Citi Seminar – Sheng YANG 13Th February 11AM

Speaker 
Sheng YANG

When / Where
13th February 2025  ; room TD-C ; Heddy Lamarr building INSA Lyon; Villeurbanne

This seminar is open to everyone and is recognized by the EEA doctoral school for doctoral training hours. We will have a sign-in sheet for PhD students who wish to attend the seminar (in person).

visio
https://insa-lyon-fr.zoom.us/j/92678255340<https://insa-lyon-fr.zoom.us/j/92678255340>

Title
From Bayesian Statistics to Large-Scale MIMO Communications

Abstract
Large-scale MIMO systems have emerged as a cornerstone for next-generation wireless communication networks. While extended research has been conducted on signal processing and transceiver design in these systems, the fundamental Shannon capacity limit remains elusive in many settings, particularly in the presence of system non-linearities. In this talk, we explore the connection between statistics and communication, and introduce a novel approach that leverages information-theoretic asymptotics from Bayesian statistics to derive the Shannon capacity of such systems. We reveal the critical role of the Fisher information and Jeffreys’ prior in this characterization, and
demonstrate how to apply this method to derive the asymptotic capacity of various channel models. Examples include the MIMO channels with 1-bit ADC, clipping, phase noise, and imperfect channel state information.

Biography
Sheng Yang received the B.E. degree in electrical engineering from Jiaotong University, Shanghai, China, in 2001, and both the engineer degree and the M.Sc. degree in electrical engineering from Telecom ParisTech, Paris, France, in 2004, respectively. In 2007, he obtained his Ph.D. from Université de Pierre et Marie Curie (Paris VI).
From October 2007 to November 2008, he was with Motorola Research Center in Gif-sur-Yvette, France, as a senior staff research engineer.
Since December 2008, he has joined CentraleSupélec, Paris-Saclay University, where he is currently a full professor. From April 2015, he also holds an honorary associate professorship in the department of electrical and electronic engineering of the University of Hong Kong (HKU).
He received the 2015 IEEE ComSoc Young Researcher Award for the Europe, Middle East, and Africa Region (EMEA). He was an associate editor of the IEEE transactions on wireless communications from 2015 to 2020.
He is currently an associate editor of the IEEE transactions on information theory.


PhD defense David Fernandez Blanco : “Seamless Continuous Integration / Continuous Delivery (CI/CD) for Software Defined Vehicles”

The defense will take place on wednesday 5th february at 2 PM in the Heidi Lamarr building (Amphi Chappe), Insa-Lyon, Villeurbanne.

Title 
Seamless Continuous Integration / Continuous Delivery (CI/CD) for Software Defined Vehicles

Abstract
Driven by the rapid increase in the number of Electronic Control Units (ECUs), current automotive software systems face growing complexity while advancements in software architecture are well behind. This imbalance has resulted in higher system complexity, important financial costs, and significant challenges in maintaining and deploying new services in vehicles. The thesis explores the potential of adopting Continuous Integration/Continuous Delivery (CI/CD) pipelines for software-defined vehicles, focusing on several critical aspects: secure software deployment, adaptability of in-vehicle software, and optimization of performance using edge computing.

The contributions of the thesis are manifold: (1) A comprehensive taxonomy of key findings related to the transformation of automotive ICT systems, (2) A proposal for a blockchain-based multi-automaker software store to manage updates and dependencies, (3) The development of a virtualization framework for multi-microcontroller systems and an evaluation of these OS-level virtualization solutions for in-vehicle systems, (4) A software orchestration framework that prioritizes criticality and optimizes resource allocation in heterogeneous environments, and finally (5) A consensus algorithm to efficiently offload functions to edge-computing IoT nodes, optimizing resource use in automotive cloud-edge systems.

By addressing these issues, the thesis contributes to the future of automotive ICT systems, proposing innovative methods that strike a balance between flexibility and performance in managing software complexity within the evolving landscape of connected, autonomous vehicles.

Jury

  • Sara BOUCHENAK, Professeure des Universités à L’INSA de Lyon
  • Diala NABOULSI, Professeure Associée à l’ETS Montréal, rapporteuse
  • Thierry DELOT, Professeur des Universités à l’Université Polytechnique Hauts-de-France, rapporteur
  • Hadi TABATABAEE, Professeur Assistant à l’UCD Dublin Jean-Marc MENAUD
  • Professeur des Universit ́es à l’IMT Atlantique
  • Frédéric LE MOUËL, Professeur des Universités à l’INSA de Lyon, Directeur de Thèse
  • Tista LIN, Architecte Logicielle à STELLANTIS, Co-encadrante de thèse