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.
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.
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.
B.S., Physics, Yale University, 1993.
M.S., Physics California Institute of Technology, 1995.
PhD., EE/Physics, California Institute of Technology, 1998.
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.
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.
Lee A. Newberg (2009) Error statistics of hidden Markov model and hidden Boltzmann model results. BMC Bioinformatics, 10, article 212. doi: 10.1186/1471-2105-10-212
Lee A. Newberg and Charles E. Lawrence (2009) Exact calculation of distributions on integers, with application to sequence alignment. Journal of Computational Biology, 16(1), 1-18. doi: 10.1089/cmb.2008.0137
Lee A. Newberg (2008) Significance of gapped sequence alignments. Journal of Computational Biology, 15(9), 1187-1194. doi: 10.1089/cmb.2008.0125
Lee A. Newberg (2008) Memory-efficient dynamic programming backtrace and pairwise local sequence alignment. Bioinformatics, 24(16), 1772-1778. doi: 10.1093/bioinformatics/btn308
Lee A. Newberg, William A. Thompson, Sean Conlan, Thomas M. Smith, Lee Ann McCue, and Charles E. Lawrence (2007) A phylogenetic Gibbs sampler that yields centroid solutions for cis regulatory site prediction. Bioinformatics, 23(14), 1718-1727. doi: 10.1093/bioinformatics/btm241