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farnaz.sedighin

Farnaz Sedighin , PhD

Assistant Professor


  • Phone: 09130000000
  • Email: farnaz.sedighin@gmail.com
  • Date of birth :
  • CV: FSedighinCV_0.pdf (224.29 KB)

School :

School of Advanced Technologies in Medicine

Department :

Department of Medicinal Chemistry

Research Center :

Medical Image and Signal Processing Research Center

work address :

00

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.  

Relevant Work Experience :

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

Professional Memberships & Qualification :

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

Extra Curricular Activities/ Interest(personal url) :



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Presentations & Poster Sessions :

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Research Experience :

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.  

Research Interests :



Teaching Experience :

Teaching Interests :