SICSA Networking and Systems Research Theme: SCONE Meeting

Date(s) - 25/02/2022
1:00 pm - 5:00 pm

Sir Alwyn Williams Building, Room 422

The next SICSA SCOttish Networking Event (SCONE) will take on 25 February at the University of Glasgow as a hybrid event.

SCONE is the SCOttish Networking Event – an informal gathering of networking and systems researchers in and around Scotland. The goal of these meetings is to foster interaction between researchers from our various institutions. Each meeting will take place over the course of an afternoon, and feature:

  • talks from PhD students
  • talks from faculty, postdocs and industrial researchers
  • discussions of possible funding opportunities
  • food and drink
  • 13:00-13:30 – Arrival, Welcome, Coffee
  • 13:30-14:00 – Alec Diallo (U. Edinburgh) Adversarial ML
  • 14:00-14:30 – Kaushal Kumar (Stirling U.) Improving the scalability of 6TiSCH networks using smart scheduling reservation solution
  • 14:30-15:00 – Jose Cano and Ferheen Ayaz (U. Glasgow) Multimodal AI-based Security at the Edge
  • 15:00-15:30 – Mihail Yanev (U. Glasgow) Internet video stability
  • 15:30-16:00 – Coffee break
  • 16:00-16:30 – Panel discussion on interdisciplinary research with Paul Patras, Lito Michala and Richard Mortier
  • 16:30-17:00 – Rui Li (Samsung) Keynote talk

Speaker: Rui Li

Title: Reciprocity in Communications and ML Research: Is there free lunch for AI in comms? And can communications help the advancement of ML?

Abstract: Applying powerful machine learning tools to solve communications and networking problems has led to many success stories. In this talk, I will discuss my previous work along this line, on the optimisation of utility for millimetre wave backhaul networks using machine learning, the lessons learned, and future opportunities. I will then talk about our effort towards studying a family of machine learning algorithms, namely meta-learning, using the classical channel coding tasks in communications. I will discuss how mathematical tools known by information theorists can be used to evaluate existing meta-learning algorithms, and thereby provide an elastic benchmark platform for future study of meta-learning.

Bio: Rui Li a machine learning researcher at Samsung AI Centre in Cambridge, UK. She is interested in wireless communications, machine learning, and the intersections of these. In the past, Rui has worked on resource allocation and utility optimisation in millimetre wave backhaul networks, and acoustic signal processing problems. She is increasingly interested in cross-domain adaptation and generalisation of ML models, as well as their performances in real-world systems. Rui obtained her PhD from the School of Informatics, University of Edinburgh in 2019, advised by Dr Paul Patras, and she remains a close friend of the Mobile Intelligence Lab at Edinburgh.


This hybrid event will run on Zoom and in the School of Computing Science at the University of Glasgow, Sir Alwyn Williams Building, Room 422.

How to get here

Take the train to Glasgow Queen Street. On arrival, take the right-hand exit from the station (past the ticket office). On leaving the station you should see the entrance to Buchanan Street subway station immediately across the street. Take the subway to Hillhead. On leaving Hillhead station, turn right and walk along Byres Road to Great George Street. Turn right and walk up the hill past the Marks & Spencer, then turn right and walk along Lilybank Gardens. The Sir Alwyn Williams Building is at the far end of Lilybank Gardens, on the left.

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