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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.


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


Gunjan Khandelwal
  • Full-Stack developer/architect in Digital Design and Manufacturing
  • Java, Javascript, AWS, design and manufacturing
  • Masters, Software Engineering, San Jose State University, California; B.Tech, Mechanical and Automation Engineering, Delhi, India


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


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


Amir M. Mirzendehdel
  • design automation for digital manufacturing
  • analysis and manufacturing planning at multiple scales; additive and hybrid technologies
  • Ph.D. and M.Sc., Mechanical Engineering, University of Wisconsin-Madison; B.Sc., Aerospace Engineering, Amirkabir University of Technology (Tehran Polytechnic), Iran


Saigopal Nelaturi
  • manages the Computation for Automation in Systems Engineering area
  • intelligent automation, digital manufacturing, geometric modeling, computational design, robotics, spatial computing
  • Ph.D., M.S., Mechanical Engineering, University of Wisconsin-Madison; M.Sc., Manufacturing, University of Bath, U.K.; B.E., Mechanical Engineering, RV College of Engineering, India



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 


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


Maksym Zhenirovskyy
  • software development, numerical methods, machine-learning algorithms, graph theory and complex networks, data analysis
  • working on expanding the library of SysX components.  The SysX project is developing a platform which embodies the diagnostics tools and knowledge PARC has developed over recent years.
  • Ph.D., Physics, Institute of Physics of the NAS of Ukraine; M.Sc., Electrical Engineering, National Technical University of Ukraine “KPI”