Clark School Home UMD
ECE
Return to Faculty Directory

Babadi, Behtash

Assistant Professor
ECE/ISR
2351 A.V. Williams
Email: 
Phone: 
301-405-8346

Research Interests 

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

Background 

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.

Education 

  • 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 

ECE Names 2017-2018 Distinguished Dissertation Fellows
The fellowships are awarded to outstanding students in the final stages of dissertation work in recognition of their research excellence. April 18, 2018

Maryland researchers develop computational approach to understanding brain dynamics
This paper published in PNAS develops a signal processing framework for extracting dynamic functional networks from neuronal data at unprecedented resolutions. April 10, 2018

Maryland researchers awarded $1M DARPA Lagrange program cooperative agreement
Marcus, Fu, Simon and Babadi will build a scalable, risk-sensitive and real time optimization framework tailored to noninvasive neuroimaging data from the human brain. April 10, 2018

UMD researchers find listening to sound changes how neurons interact within the brain
The brain encodes not only the acoustical properties of sounds, but also the behavioral meanings and decisions we make based on what we hear. February 2, 2018

Three ISR graduate students win new travel award
Bhaskar Ramasubramian, Hossein Salami, and Sayyed Sina Miran will receive funding to help defray the cost of presenting their research at a professional conference. September 13, 2017

Researchers part of two NSF Neural & Cognitive Systems grants worth more than $1.2 million
The NSF awards have been issued to U.S. cross-disciplinary teams to conduct innovative research focused on neural and cognitive systems. August 10, 2017

Transportation Electrification REU in Full Swing at UMD
The REU program combines cutting edge, team-based research with technical and educational seminars. July 17, 2017

Four ECE Students Receive Outstanding Graduate Assistant Award from UMD Graduate School
While the Awards carry no cash prize, they convey the honor of being named among the top 2% of campus GAs in a given year.  May 8, 2017

ECE Names 2016-2017 Distinguished Dissertation Fellows
Five Electrical and Computer Engineering Ph.D. students were selected as ECE Distinguished Dissertation Fellows for 2016-17. May 4, 2017

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