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Math @ Duke





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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.

Contact Info:
Office Location:  Rhodes Information Initiative at Duke, 327 Gross Hall , 140 Science Drive, Durha
Office Phone:  (919) 660-7594
Email Address: send me a message
Web Page:  http://www.duke.edu/~vt45

Teaching (Fall 2019):

  • ECE 590D.002, ADVANCED TOPICS IN ECE Synopsis
    FITZPATRK 1464/1466, MW 10:05 AM-11:20 AM
  • ECE 590D.07D, ADVANCED TOPICS IN ECE Synopsis
    Hudson 208, M 04:40 PM-05:55 PM
  • ECE 590D.08D, ADVANCED TOPICS IN ECE Synopsis
    Hudson 125, Tu 03:05 PM-04:20 PM
  • ECE 590D.09D, ADVANCED TOPICS IN ECE Synopsis
    Hudson 208, Tu 04:40 PM-05:55 PM
  • ECE 590D.10D, ADVANCED TOPICS IN ECE Synopsis
    Hudson 125, W 04:40 PM-05:55 PM
  • ECE 590D.11D, ADVANCED TOPICS IN ECE Synopsis
    Hudson 125, Th 03:05 PM-04:20 PM
  • ECE 590D.12D, ADVANCED TOPICS IN ECE Synopsis
    Hudson 212, Th 04:40 PM-05:55 PM
Recent Publications   (More Publications)

  1. Banerjee, T; Allsop, S; Tye, KM; Ba, D; Tarokh, V, Sequential Detection of Regime Changes in Neural Data, International Ieee/Embs Conference on Neural Engineering, Ner, vol. 2019-March (May, 2019), pp. 139-142 [doi]  [abs]
  2. Ding, J; Zhou, J; Tarokh, V, Asymptotically Optimal Prediction for Time-Varying Data Generating Processes, Ieee Transactions on Information Theory, vol. 65 no. 5 (May, 2019), pp. 3034-3067 [doi]  [abs]
  3. Angjelichinoski, M; Banerjee, T; Choi, J; Pesaran, B; Tarokh, V, Minimax-optimal decoding of movement goals from local field potentials using complex spectral features., Journal of Neural Engineering, vol. 16 no. 4 (April, 2019), pp. 046001 [doi]  [abs]
  4. Xiang, Y; Ding, J; Tarokh, V, Estimation of the evolutionary spectra with application to stationarity test, Ieee Transactions on Signal Processing, vol. 67 no. 5 (March, 2019), pp. 1353-1365, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC [doi]  [abs]
  5. Banerjee, T; Whipps, G; Gurram, P; Tarokh, V, Cyclostationary statistical models and algorithms for anomaly detection using multi-modal data, 2018 Ieee Global Conference on Signal and Information Processing, Globalsip 2018 Proceedings, vol. abs/1807.06945 (February, 2019), pp. 126-130 [doi]  [abs]

 

dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821

Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320