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Math @ Duke





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Vahid Tarokh, Rhodes Family Distinguished Professor of Electrical and Computer Engineering

Vahid Tarokh

Vahid Tarokh’s research is in pursuing new formulations and approaches to getting the most out of datasets.

Please note: Vahid has left the Mathematics department at Duke University; some info here might not be up to date.

Contact Info:
Office Location:  130 Hudson Hall, Durham, NC 27708
Office Phone:  (919) 660-7594
Email Address: send me a message
Web Page:  http://www.duke.edu/~vt45

Teaching (Spring 2024):

  • ECE 689.01, ADV TOPICS IN DEEP LEARNING Synopsis
    Hudson 207, MW 10:05 AM-11:20 AM
    (also cross-listed as COMPSCI 676.01)
Teaching (Fall 2024):

  • ECE 685D.001, INTRO TO DEEP LEARNING Synopsis
    021, MW 10:05 AM-11:20 AM
    (also cross-listed as COMPSCI 675D.001)
  • ECE 685D.002, INTRO TO DEEP LEARNING Synopsis
    021, MW 10:05 AM-11:20 AM
    (also cross-listed as COMPSCI 675D.002)
  • ECE 685D.01D, INTRO TO DEEP LEARNING Synopsis
    132, Tu 04:40 PM-05:55 PM
    (also cross-listed as COMPSCI 675D.01D)
  • ECE 685D.02D, INTRO TO DEEP LEARNING Synopsis
    Hudson 125, W 03:05 PM-04:20 PM
    (also cross-listed as COMPSCI 675D.02D)
  • ECE 685D.03D, INTRO TO DEEP LEARNING Synopsis
    132, Th 04:40 PM-05:55 PM
    (also cross-listed as COMPSCI 675D.03D)
Recent Publications   (More Publications)

  1. Soloveychik, I; Tarokh, V, Region selection in Markov random fields: Gaussian case, Journal of Multivariate Analysis, vol. 196 (July, 2023) [doi]  [abs]
  2. Hasan, A; Pereira, JM; Farsiu, S; Tarokh, V, Identifying Latent Stochastic Differential Equations, Ieee Transactions on Signal Processing, vol. 70 (January, 2022), pp. 89-104 [doi]  [abs]
  3. Huo, Q; Shi, Y; Liu, C; Tarokh, V; Ferrari, S, Online Action Change Detection for Automatic Vision-based Ground Control of Aircraft, Aiaa Science and Technology Forum and Exposition, Aiaa Scitech Forum 2022 (January, 2022), ISBN 9781624106316 [doi]  [abs]
  4. Momenifar, M; Diao, E; Tarokh, V; Bragg, AD, Dimension reduced turbulent flow data from deep vector quantisers, Journal of Turbulence, vol. 23 no. 4-5 (January, 2022), pp. 232-264 [doi]  [abs]
  5. Le, CP; Soltani, M; Dong, J; Tarokh, V, Fisher Task Distance and its Application in Neural Architecture Search, Ieee Access, vol. 10 (January, 2022), pp. 47235-47249 [doi]  [abs]

 

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

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