Research Group

The decIsion Making for Ambient INtelligence Environments (IMAgINE) Lab at the Electrical and Computer Engineering Department is conducting cutting–edge research in machine learning and statistical signal processing with a particular focus on decision making under uncertainty. We are particularly interested in devising optimal/near–optimal information gathering and processing strategies to automatically make good decisions under constraints. We gain our inspiration from a variety of interdisciplinary and innovative applications including but not limited to smart cities, safer online communities, and cyber-physical-human-systems.

PhD Students


  • Hadi Habibzadeh (Ph.D. in Electrical & Computer Engineering, 2022)
    Applied Scientist at Amazon

  • Akshay Gujjari (M.S. in Computer Science, 2020)
    Data Engineer at New York State Department of Environmental Conservation

  • Shon Bangale (M.S. in Computer Science, 2019)
    Senior Software Engineer at 777 Partners

  • Imara Nazar (Aug. 2018 - May 2020)
    Ph.D. Student in Electrical & Computer at University at Albany, SUNY

  • Sarah Siddiqui (M.S. in Information Science, 2018)
    STEM Librarian at University of Rochester

  • Liana Pangburn (B.S. in Computer Science, 2022)
    Software Engineer II at Travelport

  • Matthew Killeen (B.S. in Computer Science, 2022)
    Associate Software Engineer at Infosys

  • Zachary Balogh (B.S. in Computer Science, 2022)
    Integration Consultant at Cognizant

  • Hangyeol Park (B.S. in Computer Science, 2022)
    Software Development Engineer at Amazon

  • Pranjal Atrey (B.S. in Computer Science, 2021)
    M.S. Student at University of Maryland, College Park

  • Ben Poholchuk (B.S. in Electrical & Computer Engineering, 2021)
    Associate Electrical Engineer at Naval Nuclear Laboratory

  • Mahnoor Amir (B.S. in Computer Science, 2020)
    Analyst at HPS Investment Partners, LLC