The Network Intelligence group at the DNA lab specializes in developing smart capabilities of networking technologies by applied machine-learning and deep systems knowledge. Our work is fundamental for enabling future applications and services, such as massive IoT deployment, intelligent transportation, cloud robotics and remote surgery.
Current line of research involves development of data-driven methods and tools for monitoring, virtualization and software-defined networking for fixed and mobile network technologies addressing:
- Resilience and robustness in distributed control planes
- High-throughput low-latency service chaining
- Intelligent interface selection for 5G
We are collaborating with a large number of academic and industrial partners across Europe within the following areas:
- Network Monitoring and Management of Telecom Clouds
- 5G: Resource coordination and performance of wireless and mobile networks
- Software-Defined Networking and Network Function Virtualization
Check out our GitHub-repository! We want real stuff out of our theoretical results - hence, we implement deployable code compliant with established open source platforms such as OpenStack and contributing to e.g. OPNFV and ONOS.
Working with us:
- Undergraduate: Are you research oriented with great coding skills? Contact us for a master's thesis assignment!
- Postgraduate: Are you into solving real problems combining theory and systems? Contact us - we might just have an exciting assigment for you!
No harm in sending us an email - We are always looking for researchers - more information here!
News feed on our activities: Follow the head of the Network Intelligence group on twitter: @sics_rebste
Network Intelligence - scope of research overview:
Per Danielsson
Jan Ekman
Georgios P. Katsikas
Dejan Kostic
Per Kreuger
Shaoteng Liu
Akhila Rao
Rebecca Steinert
