farnaz-sedighin's picture

Farnaz Sedighin, PhD

Assistant Professor

Isfahan University of Medical Sciences

School: 
School of Advanced Technologies in Medicine

Research Center: 
Medical Image and Signal Processing Research Center

Email: 

  Google Scholar

  Scopus

  Research Gate

  Orcid

  CV

Overview:

2021-Present   Research Assistant Professor, Medical Image and Signal Processing Research Center,
Isfahan University of Medical Sciences, Isfahan, Iran
 

2019-2021  Research Scientist, Computational and Data-Intensive Science and Engineering Department, Skolkovo Institute of Science and Technology (Skoltech), Moscow, Russia

Awards:

2015 National Elites foundation academic award.
2016 National Elites foundation academic award.
 

Education:

7/2019–2021 Postdoc on Tensor Analysis, Skolkovo Institute of Science and Technology (Skoltech), Moscow, Russia.

9/2012–2/2018 Ph.D. on Signal Processing, Sharif University of Technology, Tehran, IRAN.

9/2007–2/2010 M.Sc. on communication, Isfahan University of Technology, Isfahan, IRAN.

9/2003–9/2007 B.Sc. on Electrical Engineering, Isfahan University of Technology, Isfahan, IRAN.

9/1999–9/2003 Diploma in the field of mathematics, Farzanegan Amin highschool (A National Organization for Development of Exceptional Talents (NODET)), Isfahan, IRAN.
 

Journal Papers:
[1] F. Sedighin, M. Babaie-Zadeh, B. Rivet and C. Jutten, "Multimodal Soft Nonnegative Matrix Co-Factorization for Convolutive Source Separation” IEEE Transactions on Signal Processing, vol. 65, no. 12, pp. 3179-3190, 2017.https://ieeexplore.ieee.org/abstract/document/7874217/

[2] F. Sedighin, A. Cichocki, T.Yokota and Q.Shi, "Matrix and Tensor Completion in Multiway Delay Embedded Transform Using Tensor Train, with Application to Signal Reconstruction" IEEE Signal Processing Letters, pp. 810–814, Apr. 2020.https://ieeexplore.ieee.org/abstract/document/9078764

[3] F. Sedighin, A. Cichocki, A-H. Phan, "Adaptive Rank Selection for Tensor Ring Decomposition", Accepted in IEEE Journal of Selected Topics in Signal Processing, 2021.