Education

• University of Michigan (UoM), Ann Arbor, MI, USA.

  • Ph.D. in Electrical and Computer Engineering (09/2019 – 04/2025)

    • Advisor: Vijay Subramanian.

    • Dissertation Title: Sequential Decision-Making in Cooperative Multi-Agent Systems with Constraints. [pdf]

  • M.S. in Mathematics (09/2019 – 04/2025)

    • GPA: 4/4, Focus: Probability and Stochastic Processes.

  • M.S. in Electrical and Computer Engineering (09/2017 – 04/2019)

    • GPA: 4/4, Focus: Network, Communication and Information Systems.

• Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI), KPK, Pakistan.

  • B.S. in Electrical and Electronics Engineering

    • GPA: 3.99/4 Rank: 1/343.

Peer-reviewed Publications

• N. Khan, and V. Subramanian, “On Equivalence Between Decentralized Policy-Profile Mixtures and Behavioral Coordination Policies in Multi-Agent Systems,” IEEE Conference on Decision and Control (CDC), 2025. [IEEE, arXiv]

• N. Khan, U. Dinesha, S. Arunachalam, D. Narasimha, V. Subramanian, and S. G. Shakkottai, “A Multi-Agent View of Wireless Video Streaming with Delayed Client-Feedback,” IEEE International Conference on Computer Communications (INFOCOM), 2024. [IEEE]

• N. Khan, M. Moharrami, and V. Subramanian, “Rarest-First with Probabilistic-Mode-Suppression,” IEEE Transactions on Information Theory (TIT), 2024. [IEEE, arXiv]

• N. Khan, and V. Subramanian, “A Strong Duality Result for Cooperative Decentralized Constrained POMDPs,” IEEE Conference on Decision and Control (CDC), 2023. [IEEE, arXiv]

• N. Khan, M. Moharrami, and V. Subramanian, “Stable and Efficient Piece-Selection in Multiple Swarm BitTorrent-like Peer-to-Peer Networks,” IEEE International Conference on Computer Communications (INFOCOM), 2020. [IEEE]

Preprints

• N. Khan, and V. Subramanian, “Cooperative Multi-Agent Constrained POMDPs: Strong Duality and Primal-Dual Reinforcement Learning with Approximate Information States,” to be submitted to Mathematics of Operations Research (MOR). [arXiv]

• N. Khan, K. Mu, M. Moharrami, and V. Subramanian, “Backward and Forward Inference in Interacting Independent-Cascade Processes: A Scalable and Convergent Message-Passing Approach,” to be submitted to IEEE Transactions on Network Science and Engineering (TNSE). [arXiv]

Teaching

• Winter 2024:

  • Guest Lectures in EECS-502 (Stochastic Processes) on Jan 23, Mar 19, and Mar 28.

• Fall 2023: 

  • Graduate Student Instructor, EECS-301 Probability Methods in Engineering, UoM.

  • Guest Lectures in EECS-301 and EECS-544 (Analysis of Societal Networks), each on Oct 18.

• Fall 2021: Graduate Student Instructor, SIADS-644 Reinforcement Learning Algorithms, UoM.

• Winter 2021: Graduate Student Instructor, EECS-562 Nonlinear Systems and Control, UoM.

• Fall 2020: Graduate Student Instructor, EECS-301 Probability Methods in Engineering, UoM.

• Spring 2019: Graduate Student Instructor, EECS-203 Discrete Mathematics, UoM.

• Winter 2019: Graduate Student Instructor, EECS-203 Discrete Mathematics, UoM.

• Fall 2018: Graduate Student Instructor, EECS-203 Discrete Mathematics, UoM.