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PEOPLE:

 

Kyle Arakaki
Kyle Arakaki
Member of Technical Staff

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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

 

Kyle Dent
  • novel human-computer interaction technologies
  • author of Postfix: The Definitive Guide (O'Reilly & Associates, 2003)
  • M.S., Computer Science, Columbia School of Engineering and Applied Science

 

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

 

Gaurang Gavai
  • applications in embedded reasoning and machine learning with a focus on social network data analysis and technical infrastructure development therein
  • Master's in Computer Science with a specialization in Machine Learning, Georgia Institute of Technology; Bachelor's in Information Technology, University of Mumbai

 

Deokwoo
  • 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

 

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

 

Lottie Price
  • automating monitoring of printer repair reports 
  • deep learning techniques 
  • M.Sc., Computer Science, University of Saskatchewan

 

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 

 

Palghat Ramesh
  • machine learning, computer vision, modeling and simulation
  • Ph.D., Cornell University; M.S., Computer Science and Data Analytics, University of Rochester; B.S., Mechanical Engineering, Indian Institute of Technology
  • 53 patents, 50 publications

 

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

 

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
Hong Yu
Research Scientist

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  • 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

 

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”