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Farnaz Sedighin , PhDAssistant Professor
School :School of Advanced Technologies in MedicineDepartment :Department of Bioelectrics and Biomedical EngineeringResearch Center :Medical Image and Signal Processing Research Centerwork address :Afarinesh building, Isfahan University of Medical Sciences, Isfahan, IranEducation :8/2023–10/2023 Visiting Scientist, RIKEN Center for Advanced Intelligence Projects (AIP), Tensor Learning Team, Tokyo, Japan. 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 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 :Extra Curricular Activities/ Interest(personal url) :Grants & Awards :2015 National Elites foundation academic award. 2016 National Elites foundation academic award. Patents :Presentations & Poster Sessions :- 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. [4] F. Sedighin, A. Cichocki "Image Completion in Embedded Space Using Multistage Tensor Ring Decomposition", Frontiers in Artificial Intelligence, vol.4, 2021. 3/4 [5] F. Sedighin "Tensor Ring Based Image Enhancement", to be appeared in Journal of Medical Signals and Sensors, 2024. [6] F. Sedighin "Tensor Methods in biomedical image analysis", to be appeared in Journal of Medical Signals and Sensors, 2024. Research Interests :Signal and Image Processing Tensor Decomposition Tensor Completion Teaching Experience :Teaching Interests : |