Behrooz Razeghi   

Biography

I was born in August 1989 in Mashhad, Iran. I am a PhD student in the Department of Computer Sciences at University of Geneva, and a member of the Stochastic Information Processing (SIP) group. I spent six months as a Research Fellow in the Learning, Information and Knowledge group at Harvard University. Before joining SIP group on March 2017, I received the M.Sc. degree in Electrical Engineering (Communications) from Ferdowsi University of Mashhad, Iran, in 2014, and the M.Sc. degree in Mathematics (Numerical Analysis) from Iran University of Science and Technology, Iran, in 2017. I am very lucky to be advised by Professor Slava Voloshynovskiy.

Research Interests

My research interests are the applications of mathematical and statistical theories to signal processing, machine learning, data privacy, communications and networking problems.

For more information about my academic experiences please refer to my homepage.

Profiles

Google Scholar

Homepage

Linkedin

ResearchGate

GitHub

Publons

Teaching

I am teaching assistant for:

  • Éléments de la theorie de l'information (Elements of Information Theory) - a bachelor's course (in French)
  • Structures de données (Data Structure) - a bachelor's course (in French)
  • Multiuser Information Theory and Wireless Communications - a master's course (in English)

Publications

Please refer to my Google Scholar profile for full list of publication. 

This is what Wordle thinks of my publication titles.

 

behrooz-wordle.png

  • B. Razeghi, S. Voloshynovskiy, D. Kostadinov, and O. Taran, "Privacy Preserving Identification Using Sparse Approximation with Ambiguization," in Proc. IEEE International Workshop on Information Forensics and Security (WIFS), Rennes, France, 2017, pp. 1-6. [pdf|bib]
  • D. Kostadinov, B. Razeghi, S.Voloshynovskiy, and S.Ferdowsi, "Learning Discrimination Specific, Self-Collaborative and Nonlinear Model," in Proc. IEEE Internacial Conference on Big Knowlage (ICBK), Singapore, 2018. [pdf|bib]
  • B. Razeghi, S. Voloshynovskiy, S. Ferdowsi, and D. Kostadinov, "Privacy-Preserving Identification via Layered Sparse Code Design: Distributed Servers and Multiple Access Authorization," in Proc. 26th European Signal Processing Conference (EUSIPCO), Rome, Italy, 2018. [pdf|bib]
  • B. Razeghi and S. Voloshynovskiy, "Privacy-Preserving Outsourced Media Search Using Secure Sparse Ternary Codes," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Alberta, Canada, 2018. [pdf|bib]
  • D. Kostadinov, B. Razeghi, S. Rezaeifar, and S. Voloshynovskiy, "Supervised Joint Nonlinear Transform Learning with Discriminative-Ambiguous Prior for Generic Privacy-Preserved Features," in Proc. 53rd Annual Conference on Information Systems & Sciencese (CISS), Maryland, USA, 2019. [pdf|bib]
  • M. Gheisari, T. Furon, L. Amsaleg, B. Razeghi, and S. Voloshynovskiy, "Aggregation and Embedding for Group Membership Verification," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, 2019. [pdf|bib]
  • S. Rezaeifar, B. Razeghi, O. Taran, T. Holotyak, and S. Voloshynovskiy, "Reconstruction of privacy-sensitive data from protected templates," in Proc. IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 2019. [pdf|bib]
  • B. Razeghi, T. Stanko, B. Škoric´, and S. Voloshynovskiy, "Single-Component Privacy Guarantees in Helper Data Systems and Sparse Coding with Ambiguation," in Proc. IEEE International Workshop on Information Forensics and Security (WIFS), Delft, Netherlands, 2019. [pdf|bib]
  • B. Razeghi, F. P. Calmon, D. Gündüz, and S. Voloshynovskiy, "On Perfect Obfuscation: Local Information Geometry Analysis," in Proc. IEEE International Workshop on Information Forensics and Security (WIFS), New York, US, 2020. [pdf|bib]
  • S. Rezaeifar, M. Diephuis, B. Razeghi, O. Taran, D. Ullmann, and S. Voloshynovskiy, "Distributed Semi-Private Image Classification Based on Information-Bottleneck Principle," in Proc. 28th European Signal Processing Conference (EUSIPCO), Amsterdam, Netherlands, 2020. [pdf|bib]
  • S. Ferdowsi, B. Razeghi, T. Holotyak, F. P. Calmon, and S. Voloshynovskiy, "Privacy-Preserving Image Sharing via Sparsifying Layers on Convolutional Groups," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020. [pdf|bib]
  • B. Razeghi, S. Ferdowsi, D. Kostadinov, F. P. Calmon, and S. Voloshynovskiy, "Privacy-Preserving Near Neighbor Search via Sparse Coding with Ambiguation," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, Ontario, Canada, 2021. [pdf|bib]