Professorship Communications Engineering
Professorship Communications Engineering
Professorship Communications Engineering 

Dr. Dionysia Triantafyllopoulou

Research fellow

Phone: +49 (0)371 / 531-34329
E-Mail:
Mailing address: Technische Universität Chemnitz
Fakultät für Elektrotechnik und Informationstechnik
Professur Nachrichtentechnik
09107 Chemnitz
Germany
Visiting address: Reichenhainer Str. 70
Weinhold-Bau, Raum C25.487 (2/W487)
09126 Chemnitz
Social networks: LinkedIn | Twitter
Dionysia Triantafyllopoulou received her B.Sc. in Computer Science in 2005 and her M.Sc. in Communication Systems and Networks in 2007 from the Department of Informatics and Telecommunications at the University of Athens, Athens, Greece. In 2009 she received her Ph.D. from the same Department. From 2005 to 2011, she worked as a researcher in the Green, Adaptive and Intelligent Networking Group, within the Communication Networks Laboratory of the Dept. of Informatics and Telecommunications, University of Athens. From 2011 to 2023, she worked as a Senior Research Fellow in the Institute for Communication Systems of the University of Surrey, United Kingdom. Currently, she is a Senior Scientific Researcher in the Professorship of Communications Engineering of the Faculty of Electrical Engineering and Information Technology, in Chemnitz University of Technology, Germany.

Research projects

  • AMAZING-6G: Amazing Large-Scale Trials and Pilots for Verticals in 6G
  • 5G-DiGITs: Cross-sectorial education and talent development for beyond 5G Digital and Green Industrial Technologies
  • MNT-PRO: Mobile Network Protector

Supervised courses

  • 243033 - D821 Wireless Broadband Data Reception

A Comprehensive 5G Dataset for Control and Data Plane Security and Resource Management

Autoren: Nugraha, Beny; Hajizadeh, Mehrdad; Niehoff, Tim; Jnanashree, Abhishek Venkatesh; Phan, Trung V.; Triantafyllopoulou, Dionysia; Krause, Oliver; Mieth, Martin; Moessner, Klaus; Bauschert, Thomas
Quelle: 2025 IEEE International Conference on Cyber Security and Resilience (CSR), 04-06 August 2025, Crete, Greece. - IEEE, 2025
Erscheinungsjahr: 2025
ISBN/ ISSN: Electronic ISBN: 979-8-3315-3591-9 ; Print on Demand(PoD) ISBN: 979-8-3315-3592-6

Price of Anarchy in mmWave Backhaul Routing and Link Scheduling

Autoren: Triantafyllopoulou, Dionysia; Kollias, Kostas; Moessner, Klaus
Quelle: In: IEEE Transactions on Cognitive Communications and Networking. - Institute of Electrical and Electronics Engineers (IEEE). 2024, S. 1 - 1
Erscheinungsjahr: 2024
ISBN/ ISSN: Electronic ISSN: 2332-7731 ; CD: 2372-2045

Recent Advances in Machine Learning for Network Automation in the O-RAN

Autoren: Hamdan, Mutasem Q.; Lee, Haeyoung*; Triantafyllopoulou, Dionysia; Borralho, Rúben; Kose, Abdulkadir; Amiri, Esmaeil; Mulvey, David; Yu, Wenjuan; Zitouni, Rafik; Pozza, Riccardo; Hunt, Bernie; Bagheri, Hamidreza; Foh, Chuan Heng; Heliot, Fabien; Chen, Gaojie; Xiao, Pei; Wang, Ning; Tafazolli, Rahim
Quelle: In: Sensors. - MDPI AG. - 23. 2023, 21, 8792
Erscheinungsjahr: 2023
ISBN/ ISSN: 1424-8220

Selfish Routing and Link Scheduling in mmWave Backhaul Networks

Autoren: Triantafyllopoulou, Dionysia; Kollias, Kostas; Moessner, Klaus
Quelle: IEEE International Conference on Communications, Rome, Italy, 28 May 2023 - 01 June 2023, pp. 4200-4205. - IEEE, 2023
Erscheinungsjahr: 2023
ISBN/ ISSN: Electronic ISBN:978-1-5386-7462-8 ; Print on Demand(PoD) ISBN:978-1-5386-7463-5 ; Electronic ISSN: 1938-1883

Swift HARQ Based on Machine Learning for Latency Minimization in URLLC

Autoren: Almarshed, Saleh*; Triantafyllopoulou, Dionysia; Moessner, Klaus
Quelle: In: IEEE Access. - Institute of Electrical and Electronics Engineers (IEEE). 2023, S. 1 - 1
Erscheinungsjahr: 2023
ISBN/ ISSN: 2169-3536

Deep Learning-Based Estimator for Fast HARQ Feedback in URLLC

Autoren: AlMarshed, Saleh; Triantafyllopoulou, Dionysia; Moessner, Klaus
Quelle: 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 13-16 Sept. 2021, Helsinki, Finland. - IEEE, 2021
Erscheinungsjahr: 2021
ISBN/ ISSN: Electronic ISBN:978-1-7281-7586-7 ; Print on Demand(PoD) ISBN:978-1-7281-7587-4 ; Electronic ISSN: 2166-9589 ; Print on Demand(PoD) ISSN: 2166-9570

Supervised Learning for Enhanced Early HARQ Feedback Prediction in URLLC

Autoren: AlMarshed, Saleh; Triantafyllopoulou, Dionysia; Moessner, Klaus
Quelle: 2020 IEEE International Conference on Communication, Networks and Satellite (Comnetsat 2020) (Batam, Indonesia, 17/12/2020 - 18/12/2020). - IEEE, 2020
Erscheinungsjahr: 2020
ISBN/ ISSN: 978-0-7381-2517-6 ; 978-1-6654-1861-4
To list my publications follow the links.
Universitätsbibliographie TU Chemnitz
ORCiD
Google Scholar

Attended scientific conferences

Title Year Place
T YYYY PLACE
T-1 YYYY PLACE