Dr.
Research Associate
Máté Tömösközi

Máté Tömösközi is a post-doctoral researcher at the Deutsche Telekom Chair of Communication Networks,Technische Universität Dresden (Germany). He received his Ph.D. title in 2021 from TU Dresden and his M.Sc. from the Budapest University of Technology and Economics (Hungary) in 2013. He worked as a software engineer for acticom GmbH (Germany) between 2012-2015 where he developed and researched various header compression implementations, during which time he also took part of the EU funded CODELANCE Marie Curie research project. He is the author of numerous peer-reviewed scientific papers related to header compression and network coding.

 

Publications:
1.

Huanzhuo Wu; Máté Tömösközi; Riccardo Bassoli; Jiajing Zhang; Frank H. P. Fitzek

Experimental proof of the energy advantage of in-network intelligence (Proceedings Article)

In: Proceedings of the International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2022.

(Links | BibTeX)

2.

Huanzhuo Wu; Jia He; Máté Tömösközi; Jiajing Zhang; Frank H. P. Fitzek

You only hear once: Lightweight in-network ai design for multi-object anomaly detection (Proceedings Article)

In: Proceedings of the IEEE Mediterranean Electrotechnical Conference (MELECON), 2022.

(Links | BibTeX)

3.

Máté Tömösközi; Martin Reisslein; Frank H. P. Fitzek

Packet header compression: A principle-based survey of standards and recent research studies (Journal Article)

In: IEEE Communications Surveys & Tutorials, vol. 24, no. 1, pp. 698–740, 2022.

(Links | BibTeX)

4.

Huanzhuo Wu; Yunbin Shen; Máté Tömösközi; Giang T. Nguyen; Frank H. P. Fitzek

Demonstration of in-network audio processing for low-latency anomaly detection in smart factories (Proceedings Article)

In: Proceedings of the Consumer Communications & Networking Conference (CCNC), 2022.

(Links | BibTeX)

5.

Máté Tömösközi; Maroua Taghouti; Huanzhuo Wu; Frank H. P. Fitzek

Bitteiler: Demonstration efficient and communications (Proceedings Article)

In: Proceedings of the Consumer Communications & Networking Conference (CCNC), 2022.

(Links | BibTeX)

6.

Elif Tasdemir; Máté Tömösközi; Juan A. Cabrera Guerrero; Frank Gabriel; Dongho You; Frank H. P. Fitzek; Martin Reisslein

SpaRec: Sparse systematic RLNC recoding in multi-hop networks (Journal Article)

In: IEEE Access, vol. 9, pp. 168567–168586, 2021.

(Links | BibTeX)

7.

Huanzhuo Wu; Jia He; Máté Tömösközi; Zuo Xiang; Frank H. P. Fitzek

In-network processing for low-latency industrial anomaly detection in softwarized networks (Proceedings Article)

In: Proceedings of the IEEE Global Communications Conference (Globecom), 2021.

(Links | BibTeX)

8.

Huanzhuo Wu; Jia He; Máté Tömösközi; Frank H. P. Fitzek

Abstraction-based multi-object acoustic anomaly detection for low-complexity big data analysis (Proceedings Article)

In: Proceedings of the IEEE International Conference on Communications (ICC), Workshop on Communication, Computing, and Networking in Cyber-Physical Systems (CCN-CPS), 2021.

(Links | BibTeX)

9.

Elif Tasdemir; Máté Tömösközi; Hani Salah; Frank H. P. Fitzek

Low-latency sliding-window recoding (Proceedings Article)

In: Proceedings of the IEEE Vehicular Technology Conference (VTC-Spring), 2021.

(Links | BibTeX)

10.

Huanzhuo Wu; Jia He; Máté Tömösközi; Frank H. P. Fitzek

Y-Net: A dual path model for high accuracy blind source separation (Proceedings Article)

In: Proceedings of the IEEE Global Communications Conference (Globecom), Workshop on Future of Wireless Access for Industrial IoT (FIIoT), 2020.

(Links | BibTeX)