interdisciplinary Studies (CBIS)
Website:http://homepages.rpi.edu/~hahnj/group.html
Bio Juergen Hahn was born in Grevenbroich, Germany, in 1971. He received his diploma degree in engineering from RWTH Aachen, Germany, in 1997, and his MS and Ph.D. degrees in chemical engineering from the University of Texas, Austin, in 1998 and 2002, respectively. He was a post-doctoral researcher at the chair for process systems engineering at RWTH Aachen, Germany, before joining the department of chemical engineering at Texas A&M University, College Station, in 2003. He joined the Rensselaer Polytechnic Institute as a professor in 2012 and currently holds appointments in the department of biomedical engineering and the department of chemical & biological engineering. His research interests include systems biology and process modeling and analysis with over 60 articles and book chapters in print. Dr. Hahn is a recipient of a Fulbright scholarship (1995/96), received the Best Referee Award for 2004 from the Journal of Process Control, the CPC 7 Outstanding Contributed Paper Award in 2006, and was named the 2010 CAST Outstanding Young Researcher. He is currently serving as an associate editor for the journals Automatica, Control Engineering Practice, and the Journal of Process Control.
Details
Education
Ph.D.,University of Texas at Austin,  (2002)
M.S.,University of Texas at Austin,(1998)
Diploma,    RWTH Aachen, Germany, (1997)
Scholarly Works:
  • Z. Huang, C. Moya, A. Jayaraman, and J. Hahn. Using the Tet-On System to Develop a Procedure for Extracting Transcription Factor Activation Dynamics. Molecular BioSystems 6, No. 10, pp. 1883-1889 (2010)
  • C. Qu and J. Hahn. Computation of Arrival Cost for Moving Horizon Estimation via Unscented Kalman Filtering. Journal of Process Control 19, No. 2, pp. 358-363 (2009).
  • Z. Huang, F. Senocak, A. Jayaraman, and J. Hahn. Integrated Modeling and Experimental Approach for Determining Transcription Factor Profiles from Fluorescent Reporter Data. BMC Systems Biology 2:64 (2008).
  • Y. Chu and J. Hahn. Integrating Parameter Selection with Experimental Design under Uncertainty for Nonlinear Dynamic Systems. AIChE Journal 54, No. 9, pp. 2310-2320 (2008).
  • Y. Chu, A. Jayaraman, and J. Hahn. Parameter Sensitivity Analysis of IL-6 Signaling Pathways. IET Systems Biology 1, No. 6, pp. 342-352 (2007).
  • A.K. Singh and J. Hahn. Sensor Location for Stable Nonlinear Dynamic Systems: Multiple Sensor Case. Industrial & Engineering Chemistry Research 45, No. 10, pp. 3615-3623 (2006).
Recognitions:
  • Associate Editor, Journal of Process Control 2010-
  • Associate Editor, Automatica 2011-
  • Associate Editor, Control Engineering Practice 2007-

  • AIMBE Fellow, 2013
  • CAST Outstanding Young Researcher Award, 2010
  • Ray Nesbitt Development Professorship II, 2010
  • Keller Faculty Fellowship,2008
  • Brockett Professorship, 2008
  • CPC 7 Outstanding Contributed Paper Award, 2006
  • Outstanding Reviewer, Automatica, 2005, 2006, 2007
  • Best Referee Award, Journal of Process Control, 2004
  • William S. Livingston Graduate Fellowship, 2001
  • David Bruton, Jr. Graduate Fellowship, 2000
  • Springorum Medal, 1998
  • Fulbright Scholarship, 1995
Martin Hardwick
Name: Martin Hardwick
Title:Professor and Acting Head
Department Computer Science
School Science
Center Center for Automation Technologies and Systems (CATS)
Website:http://www.steptools.com/pressroom/profiles/hardwick.html
Bio As a specialist in data semantics for engineering applications, Dr. Hardwick has supervised ten Ph.D. students and numerous masters students. Dr. Hardwick joined RPI in 1989 as an Assistant Professor and has risen through the ranks to be a tenured Full Professor with more than 60 referred papers. Currently he is Acting Head of the department. He has won several NSF grants, was a principle investigator for the DARPA Initiative in Concurrent Engineering project, the National Industrial Information Infrastructure Protocols (NIIIP) project and the NIST ATP Model Driven Intelligent Control of Manufacturing project. Software written by Dr. Hardwick is included in the libraries of many Computer Aided Design and Manufacturing systems where it is used to read and write data defined by the ISO 10303 STEP standards. He received his bachelors and doctorate degrees from Bristol University in the UK.
Details
Education BSc. - Bristol University, UK, June 1978 Ph.D. - Bristol University, UK, June 1982
Scholarly Works:
  • M. Hardwick and D. Loffredo, “Challenges and Choices in the Specification and Implementation of the STEP-NC AP-238 Standard”, ACM/ASME Journal of Computing and Information Science in Engineering, Vol.7, No.3, September 2007.
  • M. Hardwick and D. Loffredo, “STEP-NC AP-238 Deployment”, International Journal of Computer Integrated Manufacturing, Vol. 19, No.6, September 2006.
  • M. Hardwick, “On STEP-NC and the Complexities of Product Data Integration”, ACM/ASME Journal of Computing and Information Science in Engineering, Vol.4, No.1, March 2004.
  • M. Hardwick, D. Spooner, T. Rando P. Denno and K. Morris, “Lessons Learned Developing Protocols for the Industrial Virtual Enterprise,” CAD Journal, January 2000.
  • M. Hardwick, D. Spooner, T. Rando and K. Morris, “Data Protocols for the Industrial Virtual Enterprise,” IEEE Internet Computing, Vol. 1, No. 1, January/February, 1997.
  • M. Hardwick, D. Spooner, T. Rando and K. Morris, “Sharing Manufacturing Information between Heterogeneous Corporations,” Communications of the ACM, Vol. 39, No. 2, February, 1996.
  • M. Hardwick and D. Spooner, "Comparison of Data Models for CAD Objects," Computer Graphics and Applications, editor L. Hatfield, IEEE Computer Society Press, March 1987, pp. 56-66.
  • M. Hardwick, "Why ROSE is Fast: Five Optimizations in the Design of an Experimental Database System for CAD/CAM Applications", Proceeding of the SIGMOD'87 International Conference, ACM Press, 1987.