Faculty Directory

Babadi, Behtash

Babadi, Behtash

Assistant Professor
Electrical and Computer Engineering
The Institute for Systems Research
2351 A.V. Williams Bldg.
Website(s):

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.

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

Honors and awards

NSF Faculty Early Career Development (CAREER) Award (2016)

GSAS Merit Fellowship, Harvard University (2010)

 

 

 

Statistical and adaptive signal processing, neural signal processing, systems neuroscience


  • A. Sheikhattar, S. Miran, J. Liu, J. B. Fritz, S. A. Shamma, P. O. Kanold, and B. Babadi, Extracting Neuronal Functional Network Dynamics via Adaptive Granger Causality Analysis, Proceedings of the National Academy of Sciences, Vol. 115, No. 17, E3869-E3878, April 2018.
  • S. Miran, S. Akram, A. Sheikhattar, J. Z. Simon, T. Zhang, and B. Babadi, Real-Time Tracking of Selective Auditory Attention from M/EEG: A Bayesian Filtering Approach, Frontiers in Neuroscience, Vol. 12, pp. 262, May 2018.
  • N. A. Francis, D. E. Winkowski, A. Sheikhattar, K. Armengol, B. Babadi, and P. O. Kanold, Small Networks Encode Decision-Making in Primary Auditory Cortex, Neuron, Vol. 97, No. 4, Feb. 21, 2018.
  • P. Das and B. Babadi, Dynamic Bayesian Multitaper Spectral Analysis, IEEE Trans. on Signal Processing, Vol. 66, No. 6, pp. 1394-1409, March 2018.
  • A. Kazemipour, J. Liu, K. Solarana, D. A. Nagode, P. O. Kanold, M. Wu, and B. Babadi, Fast and Stable Signal Deconvolution via Compressible State-Space Models, IEEE Trans. on Biomedical Engineering, Vol. 65, No. 1, pp. 74-86, Jan. 2018.
  • S. Miran, P. L. Purdon, E. N. Brown, and B. Babadi, Robust Estimation of Sparse Narrowband Spectra from Neuronal Spiking Data, IEEE Trans. on Biomedical Engineering, Vol. 64, No. 10, pp. 2462-2474, Oct. 2017.
  • 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 Trans. on Signal Processing, Vol. 64, No. 8, pp. 2026—2039, April 2016.

BBI Announces FY19 Seed Grant Awards

Awarded proposals feature researchers from seven colleges and schools as well as three centers and institutes

ECE Names 2018-2019 Distinguished Dissertation Fellows

Three electrical and computer engineering Ph.D. students were selected as ECE Distinguished Dissertation Fellows for 2018-19.

Ghodssi gives distinguished lecture on devices for gastrointestinal health at EPFL in Switzerland

Trip also included visits to the Wyss Center and Imperial College London.

UMD researchers awarded $5.3M NIH BRAIN Initiative grant

BBI-affiliated faculty instrumental to "Readout and control of spatiotemporal neuronal codes for behavior"

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.

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.

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.

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.

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.

Transportation Electrification REU in Full Swing at UMD

The REU program combines cutting edge, team-based research with technical and educational seminars.