Prof. Gildas Besançon, PhD

Professor Grenoble INP / GIPSA-lab


November 10th, 2021

10:00 - 11:30 (Opening Ceremony and  Plenary)


Title: "From observers macro scopes to microscopes applications"



State observers have proved to be very efficient tools for information reconstruction in dynamical systems since R. E. Kalman introduced them at the end of 1950's. They have been constantly developed and improved from that time on, with a growing number of successfull applications. After recalls on their various features and interests, this talk will more particularly focus on applications in the field of so-called scanning probe microscopy, which appeared in the 1980's with the invention of Scanning Tunneling Microscope by Nobel Price winners G. Binnig and H. Rohrer, and which has been attracting an increasing attention even in the control community for the past two decades, within the challenging context of submicronic research.




Gildas Besançon  received an MSc in Electrical Engineering in 1993, and a PHD degree in Control in 1996, both in Grenoble, France. After a stay at Rome University La Sapienza, Italy, he joined the Institut National Polytechnique de Grenoble in 1998. He got the French degree of ‘Habilitation à Diriger des Recherches’ in 2002, and became a full professor at Grenoble INP in 2010, to which he is still currently affiliated. Between 2010 and 2015, he also held a nationally distinguished position at the Institut Universitaire de France, and remains part of its honorary members. He serves in various IFAC and IEEE committees as well as editorial boards, and has been continuously active - and still is, in various industrial projects. He is the author or co-author of more than 270 international peer-reviewed papers, and about 20 book chapters. He is also the editor of the Springer book ‘Nonlinear observers and applications’, and he supervised or co-supervised more than 20 PHD students. His research activities are held at the Control and Diagnosis Department of Gipsa-lab - where he was the head of a research group on 'nonlinear and complex systems' between 2011 and 2020, and these activities address various topics about such systems, with a special interest in observer issues, and applications in energy, hydraulics, or micro/nano-sciences.



 Prof. Jinjun Shan, PhD

Professor and  Chair
Department of Earth and Space Science and Engineering 

York University
Toronto, Canada

November 11th, 2021 

11:30 - 12:30


Title: Adaptive Game-Theoretic Decision Making for Autonomous Driving Vehicles



Within half a century, autonomous driving vehicles, together with human-driven vehicles, will be employed in traffic scenarios, where the interactions of those vehicles will constantly occur. In these situations, the action of one car is dependent on the intentions of other cars, and vice versa, thus exhibiting rich dynamic behaviors. In this work, we apply deep reinforcement learning along with game theory to model decision-makers with different reasoning levels in unsignalized intersections. What distinguishes our method from the existing studies is that all the drivers in a multi-move scenario make strategic decisions simultaneously, instead of modeling the autonomous driving vehicle as a decision-maker and assuming predetermined actions for the rest of the drivers. In addition, our method relies solely on the vehicle’s sensor, without assuming any coordination, communication, or shared control with the surrounding cars. Experiments are performed to validate the performance of the autonomous driving vehicles in dynamic and interactive environments.



Dr. Jinjun Shan is an internationally recognized expert in the areas of dynamics, control and navigation. He joined York University as an Assistant Professor of Space Engineering in 2006 and was promoted to AssDr. Jinjun Shan is an internationally recognized expert in the areas of dynamics, control and navigation. He received his Ph.D. degree from Harbin Institute of Technology, China, in 2002. Dr. Shan joined York University as an Assistant Professor of Space Engineering in 2006 and was promoted to Associate Professor in 2011 and Full Professor in 2016. Since 2018, he has been appointed to the Chair of Department of Earth and Space Science and Engineering. Prior to his appointment in York, he was a Post-Doctoral Fellow at the University of Toronto Institute for Aerospace Studies (UTIAS) and City University of Hong Kong. He has attracted over $5 million in research funding from various governmental agencies and industry partners. His pioneering research work has led to over 170 peer-reviewed journal and conference publications and 2 issued patents. Dr. Shan’s accomplishments in research and engineering education have seen him recognized with prestigious recognitions such as the Fellow of Engineering Institute of Canada (EIC), the Associate Fellow of AIAA, Alexander von Humboldt Fellowship, JSPS Fellowship, York Research Leader Awards, and Excellent in Teaching Award. He serves as the Associate Editor for several field-leading journals including IEEE Transactions on Industrial Electronics, IEEE/ASME Transactions on Mechatronics, and the Journal of Franklin Institute, as well as numerous conference chairs. He is the founding director of Spacecraft Dynamics Control and Navigation Laboratory (SDCNLab) at York University.




Prof. Des McLernon, PhD

School of Electronic and Electrical Engineering
The University of Leeds
United Kingdom

November 12th, 2021 



Title: An Introductory Tutorial (From an Engineering Perspective) on the Maths Behind Covid-19


My research and publications over many years has been in signal processing and wireless communications. But the last twenty months have changed our perspectives and just for this talk I would like to look at something very different.

Because of the new virus severe acute respiratory syndrome 2 (SARS-CoV-2) and its associated disease (COVID-19), we have sadly all become familiar with words like ‘test accuracy’, ‘sensitivity’, ‘specificity’, ‘R-number’, ‘false positives/negatives’, ‘vaccine efficacy’, herd immunity, etc.

But the maths behind many of these terms, and in particular those associated with the virus testing process, are very similar to concepts from an undergraduate engineering degree when dealing with binary decisions in digital communications, radar or sonar. But often different disciplines confusingly use different terminology for the same basic concepts!

So in this tutorial, I will start by putting COVID-19 in historical context (including terms like R and K numbers, SIR model, herd immunity, etc.) and then look at how we can view the virus testing process and analyse its performance with the binary symmetrical channel (BSC) familiar to all engineering undergraduates studying digital communications. Using the BSC I will derive performance measures, suggest improvements and also show how even the receiver operating curves (ROCs) from radar and sonar can be useful.

But notwithstanding the rigour of all the scientific methods used in the testing/analysis/modelling the spread of covid-19, conspiracy theorists around the world still claim that the whole pandemic is being manipulated by a “sinister new world order” headed by Bill Gates. They claim that he seeks to depopulate the earth and impregnate (and control) us with microchips through the covid-19 vaccine while radio frequency signals from 5G will destroy DNA and actually spread covid! I’ll touch on the danger of these ideas that hinder nearly full vaccination/herd immunity and show how they can be countered notwithstanding the support of fellow travellers like ex US President Donald Trump.

Finally – this introductory tutorial assumes no prior mathematical knowledge above first year university engineering degree level.


Short Bio

Des McLernon  received his B.Sc in electronic and electrical engineering and his MSc in electronics, both from the Queen’s University of Belfast, N. Ireland. He then worked on radar systems research and development with Ferranti Ltd in Edinburgh, Scotland and later joined Imperial College, University of London, where he took his PhD in signal processing. His research interests are broadly within the domain of signal processing for wireless communications (in which area he has published over 340 journal and conference papers). He has supervised over 50 PhD students and is associate editor of IET journal “Signal Processing”. Recent conference organisation includes IEEE SPAWC 2010, European Signal Processing Conference (EUSIPCO) 2013, IET Conference on Intelligent Signal Processing (London, 2013/2015/2017), IEEE Globecom 2014/2015/2016 (Workshop on Trusted Communications with Physical Layer Security) and the First International Workshop on Digital Technologies for Global Challenges (Leeds University, 27-28 June 2019).


Finally, in what spare time remains he plays jazz piano in bars and restaurants and  recently came second in the 2018 Leeds Pub Piano Competition ( – which he now considers his most important “academic” achievement ! :-)