Faculty Directory

Babadi, Behtash

Babadi, Behtash

Associate 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 was 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

E. Robert Kent Teaching Award for Junior Faculty (2019)

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.

Fu, Marcus team for new AFOSR project on simulation optimization

Simulation optimization aims to guide planning and decision making under uncertainty in complex dynamic settings.

Cornelia Fermüller is PI for 'NeuroPacNet,' a $1.75M NSF funding award

The resulting "network of networks" will further the scientific grand challenge of developing neuromorphic artificial intelligence.

Babadi research to reveal computational principles for the brain's sensory processing and behavior

The research could help improve prosthetics for people with paraplegia and make possible reconfigurable neuromorphic devices.

2020 Dean's Doctoral Student Research Awards

The competition recognizes distinguished graduate student researchers in order to help propel their careers and demonstrate the value of high-quality engineering research.

ECE Names 2019-2020 Distinguished Dissertation Fellows

Das, Demertziz, Nguyen, and Zou have been selected as ECE Distinguished Dissertation Fellows for 2019-20.

Babadi, Chellappa contribute to Springer reference work on computer vision

The comprehensive work has been revised and expanded this year for online reference.

Clark School faculty 'AIM-HI' to address major health challenges

The new UMB-UMCP program has announced its first grants for projects combining AI and medicine.

Brain and Behavior Initiative Hosts 3rd Annual Seed Grant Symposium

Researchers from across UMD convene to discuss the latest projects funded by BBI

Behtash Babadi Wins Clark School's Junior Faculty Teaching Award

The Clark School gives this award to a junior faculty member for excellence in teaching.