Clark School Home UMD
Return to Faculty Directory

Babadi, Behtash

Assistant Professor
2351 A.V. Williams

Research Interests 

  • Statistical and adaptive signal processing
  • Neural signal processing
  • Systems neuroscience


Behtash Babadi received the Ph.D. and M.Sc. degrees in Engineering Sciences from Harvard University in 2011 and 2008, respectively, and the B.Sc. degree in Electrical Engineering from Sharif University of Technology, Tehran, Iran in 2006. From 2011 to 2014, he has been a post-doctoral fellow at the Department of Brain and Cognitive Sciences at Massachusetts Institute of Technology as well as at the Department of Anesthesia, Critical Care and Pain Medicine at Massachusetts General Hospital. His research interests include statistical and adaptive signal processing, neural signal processing, and systems neuroscience.


  • Ph.D. in Engineering Sciences, Harvard University, 2011
  • M.Sc. in Engineering Sciences, Harvard University, 2008
  • B.Sc. in Electrical Engineering, Sharif University of Technology, Tehran, Iran, 2006

Selected Publications 

A. Sheikhattar, J. B. Fritz, S. A. Shamma, and B. Babadi, Recursive Sparse Point Process Regression with Application to Spectrotemporal Receptive Field Plasticity Analysis, IEEE Transactions on Signal Processing, Vol. 64, No. 8, pp. 2026—2039, April 2016.
S. Akram, A. Presacco, J. Z. Simon, S. A. Shamma, and B. Babadi, Robust Decoding of Selective Auditory Attention from MEG in a Competing-Speaker Environment via State-Space Modeling, NeuroImage, Vol. 124, Part A, pp. 906—917, Jan. 2016.
D. Ba, B. Babadi, P. L. Purdon, and E. N. Brown, Robust Spectrotemporal Decomposition by Iteratively Re-weighted Least Squares, Proceedings of the National Academy of Sciences (PNAS), Vol. 111, No. 50, E5336–E5345, Dec. 2014.
B. Babadi, G. Obregon-Henao, C. Lamus, M. S. Hämäläinen, E. N. Brown, and P. L. Purdon, "A Subspace Pursuit-based Iterative Greedy Hierarchical Solution to the Neuromagnetic Inverse Problem", NeuroImage, Vol. 87, pp. 427-443, Feb. 2014.
B. Babadi, N. Kalouptsidis, and V. Tarokh, "SPARLS: The Sparse RLS Algorithm", IEEE Transactions on Signal Processing, Vol. 58, No. 8, pp. 4013-4025, Aug. 2010.

Honors and Awards 

  • NSF Faculty Early Career Development (CAREER) Award (2016)
  • GSAS Merit Fellowship, Harvard University (2010)


Related News 

2016 ECE Graduate Open House Streamed Live for Prospective Students
Perspective ECE students were invited to learn about graduate research opportunities and about graduate life at UMD November 3, 2016

Babadi Wins NSF CAREER Award
Babadi is one of two ECE/ISR professors to win a 2016 NSF CAREER award in signal processing. January 13, 2016

ECE Names 2014-2015 Distinguished Dissertation Fellows
Five Electrical and Computer Engineering Ph.D. students were selected as ECE Distinguished Dissertation Fellows for 2014-15. May 14, 2015

New Communications and Signal Processing Faculty Join ECE
Two assistant professors, Babadi and Pal, to complement ECE's robust Communications and Signal Processing program. January 15, 2014