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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:  
Office Phone:  (919) 660-5252
Email Address: send me a message
Web Page:  http://www.duke.edu/~vt45

Teaching (Fall 2019):

  • ECE 590.06, ADVANCED TOPICS IN ECE Synopsis
    FITZPATRK 1464/1466, MW 10:05 AM-11:20 AM
Recent Publications   (More Publications)

  1. 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]
  2. 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]
  3. Shahrampour, S; Beirami, A; Tarokh, V, Supervised Learning Using Data-dependent Random Features with Application to Seizure Detection, Proceedings of the Ieee Conference on Decision and Control, vol. 2018-December (January, 2019), pp. 1168-1173, ISBN 9781538613955 [doi]  [abs]
  4. Shao, S; Jacob, PE; Ding, J; Tarokh, V, Bayesian Model Comparison with the Hyv√§rinen Score: Computation and Consistency, Journal of the American Statistical Association (January, 2019) [doi]  [abs]
  5. Ding, J; Tarokh, V; Yang, Y, Model Selection Techniques: An Overview, Ieee Signal Processing Magazine, vol. 35 no. 6 (November, 2018), pp. 16-34, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs]

 

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

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