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Scholarly Interest Report
         
Devika Subramanian
Professor
Professor of Computer Science and Electrical and Computer Engineering
 
e-mail:devika@rice.edu
 
  • B.Tech. Electrical Engineering and Computer Science (1982) Indian Institute of Technology, Kharagpur
  • M.S. Computer Science (1984) Stanford University
  • Ph.D. Computer Science (1989) Stanford University
 
Primary Department
   Department of Computer Science
Picture
 
Department Affiliations
 
  • Center for Multimedia Communication
  • Department of Electrical and Computer Engineering
  • Keck Center for Quantitative Biomedical Sciences
  • Ken Kennedy Institute for Information Technology
  •  
    Websites
     Subramanian Lab: Computational Biomedicine
     Departmental home page
     
    Research Areas
     Statistical machine learning, artificial intelligence, hurricane risk modeling, mortality prediction and prediction of hospital readmissions, computational biology, data mining, adaptive compilation, computational neuroscience, cognitive science, mobile robotics
     
    Devika Subramanian
     Devika Subramanian's research is aimed at the design and analysis of resource-bounded systems that adapt and learn from experience. With
    Stuart Russell of UC Berkeley, she wrote the first paper defining the area of bounded optimality, i.e., what it means for an agent to make
    the "best" use of scarce resources. Her work centers on several applications designed to push the science of adaptive systems. Her current projects are in three main areas: computational biology, conflict forecasting, and adaptive compilers. With scientists at the M.D. Anderson Cancer Center and Baylor College of Medicine, she is reverse-engineering metabolic networks from gene expression data in cancer cells, reconstructing signal transduction networks in
    granulocyte differentiation in AML and CML from flow cytometry data, and identifying multi-locus genetic markers from genotype-phenotype association data. With support from an NSF ITR, and in collaboration with Dr. Richard Stoll of Rice University, she is developing a system
    for predicting outbreaks of conflict in the Middle East based on temporal analysis of newswire stories from the region. With support from an NSF ITR and in collaboration with Professors Cooper and Torczon of Rice University's Scalar Compiler Group, she is designing learning algorithms that help compilers customize their optimization
    strategies to specific programs.

    Her past projects include: designing an adaptive outdoor tour guide for the Rice campus (funded by Rice Engineering), reinforcement learning for non-stationary environments and applications to network routing (funded by Southwestern Bell), designing adaptive control systems for the Mars Bioplex (funded by NASA), designing experimentation strategies for protein crystallography (funded by NIH), adaptive compilers for power-sensitive applications (funded by Darpa and the Texas Advanced Technology Program), automating the conceptual design of opto-mechanical systems from specifications of
    behavior (funded by NSF), and dynamically learning models of humans acquiring a complex visualmotor task (funded by ONR).

     
    Teaching Areas
     Artificial intelligence, machine learning, computational thinking
     
    Selected Publications
     Abstracts
     

    Computational education for scientists and engineers -- a position paper, Workshop on
    Computational Education for Scientists, Microsoft Research, Redmond WA, 2007.

     
     

    Serum protein fingerprints can accurately distinguish patients with colorectal cancer from

    patients with benign colonic pathology, Gut 2008;57(S1):A149 (with V. Subramanian, S.

    Krishna, M. Farthing, R. Pollok).

     
     

    Serum protein fingerprints can accurately distinguish patients with inammatory bowel disease from patients with clinically relevant differential diagnosis, Gut 2007;56(S3):A66 (with V. Subramanian, C. Evans, D. Kumar, S. Krishna, R. Pollok).

     
     

    Serum protein signatures determined by mass spectrometry (SELDI-ToF) can accurately

    distinguish Crohns disease from ulcerative colitis, Gut 2007:56,A120-121 (with V. Subra-

    manian, S. Krishna, M. Farthing, R. Pollok).

     
     

    Serum protein signatures determined by mass spectrometry (SELDI-ToF) accurately identifies patients with inflammatory bowel disease, Gut 2006:55(S2),A82, 2006 (with V. Subramanian, S. Krishna, D. Agranoff and R. Pollok).

     
     

    Serum protein signatures determined by mass spectrometry (SELDI-ToF) accurately identifies patients with inflammatory bowel disease by support vector machines with linear kernels, Gastroenterology 130:4(S2),385, 2006 (with V. Subramanian, S. Krishna, D. Agranoff, R. Pollok).

     
     Refereed articles
     

    Building and validating geographically re ned hurricane wind risk models for residential struc-
    tures, Natural Hazards Review, 10.1061/(ASCE)NH.1527-6996.0000130 (Sep. 12, 2013) (with J.
    Salazar, J., L. Duenas-Osorio, and R. Stein)

     
     

    How risk perceptions influence evacuations from hurricanes and compliance with government directives, Policy Studies Journal 2013, 41(2):319-342, (with R. Stein, B. Buzcu-Guven, L. Dueas-Osorio, and D. Kahle)

     
     

     Model-averaging strategies for structure learning in Bayesian networks with limited data, BMC Bioinformatics, 13 (Suppl 13); 2012 (with B. M. Broom and K. A. Do).

     
     

     Graph-based signal integration for patient discovery, BMC Bioinformatics, 13 (Suppl 13); 2012 (with J. R. Herskovic, T. Cohen, P. A. Bozzo-Silva, C. F. Bearden, E. V. Bernstam).

     
     

    New predictive models of heart failure mortality using time-series measurements and ensemble models, Circulation: Heart Failure, 4(4):456-62, 2011 (with V. Subramanian, A. Deswal, and D.Mann)

     
     

    MEDRank: using graph-based concept ranking to index biomedical texts, Int J Med Inform. 2011, 80(6):431-41. (with J. R. Herskovic, T. Cohen, M. S. Iyengar, J. W. Smith and E. V. Bernstam).

     
     

    Interface network models for complex urban infrastructure systems, ASCE Journal of Infrastructure Systems, 17(4); 2011 (with J. Winkler, L. Dueñas-Osorio, R. Stein).

     
     

    Engineering-Based Hurricane Risk Estimates and Comparison to Perceived Risks in Storm-Prone Areas, ASCE Natural Hazards Review, 13(1); 2011 (with L. Dueñas-Osorio, B. Buzcu-Guven, R. Stein).

     
     

    New components of the Dictyostelium PKA pathway revealed by Bayesian analysis of transcriptional profiling data, BMC Bioinformatics 11:163, 2010 (with A. Parikh, E. Huang, C. Dinh,
    B. Zupan, A. Kuspa, G. Shaulsky).

     
     

    Structural Organization of Functional Networks from EEG Signals during Motor Learning
    Tasks. I. J. Bifurcation and Chaos 20(3): 905-912, 2010. (with Fabrizio de Vico Fallani,
    Farhan Baluch, Laura Astol ,George Zouridakis, and Fabio Babiloni).

     
     

    Performance assessment of topologically diverse power systems subjected to hurricane
    events, Reliability Engineering and System Safety, 95(4):323-336, 2010 (with L. Duenas-
    Osorio, J. Winkler and R. Stein).

     
     

    Who evacuates when disaster approaches: the role of risk, information and location,
    Social Science Quarterly 91:3, 2010. (with L. Duenas-Osorio and R. Stein).

     
     

    Learning robust cell signaling models from high throughput proteomic data, in the Inter-
    national Journal of Bioinformatics Research and Applications 5(3), 2009. (with M. Koch and B. Broom)

     
     

    Socially relevant computing, ACM SIGCSE Bulletin, 40(1):347-351, 2008. (with M. Buckley and J. Nordlinger).

     
     

    Predicting altered pathways using extendable scaffolds, in International Journal of Bioinformatics Research and Applications 2(1):3-18, 2006. (with B. M. Broom, T. J. McDonnell)

     
     

    Four way street? Saudi Arabia's behavior among the superpowers, 1966-1999, The Energy Dimension in Russian Global Strategy, published by the Petroleum Energy Center of Japan and the James A. Baker III Institute for Public Policy, 2004 (with R. Stoll).

     
     

    Random 3-SAT: the plot thickens, in Constraints 8(3): 243-261, 2003 (with M. Vardi, D.

    Demopolous, A. San Miguel Aguirre, C. Coarfa).

     
     

    A compositional theory of opto-mechanical synthesis, Research in Engineering Design,

    13(4): 183-198,  2002 (with R. Goldman).

     
     

    Adaptive optimizing compilers for the 21st century, Journal of Supercomputing, 23:(1),

    7-22, 2002 (with K. Cooper and L. Torczon).

     
     

    Statistical methods for the objective design of screening procedures for macromolecular

    crystallization, Acta Crystallographica D 56:817-827, 2000 (with J. Rosenberg, B. G.

    Buchanan, D. Hennessey, P. Wilkocz).

     
     

    Information retrieval, information structure and information agents, in ACM Transactions

    on Information Systems, 15:(1), 67-101, 1997 (with D. Rus).

     
     

    The relevance of relevance, Artificial Intelligence,  97(1-2):1-5, 1997 (with R. Greiner

    and J. Pearl).

     
     

    The Common-Order Theoretic Properties of Version Spaces and ATMSs, Artificial Intelligence, 95(2):357-407, 1997 (with C. Gunter, T. Ngair).

     
     

    Customizing multimedia information access, in ACM Computing Surveys (special issue

    on multimedia systems), 27(4):627-629, 1995 (with D. Rus).

     
     

    Shift of vocabulary bias in speedup learning, in Machine Learning, 20:155-191, 1995.

     
     

    Kinematic Synthesis with Configuration Spaces, in Research in Engineering Design, 7:193-

    213, 1995 (with E. Wang).

     
     

    Provably bounded optimal agents, in Journal of Artificial Intelligence Research, 2:575-609,

    1995 (with S.J. Russell).

     
     

    A multistrategy learning scheme for knowledge assimilation in embedded agents, in Informatica,17:8-

    15, 1993 (with D. Gordon).

     
     Articles
     

    AI Theory and Practice: a discussion of the hard challenges and opportunities ahead,
    AI Magazine, October 2010. (with E. Horvitz, L. Getoor, C. Guestrin, J. Hendler, H.
    Kautz, J. Konstan and M. Wellman).

     
     Book chapters
     

    Computational methods for learning Bayesian networks from high-throughput biological data, in  Bayesian Inference for Gene Expression and proteomics, edited by K.A. Do and P. M. Mueller and M. Vanucci, Cambridge University Press, 2006 (with B. Broom).

     
     

    Events, patterns and analysis: forecasting international conict in the twenty- rst cen-

    tury, in Programming for Peace: Computer-aided Methods for International Conflict

    Resolution and Prevention, Robert Trappl ed.), Springer NY, pp 145-160, 2006 (with R.

    Stoll).

     
     

    Information retrieval, information structure and information agents, in Intelligent Hyper-
    text, Lecture Notes in Computer Science  1326, C. Nicholas and J. Mayfield (eds),
    1997 (with D. Rus).

     
     

    Sets as anti-chains, in Lecture Notes in Computer Science 1179, Springer 1996 (with T. Ngair and C. Gunter).

     
     

    On provably RALPHs (rational agents with limited performance hardware), in Computational Learning and Cognition, Eric Baum (ed), SIAM Press, pp 197-216, 1992 (with S. Russell).

     
     

    A theory of justified reformulations, in Change of Representation and Inductive Bias,
    Paul Benjamin (ed), Kluwer Academic Press, pp 147-168, 1990.

     
     

    Mutual constraints on representation and inference, in Research on Machine Learning, Meta Logics and Inference, Pavel Brazdil (ed), Kluwer Academic Press, pp 85-106, 1989 (with S.J. Russell).

     
     Refereed conference papers
     

    Building and validating geographically refined hurricane risk-models for residential structures, Proc. ATC-SEI Advances in Hurricane Engineering Conference, October 2012. (with J. Salazar, L. Duenas-Osorio and R. Stein)

     
     

    Model-averaging strategies for structure learning in Bayesian networks with limited data (extended abstract), in Proc. BIOT 2011, (with B. M. Broom and K. A. Do).

     
     

    Graph-based signal integration for patient diagnosis discovery (extended abstract), Proc. BIOT 2011, (with J. R. Herskovic, T. Cohen, P. A. Bozzo-Silva, C. F. Bearden, E. V. Bernstam).

     
     

    Human Learning and the Neural Correlates of Strategy Formulation, Proc IEEE

    SMC 2007, San Antonio, TX. (with F. Baluch, G. Zouridakis G, I. Stevenson).

     
     

    A Search-Based Approach for Bayesian Inference of the T-cell Signaling Network, in Proc. BIOT 2007 (with M. Koch and B. Broom).

     
     

    Long-range gamma-band synchronization during learning of a complex visuomotor task,

    Proc. IEEE Neural Engineering, 2007 (with G. Zouridakis, F. Baluch, I. Stevenson and

    J. Diaz).

     
     

    Spatiotemporal Profiles of Brain Activation During Learning and Strategy Formulation, in

    Proc. 6th International Symposium on Noninvasive Functional Source Imaging of Brain

    and Heart & International Conference on Functional Biomedical Imaging, Hangzhou,

    China,  2007 (with G. Zouridakis, F. Baluch, I. Stevenson and J. Diaz).

     
     

    A new local search algorithm for effective exploration of compilation sequences, in Proc. SMART 2007 (with Y. Guo, K. Cooper and L. Torczon).

     
     

    Predicting altered pathways using extendable scaffolds, in Proc. BIOT 2005 (with B. Broom and T. McDonnell).

     
     

    Hubs, authorities and networks: predicting conflict from events data, Proc. ISA 2006 (with R. Stoll).

     
     

    ACME: Adaptive Compilation Made Efficient, in Proc LACSI 2005 (with K. D. Cooper, A. Grosul, T. J. Harvey,  S. Reeves, L. Torczon and T. Waterman).

     
     

    Computer generated events data from online sources: some assembly required, in Proc.
    Annual Meetings of the International Studies Association 2004 (with
    R. Stoll).

     
     

    Exploring the structure of compilation sequences using randomized search algorithms, in Proc LACSI 2004 (with K. D. Cooper, A. Grosul, T. J. Harvey, S. Reeves, L. Torczon and T. Waterman).

     
     

    Events, patterns and analysis: forecasting conflict in the twenty-first century, Proceedings
    of the National Conference on Digital Government Research, The Digital Government
    Research Center, pp 19-20, 2003. (with R. Stoll)

     
     

    Events, patterns and analysis: forecasting international conflict in the 21st century, Workshop on Computer-Aided Methods for International Conflict Resolution. Austrian Research Institute for Artificial Intelligence, 2002 (with R. Stoll).

     
     

    Robust localization methods for an autonomous campus tour guide, International Con-
    ference on Robotics and Automation, 2001, (with R. Thrapp and C. Westbrook).

     
     

    Adaptive Optimizing Compilers for the 21st Century, in Proc. LACSI 2001 (with K. Cooper, L. Torczon).

     
     

    Inducing hybrid models of learning from visualmotor data, in Proceedings of 22nd Annual
    Conference of the Cognitive Science Society, 2000.

     
     

    Machine learning techniques for designing life support systems, in Proceedings of IEEE
    Aerospace, 2000 (with P. Bonasso and D. Kortenkamp).

     
     

    Random 3-SAT: the plot thickens, in Proceedings of the International Conference on
    Constraint Programming, 2000 (with M. Vardi, D. Demopolous, A. San Miguel Aguirre,
    C. Coarfa).

     
     

    A new approach to routing using dynamic metrics, in INFOCOM, 1999. (with P. Druschel

    and J. Chen).

     
     

    Optimizing for reduced code space using genetic algorithms, ACM SIGPLAN Workshop
    on Languages, Compilers, and Tools for Embedded Systems (LCTES),  1999,
    (Proceedings will appear as an issue of SIGPLAN Notices) (with P. Schielke and K. D.
    Cooper).

     
     

    Modeling individual differences in the ONR Navigation task, Proc. Cognitive Science, 1998 (with D. Gordon and S. Marshall).

     
     

    An efficient multi-path forwarding method, in Proc. INFOCOM 1998 (with P. Druschel and J. Chen).

     
     

    A cognitive model of learning to navigate, Proc. Cognitive Science 1997 (with D. Gordon).

     
     

    Cognitive modeling of action selection learning, in Proc. Cognitive Science 1997 (with D. Gordon).

     
     

    Ants and reinforcement learning: a case study in routing in dynamic networks in Proc. IJCAI 1997 (with P. Druschel and J. Chen).

     
     

    Sets as anti-chains, in Proc. ASIAN 1996, (with C. Gunter and T. Ngair).

     
     

    Comparison of action selection learning methods, in Proceedings of the 3rd International
    Workshop on Multistrategy Learning, pp 95-102, 1996 (with D.
    Gordon).

     
     

    Modular architectures for information agents, Proceedings of the AAAI Spring Symposium, pp 79-86, March 1994 (with D. Rus).

     
     

    Intelligent tools for conceptual design and simulation of opto-electro-mechanical devices,

    Proceedings of the NSF Design and Manufacturing Grantees Conference, ASME Press,

     1994 (with E. Wang).

     
     

    Induction of rules for biological macromolecule crystallization, Proceedings of the 2nd In-
    ternational Conference on Intelligent Systems for Molecular Biology, Stanford University,
    AAAI Press, pp 179-187, 1994 (with J. Rosenberg, B. Buchanan, V. Gopalakrishnan, D.
    Hennessy).

     
     

    The Crystallographer's Assistant, in Proc. AAAI 1994 (with V. Gopalakrishnan, D. Hennessey and B. Buchanan).

     
     

    A multi-strategy approach to assimilating advice, in Proc. 2nd International Workshop on multi-strategy learning 1993 (with D. Gordon).

     
     

    Information agents for multi-media environments, Proceedings of the Workshop on Hypermedia at the ACM Conference on Information and Knowledge Management, pp 1-5,
    1993 (with D. Rus).

     
     

    Multi-media RISSC informatics: retrieving information with simple structural components, Proceedings of the ACM Conference on Information and Knowledge Management,
    ACM Press, pp 283-294, 1993 (with D. Rus).

     
     

    Artificial intelligence and conceptual design, in Proc. IJCAI 1993.

     
     

    Issues in the design of provably good, distribution-sensitive, speedup learning algorithms,
    Proceedings of the International Machine Learning Workshop on Knowledge Compilation
    and Speedup Learning, pp 147-154, 1993.

     
     

    Constraint-based kinematic synthesis, Proceedings of the 7th International Workshop on
    Qualitative Reasoning about Physical Systems, pp 228-239, 1993 (with E. Wang).

     
     

    Constructing bounded optimal systems, Proceedings of the AAAI Spring Symposium on
    AI approaches to NP-hard problems, pp 144-148, 1993 (with S. Russell).

     
     

    Provably bounded optimal agents, Proceedings of International Joint Conference on Artificial Intelligence, pp 338-344, 1993 (with S. Russell and R. Parr).

     
     

    Knowledge compilation and speed-up learning, Proceedings of the International Machine
    Learning Workshop on Knowledge Compilation and Speed-up Learning, pp 3-5, 1992
    (with P. Tadepalli and D. Fisher).

     
     

    Estimating utility and the design of provably good EBL algorithms, Proceedings of the
    9th International Conference on Machine Learning, pp 426-435, 1992 (with S. Hunter).

     
     

    Estimating utility and the design of provably good EBL algorithms (extended abstract),
    Proceedings of AAAI Spring Symposium on Knowledge Assimilation, pp 131-140, 1992
    (with S. Hunter).

     
     

    The computational impact of biases in learning, Proceedings of the International Machine
    Learning Workshop on Inductive Biases, pp 5-15, 1992 (with S. Hunter).

     
     

    The common order-theoretic properties of version spaces and ATMSs, Proceedings of
    AAAI 1991, pp 500-505, July 1991 (with C. Gunter, T. Ngair, P. Pannangaden).

     
     

    Abstractions and approximations: some challenges, Proceedings of the AAAI Workshop
    on the Automatic Generation of Abstractions and Approximations, pp 7-8, 1990.

     
     

    Subjective ontologies, Proceedings of the AAAI Spring Symposium on Planning and Learning in Uncertain, Unpredictable Environments, pp 130-135, 1990, (with J.Woodfill).

     
     

    The utility of EBL in recursive domain theories, Proceedings of AAAI, pp 942-949, 1990
    (with R. Feldman).

     
     

    A theory of justified reformulations, Proceedings of the 7th International Machine Learning Workshops, pp 434-438, June 1989.

     
     

    Representational issues in machine learning, Proceedings of the 7th International Machine
    Learning Workshops, pp 426-429, June 1989.

     
     

    Making situation calculus indexical (extended abstract), Proceedings of the AAAI Spring
    Symposium on Limited Rationality, pp 101-105, 1989, (with J. Woodfill).

     
     

    Making situation calculus indexical, Proceedings of the First International Conference on Principles of Knowledge Representation and Reasoning, pp 467-474, 1989, (with J. Woodfill).

     
     

    Knowledge level learning: an alternative view, Proceedings of the AAAI Spring Sympo-
    sium on Explanation Based Learning, pp 196-200, 1988 (with D.E. Smith).

     
     

    Mutual constraints on representation and inference, Proceedings of the International
    Workshop on Machine Learning, Meta-Logics and Inference, pp 167-182, 1988 (with S.J.
    Russell).

     
     

    The relevance of irrelevance, Proceedings of the International Joint Conference on Artificial Intelligence, pp 416-422, 1987 (with M.R. Genesereth).

     
     

    Factorization in Experiment Generation, Proceedings of AAAI, pp 518-522, 1986 (with
    J. Feigenbaum).

     
     

    Reformulation, Proceedings of the AAAI/SIGARTWorkshop on Knowledge Compilation, pp 119-121, 1986 (with M.R. Genesereth).

     
     Other
     

    Early results for automated event coding using conditional random fields, Technical Report, Department of Computer Science, Rice University, 2006 (with A. Stepinski).

     
     

    Tracking the Evolution of Learning on a Visualmotor Task, Technical report, Department of Computer Science, Rice University, 2006 (with S. Siriguri).

     
     

    Compilation Order Matters, Technical Report, Department of Computer Science, Rice University, 2003 (with K. Cooper, L. Torczon, and T. Harvey).

     
     

    Predicting Protein-Ligand Interactions from Primary Structure, Technical Report, Department of Computer Science, Rice University, 2002 (with R. Bandyopadhyay, K. Matthews, and X.X. Tan).

     
     

    Tracking Evolution of Policies in a Visualmotor Task, Technical Report, Department of Computer Science, Rice University, 2002 (with S. Siriguri).

     
     

    A Simple Practical Distributed Multipath Routing Algorithm, Technical Report, Department of Computer Science, Rice University 1998 (with J. Chen and P. Druschel).

     
     

    An Experiment Evaluation of List Scheduling, Technical Report, Department of Computer Science, Rice University, 1998 (with P. Schielke, K. Cooper).

     
    Creative Works
     Other - The Houston Storm Risk Calculator: SRC 1.0
     http://houstonstormrisk.org,
     
     Other - The Houston Storm Risk Calculator
     http://risk.rtsnets.com,
     
    Presentations
     Invited Papers
     

    Building and validating geographically refined hurricane wind risk models for residential structures, ATC-SEI Advances in Hurricane Engineering Conference; 2012.

     
     Invited Talks
     

    "Building predictive models in biology from big data, presentation at MD Anderson Cancer Center to the Department of Personalized Medicine, Fall 2013.."

     
     

    "Art, design and computation." Contemporary Arts Museum, Houston. (April 2008)

     
     

    "Computational Education for Scientists and Engineers: A Curriculum Proposal." Workshop on Computational Education for Scientists and Engineers, Microsoft Research, Redmond WA. (July 2008)

     
     

    "Learning Bayesian network models of metabolic and signaling networks from gene expression and proteomic data." ICAM Evolutionary Design Principles of Biological Networks, Rice University. (December 2008)

     
     

    "Learning Bayesian network models of metabolic and signaling networks from gene expression and proteomic data." Colloquium on Modeling and Analysis of Biological Networks, University of Houston/M.D.Anderson Cancer Center. (May 2008)

     
     

    "Socially relevant computing." Microsoft Research Faculty Summit, Redmond WA. (July 2008)

     
     

    "Adaptive systems and their application to society." School of Information Science, University of Texas Health Sciences Center, Texas. (September 2007)

     
     

    "Computational Education for Scientists and Engineers." Workshop on Computational Education for Scientists, Microsoft Research, (September 2007)

     
     

    "Social computing." Workshop on Social Computing, Microsoft Research, (July 2007)

     
     

    "Socially relevant applications of adaptive embedded systems." Grace Hopper Conference, (October 2007)

     
     

    "Socially relevant applications of machine learning." International Joint Conference on Artificial Intelligence (IJCAI), (January 2007)

     
     

    "Embedded Adaptive Systems." Max Planck Institute for Software Systems, Saarbrucken, Germany, (July 2006)

     
     

    "Emebedded Adaptive Systems." Microsoft Research, (March 2006)

     
     

    "Socially relevant applications of machine learning." International Joint Conference on Artificial Intelligence, Hyderabad, India. (January 2007)

     
     Lectures
     

    "Building predictive models using statistical machine learning, invited lecture, Tapia Center at Rice University, 2013.."

     
     

    "Computational thinking." Rice University CS Industrial Affiliates Program, Rice University. (October 2008)

     
     

    "Socially relevant computing." SIGCSE 2008, Portland, Oregon. (March 2008) With J. Nordlinger and M. Buckley

     
     

    "Computers and Learning." Computer Science Computing and Mentoring Partnership, Rice University, Houston, Texas. (June 2003)

     
     

    "Evolutionary Computation." Sciantia Lecture, Rice University, Houston, Texas. (2003)

     
     

    "Evolutionary Computation." Industrial Forum Lecture, Rice University, Houston, Texas. (October 2003)

     
     Other
     

    "Robust Localization Algorithms for an Outdoor Mobile Robot." International Conference on Robotics and Automation, (May 2001)

     
     

    "Tracking the Evolution of Learning in a Visualmotor Task." (Invited lecture) Office of Naval Research, (November 2001)

     
     

    "Inducing Hybrid Models of Learning in the NRL Navigation Task." Cogsci 2000, Philadelphia, Pennsylvania. (August 2000)

     
     

    "Progress in Learning the NRL Navigation Task." ONR Workshop, Rice University, Houston, Texas. (August 2000)

     
     

    "Random 3-SAT: The Plot Thickens." CP 2000, Singapore. (September 2000)

     
     

    "A Study of Individual Differences in the ONR Navigation Task." Conference on Cognitive Science, Madison, Wisconsin. (July 1998)

     
     

    "Learning the NRL Navigation Task." ONR Hybrid Learning PI Meeting, Houston, Texas. (December 1998)

     
     Panelist
     

    "Key challenges and opportunities in artificial intelligence." Microsoft Research Faculty Summit, Redmond WA. (July 2008)

     
     Seminar Speaker
     

    "Learning Bayesian network models of signaling from proteomic data." Keck Seminar Series, Rice University. (October 2008)

     
    Editorial Positions
     Editor for Special Issue, Artificial Intelligence. (1997 - 1997)

     Member of the Editorial Board, Journal of AI Research. (2001 - 2001)

     Member of the Editorial Board, Journal of AI Research. (1999 - 1999)

     Member of the Editorial Board, Journal of AI Research. (1997 - 1997)

     Member of the Editorial Board, Journal of AI Research. (2000 - 2000)

    Supervised Theses & Dissertations
     Mohit Aron, Master of Science Analysis of TCP Performance over ATM Networks. (1997) (Thesis Committee Member)

     Gaurav Banga, Master of Science The Design and Implementation of a New Network Subsystems Architecture for Server Systems. (1998) (Thesis Committee Member)

     J. Chen, PhD Improving network performance by dynamic and multi-path routing. (1999) (Thesis Co-Director)

     Timothy Parker, Master of Science I/O-Oriented Applications on a Software Distributed-Shared Memory Systems. (1999) (Thesis Committee Member)

     Johnny Chen, Doctor of Philosophy New Approaches to Routing for large-Scale Data Networks. (1999) (Thesis Committee Member)

     Phil Schielke, PhD Stochastic techniques for instruction scheduling. (1999) (Thesis Co-Director)

     Philip J. Schielke, Doctor of Philosophy Stochastic Instruction Scheduling. (2000) (Thesis Committee Member)

     Christopher Holleman, Master of Science Path Planning with Medial Axis Hints. (2000) (Thesis Committee Member)

     Jingsong He, Master of Science Cluster Assignment and Instruction Scheduling for Partitioned Register-Set Machines. (2000) (Thesis Committee Member)

     S. Siruguri, M.S. Tracking the evolution of learning in visualmotor tasks. (2001) (Thesis Director)

     Rajarshi Bandyopadhyay, Master of Science Predicting protein-protein interactions from primary structure. (2002) (Thesis Director)

     Spiridon Tsavachidis, Master of Science Eliminating Incoherence from Subjective Estimates of Chance. (2003) (Thesis Committee Member)

     Guoqiang Pan, Master of Science BDD-Based Decision Procedures for Modal Logic K. (2003) (Thesis Committee Member)

     Brian Chen, Master of Science Structural Pattern Matching for Functional Annotation of Proteins. (2003) (Thesis Committee Member)

     Konstantinos Bekris, Master of Science Reactive Range-free Landmark Navigation without Scene Reconstruction. (2004) (Thesis Committee Member)

     Banjamin McMahan, Master of Science Structural Heuristics for Query Optimization. (2004) (Thesis Committee Member)

     Xiaoxu Wang, Master of Science Analysis on the Assignment Landscape of 3-SAT Problems. (2005) (Thesis Committee Member)

     Khoa To, Master of Science Location-Aided Routing in Intermittently Connected Networks. (2005) (Thesis Committee Member)

     Alexander Grosul, PhD Adaptive ordering of code transformations in an optimizing compiler. (2005) (Thesis Co-Director)

     Deian Tabakov, Master of Science Experimental Evaluation of Explicit and Symbolic Automata-Theoretic Algorithms. (2005) (Thesis Committee Member)

     Alexander Grosul, Doctor of Philosophy Adaptive Ordering of Code Transformations in an Optimizing Compiler. (2005) (Thesis Committee Member)

     Derek A. Ruths, Master of Science Applications of Phylogenetic Incongruence to Detecting and Reconstructing Interspecific Recombination and Horizontal Gene Transfer. (2005) (Thesis Director)

     Guoqiang Pan, Doctor of Philosophy Complexity and Structural Heuristics for Propositional and Quantified Satisfiability. (2006) (Thesis Committee Member)

     David M. Peixotto, Master of Science Tuning a Priority-Based Register Allocator Using Adaptive Compilation. (2007) (Thesis Committee Member)

     Cuong V. Than, Master of Science Reconstruction of Phylogenetic Networks and Their Relationships with Trees and Branches. (2008) (Thesis Committee Member)

     Lanyue Lu, M.S. E.E. Workload shaping for QoS and power efficiency of storage systems. (2009) (Thesis Committee Member)

     Anup Parikh, Ph.D. Bayesian network analysis of the Dictyostelium PKA pathway. (2009) (Thesis Committee Member)

     Seth James Nielson, Doctor of Philosophy Designing Incentives for Peer-to-Peer Systems. (2010) (Thesis Committee Member)

     Siqi Zhao, M.S. Detecting events from twitter in real-time. (2012) (Thesis Committee Member)

     Robert Likimwa, M.S. MoodScope: Building a Mood Sensor from Smartphone Usage Patterns. (2012) (Thesis Committee Member)

     Bryan Bue, Ph.D. Adaptive Similarity Measures for Material Identification in Hyperspectral Imagery. (2012) (Thesis Committee Member)

    Awards, Prizes, & Fellowships
     Invited speaker, Empowering Leadership Alliance, Rice University,

     Invited Plenary Speaker, Heart Failure Society of America, Heart Failure Soceity of America (September 2009)

     Member, Advisory Board, External Relations and Programs, Microsoft Corp., (2008)

     Invited Plenary Speaker, International Joint Conference on Artificial Intelligence, IJCAI (January 2007)

     Invited Speaker, Grace Hopper Conference, (2007)

     Member, Advisory Board, External Relations and Programs, Microsoft Corp., (2007)

     Member, Advisory Board, External Relations and Programs, Microsoft Corp., Microsoft Research (2006-)

     Member of Editorial Board, Journal of AI Research, Journal of AI Research (1997 to 2001)

     Invited Lectureship, Computing Research Association, Computing Research Association (2002)

     Invited Speaker, Navy Center for Research in Artificial Intelligence, Naval Research Laboratories (2001)

     Advisory Board, International Joint Conference on Artificial Intelligence, IJCAI (2001)

     Julia Miles Chance Prize for Excellence in Teaching, Rice University (2000)

     Co-Program Chair, Annual Conference of the American Association for Artificial Intelligence, American Association for Artificial Intelligence (1999)

     DMP Mentor, Computing Research Association, Computing Research Association (1999)

     Editor, Special Issue on Relevance for Artificial Intelligence Journal, Artificial Intelligence Journal (1997)

     DMP Mentor, Computing Research Association, Computing Research Association (1997)

     DMP Mentor, Computing Research Association, Computing Research Association (1996)

     Merrill Outstanding Educator Award, Cornell University, Cornell University (1993)

     Invited Plenary Speaker, International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence (1993)

     IRCS Invited Lectureship, University of Pennsylvania, Institute for Research in Cognitive Science, University of Pennsylvania (1992)

     Merrill Outstanding Educator Award, Cornell University, Merrill Presidential Scholar Program, Cornell University (1993 and 1991)

     George Forsythe Memorial Award for Excellence in Teaching, Stanford University, Stanford University (1986)

     IBM Doctoral Fellowship, Stanford University, IBM (1985 to 1988)

     President of India Gold Medal, Indian Institute of Technology, Indian Institute of Technology (1982)