M.Eng. Sifat Rezwan

PhD Researcher | Google Scholar

Sifat Rezwan received his B.Sc. degree in Electrical and Electronic Engineering from North South University, Bangladesh, in 2018. Then, he obtained his M.Eng. degree in Computer Engineering from Chosun University, South Korea, in 2022. During 2019–2020, he was with Grameenphone Ltd. (Telenor group), where he was involved in transmission network operations and automation and received the top performer award in 2020. He is currently pursuing his Ph.D. at Technische Universität Dresden.

Contact

Office: I/40, “Barkhausenbau (BAR)“, Georg-Schumann-Str. 11, 01187 Dresden, Germany.
Email: sifat.rezwan@tu-dresden.de

Phone: +49 351 463-43919

Research interests

  • Post-Shannon communication methods
  • Network Functional Compression
  • Resource optimization for 5G and 6G networks
  • In-network computing

He is currently working with Post-Shannon communication to increase the network capacity with functional compression and in-network computing.

 

Teaching

Winter 23/24

Winter 22/23

Awards

  • Best Demo of the IEEE Consumer Communications & Networking Conference 2024 in Las Vegas, USA

Posters

  • “Functional Compression For Goal-oriented Communication”, Workshop on Information Theory and Related Fields In Memory of Ning Cai, ZiF Bielefeld, Germany, 24th November to 26th November 2023.

Reviews

  • IEEE European Wireless 2022
  • IEEE Communications Letters
  • IEEE Internet of Things Journal
  • IEEE European Wireless 2023

Publications

21 entries « 1 of 3 »

2024

Rezwan, Sifat; vom Hofe, Nico; Hofer, Johannes; Cabrera, Juan A.; Fitzek, Frank H. P.

Testbed for Semantic Compression-based Networked Immersion Using Boston Dynamics Spot Proceedings Article

In: IEEE Future Networks World Forum (FNWF), Dubai, UAE, 2024.

BibTeX

Rezwan, Sifat; Cabrera, Juan A.; Fitzek, Frank H. P.

Balancing Beyond-Shannon: Demonstration of Functional Compression using a Balancing Robot Proceedings Article

In: 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC 2024), pp. 2, Las Vegas, USA, 2024.

BibTeX

2023

Rezwan, Sifat; Chun, Chanjun; Choi, Wooyeol

Federated Deep Reinforcement Learning-Based Multi-UAV Navigation for Heterogeneous NOMA Systems Journal Article

In: IEEE Sensors Journal, pp. 1-1, 2023.

Links | BibTeX

Rezwan, Sifat; Wu, Huanzhuo; Cabrera, Juan A.; Nguyen, Giang T.; Reisslein, Martin; Fitzek, Frank H. P.

cXR+ Voxel-Based Semantic Compression for Networked Immersion Journal Article

In: IEEE Access, vol. 11, pp. 52763-52777, 2023.

Links | BibTeX

Rezwan, Sifat; Cabrera, Juan A.; Fitzek, Frank H. P.

Functional Compression for Networked Applications in Practice Proceedings Article

In: European Wireless (EW), Rome, Italy, 2023.

BibTeX

2022

Rezwan, Sifat; Cabrera, Juan A.; Fitzek, Frank H. P.

Network Functional Compression for Control Applications Proceedings Article

In: International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Male, Maldives, 2022.

Links | BibTeX

Choi, Wooyeol; Rezwan, Sifat

TRANSMISSION POWER ALLOCATION METHOD BASED ON USER CLUSTERING AND REINFORCEMENT LEARNING Patent

20220159586, 2022.

Links | BibTeX

Rezwan, Sifat; Choi, Wooyeol

Artificial Intelligence Approaches for UAV Navigation: Recent Advances and Future Challenges Journal Article

In: IEEE Access, vol. 10, pp. 26320-26339, 2022.

Links | BibTeX

2021

Rezwan, Sifat; Choi, Wooyeol

Priority-Based Joint Resource Allocation With Deep Q-Learning for Heterogeneous NOMA Systems Journal Article

In: IEEE Access, vol. 9, pp. 41468-41481, 2021.

Links | BibTeX

Rezwan, Sifat; Choi, Wooyeol

A survey on applications of reinforcement learning in flying ad-hoc networks Journal Article

In: Electronics, vol. 10, no. 4, pp. 449, 2021.

BibTeX

21 entries « 1 of 3 »