myUTSAUTSA TodayVisitDirectorySearch
myUTSAUTSA TodayVisitDirectorySearch

Electrical and Computer EngineeringElectrical and Computer Engineering

  • Programs
    • Undergraduate Programs
    • Graduate
  • Students
    • Undergraduate Students
    • Graduate Students
    • Forms for Students
    • Our Alumni’s Success
  • Faculty & Staff
    • NSF CAREER Awardees
  • Research
    • Faculty Research Areas
    • Undergraduate Research
  • Contact
    • Department Information
  • News & Announcements
    • ECE Faculty Openings
    • Elements Magazine
    • ECE Video & Demo Gallery
UTSA CEID
 August 19, 2022

Taposh Banerjee

Taposh Banerjee

by sgonzalezsanabia / Thursday, 17 May 2018 / Published in
Cloud Technology Endowed Professorship IV, Assistant Professor
AET 2.362
210-458-5939
taposh.banerjee@utsa.edu
Personal website click here
 

Areas of Teaching Interest

Machine Learning, Digital Signal Processing, Probability and Stochastic Processes, Signal Detection and Estimation

Areas of Research Interest

Quickest Change Detection, Statistical Signal Processing, Machine Learning, High-Dimensional Statistics, Sequential Analysis, Time-Series Analysis, Reinforcement Learning, Optimal Stopping Theory, Biomedical Signal Processing.

Educational Background

Ph.D, University of Illinois at Urbana-Champaign, 2014.

Selected Publications

  • T. Banerjee, A. Taha, and E. John, “Robust Quickest Change Detection in Statistically Periodic Processes,” In Proc. of IEEE International Symposium on Information Theory (ISIT), Melbourne, Victoria, Australia, July 2021.
  • T. Banerjee, S. Padhy, A. Taha and E. John, “Quickest Joint Detection and Classification of Faults In Statistically Periodic Processes, In Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toronto, Canada, June 2021.
  • T. Banerjee, P. Gurram and G. Whipps, “A Bayesian theory of change detection in statistically periodic random processes,” IEEE Transactions on Information Theory,  67(4), April 2021.
  • T. Banerjee, P. Gurram and G. Whipps, “Multislot and multistream quickest change detection in statistically periodic processes,” In Proc. of IEEE International Symposium on Information Theory (ISIT), Los Angeles, CA, June 2020.
  • T. Banerjee, E. Adib, A. Taha, and E. John, “Sequential methods for detecting a change in the distribution of an episodic process,” In Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 2020.
  • M. Angjelichinoski, J. Choi, T. Banerjee, B. Pesaran, and V. Tarokh, “Cross-subject decoding of eye movement goals from local field potentials”, Journal of Neural Engineering, 17(1), February 2020.
  • M. Angjelichinoski, T. Banerjee, J. Choi, B. Pesaran, and V. Tarokh, “Minimax-optimal decoding of movement goals from local field potentials using complex spectral features”, Journal of Neural Engineering, 16(4), May 2019.
  • T. Banerjee, P. Gurram and G. Whipps, “A Sequential Detection Theory for Statistically Periodic Random Processes,” In Proc. of 57th Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, September 2019.  Invited. 
  • T. Banerjee, P. Gurram and G. Whipps, “Bayesian Quickest Detection of Changes in Statistically Periodic Processes,” In Proc. of IEEE International Symposium on Information Theory (ISIT), Paris, France, July 2019.
  • T. Banerjee, P. Gurram and G. Whipps, “Quickest Detection Of Deviations From Periodic Statistical Behavior,” In Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 2019.
  • T. Banerjee, S. Allsop, K. M. Tye, D. Ba, and V. Tarokh, “Sequential Detection of Regime Changes in Neural Data, ” In Proc. of 9th International IEEE EMBS Conference on Neural Engineering (NER), San Francisco, CA, March 2019.  
  • T. Banerjee, G. Whipps, P. Gurram, and V. Tarokh, “Cyclostationary Statistical Models and Algorithms for Anomaly Detection Using Multi-Modal Data,” In Proc. of IEEE Global Conference on Signal and Information Processing (GlobalSIP), Anaheim, CA, November 2018.
  • T. Banerjee, G. Whipps, P. Gurram, and V. Tarokh, “Sequential event detection using multimodal data in nonstationary environments,” In Proc. of International Conference on Information Fusion (FUSION), Cambridge, UK, July 2018.
  • T. Banerjee, J. Choi, B. Pesaran, D. Ba, and V. Tarokh, “Classification of local field potentials using Gaussian sequence model,” In Proc. of IEEE Statistical Signal Processing Workshop (SSP), Freiburg, Germany, June 2018.
  • T. Banerjee, J. Choi, B. Pesaran, D. Ba, and V. Tarokh, “Wavelet shrinkage and thresholding based robust classification for brain-computer interfaces,” In Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Alberta, Canada, April 2018.
  • T. Banerjee, H. Firouzi and A. O. Hero III, “Quickest detection for changes in maximal kNN coherence of random matrices,” IEEE Transactions on Signal Processing, 66(17): 4490 – 4503, September 2018.
  • T. Banerjee and G. Moustakides, “Minimax optimality of Shiryaev-Roberts procedure for quickest drift change detection of a Brownian motion,” Sequential Analysis, 36(3): 355 – 369, September, 2017.
  • T. Banerjee, Miao Liu and Jonathan P. How, “Quickest Change Detection Approach to Optimal Control in Markov Decision Processes with Model Changes,” In Proc. American Control Conference (ACC), Seattle, WA, May, 2017.
  • T. Banerjee and A. O. Hero III, “Quickest hub discovery in correlation graphs,” Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November, 2016. (Invited)
  • T. Banerjee and A. O. Hero III, “Quickest hub discovery in correlation graphs,” Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November, 2016. (Invited)
  • T. Banerjee and V. V Veeravalli, “Data-efficient minimax quickest change detection in a decentralized system,” Sequential Analysis, 34(2): 148-170, May, 2015. Winner of the Abraham Wald Prize in Sequential Analysis 2016
  • Y. C. Chen, T. Banerjee, A. D. Dominguez-Garcia, and V. V. Veeravalli, “Quickest line outage detection and identification,” IEEE Transactions on Power Systems, 31(1): 749 – 758, January, 2016.
  • T. Banerjee and V. V. Veeravalli, “Data-efficient minimax quickest change detection with composite post-change distribution,” IEEE Transactions on Information Theory, 61(9): 5172 – 5184, September, 2015.
  • T. Banerjee and V. V Veeravalli, “Data-efficient quickest change detection in sensor networks,” IEEE Transactions on Signal Processing, 63(14): 3727 – 3735, July, 2015.
  • T. Banerjee and V. V. Veeravalli, “Data-efficient quickest change detection,” Sri Lankan Journal of Applied Statistics, Special Issue: Modern Statistical Methodologies in the Cutting Edge of Science, with Guest Editor Professor Nitis Mukhopadhyay, pp. 183-208, 2014. (Invited)
  • V. V. Veeravalli and T. Banerjee, “Quickest change detection,” Academic Press Library in Signal Processing: Volume 3 – Array and Statistical Signal Processing, pp. 209 – 255, 2014.
  • T. Banerjee and V. V. Veeravalli, “Data-efficient quickest change detection in minimax settings,” IEEE Transactions on Information Theory, 59(10): 6917 – 6931, October, 2013.
  • T. Banerjee and V. V. Veeravalli, “Data-efficient quickest change detection with on-off observation control,” Sequential Analysis, 31(1): 40-77, February, 2012.
  • T. Banerjee, V. Sharma, V. Kavitha and A. K. Jayaprakasam, “Generalized analysis of a distributed energy-efficient algorithm for change detection,” IEEE Transactions on Wireless Communications, 10(1): 91 -101, January, 2011.

 

Categories

  • Biomedical Engineering
  • Chemical Announcements
  • Chemical Engineering
  • Civil and Environmental Engineering
  • COE Announcements
  • Electrical & Computer Announcements
  • Electrical and Computer Engineering
  • General
  • Mechanical Announcements
  • Mechanical Engineering
  • News
  • Uncategorized
  • UTSA COE

Recent Posts

  • Undergraduate Opportunity: On-Campus Research in Electronic Materials — Apply today!

     Applications are still open for undergrad...
  • Open Position in Power/Energy Systems

     Faculty Positions in Power/Energy Systems...
  • Engineering Alumnus Secures $25,000 Investmnet

     Alt-Bionics, founded by UTSA alumnus Ryan...
  • Engineering Alumnus Secures $25,000 Investmnet

     Alt-Bionics, founded by UTSA alumnus Ryan...
  • UTSA E.E. Alumnus Receives Recognition from National Science Foundation GRFP

     Joshua Ramirez, a current Ph.D students w...

Archives

  • March 2022
  • October 2021
  • April 2021
  • October 2020
  • August 2020
  • June 2020
  • May 2020
  • April 2020
  • February 2020
  • January 2020
  • November 2019
  • October 2019
  • September 2019
  • August 2019
  • June 2019
  • May 2019
  • April 2019
  • March 2019
  • February 2019
  • January 2019
  • November 2018
  • October 2018
  • September 2018
  • August 2018
  • July 2018
  • May 2018
  • April 2018
  • March 2018
  • February 2018
  • January 2018
  • December 2017
  • November 2017
  • October 2017
  • September 2017
  • August 2017

Department of Electrical and Computer Engineering
Building: Biotechnology Science and Engineering Building (BSE), Room 1.500

One UTSA Circle
San Antonio, TX 78249

Phone: 210-458-6482
Fax: 210-458-6475

Contact COE Webmaster:  coe@utsa.edu

UTSA Mission
The University of Texas at San Antonio is dedicated to the advancement of knowledge through research and discovery, teaching and learning, community engagement and public service. As an institution of access and excellence, UTSA embraces multicultural traditions and serves as a center for intellectual and creative resources as well as a catalyst for socioeconomic development and the commercialization of intellectual property – for Texas, the nation and the world.

UTSA Vision
To be a premier public research university, providing access to educational excellence and preparing citizen leaders for the global environment.

Departmental Job Openings

© 2021 The University of Texas at San Antonio | One UTSA Circle San Antonio, TX 78249 | Information 210-458-4011
Campus Alerts | Jobs | Required Links | Policies | UT System | Report Fraud
Produced by University Communications and Marketing

TOP