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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

 

Greg Burton

  • controls, robotics, planning
  • data visualization, CAD and solid modeling, GPU accelerated algorithms
  • was research engineer at Lockheed Martin Space Systems Company's Advanced Technology Center
  • M.S., Mechatronics and Control, U.C. Berkeley; B.S., Mechanical Engineering, U.C. San Diego

 

Tim Curley
Tim Curley
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

 

Christian Fritz
  • applies AI planning & KR to real-world problems
  • semantic workflows, cognitive robotics, ubicomp
  • specializes highly dynamic, open-world environments
  • Ph.D., University of Toronto

 

 

Leilani Gilpin
  • research interests include algorithms, machine learning, network and systems analysis, and computational geometry
  • currently working on fraud analysis and anomaly detection in healthcare
  • M.S., Computational and Mathematical Engineering, Stanford University; B.S. in Computer Science and in Mathematics (with honors) and a music minor, UC San Diego

 

Bo Hu
  • business process optimization, predictive and prescriptive analytics, and behavioral economics application
  • Ph.D., Business Administration, University of Rochester, M.S., Management, Tsukuba University, B.E., Applied Economics, Xi'an Jiaotong University

 

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

 

Linxia Liao
  • predictive and prescriptive analytics; system and components fault diagnostics and prognostics; signal processing; and machine learning algorithms
  • developing device fleet health management solutions for intelligent transportation systems
  • Ph.D., Industrial Engineering, University of Cincinnati; M.S. and B.S., Mechanical Science and Engineering, Huazhong University of Science and Technology (HUST) in China
  • one issued patent and seven pending patents

 

Rui Maranhão
Rui Maranhão
Applied Research Scientist

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  • 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

 

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

 

 

 

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