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Kyle Arakaki
Kyle Arakaki
Member of Technical Staff

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Ahmad Baitalmal
  • Chief Product Architect - Digital Manufacturing; Special Projects Area Manager
  • Oversees go-to-market executiion and scaling of customer-facing productization efforts
  • Sloan Fellow and M.S., Management, Stanford Graduate School of Business; B.A., Business Administration and M.I.S., Washington State University


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


Bryan Dolan
  • data science, statistical modeling and design optimization
  • M.S., Computer Science, University of Rochester, M.S., Mechanical Engineering, SUNY Buffalo and B.S., Mathematics, University of Notre Dame


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


Alvaro Gil
  • machine learning, control algorithms and optimization
  • Ph.D., Electrical Engineering, Ohio State University, M.S. and B.S., Electrical Engineering, Instituto Universitario Politecnico


Sankar Gorthi
  • User Interface development and design
  • JavaScript, NodeJS
  • M.S., Electrical Engineering, UT Arlington; B.E., Electrical and Electronic Engineering, Osmania University, Hyderabad, India


Eric Hamby
  • data analytics, probabilistic methods for system analysis and design uncertainty, and system optimization
  • Ph.D., Aerospace Engineering, University of Michigan, M.S., Aeronautics, Massachusetts Institute of Technology, B.S., Aerospace Engineering, University of Kansas
  • 60 patents, 20 journal and conference papers


John Handley
  • urban mobility analytics, statistical models for spatio-temporal data
  • Ph.D., Imaging Science, Rochester Institute of Technology, M.S. and B.S., Mathematics, Ohio State University
  • 60 patents, 20 journal papers


Sriganesh Madhvanath
  • predictive and prescriptive data analytics, machine learning, human computer interaction, user experience design and product and service innovation
  • Ph.D., Computer Science, SUNY Buffalo, B.S., Computer Science, Indian Institute of Technology
  • 40 patents, 80 publications


Raj Minhas
Raj Minhas
Vice President, 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


Howard Mizes
  • machine learning, video analytics
  • Ph.D. and M.S.., Applied Physics, Stanford University, M.S., Computer Science, University of Rochester, B.S., Physics, UCLA
  • 78 patents, 69 publications


Saurabh Prabhat
  • Manage Video Analytics Program driving overall strategic vision and technology roadmap
  • Over a decade experience of driving many innovations starting from early inception through prototyping transferred for profitable revenue generating offerings
  • Executive General Management Program, Havard Business School; M.S., Mechanical Engineering, University of Illinois, B.Tech., Mechanical Engineering, Indian Institute of Technology
  • 30 patents


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


Ryan Rossi
  • machine learning, statistical relational learning, graph mining
  • high-performance analytics, relational machine learning, scalable learning and inference
  • Ph.D., Purdue University


Eric Saund
  • computational vision, specializing in perceptual organization in the domain of document images.
  • ScanScribe document image editor
  • B.S. in Engineering and Applied Science, California Institute of Technology. Ph.D. in Cognitive Science from the Massachusetts 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


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


Tong Sun
  • statistical modeling, machine learning and optimization techniques
  • Ph.D., Distributed Computing, University of Rhode Island
  • 20 U.S. patents, 30 articles and papers


Ming Yang
  • predictive analytical modeling and data science
  • Ph.D., Mechanical Engineering, University of Rochester
  • 20 patents


Jinhui Yao
  • service computing, cloud computing, big data and business process management
  • Ph.D., Service Oriented Architecture, University of Sydney, B.S., Telecommunications, University of Sydney


Jing Zhou
  • predictive and prescriptive analytics, machine learning and data mining
  • Ph.D., Physics, University of Massachusetts, B.S., Physics, Tsinghua University
  • 10 patents


Rong Zhou
  • manages High-performance Analytics area 
  • interests include artificial intelligence; high-performance analytics; machine learning; parallel model checking
  • holds 21 US patents; 14 international patents in the areas of parallel algorithms, planning and scheduling, disk-based search and diagnosis