AI-based methods for network control, automation and cyber security
AI-based methods for network control, automation and cyber security
The Chair of Communication Networks at the Technical University of Chemnitz (TUC), Germany, is a research unit that deals with the development of methods and architectures for flexible and reliable communication in fixed and wireless networks. Key research areas are new network architectures and concepts, network planning and optimization as well as network security. The current focus is on the development of AI-based methods for software-defined mobile and IP-Optical networks. The research group collaborates with several other universities and companies due to its participation in national and international research projects, such as ROBUKOM, VINO, MEVICO, SIGMONA, SENDATE-Secure CDI, AI-NET-PROTECT and SUSTAINET-Advance.
Key potential research contributions and added-value to this call: Methods for cross-domain energy optimization and resilience, robust network design and total cost of ownership (TCO) analysis, methods for AI-assisted Network Control, Orchestration and Automation, methods for protocol design and evaluation, as well as methods for detection and rapid mitigation of cyber security attacks in communication network infrastructures.
- STREAM-B-01-01: Advanced Architectures Systems and Technologies
- STREAM-B-03-02: Higher Speed Optical Access Networks and future end-to-end Packet Optical Network Architecture in 6G
- 6G Core Networks
- Backhaul solutions
- Cognitive Network Management
- Flexible back/front-hauling networks
- High Availability solutions
- Optical Technologies
- Resilience
- Software Networks
- Sustainability
Contact
Name: Ronald Romero-ReyesCompany: Technische Universität Chemnitz
Type of Organisation: University
Country: Germany
Web: https://www.tu-chemnitz.de/etit/kn/professur/index.php
Telephone: +49 371 531-34186
Brief description of my Organisation
The Chair of Communication Networks at the Technical University of Chemnitz (TUC), Germany, is a research unit that deals with the development of methods and architectures for flexible and reliable communication in fixed and wireless networks. Key research areas are new network architectures and concepts, network planning and optimization as well as network security. The current focus is on the development of AI-based methods for software-defined mobile and IP-Optical networks. The research group collaborates with several other universities and companies due to its participation in national and international research projects, such as ROBUKOM, VINO, MEVICO, SIGMONA, SENDATE-Secure CDI, AI-NET-PROTECT and SUSTAINET-Advance.
Key potential research contributions and added-value to this call: Methods for cross-domain energy optimization and resilience, robust network design and TCO analysis, methods for AI-assisted Network Control, Orchestration and Automation, methods for protocol design and evaluation, as well as methods for detection and rapid mitigation of cyber security attacks in communication network infrastructures.
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