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PEOPLE:

 

Arvind Agarwal
  • machine learning, social computing, recommendation systems, data mining/visualization
  • PhD, Computer Science, University of Maryland, M.S., Computer Science, School of Computing, University of Utah, B.S., Birla Institute of Technology & Science

 

Julien Bourdaillet
  • natural language processing, machine translation, functional languages, social media, behavioral economics
  • Ph.D. and M.Sc., Computer Science, University Pierre and Marie Curie
  • 40 published papers at conferences and leading journals

 

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

 

Tim Curley
Tim Curley
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

 

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

 

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

 

Nathan Gnanasambandam
  • scalable social analytics, big data
  • Ph.D., Industrial Engineering, Pennsylvania State University, M.Sc., Physics, BITS, M.S., Computer Science, SUNY Binghamton, M.S., Industrial Engineering, SUNY Binghamton
  • 2 patents, 28 publications

 

Barry Gombert
  • large scale computing, big data and analytics
  • B.S., Electrical Engineering, Valparaiso University
  • 27 patents

 

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

 

Saurabh Kataria
  • user behavioral analysis in social media, content and graph analysis, information extraction
  • Ph.D., Information Science and Technology, Pennsylvania State University

 

Faming LI
  • machine learning and data mining
  • Ph.D., Aerospace Engineering, University of California
  • 25 patents, 10 papers

 

Juan Li
  • operations research, business process modeling and simulation and machine learning
  • Ph.D., Operations Research, Cornell University, B.A., Mathematics, Smith College

 

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

 

Andrés Quiroz
  • computer engineering researcher working in the areas of scalable computing, big data, and analytics
  • current work focuses on data integration, developing tools and algorithms to enable high-level queries on raw data based on big data platforms
  • Ph.D. and M.Sc. in Computer Engineering from Rutgers University; B.S. in Systems Engineering from EAFIT University in Medellín, Colombia

 

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

 

Michael Shepherd
  • healthcare analytics
  • M.S., Software Engineering, Rochester Institute of Technology, B.S., Computer Science, Purdue University
  • 31 patents

 

William Stumbo
  • human computer interaction
  • M.S., Computer Science, Rochester Institute of Technology, B.S., Computer Science, Purdue 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

 

Gavan Tredoux
  • statistical prediction models, latent variable models, machine learning, distributed and mobile systems, mathematical logic
  • M.S., Mathematics, University of Cape Town, B.S., Computer Science and Mathematics and B.A., Philosophy, University of Cape Town, M.S., Statistics, Colorado State University
  • 18 patents

 

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

 

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

 

Andrew Yeh
  • predictive and prescriptive analytics, machine learning
  • Ph.D. and M.A., Princeton University, B.A., University of Chicago
  • 13 patents, 12 papers

 

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