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Morad Behandish
  • computational design; geometric modeling and computing; kinematics and spatial reasoning; human-computer interaction; protein engineering
  • functional and analytic methods for computer-aided design and manufacturing; interoperability; conceptual design; digital automation
  • postdoc on interoperability at ICSI (affiliated with UC Berkeley); Ph.D., Mechanical Engineering, UConn; M.Sc., Computer Science and Engineering, UConn; B.Sc., Mechanical Engineering, University of Tehran.


Fangzhou Cheng
  • Data-driven solutions for system prognostics and health monitoring
  • Condition monitoring, fault diagnostics and fault prognostics
  • Ph. D., Electrical Engineering, University of Nebraska-Lincoln; B. Eng., Electrical Engineering, Zhejiang University, China


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


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


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


  • machine learning algorithms
  • self-aware and self-healing cyber physical systems
  • Ph.D., Electrical and Computer Engineering, Yale University; M.S., Electrical and Computer Engineering, University of Michigan, Ann Arbor; B.S., Radio Communication Engineering, Yonsei University, Seoul, South Korea


Matthew Klenk
  • artificial intelligence, transportation, collaborative autonomy, planning, cognitive systems
  • worked in U.S. Naval Research Laboratory
  • Ph.D., Northwestern University EECS


Tolga Kurtoglu
  • CEO
  • oversees PARC's R&D investments for Xerox and its innovation portfolio for commercial clients and government agencies
  • previously Vice President, Director of PARC's System Sciences Laboratory
  • previously at NASA Ames Research Center and Dell Corporation
  • Ph.D., University of Texas at Austin, Mechanical Engineering; MS, Carnegie Mellon University, Mechanical Engineering; BS, Orta Dogu Technical University, Mechanical Engineering


Raj Minhas
Raj Minhas
Vice President, Director of Interaction and Analytics Lab

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  • directs wide range of research activities including high performance computing, cognitive science, agile organizations and machine learning
  • Ph.D. and M.S.. Electrical and Computer Engineering, University of Toronto; B.E., Delhi University


Shiwali Mohan
  • adaptive agents for facilitating positive health behavior change and on knowledge representation and acquisition for task-driven dialog agents.
  • artificial intelligence, agent design and learning, cognitive systems and architectures, and psycholinguistics
  • Ph.D. from University of Michigan's Computer Science and Engineering department; M.S. in computer science from University of Michigan; a B.Tech in instrumentation and control engineering from Delhi University in India


Marzieh Nabi
Marzieh Nabi
Director of Business Strategy

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  • Director of Business Strategy
  • Systems science, artificial intelligence, machine learning, business strategy, technology commercialization
  • Ph.D. in Aeronautics and Astronautics and M.Sc. in Mathematics from University of Washington; M.Sc. and B.Sc. in Aerospace Engineering from Sharif University of Technology


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 


Kalai Ramea
  • data scientist, machine learning engineer, quantitative modeler
  • expertise in big data analytics, applied machine learning and deep learning, statistical and numerical modeling, operations research
  • Ph.D., University of California, Davis; M.S., University of Southern California; B.E., Anna University, India


Matthew Shreve
  • behavior recognition and surveillance, computer vision, image processing and artificial intelligence
  • Ph.D., Computer Science, University of South Florida, M.S., Mathematics, Youngstown State University


Hong Yu
  • designing simulation tools that incorporate fault diagnosis into systems modeling
  • model-based diagnosis for complex electromechanical systems
  • Ph.D. in Mechanical Engineering from the University of Delaware; Bachelor in Mechanical Engineering from Huazhong University of Science and Technology (HUST) in China