S P E A K E R S
Cycle de Kolb : Vers un Enseignement Supérieur Interactif
Le but de cette conférence est de mettre en valeur quelques techniques qui ont été proposées par David Kolb,un expert américain en andragogie. En effet, ce modèle d’apprentissage innovant propose de faire vivre aux apprenants différentes expériences émotionnelles, réflexives et Pratiques afin d’atteindre un haut niveau de savoir être.
Le contenu de cette action constitue une réponse à toutes les questions qui suivent et qui représentent un défi majeur pour les enseignants chercheurs
– Comment transmettre les compétences ?
– Comment rendre un apprenant compétent ?
– Quelle est la définition exacte du mot Compétence ?
– Comment stimuler au mieux les apprenants ?
– Comment les rendre capables d’aller plus loin ?
– Comment connecter leurs émotions ?
– Comment Susciter leurs réflexions ?
- Enseignant Chercheur à IPEIB Université de Carthage
- Doctorat en Mécanique de l’Université La Rochelle (2012)
- Master en Mathématiques Appliquées de l’Université Paris sud 11 (2008)
- Formateur des Formateurs à « Licorne Professionnel Academy »
- Formateur Professionnel en Programmation Neurolinguistique (PNL)
- Responsable Formation au Centre 4C IPEIB
- Vice-Président National JCI Chargé de la Formation (2015)
- Président de la Jeune Chambre Internationale de Bizerte (2014)
- Meilleur Orateur en Tunisie (Concours National JCI 2007)
Dr. Raziq YAQUB
Professor at NASA Glenn Research Center, Cleveland
Diagnosis-Prognosis of Electrical Machines
Most industries are moving toward intelligent health monitoring to minimize shutdowns and maintenance costs. It requires integrating electrical systems and information technology. The talk, divided into three parts, will elucidate that the cloud-based trained models will revolutionize the health monitoring of electrical machines.
The first part will explain the two aspects of health monitoring, i.e., Diagnosis, which refers to the early detection and classification of fault, and Prognoses, which identifies the fault’s evolution to predict the machine’s remaining useful life. It will explain that most of the industry is striving to move from scheduled-based maintenance to predictive maintenance as it is not only cost-efficient but also generates a more detailed report on Fault Diagnosis and Prognosis of Electrical Machines.
The second part will explain the enablers of cloud-based diagnosis and the prognosis of Electrical Machines. It will highlight Artificial Intelligence, Machine learning, Data Analytics, Cloud, Network, and Edge Computing. It will also emphasize that the main challenge is the amount and quality of the data used for model training.
The third part will discuss the data acquisition system, an essential pillar of health monitoring systems. It will also explain the importance of the edge node that will help the microcontroller with data acquisition from the cloud or locally in case of any data loss over the network.
The talk will provide food for thought to the students on exploring innovative techniques. It will also benefit government policymakers, industry leaders, decision-makers, and researchers. The added benefits of the talk will be transferring state-of-the-art knowledge, enhancing interest in research, establishing a collaborative relationship with students and faculty, and familiarizing the students with future/global career opportunities.
Dr. Raziq Yaqub is an Associate Professor in the EE&CS Department at Alabama A&M University, USA, and a Research Professor at NASA Glenn Research Center, Cleveland, OH. He earned a Ph.D. in Wireless Communication from Keio University, Japan, and an MBA in Marketing from Fairleigh Dickenson University, New Jersey, USA. He is an inventor of technologies in Cybersecurity of Financial Technologies, Wireless Communications, Smart Grid, and Connected Electric Vehicles. He has 45 issued patents and is a recipient of the “Inventor of the Year Award-2014” from the Inventors Hall of Fame, New Jersey. He received an award of “Excellence in Scholarship and Research 2019” from the President of his university, an award of “Innovator Young Faculty,” an award of “Outstanding Engineering Educator” from the Dean of his college, and “Outstanding Engineer 2020” award from IEEE region 3.
He remained an Executive Director of Toshiba America Research, New Jersey, to lead 4G/LTE, Department head of NIKSUN University, Princeton, New Jersey, to lead Cybersecurity, and Director of Global R&D of Tecvox, Huntsville, AL, USA, to lead wireless charger and media hubs for the automotive industry. He also remained Sr. Consultant to the State of New Jersey to secure an $87M grant, a spokesperson of the Department of Homeland Security in 3GPP”, an invited Researcher at NASA Research Center, Cleveland, Ohio, and an inventor for Wells Fargo, USA.
He also remained Chairman and contributor to standards organizations such as 3GPP, IEEE, WiMAX, MWIF, OMA, Lead Member for ABET accreditation, Chairman of Academic Standards Committee, Chair IEEE Membership Development, Evaluator for technical papers, Ph.D. theses, patents, and grant proposals, Vice Chairman of IEEE Southeast Conference 2019, organizer of numerous international conferences, Invited/Keynote speaker, Panel Moderator/Resource Person in international events. He is a Senior Member of IEEE. He communicates in English, Japanese, Hindi, and Urdu and has 25 years of experience in the industry, government, and academia. More at https://www.linkedin.com/in/dyaqub/.
Pr. Mohammed CHADLI, PhD
Fault diagnosis for T-S systems in finite frequency domain :
Some Results and Perspectives
This presentation proposes some results on observer design and methods of fault detection filter synthesis for a class of nonlinear systems. Observer-based LMI synthesis methods for T-S systems subjected to unknown inputs are presented. Subsequently, multi-objective synthesis problem is discussed in FDI framework. When we are interested in these problems in finite frequency domains, these classic techniques (in infinite frequency domains) become quite restrictive. Indeed, the problem of multiobjective synthesis in the finite frequency domain is addressed. In a fault diagnosis context, the generated residue must be as sensitive as possible to faults and as robust as possible against unknown perturbations by means of two finite frequency performance indices such as the H_ and H∞ indexes. Still open perspectives will be discussed.
Mohammed Chadli (SM’09, M‘99) received his MScEng (DEA) from the Engineering School INSA-Lyon (France, 1999) and from “Ecole Normale Sup.” (Mohammedia, Morocco), the Ph.D. thesis in Automatic Control from the University of Lorraine (UL), CRAN-Nancy in 2002 and his habilitation in 2011 at the University of Picardie Jules Verne (UPJV) Amiens. He was Lecturer and Assistant Professor at the “Institut National Polytechnique de Lorraine” (UL, 2000-2004). Since 2004, he was Associate Professor at the UPJV and is currently a Full Professor at the University Paris-Saclay, Univ Evry, IBISC Lab., France. He was a visiting professorship at the TUO-Ostrava (Czech Rep.), UiA (Norway), SMU-Shanghai (2014-2017), NUAA-Nanjing (2018, 2019), and the University of Naples Federico II (Italy, 2019).
Dr. Chadli’s research interests include filtering and control problems (FDI, FTC) and applications to vehicle systems, intelligence systems, network systems, and cyber-physical systems. He is the author of books and book chapters (Wiley, Springer, Hermes), numerous articles published in international refereed journals and conference proceedings and listed in “100 000 Leading Scientists in the World”.
Dr. Chadli is a senior member of IEEE. He is on the editorial board (Editor, Associate Editor) of several international journals, including the IEEE Transactions on Fuzzy Systems, Automatica, the IET Control Theory and Applications, the Franklin Institute Journal, Asian Journal of Control … and was a Guest Editor for Special Issues in international journals. He now serves as the Vice Dean of the Faculty of Sciences and Technologies (Univ Evry), and Chair of the IEEE France Section Control Systems Society Chapter.