Network Science and Technology Center (NeST)

Alhussein Abouzeid
Name: Alhussein Abouzeid
Title:Associate Professor
Department Electrical, Computer, and Systems Engineering
School Engineering
Center Network Science and Technology Center (NeST)
Website:http://www.ecse.rpi.edu/Homepages/abouzeid/
Details
Education Ph.D., University of Washington, Electrical Engineering M.S., University of Washington, Electrical Engineering B.S., Cairo University,Electronics and Communication Engineering
Scholarly Works:
  • Zhenzhen Ye, A.A. Abouzeid, and Jing Ai. Optimal policies for distributed data aggregation in wireless sensor networks. In Proceedings IEEE INFOCOM 2007, pages 1675 - 83, Anchorage, AK, USA, 2007
  • Di Wang and A.A. Abouzeid. Link state routing overhead in mobile ad hoc networks: a rate-distortion formulation. In Proceedings IEEE INFOCOM 2008, pages 2011 - 19, Phoenix, AZ, USA, 2008
Recognitions:
  • NSF CAREER award,February 2006
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
Jim Hendler
Name: Jim Hendler
Title:Sr. Constellation Prof. of Tetherless World Res. Constellation
Department Cognitive Science Computer Science IT and Web Science
School Science
Center Experimental Media and Performance Arts Center (EMPAC) Network Science and Technology Center (NeST)
Constellation Tetherless World
Website:http://www.cs.rpi.edu/~hendler
Bio James Hendler is the Tetherless World Professor of Computer and Cognitive Science, and the Assistant Dean for Information Technology and Web Science, at Rensselaer. He is also a faculty affiliate of the Experimental Multimedia Performing Arts Center (EMPAC), serves as a Director of the UK’s charitable Web Science Trust and is a visiting Professor at the Institute of Creative Technology at DeMontfort University in Leicester, UK. Hendler has authored about 200 technical papers in the areas of Semantic Web, artificial intelligence, agent-based computing and high performance processing. One of the inventors of the “Semantic Web,” Hendler was the recipient of a 1995 Fulbright Foundation Fellowship, is a member of the US Air Force Science Advisory Board, and is a Fellow of the American Association for Artificial Intelligence, the British Computer Society and the IEEE. He is also the former Chief Scientist of the Information Systems Office at the US Defense Advanced Research Projects Agency (DARPA) and was awarded a US Air Force Exceptional Civilian Service Medal in 2002. He is the Editor-in-Chief emeritus of IEEE Intelligent Systems and is the first computer scientist to serve on the Board of Reviewing Editors for Science. In 2010, Hendler was named an “Internet Web Expert” by the US government.
Details
Education PhD Computer Science, Brown Univ, 1986.
Recognitions:
  • Fellow AAAS, BCS, IEEE
Gyorgy Korniss
Name: Gyorgy Korniss
Title:Associate Professor
Department Physics, Applied Physics & Astronomy
School Science
Center Network Science and Technology Center (NeST)
Website:http://homepages.rpi.edu/~korniss/
Details
Education 1993-1997 Ph.D. in Physics, Virginia Polytechnic Institute and State University
Malik Magdon-Ismail
Name: Malik Magdon-Ismail
Title:Professor
Department Computer Science
School Science
Center Data Science Research Center (DSRC) Network Science and Technology Center (NeST)
Website:http://www.cs.rpi.edu/~magdon
Bio After degrees at Yale and Caltech, Dr. Magdon-Ismail was a research scholar at Caltech before joining Rensselaer as Assistant Professor of Computer Science in 2000. His interests are in decision making from data in complex systems, including machine learning, computational finance and social and communication networks. He enjoys poker, bridge, squash, tennis and badminton.

For a full bio and more details, please visit his web page.
Details
Education B.S., Physics, Yale University, 1993. M.S., Physics California Institute of Technology, 1995. PhD., EE/Physics, California Institute of Technology, 1998.
Scholarly Works:
  • Malik Magdon-Ismail, "Permutation Complexity Bound on Out-Sample Error", Proc. 24th Annual Conference on Neural Information Processing Systems (NIPS), 2010.
  • Costas Busch, Malik Magdon-Ismail "Atomic Routing Games on Maximum Congestion", Theoretical Computer Science, Volume 410, Issue 36, Pages 3337-3347, 2009.
  • Malik Magdon-Ismail, Konstantin Mertsalov, "A Permutation Approach to Validation", Proc. 10th SIAM International Conference on Data Mining (SDM), pages 882-983, Columbus Ohio, April 29-May 1, 2010.
  • Sanmay Das, Malik Magdon-Ismail, "Collective Wisdom: Information Growth in Wikis and Blogs", ACM Conference on E-Commerce (EC 2010), pages 231-240, June 7-8 , Cambridge Massachusetts, 2010.
  • Costas Busch, Malik Magdon-Ismail, Marios Mavronicolas, "Universal Bufferless Packet Switching", Siam Journal on Computing, Volume 37, Issue 4, pages 1139-1162, 2007.
  • Malik Magdon-Ismail, and Joseph Sill "A Linear Fit Gets the Correct Monotonicity Directions", Machine Learning, Volume 70, Number 1 / January, 2008, pages 21-43.
  • Volkan Isler, Malik Magdon-Ismail "Sensor Selection in Arbitrary Dimension", IEEE Transactions on Automation Science and Engineering (TASE), Vol. 5, No. 4, pages 651-660, 2008.
  • Ali Civril, Malik Magdon-Ismail "On Selecting a Maximum Volume Sub-Matrix of a Matrix and Related Problems", Theoretical Computer Science, 2009.
  • Nathan Cole, Heidi Joe Newberg, Malik Magdon-Ismail, Travis Desell, Kristopher Dawsey, Warren Hayashi, Xinyang (Fred) Liu, Jonathan Purnell, Boleslaw Szymanski, Carlos Varela, James Wisniewski, "Maximum Likelihood Fitting of Tidal Streams with application to the Sagittarius Dwarf Tidal Tails", the Astrophysical Journal, Vol 683, pages 750-766 (2008).
  • Jeffery Baumes, Mark Goldberg, Mykola Hayvonovych, Malik Magdon-Ismail, William Wallace, Mohammed Zaki, "Finding Hidden Group Structure in a Stream of Communications", [Top 3 Paper Award], Proceedings of the 4th Symposium on Intelligence and Security Informatics (ISI 06), San Diego, CA, May 23-24 2006.
Bolek Szymanski
Name: Bolek Szymanski
Title:Claire & Roland Schmitt Distinguished Prof. of Computer Science
Department Computer Science
School Science
Center Network Science and Technology Center (NeST)
Website:http://www.cs.rpi.edu/~szymansk/index.php
Bio Dr. Boleslaw K. Szymanski is the Claire and Roland Schmitt Distinguished Professor at the Department of Computer Science and the Director of the ARL Social and Cognitive Networks Academic Research Center at the Rensselaer Polytechnic Institute. He received his Ph.D. in Computer Science from National Academy of Sciences in Warsaw, Poland, in 1976. Dr. Szymanski published over three hundreds scientific articles and is the Editor-in-Chief of Scientific Programming. He is a foreign member of the National Academy of Science in Poland, an IEEE Fellow and a member of the IEEE Computer Society, and Association for Computing Machinery for which he was National Lecturer. He received the Wiley Distinguished Faculty Award in 2003 and the Wilkes Medal of British Computer Society in 2009. His research interests cover the broad area of distributed and parallel computer systems and algorithms with current focus on wireless and sensor networks. See also Wikipedia at http://en.wikipedia.org/wiki/Boleslaw_Szymanski



see
http://www.cs.rpi.edu/~szymansk/files/B.K.Szymanski-Vitae.pdf
Details
Education M.Sc. (Electronics) – Faculty of Electronics and Information Technology, Warsaw University of Technology, Warsaw, Poland, 1973; Ph.D. (Computer Science) – The Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland, 1976 Postdoc (Computer Science) - University of Aberdeen, U.K., 1979.
Scholarly Works:
  • see http://www.cs.rpi.edu/~szymansk/papers.php
Recognitions:
  • Foreign member, National Academy of Science in Poland
  • IEEE Fellow
  • ACM National Lecturer
  • Wilkes Medal of British Computer Society
  • Wiley Distinguished Faculty Award
Carlos A Varela
Name: Carlos A Varela
Title:Associate Professor
Department Computer Science
School Science
Center Data Science Research Center (DSRC) Network Science and Technology Center (NeST)
Website:http://www.cs.rpi.edu/~cvarela/
Bio Dr. Carlos A. Varela received his B.S. with honors, M.S., and Ph.D. in Computer Science at the University of Illinois at Urbana-Champaign. Dr. Varela is Associate Editor and Information Director of the ACM Computing Surveys journal, and has served as Guest Editor of the Scientific Programming journal. Dr. Varela is a recipient of several research grants including the NSF CAREER award, two IBM SUR awards, and two IBM Innovation awards. His current research interests include web-based and internet-based computing, middleware for adaptive distributed systems, concurrent programming models and languages, and software development environments and tools. For more information on Prof. Varela's group's research, please visit the Worldwide Computing Lab at http://wcl.cs.rpi.edu/
Details
Education Dr. Carlos A. Varela received his B.S. with honors, M.S., and Ph.D. in Computer Science at the University of Illinois at Urbana-Champaign.
Scholarly Works:
  • Carlos Varela and Gul Agha. Programming Dynamically Reconfigurable Open Systems with SALSA. ACM SIGPLAN Notices. OOPSLA'2001 Intriguing Technology Track Proceedings, 36(12):20-34, December 2001.
  • J. Field and C. Varela. Transactors: A Programming Model for Maintaining Globally Consistent Distributed State in Unreliable Environments. In ACM Conference on Principles of Programming Languages (POPL 2005), Long Beach, CA, pages 195-208, January 2005.
  • Kaoutar El Maghraoui, Travis J. Desell, Boleslaw K. Szymanski, and Carlos A. Varela. The Internet Operating System: Middleware for Adaptive Distributed Computing. International Journal of High Performance Computing Applications (IJHPCA), Special Issue on Scheduling Techniques for Large-Scale Distributed Platforms, 20(4):467-480, 2006.
  • Carlos A. Varela. Programming Distributed Computing Systems: A Foundational Approach. MIT Press, 2012.
  • All publications available at: http://wcl.cs.rpi.edu/bib/Author/VARELA-CA.html
Recognitions:
  • NSF CAREER Award 2005
  • IBM Innovation Awards 2004, 2003
  • ACM Computing Surveys Associate Editor, 2007-Present
  • IEEE e-Science Best Paper (Finalist) Award, 2007
  • IEEE CC-Grid Best Paper Award (Nomination), 2007
  • IEEE HPDC HPC-GECO Best Paper Award, 2006
  • ACM/IEEE CCGrid Program Chair, 2011
William Wallace
Name: William Wallace
Title:Yamada Corporation Professor
Department Civil and Environmental Engineering Industrial and Systems Engineering
School Architecture
Center Center for Infrastructure, Transportation, and the Environment (CITE) Network Science and Technology Center (NeST)
Website:http://www.dses.rpi.edu/people/faculty.cfm?facultyID=wallaw
Bio His research interests are generally in:

Analytical Approaches to Emergency Management: Research focuses on the development of models for disaster management, including transportation of hazardous materials. Investigating the development of Decision logic for crisis management.
The Process of Modeling: The acquiring of an expert's judgment and experience and its subsequent codification in a form amenable to representation by a complex model is the objective of this research. Present work is concerned with (i) designing an automated means of support for this process, (ii) the use of visual, both 2D and 3D, and (iii) studying ways and acquiring knowledge about the usual or exceptional occurrence.

On-going research includes Decision Support for Group Improvisation; the development and assessment of a blackboard architecture for supporting improvisation by emergency response teams supported by NSF, Visualization and the Process of Modeling (with Professor Willemain) supported by NSF; Trust and Knowledge Management: The Develop and Implementation of Graph-Theoretic Models for the Assessment of Trust in Sources of Knowledge -- supported by NSF. The Impact of the World Trade Center Attack on Critical Infrastructure Interdependencies, supported by NSF, and Wireless Advanced Travelers Information Systems, supported by FHA and NYSDoT.
Details
Education Ph.D., Rensselaer Polytechnic Institute
Recognitions:
  • Yamada Corporation Professor at Rensselaer Polytechnic Institute
  • Excellence in Research Award, SoE
  • INFORMS President's Award
  • Fellow, IEEE
  • DSES Faculty Award for Excellence
  • IEEE Third Millennium Medal, Engineering Management Society
  • Best Student Paper (with R.G. Arunasalam, J.T. Richie, W. Regan, and O. Gur-Ali), Portland International Conference on Management and Engineering and Technology
  • Del and Ruth Karger Dissertation Prize, DSES
  • International Emergency Management and Engineering Conference Award
  • Horwood Critique Prize for Outstanding Paper, Urban and Regional Information Systems Association Conference
  • Outstanding Case Award, Rand Graduate Institute/Duke University Public Policy Curricular Materials Development Program
Mohammed J. Zaki
Name: Mohammed J. Zaki
Title:Professor
Department Computer Science
School Science
Center Center for Biotechnology and Interdisciplinary Studies (CBIS) Network Science and Technology Center (NeST) Rensselaer Exploratory Center for Cheminformatics Research (RECCR)
Website:http://www.cs.rpi.edu/~zaki/
Bio Mohammed J. Zaki is a Professor of Computer Science at RPI. He received his Ph.D. degree in computer science from the University of Rochester in 1998. His research interests focus on developing novel data mining techniques, especially in bioinformatics. He has published over 200 papers and book-chapters on data mining and bioinformatics. We was the founding co-chair for the BIOKDD series of workshops. He is currently an Executive Editor for Statistical Analysis and Data Mining, and an Associate Editor for Data Mining and Knowledge Discovery, ACM Transactions on Knowledge Discovery from Data, Knowledge and Information Systems, ACM Transactions on Intelligent Systems and Technology, Social Networks and Mining, and International Journal of Knowledge Discovery in Bioinformatics. He was the program co-chair for SDM'08, SIGKDD'09 and PAKDD'10. He received the National Science Foundation CAREER Award in 2001 and the Department of Energy Early Career Principal Investigator Award in 2002. He also received the ACM Recognition of Service Award in 2003 & 2009, and an IEEE Certificate of Appreciation in 2005. He received the HP Labs Innovation Award in 2010. He is a Senior Member of IEEE, and was recently designated as an ACM Distinguished Scientist.
Details
Education B.S., Computer Science and Mathematics (dual), May 1993, Angelo State University, San Angelo, Texas M.S., Computer Science, May 1995, University of Rochester, Rochester, New York Ph.D., Computer Science, July 1998, University of Rochester, Rochester, New York
Scholarly Works:
  • Mohammed J. Zaki, Naren Ramakrishnan, Lizhuang Zhao, Mining Frequent Boolean Expressions: Application to Gene Expression and Regulatory Modeling, International Journal of Knowledge Discovery in Bioinformatics, Jason T.L. Wang (ed.), 2010 (accepted, to appear)
  • Hilmi Yildirim, Vineet Chaoji, Mohammed J. Zaki, GRAIL: Scalable Reachability Index for Large Graphs, Proceedings of the VLDB Endowment, Vol3 ̇, No1 ̇, pp mm-nn, 2010 (Proceed- ings of the 36th International Conference on Very Large Data Bases, Singapore, September 2010).
  • Karam Gouda, Mosab Hassaan, Mohammed J. Zaki, PRISM: An Effective Approach for Frequent Sequence Mining via Prime-Block Encoding, Journal of Computer and Systems Sciences, special issue on Intelligent Data Analysis, Radim Belohlavek and Rudolph Kruse (eds.), Vol. 76, No. 1, pp 88-102, February 2010.
  • Saeed Salem, Mohammed J. Zaki and Chris Bystroff, FlexSnap: Flexible Non-Sequential Pro- tein Structure Alignment, Algorithms in Molecular Biology, Vol. 5, Article 12, 2010.
  • Mohammed J. Zaki, Christopher D. Carothers, and Boleslaw K. Szymanski, VOGUE: A Vari- able Order Hidden Markov Model with Duration based on Frequent Sequence Mining, ACM Transactions on Knowledge Discovery in Data, Vol. 4, No. 1, Article 5, January 2010.
  • Vineet Chaoji, Mohammad Hasan, Saeed Salem, and Mohammed J. Zaki, SPARCL: An Ef- fective and Efficient Algorithm for Mining Arbitrary Shape-based Clusters, Knowledge and Information Systems, invited as one of the best papers of IEEE Int’l Conference on Data Mining (ICDM’08), Vol. 21, No. 2, pp 201-229, November 2009.
  • Mohammad Al Hasan, Mohammed J. Zaki, Output Space Sampling for Graph Patterns, Pro- ceedings of the VLDB Endowment, Vol2 ̇, No1 ̇, pp 730-741, 2009 (Proceedings of the 35th International Conference on Very Large Data Bases, Lyon, France, August 2009).
  • Saeed Salem, Mohammed J. Zaki and Chris Bystroff, Iterative Non-Sequential Protein Struc- tural Alignment, Journal of Bioinformatics and Computational Biology, special issue on the best of CSB’08, Ying Xu and Peter Markstein (eds.), Vol. 7, No. 3, pp 571-596, June 2009.
  • Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Mohammed J. Zaki, An integrated, generic approach to pattern mining: data mining template library, Data Mining and Knowledge Discovery, Vol. 17, No. 3, pp. 457-495, December 2008.
  • Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Jeremy Besson, Mohammed J. Zaki, ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Pat- terns, Statistical Analysis and Data Mining, Vol. 1, Issue 2, pp. 67-84, (DOI: 10.1002/sam.10004) June 2008.
Recognitions:
  • HP Labs Innovation Award, 2010.
  • ACM Distinguished Scientist, 2010-present.
  • ACM SIGKDD PhD Dissertation Award for my student Mohammad Al Hasan, 2010.
  • Program Co-chair, 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Hy- derabad, India, June 2010.
  • Senior Member, IEEE, 2010-present.
  • Program Co-chair, 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, August 2009.
  • Association of Computing Machinery (ACM) Recognition of Service Award, 2009.
  • Best Paper Award, 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Bangkok, Thailand, April 2009.
  • IEEE Computer Society, Certificate of Appreciation, 2005.
  • Association of Computing Machinery (ACM) Recognition of Service Award, 2003.
  • DOE Office of Science Early Career Principal Investigator Award in Applied Mathematics, Computer Science and High-Performance Networks, 2002.
  • NSF Faculty Early Development Award (CAREER Award), 2001.