Dr.-Ing. Shayan Hassanpour (Post-Doc)
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Adresse: Universität Bremen Arbeitsbereich Nachrichtentechnik Otto-Hahn-Allee NW1 28359 Bremen
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Short Bio
Dr. Shayan Hassanpour is currently working as a Post-Doctoral Researcher in the Department of Communications Engineering at the University of Bremen, Germany. He received the B.Sc. degree in electrical engineering (electronics) from the University of Mazandaran, Iran, in 2011, the M.Sc. degree (program's award winner) in communications engineering from the Ulm University, Germany, in 2014, and the Dr.-Ing. degree (summa cum laude) in electrical engineering (communications) from the University of Bremen, Germany, in 2022. Over the last couple of years, he has been prolifically contributing to the top-tier international journals and IEEE flagship conferences on his PhD topic, that is, the Information Bottleneck method. His other research interests include information theory, MU/MIMO systems, wireless/mobile communications, statistical signal processing, and applications of modern deep learning in the design of communication systems. Dr. Hassanpour received the 2021’s VDE/ITG best paper award and the 2023’s OHB best doctoral dissertation award.
Forschung
- AI for Satellite 5G Communications (AIComS)
- Holistische 3D-Kommunikationsnetze für 6G (6G-TakeOff)
- 6G-Access, Network of Networks, Automation & Simplification (6G-ANNA)
- Open6GHub (6G für Mensch, Umwelt & Gesellschaft)
- TACNET 4.0
- Characteristic Information Processing on the Physical Layer for Massive Communications (CIPMaC)
Lehre
Publikationen
2020
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Generalized Distributed Information Bottleneck for Fronthaul Rate Reduction at the Cloud-RANs Uplink
BibTEX
S. Hassanpour, D. Wübben, A. Dekorsy
2020 IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, 7. - 11. Dezember 2020, DOI -
Forward-Aware Information Bottleneck-Based Vector Quantization for Noisy Channels
BibTEX
S. Hassanpour, T. Monsees, D. Wübben, A. Dekorsy
IEEE Transactions on Communications (TCOM), Vol. 68, No. 12, pp. 7911-7926, Dezember 2020, DOI
2019
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A Novel Approach to Distributed Quantization via Multivariate Information Bottleneck Method
BibTEX
S. Hassanpour, D. Wübben, A. Dekorsy
2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, 9. - 13. Dezember 2019, DOI
2018
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A Graph-Based Message Passing Approach for Noisy Source Coding via Information Bottleneck Principle
BibTEX
S. Hassanpour, D. Wübben, A. Dekorsy
2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, Vereinigte Arabische Emirate, 9. - 13. Dezember 2018, DOI -
A Graph-Based Message Passing Approach for Joint Source-Channel Coding via Information Bottleneck Principle
BibTEX
S. Hassanpour, D. Wübben, A. Dekorsy
2018 International Symposium on Turbo Codes & Iterative Information Processing (ISTC), Hong Kong, China, 3. - 7. Dezember 2018, DOI -
On the Equivalence of Two Information Bottleneck-Based Routines Devised for Joint Source-Channel Coding
BibTEX
S. Hassanpour, D. Wübben, A. Dekorsy
2018 International Conference on Telecommunication (ICT), Saint-Malo, Frankreich, 26. - 28. Juni 2018, DOI -
On the Equivalence of Double Maxima and KL-Means for Information Bottleneck-Based Source Coding
BibTEX
S. Hassanpour, D. Wübben, A. Dekorsy
2018 IEEE Wireless Communications and Networking Conference (WCNC), Barcelona, Spanien, 15. - 18. April 2018, DOI
2017
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On the Relation Between the Asymptotic Performance of Different Algorithms for Information Bottleneck Framework
BibTEX
S. Hassanpour, D. Wübben, A. Dekorsy, B. Kurkoski
2017 IEEE International Conference on Communications (ICC), Paris, Frankreich, 21. - 25. Mai 2017, DOI -
Overview and Investigation of Algorithms for the Information Bottleneck Method
BibTEX
S. Hassanpour, D. Wübben, A. Dekorsy
2017 International ITG Conference on Systems, Communications and Coding (SCC), Hamburg, Deutschland, 6. - 9. Februar 2017
Persönliche Links
Betreute Arbeiten
- 0 / 0 / 0 Elektrotechnische Projekte (BSc.)
- 0 / 0 / 0 Vertiefungsprojekte (BSc.)
- 0 / 0 / 0 Bachelorarbeiten (BSc.)
- 0 / 0 / 0 Projekte (MSc)
- 0 / 0 / 2 Masterarbeiten (MSc)
- 0 / 0 / 2 Insgesamt
zu vergeben / in Arbeit / abgeschlossen
