Mahdi Imani

Assistant Professor, Electrical and Computer Engineering

Contact

m.imani@northeastern.edu
360 Huntington Ave
Boston, MA 02115

Social Media

Office

428 Dana
617.373.5433

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

NIH Trailblazer, 2022
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 Research Projects

Bayesian Dynamical Modeling of Microbial Communities
- – PI, National Institute of Biomedical Imaging and Bioengineering

Department Research Areas

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.

Faculty

Jun 13, 2022

Imani Awarded $590K NIH Trailblazer Grant for Mathematical Modeling of Microbial Communities

ECE Assistant Professor Mahdi Imani was awarded a $590K NIH Trailblazer R21 grant for New and Early Stage Investigators from the National Institute of Biomedical Imaging and Bioengineering (NIBIB) for “Bayesian Dynamical Modeling of Microbial Communities”.