Jalal Arabneydi
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Vice Chair of IEEE Montreal Chapter Associate Editor Email: jalal.arabneydi [at] mail [dot] mcgill [dot] ca |
About Me
I received my Ph.D. degree in Electrical and Computer Engineering from McGill University and my M.Sc. degree from University of Tehran. I am the recipient of the Best Student-Paper Award in the 53rd IEEE Conference on Decision and Control (CDC), 2014, which is a highly prestigious award given annually to one distinguished paper for its originality and potential impact. One of my current theoretical research interests lies in the intersection of decision making theory and artificial intelligence. The ultimate goal is to define proper mathematical tools and solution concepts in order to develop large-scale decision-making algorithms that work under imperfect information and incomplete knowledge with analytical performance guarantees. To this end, I have proposed deep structured teams/games as a newly emergent class of decentrazlied large-scale planning algorithms.
Research Interests
Learning and planning in deep structured models
Stochastic optimization and sequential decision making
Game/control theory
Multi-agent reinforcement learning
Decentralized, distributed and partially observed systems
Large-scale networks
Recent Applications
Health sector (e.g. control of pandemics)
Energy sector (e.g. integration of renewable energies)
National security (e.g. cyber-physical attacks)
Public sector (e.g. social networks)
Private sector (e.g. navigation of unmanned vehicles)
Financial sector (e.g. supply chain)