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PEOPLE:

 

Danny Bobrow
  • community knowledge sharing systems
  • natural language-based, broad-coverage system for question answering
  • over 100 published papers, books, and issued patents
  • President of AAAI; Editor-in-chief, Artificial Intelligence; ACM and AAAI fellow

 

Lara Crawford
  • design of state-of-the-art control, planning, and optimization algorithms for real physical systems
  • interface between planning and control, control and coordination of large-scale distributed systems
  • manufacturing systems, energy systems
  • Ph.D. in Biophysics & M.S. in Electrical Engineering, U.C. Berkeley; A.B. in Physics, Harvard

 

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

 

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

 

Alexander Feldman
  • model-based diagnosis, artificial intelligence, and cyber-physical systems
  • over 40 publications in leading conference proceedings and international journals
  • Ph.D. in Computer Science and M.Sc. in Parallel and Distributed Computer Systems, Delft University of Technology

 

Matthew Klenk
  • qualitative reasoning, machine learning, planning, intelligent agents, spatial reasoning
  • worked in U.S. Naval Research Laboratory
  • Ph.D., Northwestern University EECS

 

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

 

Rui Maranhão
  • research focuses on statistical and probabilistic techniques for testing and automatic fault localization of software intensive systems, as well as self-adapting to runtime failures. 
  • applying diagnostic and predictive techniques to other domains, such as healthcare and HVAC. 
  • P.h.D. Delft University of Technology, the Netherlands;  Software Technology Master Course, University of Utrecht, the Netherlands; Systems and Computer Science, University of Minho, Portugal

 

Conny Marx
Conny Marx
Senior Director of Business Development

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  • focus on commercializing PARC’s technology in areas of Network Distributed Systems and Digital Design & Manufacturing
  • more than 25 years of international experience in both traditional and high tech industries
  • Diplom-Wirtschaftsingenieur from Hochschule für Technik in Esslingen, Germany.

 

Ion Matei
  • modeling, analysis, and design of dynamical systems
  • reliability and diagnosis studies for cyber-physical systems, developing failure mechanisms models for physical components
  • B.S. and M.S., Electrical Engineering, Politehnica University of Bucharest Romania; M.S. and Ph.D. in Electrical Engineering, University of Maryland, College Park

 

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

 

Ajay Raghavan
  • Manages the ACES area, focused on systems health and condition management technologies
  • Interests span sensing, modeling, diagnostics, and prognostics
  • PI on ARPA-E AMPED SENSOR project on fiber optic battery management systems
  • Ph.D., M.S., Aerospace Engineering, University of Michigan, Ann Arbor; B.S., Mechanical Engineering, IIT Bombay 

 

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

 

 

 

Parham Shahidi
Parham Shahidi
Research Scientist

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  • research focus on artificial intelligence for cyber-physical systems and predictive analytics systems for safety-sensitive applications
  • active contributor to professional organizations including ASME, VDI, JVC and the PHM Society; received the 2015 Best Technical Paper Applied award of the Prognostics and Health Management Society
  • Ph.D., Mechanical Engineering, Virginia Tech; B.S., Mechanical & Process Engineering, TU Darmstadt, Germany

 

Antonio Williams
  • manages PARC’s collaboration with Xerox on printing-related research.
  • 14  issued patents with several others pending
  • Ph.D. and M.S. in Mechanical Engineering from the University of Rochester; B.S. from Cornell University