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Rhodes Family Professor of Electrical and Computer EngineeringVahid Tarokh’s research is in pursuing new formulations and approaches to getting the most out of datasets. Current projects are focused on representation, modeling, inference and prediction from data such as determining how different people will respond to exposure to certain viruses, predicting rare events from small amounts of data, formulation and calculation of limits of learning from observations, and prediction of a macaque monkey's future actions from its brain waves.
Appointments and Affiliations
- Rhodes Family Professor of Electrical and Computer Engineering
- Professor of Electrical and Computer Engineering
- Professor of Computer Science
- Professor of Mathematics
- Email Address: email@example.com
Representation, modeling, inference and prediction from data
- Ding, J; Diao, E; Zhou, J; Tarokh, V, A Penalized Method for the Predictive Limit of Learning, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol 2018-April (2018), pp. 4414-4418 [10.1109/ICASSP.2018.8461832] [abs].
- Banerjee, T; Whipps, G; Gurram, P; Tarokh, V, Sequential Event Detection Using Multimodal Data in Nonstationary Environments, 2018 21st International Conference on Information Fusion, Fusion 2018 (2018), pp. 1940-1947 [10.23919/ICIF.2018.8455835] [abs].
- Banerjee, T; Choi, J; Pesaran, B; Ba, D; Tarokh, V, Classification of Local Field Potentials using Gaussian Sequence Model, 2018 Ieee Statistical Signal Processing Workshop, Ssp 2018 (2018), pp. 218-222 [10.1109/SSP.2018.8450778] [abs].
- Ding, J; Tarokh, V; Yang, Y, Bridging AIC and BIC: A New Criterion for Autoregression (2018), pp. 4024-4043 [10.1109/TIT.2017.2717599] [abs].
- Ding, J; Shahrampour, S; Heal, K; Tarokh, V, Analysis of Multistate Autoregressive Models, Ieee Transactions on Signal Processing, vol 66 no. 9 (2018), pp. 2429-2440 [10.1109/TSP.2018.2811757] [abs].