Erfaun Noorani
Scholar

Erfaun Noorani

Google Scholar ID: sId2n2YAAAAJ
MIT Lincoln Laboratory, University of Maryland College Park
Control TheoryReinforcement LearningDecision Theory
Citations & Impact
All-time
Citations
195
 
H-index
8
 
i10-index
6
 
Publications
20
 
Co-authors
14
list available
Resume (English only)
Research Experience
  • - Technical Staff: Control & Autonomous Systems Engineering Group at MIT Lincoln Laboratory
  • - Postdoctoral Associate: Institute for Systems Research (ISR) at the University of Maryland, College Park
Education
  • - Ph.D.: Department of Electrical and Computer Engineering, University of Maryland, College Park, under the supervision of John S. Baras
  • - M.Sc.: Electrical Engineering, University of Maryland, College Park
  • - B.Sc.: Electrical Engineering (with a minor in Computer Science), Drexel University, Philadelphia, Pennsylvania
Background
  • Research Interests: Decision-Making, Controls, Machine/Reinforcement Learning, Multi-Agent Systems, Game Theory. My research focuses on developing robust-resilient-adaptive reinforcement learning systems that are generic, provide performance guarantees, and can generalize-reason-improve in complex and unknown task environments. I apply tools from optimization theory, control theory, reinforcement learning, game theory, and graph theory, aiming to provide a comprehensive foundational theory, algorithms, and implementations, to design such systems with some degree of assurance of meeting specifications.