Prof. Samson Lasaulce
Khalifa University, UAE
Samson Lasaulce is a CNRS Director of Research with CRAN at
Nancy. From 2023 to 2025, he has been a Chief Research
Scientist with Khalifa University (Abu Dhabi) where he has
been the holder of the TII 6G Chair on Native AI. From 2016
to 2019, he has been the holder of the RTE CentraleSupelec
Chair on the "Digital Transformation of Electricity
Networks". From 2002 to 2014, he has also been a part-time
Professor with the Department of Physics at École
Polytechnique (France). Before joining CNRS he has been
working for five years in private R&D research centers
(Motorola Labs and Orange Labs). His current research
interests lie in distributed networks with a focus on
optimization, machine learning, game theory, and optimal
control. The main application areas of his research are
wireless networks, energy networks, social networks, and
climate change. Dr Lasaulce has been serving as an editor
for several international journals such as the IEEE
Transactions. He has organized many scientific events and
10+ as a general chair. He is the co-author of more than 220
publications, including 15 patents and several books such as
"Game Theory and Learning for Wireless Networks:
Fundamentals and Applications". Dr Lasaulce is also the
recipient of several awards from the IEEE society and also
the Blondel Medal award from the SEE French society.
Speech Title: Large Language Models and Optimization
Abstract: In this talk, we will explore the interplay between large language models (LLMs) and optimization. We will start with a motivating use case (smart home energy management), which will allow us to identify several LLM agents to be designed (implementing an agentic approach). The focus of the talk will be mainly on the LLM solver agent. We will survey the main advances in terms of using LLMs for optimization problems solving and then, discuss several recent results.
Prof. Stefano Secci
CNAM Paris, France
S. Secci is professor at Cnam, Paris, since 2018,
responsbile of research and teaching activities in
networking. He previously held positions at Sorbonne
University as associate professor, at George Mason and NTNU
Universities as postdoc researcher, at Telecom ParisTech and
Politecnico di Milano as Ph.D candidate, and at CNIT and
Fastweb as engineer. He graduated from Politecnico di Milano
in telecommunications engineering in 2005. His current
research interests are about network automation and
distributed learning.
Speech Title: Evolution of Resource Allocation with Network Slicing
Abstract: In this talk, resource allocation and scheduling
practices will be put in perspective of recent evolutions in
network archtiectures, with virtualization and slicing.
The path from single-resource central decision-maker
(provider) toward multi-resource multi-provider and
multi-domain context will be traced along with novel
algorithms and fairness measurements.
Prof Samia Nefti-Meziani
University of Birmingham, UK
Professor Nefti-Meziani is an international leading expert
with 25 years of experience in AI and robotics. She has
recently been awarded an Order of the British Empire for her
services to Robotics and featured as the 2020’s top 30
world’s women in robotics you need to know about by Silicon
Valley Robohub, the largest scientific community in
robotics.
She is the former Vice Chairman of IEEE Robotics and
Automation UK & RI, Co-director of the EPSRC National Hub in
Robotics and Future AI for Space Technology (FAIR-SPACE) and
Associate Editor of IEEE Transactions on Fuzzy Systems and
she is serving as an Advisory board member for the RGP, the
Asian council and the EPSRC centre for innovative
manufacturing and intelligent Automation. She is also a
member of the Physical Sciences Research Council (EPSRC)
Peer Review College and reviewer for UKRI, Finland research
funding agency and EC.
Chaired by DSIT, she is currently the lead on the UK
Cross-Industry RAS Development Task Force initiative, funded
by EPSRC, which aims at shaping the policies and initiatives
for the UK's effort to develop a world-leading market and
innovation environment for exploiting advancements in RAS.
This task force involves Industry influencers, many national
infrastructure organizations, including DFT, DEFRA, NHS, UK
Space Agency, Lower Thames Crossing, Sellafield Ltd, Network
Rail, National Highways and many others from the UK- Cross
Industry RAS Development Task Force Network.