Mahdi Imani

Assistant Professor,  Electrical and Computer Engineering

Contact

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Office

  • 428 Dana
  • 617.373.5433

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Research Focus

Machine Learning, Control/Learning Theory, Bayesian Statistics, Signal Processing

Education

  • PhD, Electrical Engineering, Texas A&M University, 2019.
  • MSc, Electrical Engineering, University of Tehran, 2014.
  • BSc, Mechanical Engineering, University of Tehran, 2012.

Honors & Awards

IBM Research Almaden Distinguished Speaker, San Jose, CA, Nov 2019.

Association of Former Students Distinguished Graduate Student Award for Excellence in Research-Doctoral, Texas A&M University, 2019.

Best Ph.D. Student Award, Department of Electrical and Computer Engineering, Texas A&M University, 2015.

Best Paper Finalist Award, the 49th Asilomar Conference on Signals, Systems, Computers, 2015.

Professional Affiliations

Associate Editor, IEEE Transactions on Neural Networks and Learning Systems

Associate Editor, IEEE Transactions on Vehicular Technology

Institute of Electrical and Electronics Engineers (IEEE) – Senior Member

Association for the Advancement of Artificial Intelligence (AAAI)

Society for Industrial and Applied Mathematics (SIAM)

Research Overview

Machine Learning, Control/Learning Theory, Bayesian Statistics, Signal Processing

Selected Publications

  • M. Imani, S. F. Ghoreishi, and U.M. Braga-Neto, “Bayesian Control of Large MDPs with Unknown Dynamicsin Data-Poor Environments”, Advances in Neural Information Processing Systems, 2018.
  • M. Imani, and S. F. Ghoreishi, “Scalable Inverse Reinforcement Learning Through Multi-Fidelity Bayesian Optimization”, IEEE Transactions on Neural Networks and Learning Systems, 2021.
  • M. Imani, and S. F. Ghoreishi, “Graph-Based Bayesian Optimization for Large-Scale Objective-Based Experimental Design”, IEEE Transactions on Neural Networks and Learning Systems, 2021.
  • M. Imani, S. F. Ghoreishi, D. Allaire, and U.M. Braga-Neto, “MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models”, In Proceedings of the AAAI Conference on Artificial Intelligence, 2019.
  • M. Imani, and S. F. Ghoreishi, “Two-Stage Bayesian Optimization for Scalable Inference in State Space Models”, IEEE Transactions on Neural Networks and Learning Systems, 2021.
  • M. Imani, and S. F. Ghoreishi, “Optimal Finite-Horizon Perturbation Policy for Inference of Gene Regulatory Networks”, IEEE Intelligent Systems, Vol. 36, 2021.
  • M. Imani, and U.M. Braga-Neto, “Control of Gene Regulatory Networks using Bayesian Inverse Reinforcement Learning,” IEEE Transactions on Computational Biology and Bioinformatics (TCBB), 16.4, pp. 1250-1261, 2019.
  • M. Imani, E.R. Dougherty, and U.M. Braga-Neto, “Boolean Kalman Filter and Smoother Under Model Uncertainty”, Automatica, Vol. 111, January 2020.
  • M. Imani, and U.M. Braga-Neto, “Maximum-Likelihood Adaptive Filtering for Partially-Observed Boolean Dynamical Systems,” IEEE Transactions on Signal Processing, 65.2, pp. 359-371, 2017.
  • M. Imani, and S. F. Ghoreishi, “Partially-Observed Discrete Dynamical Systems”, American Control Conference (ACC), 2021.
  • M. Imani, and S. F. Ghoreishi, “Bayesian Optimization Objective-Based Experimental Design”, American Control Conference (ACC), 2020.
Mahdi Imani

Faculty

Aug 18, 2021

New Faculty Spotlight: Mahdi Imani

Mahdi Imani joins the Electrical and Computer Engineering department in August 2021 as an Assistant Professor.

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