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

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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