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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


Eric Gross
  • experimental design, systems modeling, optimization, and control
  • Ph.D. and M.S, Dynamic Systems and Controls, University of California Berkeley, B.S., Mechanical Engineering, Rensselaer Polytechnic Institute


Gregory Kott
  • research interests include cloud computing, online analytics, analytics as a service with 20 years experience in research, design and development of hardware and software products
  • Ph.D. and ME, Mechanical Engineering, Rensselaer Polytechnic Institute, BS, Mechanical Engineering, Rochester Institute of Technology


Lei Lin
  • exploring novel methods and models to analyze the wealth of transportation-related data for insights and applications to improve the urban mobility
  • Ph.D., Philosophy, University at Buffalo, M.S., Computer Science, University at Buffalo, M.S., Systems Engineering, Beijing Jiaotong University


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 


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


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


Marina Tharayil
  • business process modeling and optimization
  • Ph.D., University of Illinois, B.S., Mechanical Engineering, University of Illinois


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