(2018 - 2022) Cloud Technology Endowed Professorship (UTSA).
(2016) Abraham Wald Prize in Sequential Analysis.
PhD, University of Illinois at Urbana-Champaign
ME, Indian Institute of Science Bangalore
Banerjee, T., & Tarokh, V. (2024). Bayesian quickest change detection for unnormalized and score-based models. Sequential Analysis, 43(3), 359-378.Informa UK Limited. doi: 10.1080/07474946.2024.2373118.
Banerjee, T., Gurram, P., & Whipps, G. (2024). Minimax asymptotically optimal quickest change detection for statistically periodic data. SIGNAL PROCESSING, 215, 109290.Elsevier. doi: 10.1016/j.sigpro.2023.109290.
Diao, E., Banerjee, T., & Tarokh, V. (2024). Large Deviation Analysis of Score-Based Hypothesis Testing. IEEE ACCESS, 12, 117691-117700.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/ACCESS.2024.3446848.
Hou, Y., Oleyaeimotlagh, Y., Mishra, R., Bidkhori, H., & Banerjee, T. (2024). Robust quickest change detection in nonstationary processes. Sequential Analysis, 43(3), 275-300.Informa UK Limited. doi: 10.1080/07474946.2024.2356555.
Wu, S., Diao, E., Banerjee, T., Ding, J., & Tarokh, V. (2024). Quickest Change Detection for Unnormalized Statistical Models. IEEE TRANSACTIONS ON INFORMATION THEORY, 70(2), 1220-1232.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TIT.2023.3328274.
Brucks, T., Banerjee, T., & Mishra, R. (2023). Modeling and quickest detection of a rapidly approaching object. SEQUENTIAL ANALYSIS-DESIGN METHODS AND APPLICATIONS, 42(4), 387-403.Taylor & Francis. doi: 10.1080/07474946.2023.2247020.
Oleyaeimotlagh, Y., Banerjee, T., Taha, A., & John, E. (2023). Quickest change detection in statistically periodic processes with unknown post-change distribution. SEQUENTIAL ANALYSIS-DESIGN METHODS AND APPLICATIONS, 42(4), 404-437.Taylor & Francis. doi: 10.1080/07474946.2023.2247035.
Nugroho, S.A., Vishnoi, S.C., Taha, A.F., Claudel, C.G., & Banerjee, T. (2022). Where Should Traffic Sensors Be Placed on Highways?. IEEE Transactions on Intelligent Transportation Systems, 23(8), 13026-13039.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/tits.2021.3119211.
Banerjee, T., Gurram, P., & Whipps, G.T. (2021). A Bayesian Theory of Change Detection in Statistically Periodic Random Processes. IEEE Transactions on Information Theory, 67(4), 2562-2580.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/tit.2021.3053149.
Angjelichinoski, M., Choi, J., Banerjee, T., Pesaran, B., & Tarokh, V. (2020). Cross-subject decoding of eye movement goals from local field potentials. Journal of Neural Engineering, 17(1), 016067.IOP Publishing. doi: 10.1088/1741-2552/ab6df3.
Angjelichinoski, M., Banerjee, T., Choi, J., Pesaran, B., & Tarokh, V. (2019). Minimax-optimal decoding of movement goals from local field potentials using complex spectral features. J Neural Eng, 16(4), 046001.IOP Publishing. doi: 10.1088/1741-2552/ab1a1f.
Banerjee, T., Firouzi, H., & Hero, A.O. (2018). Quickest Detection for Changes in Maximal kNN Coherence of Random Matrices. IEEE Transactions on Signal Processing, 66(17), 4490-4503.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/tsp.2018.2855644.
Banerjee, T., & Moustakides, G.V. (2017). Minimax optimality of Shiryaev-Roberts procedure for quickest drift change detection of a Brownian motion. Sequential Analysis, 36(3), 355-369.Taylor & Francis. doi: 10.1080/07474946.2017.1360088.
Chen, Y.C., Banerjee, T., Dominguez-Garcia, A.D., & Veeravalli, V.V. (2016). Quickest Line Outage Detection and Identification. IEEE Transactions on Power Systems, 31(1), 749-758.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/tpwrs.2015.2394246.
Banerjee, T., & Veeravalli, V.V. (2015). Data-Efficient Minimax Quickest Change Detection in a Decentralized System. Sequential Analysis, 34(2), 148-170.Taylor & Francis. doi: 10.1080/07474946.2015.1030971.
Banerjee, T., & Veeravalli, V.V. (2015). Data-Efficient Quickest Change Detection in Sensor Networks. IEEE Transactions on Signal Processing, 63(14), 3767-3775.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/tsp.2015.2432737.
Banerjee, T., & Veeravalli, V.V. (2015). Data-Efficient Minimax Quickest Change Detection With Composite Post-Change Distribution. IEEE Transactions on Information Theory, 61(9), 5172-5184.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/tit.2015.2458864.
Banerjee, T., & Veeravalli, V.V. (2014). Data-Efficient Quickest Change Detection. Sri Lankan Journal of Applied Statistics, 5(4), 183.Sri Lanka Journals Online (JOL). doi: 10.4038/sljastats.v5i4.7790.
Banerjee, T., & Veeravalli, V.V. (2013). Data-Efficient Quickest Change Detection in Minimax Settings. IEEE Transactions on Information Theory, 59(10), 6917-6931.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/tit.2013.2272313.
Banerjee, T., & Veeravalli, V.V. (2012). Data-Efficient Quickest Change Detection with On–Off Observation Control. Sequential Analysis, 31(1), 40-77.Taylor & Francis. doi: 10.1080/07474946.2012.651981.
Banerjee, T., Sharma, V., Kavitha, V., & JayaPrakasam, A.K. (2011). Generalized Analysis of a Distributed Energy Efficient Algorithm for Change Detection. IEEE Transactions on Wireless Communications, 10(1), 91-101.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/twc.2010.110510.091177.
Chen, W., Banerjee, T., George, J., & Busart, C. (2023). Reinforcement Learning with an Abrupt Model Change. In Winter Simulation Conference.San Antonio.
Wu, S., Diao, E., Banerjee, T., Ding, J., & Tarokh, V. (2023). Score-based Change Point Detection for Unnormalized Models. In The 26th International Conference on Artificial Intelligence and Statistics (AISTATS).Palau de Congressos, Valencia, Spain.
Wu, S., Diao, E., Banerjee, T., Ding, J., & Tarokh, V. (2023). Robust Quickest Change Detection for Unnormalized Models. In 39th Conference on Uncertainty in Artificial Intelligence (UAI).Pittsburgh, PA.
Banerjee, T., Brucks, T., & Mishra, R. (2022). Quickest detection of a threat to an impending disaster. In 58th Annual Allerton Conference on Communication, Control, and Computing.Monticello.
Chen, W., Banerjee, T., & John, E. (2022). A Meta-Transfer Learning Approach to ECG Arrhythmia Detection. In Annu Int Conf IEEE Eng Med Biol Soc, 2022, (pp. 1300-1305).Institute of Electrical and Electronics Engineers (IEEE).United States. doi: 10.1109/EMBC48229.2022.9871518.
Banerjee, T., Padhy, S., Taha, A., & John, E. (2021). Quickest Joint Detection and Classification of Faults in Statistically Periodic Processes. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 00, (pp. 5015-5019).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/icassp39728.2021.9414101.
Banerjee, T., Taha, A., & John, E. (2021). Robust Quickest Change Detection in Statistically Periodic Processes. In 2021 IEEE International Symposium on Information Theory (ISIT), 00, (pp. 101-105).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/isit45174.2021.9518067.
Banerjee, T., Gurram, P., & Whipps, G. (2020). Multislot and Multistream Quickest Change Detection in Statistically Periodic Processes. In 2020 IEEE International Symposium on Information Theory (ISIT), 00, (pp. 1147-1152).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/isit44484.2020.9174470.
Vishnoi, S.C., Nugroho, S.A., Taha, A.F., Claudel, C., & Banerjee, T. (2020). Asymmetric Cell Transmission Model-Based, Ramp-Connected Robust Traffic Density Estimation under Bounded Disturbances. In 2020 American Control Conference (ACC), 00, (pp. 1197-1202).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.23919/acc45564.2020.9147391.
Banerjee, T., Allsop, S., Tye, K.M., Ba, D., & Tarokh, V. (2019). Sequential Detection of Regime Changes in Neural Data. In 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 00, (pp. 139-142).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/ner.2019.8716926.
Banerjee, T., Gurram, P., & Whipps, G. (2019). A Sequential Detection Theory for Statistically Periodic Random Processes. In 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 00, (pp. 290-297).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/allerton.2019.8919699.
Banerjee, T., Gurram, P., & Whipps, G. (2019). Bayesian Quickest Detection of Changes in Statistically Periodic Processes. In 2019 IEEE International Symposium on Information Theory (ISIT), 00, (pp. 2204-2208).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/isit.2019.8849824.
Banerjee, T., Gurram, P., & Whipps, G. (2019). QUICKEST DETECTION OF DEVIATIONS FROM PERIODIC STATISTICAL BEHAVIOR. In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 00, (pp. 5351-5355).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/icassp.2019.8683006.
Banerjee, T., Choi, J., Pesaran, B., Ba, D., & Tarokh, V. (2018). Classification of Local Field Potentials using Gaussian Sequence Model. In 2018 IEEE Statistical Signal Processing Workshop (SSP), 00, (pp. 683-687).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/ssp.2018.8450778.
Banerjee, T., Choi, J., Pesaran, B., Ba, D., & Tarokh, V. (2018). Wavelet Shrinkage and Thresholding Based Robust Classification for Brain-Computer Interface. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 00, (pp. 836-840).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/icassp.2018.8462321.
Banerjee, T., Whipps, G., Gurram, P., & Tarokh, V. (2018). CYCLOSTATIONARY STATISTICAL MODELS AND ALGORITHMS FOR ANOMALY DETECTION USING MULTI-MODAL DATA. In 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 00, (pp. 126-130).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/globalsip.2018.8646417.
Banerjee, T., Whipps, G., Gurram, P., & Tarokh, V. (2018). Sequential Event Detection Using Multimodal Data in Nonstationary Environments. In 2018 21st International Conference on Information Fusion (FUSION), 00, (pp. 1940-1947).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.23919/icif.2018.8455835.
Banerjee, T., Liu, M., & How, J.P. (2017). Quickest Change Detection Approach to Optimal Control in Markov Decision Processes with Model Changes. In 2017 American Control Conference (ACC), (pp. 399-405).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.23919/acc.2017.7962986.
Banerjee, T., & Hero, A.O. (2016). Quickest Hub Discovery in Correlation Graphs. In 2016 50th Asilomar Conference on Signals, Systems and Computers, (pp. 1248-1255).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/acssc.2016.7869573.
Banerjee, T., Firouzi, H., & Hero, A.O. (2015). Non-Parametric Quickest Change Detection for Large Scale Random Matrices. In 2015 IEEE International Symposium on Information Theory (ISIT), (pp. 146-150).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/isit.2015.7282434.
Wu, S., Diao, E., Banerjee, T., Ding, J., & Tarokh, V. Score-based Change Point Detection for Unnormalized Models.