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PEOPLE:

 

Danny Bobrow
  • community knowledge sharing systems
  • natural language-based, broad-coverage system for question answering
  • over 100 published papers, books, and issued patents
  • President of AAAI; Editor-in-chief, Artificial Intelligence; ACM and AAAI fellow

 

Yasmine Charif
  • research interests include business process modeling, optimization, and methods for injecting robustness into processes
  • Ph.D., Artificial Intelligence, Universite Pierre et Marie Curie, M.S., Universite Rene Descartes

 

Lara Crawford
  • interface between planning and control, as well as the control and coordination of large-scale distributed, networked, embedded systems
  • simulation, robotics, learning control, biologically inspired control
  • Ph.D. in Biophysics & M.S. in Electrical Engineering, U.C. Berkeley; A.B. in Physics, Harvard

 

Christian Fritz
  • applies AI planning & KR to real-world problems
  • semantic workflows, cognitive robotics, ubicomp
  • specializes highly dynamic, open-world environments
  • Ph.D., University of Toronto

 

 

Lina Fu
  • data mining, statistical modeling and spatial temporal analytics
  • Ph.D. and M.S. in Electrical and Computer Engineering, Ohio State University, B.S., Electrical Engineering, Zhejian University

 

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

 

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

 

John Hanley
  • modeling complex business processes for decision support system
  • relevance-based document retrieval from personal library
  • usability of large software systems
  • M.S., Software Engineering, Carnegie Mellon University

 

Matthew Klenk
  • qualitative reasoning, machine learning, planning, intelligent agents, spatial reasoning
  • worked in U.S. Naval Research Laboratory
  • Ph.D., Northwestern University EECS

 

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

 

Tolga Kurtoglu
Tolga Kurtoglu
Vice President, Director of System Sciences Lab (SSL)

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  • Vice President, System Sciences Lab (SSL)
  • Directs research programs in artificial intelligence, machine learning, control, planning, optimization, and high performance analytics for cyber-physical systems
  • Leading business development, strategy, execution, and technology commercialization for a portfolio of product and service offerings
  • previously at NASA Ames Research Center and Dell Corporation
  • PhD, UT Austin, MS, Carnegie Mellon University, Mechanical Engineering

 

Linxia Liao
  • predictive and prescriptive analytics; system and components fault diagnostics and prognostics; signal processing; and machine learning algorithms
  • developing device fleet health management solutions for intelligent transportation systems
  • Ph.D., Industrial Engineering, University of Cincinnati; M.S. and B.S., Mechanical Science and Engineering, Huazhong University of Science and Technology (HUST) in China
  • one issued patent and seven pending patents

 

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

 

Rui Maranhão
Rui Maranhão
Applied Research Scientist

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  • research focuses on statistical and probabilistic techniques for testing and automatic fault localization of software intensive systems, as well as self-adapting to runtime failures. 
  • applying diagnostic and predictive techniques to other domains, such as healthcare and HVAC. 
  • P.h.D. Delft University of Technology, the Netherlands;  Software Technology Master Course, University of Utrecht, the Netherlands; Systems and Computer Science, University of Minho, Portugal

 

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

 

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-Abdolyousefi
  • control, optimization, networked dynamics systems, robotics, and flight dynamics, in energy, transportation, multi-agent system, and healthcare
  • Ph.D. in Aeronautics and Astronautics and M.Sc. in Mathematics from University of Washington

 

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 

 

Sudhendu Rai
  • business process optimization and simulation
  • Ph.D., Massachusetts Institute of Technology
  • 68 patents, 45 publications

 

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

 

Aaron Wilson
  • research lies within the field of machine learning where he has focused on automated decision making, active learning, inference, and reasoning
  • currently working on active learning, behavior analysis, and relational analysis to support anomaly detection
  • Ph.D., Computer Science, Oregon State University

 

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