Vahid Tarokh, Rhodes Family Professor of Electrical and Computer Engineering and Professor of Mathematics and Computer Science

Vahid Tarokh

Vahid 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.

Office Location:  
Office Phone:  (919) 660-5252
Email Address: send me a message
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Recent Publications

  1. 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 (September, 2018), pp. 4414-4418, ISBN 9781538646588 [doi]  [abs]
  2. 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 (September, 2018), pp. 1940-1947 [doi]  [abs]
  3. 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 (August, 2018), pp. 218-222 [doi]  [abs]
  4. Ding, J; Shahrampour, S; Heal, K; Tarokh, V, Analysis of Multistate Autoregressive Models, Ieee Transactions on Signal Processing, vol. 66 no. 9 (May, 2018), pp. 2429-2440 [doi]
  5. Magnusson, S; Enyioha, C; Li, N; Fischione, C; Tarokh, V, Convergence of Limited Communication Gradient Methods, Ieee Transactions on Automatic Control, vol. 63 no. 5 (May, 2018), pp. 1356-1371 [doi]