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Tim Curley
Tim Curley
Senior Director of Business Development

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  • focusing on drug delivery, contextual intelligence, and more
  • develops commercial partnerships and creates routes to revenue opportunities
  • developed partner and go-to-market strategies for startup and Fortune 1000 companies
  • MBA, Strategy, Pepperdine University


Dan Davies
  • software optimization in commercialization of research
  • novel technologies in context of traditional AI problems and data mining
  • 18 patents
  • Ph.D. and M.S. in Electrical Engineering from Stanford University; B.S. in Engineering from John Hopkins University


Johan de Kleer
  • PARC Research Fellow and leads the Model-based Reasoning area
  • co-invented the field of Qualitative Reasoning;  invented the Assumption-based Truth Maintenance System (ATMS) and the field of model-based diagnosis
  • 19 patents; over 100 published papers and co-authored three books
  • Recipient of the "Lifetime Achievement Award" at the 25th International Workshop on Principles of Diagnosis and Computers and the "Computers and Thought Award" at the International Joint Conference on Artificial Intelligence
  • Ph.D., Artificial Intelligence EECS and S.M., Computer Science EECS, Massachusetts Institute of Technology; B.Sc. (Honors), Mathematics and Computer Science, University of British Columbia, Canada


Filip Dvorak
  • working on new planning approaches for energy control and mobility
  • 7 years of independent research experience in artificial intelligence planning, machine learning and big data
  • 13 conference publications and 1 journal
  • Ph.D., M.S., RNDr. and B.S. at Charles University, Prague


John Hanley
  • modeling complex business processes for decision support system
  • relevance-based document retrieval from personal library
  • usability of large software systems
  • M.S., Software Engineering, Carnegie Mellon University


Tolga Kurtoglu
Tolga Kurtoglu
Vice President, Director of System Sciences Lab (SSL)

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  • Vice President, System Sciences Lab (SSL)
  • Directs research programs in artificial intelligence, machine learning, control, planning, optimization, and high performance analytics for cyber-physical systems
  • Leading business development, strategy, execution, and technology commercialization for a portfolio of product and service offerings
  • previously at NASA Ames Research Center and Dell Corporation
  • PhD, UT Austin, MS, Carnegie Mellon University, Mechanical Engineering


Saigopal Nelaturi


  • intelligent automation, digital manufacturing, geometric modeling, computational design, robotics, spatial computing
  • applications included reconfigurable manufacturing, spatial planning, non-destructive inspection
  • Ph.D., M.S., Mechanical Engineering, University of Wisconsin-Madison; M.Sc., Manufacturing, University of Bath, U.K.




Bob Price
  • inference, tracking, learning, and planning applications for government and industry clients
  • model-based control on a system for improving the diagnostic information generated from automatically constructed plans; machine learning of rules to diagnose problems in printing engines from fault code sequences; and optimization of power loads on aircraft to minimize power and cost and maximize utility
  • Ph.D. in Computer Science from the University of British Columbia


Bhaskar Saha



  • applies Bayesian inference techniques to classification, state estimation, and prediction problems
  • intelligent system design and health management
  • former scientist at NASA Ames Research Center's Prognostics Center of Excellence
  • formulated metrics for evaluating performance of prognostic algorithms
  • Ph.D., M.S., EECS, Georgia Institute of Technology; B.Tech, Indian Institute of Technology




Rong Zhou
  • manages High-performance Analytics area 
  • interests include artificial intelligence; high-performance analytics; machine learning; parallel model checking
  • holds 21 US patents; 14 international patents in the areas of parallel algorithms, planning and scheduling, disk-based search and diagnosis