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Babadi, Behtash

Assistant Professor
2351 A.V. Williams Building
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 under the supervision of Professor Vahid Tarokh, 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, under the mentorship of Professors Emery N. Brown and Patrick L. Purdon. His research interests include statistical and adaptive signal processing, neural signal processing, and systems neuroscience.

Honors and Awards 

GSAS Merit Fellowship, Harvard University, 2010


Selected Publications 

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.

D. Ba, B. Babadi, P. L. Purdon, and E. N. Brown, "Convergence and Stability of Iteratively Re-weighted Least Squares Algorithms", IEEE Transactions on Signal Processing, Vol. 62, No. 1, pp. 183-195, Jan. 2014.

B. Babadi, S. M. McKinney, V. Tarokh, and J. M. Ellenbogen, "DiBa: A Data-Driven Bayesian Algorithm for Sleep Spindle Detection", IEEE Transactions on Biomedical Engineering, Vol. 59, No. 2, pp. 483-493, Feb. 2012.

B. Babadi and V. Tarokh, "Spectral Distribution of Random Matrices from Binary Linear Block Codes", IEEE Transactions on Information Theory, Vol. 57, No. 6, pp. 3955-3962, June 2011.

B. Babadi and V. Tarokh, "GADIA: A Greedy Asynchronous Distributed Interference Avoidance Algorithm", IEEE Transactions on Information Theory, Vol. 56, No. 12, pp. 6228-6252, Dec. 2010.

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.

Related News 

Three ISR faculty receive UMD Brain and Behavior Initiative seed grants
Projects featuring Fritz, Babadi and Ghodssi are among seven chosen for FY18 funding. May 3, 2018

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

ISR researchers win additional $948K NSF Neural and Cognitive Systems grant
ISR researchers Cynthia Moss and Susanne Sterbing-D'Angelo, along with alumna Mounya Elhilali and their colleague Rajit Mittal, will conduct the research at Johns Hopkins University. August 9, 2017

ISR faculty leading bio-inspired robotics and transportation electrification REUs
NSF's REU program provides undergraduate students with hands-on exposure to scientific research. July 17, 2017

Sayyed Sina Miran to receive Outstanding Graduate Assistant Award from UMD Graduate School
Winners of the award are among the top 2 percent of GAs on campus 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

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