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 at the Department of Communications Engineering, University of Bremen, Germany. He received the B.Sc. degree in electrical engineering (in electronics) from University of Mazandaran, Iran, in 2011, the M.Sc. degree (with outstanding performance) in communications engineering from University of Ulm, Germany, in 2014, and the Dr.-Ing. degree (with summa cum laude) in electrical engineering from University of Bremen, Germany, in 2022. Over the last couple of years, he has been prolifically contributing to the top-level 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 the application of machine learning in the design of communication systems. Dr. Hassanpour won the 2021’s VDE ITG prize and the 2023’s OHB PhD prize for an outstanding scientific publication and his doctoral dissertation, respectively.
Forschung
- AI for Satellite 5G Communications (AIComS)
- Holistische 3D-Kommunikationsnetze für 6G (6G-TakeOff)
- Ganzheitliche Ansätze für Mobilfunknetze der 6. Generation (6G-ANNA)
- Open 6G Hub
- TACNET 4.0
- Characteristic Information Processing on the Physical Layer for Massive Communications (CIPMaC)
Lehre
Publikationen
2024
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Deep FAVIB: Deep Learning-Based Forward-Aware Quantization via Information Bottleneck Method
BibTEX
M. Hummert, S. Hassanpour, D. Wübben, A. Dekorsy
IEEE International Conference on Communications (ICC), Denver, CO, USA, 9. - 13. Juni 2024 -
Deep Learning-Based Forward-Aware Quantization for Satellite-Aided Communications via Information Bottleneck Method
BibTEX
M. Hummert, S. Hassanpour, D. Wübben, A. Dekorsy
2024 EuCNC & 6G Summit, Antwerp, Belgien, 3. - 6. Juni 2024
2022
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Source & Joint Source-Channel Coding Schemes Based on the Information Bottleneck Framework
BibTEX
S. Hassanpour
Dissertation, Shaker Verlag, Bremen, Deutschland, August 2022, ISBN 978-3-8440-8743-7
2021
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Forward-Aware Information Bottleneck-Based Vector Quantization: Multiterminal Extensions for Parallel and Successive Retrieval
BibTEX
S. Hassanpour, D. Wübben, A. Dekorsy
IEEE Transactions on Communications, Vol. 69, No. 10, pp. 6633-6646, Oktober 2021, DOI
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
IEEE Global Communications Conference (GLOBECOM 2020), 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, 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
IEEE Global Communications Conference (GLOBECOM 2019), 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
IEEE Global Communications Conference (GLOBECOM 2018), 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
10th Int. Symposium on Turbo Codes & Iterative Information Processing (ISTC 2018), 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
25th Int. Conference on Telecommunication (ICT 2018), Saint-Malo, Frankreich, 26. - 28. Juni 2018, DOI
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
Persönliche Links
