Speakers

Speakers

Affiliation: Tel Aviv University, Israel


Biography: Emilia Fridman received the M.Sc and Ph.D in mathematics in Russia. Since 1993 she has been at Tel Aviv University, where she is currently Professor in the Department of Electrical Engineering - Systems. She has held numerous visiting positions in Europe, China and Australia. Her research interests include time-delay systems, networked control systems, distributed parameter systems, robust control and extremum seeking. She has published more than 200 journal articles and 2 monographs. She serves/served as Associate Editor in Automatica, SIAM Journal on Control and Optimization and IMA Journal of Mathematical Control and Information. 


She was ranked as a Highly Cited Researcher by Thomson Reuters (Web of Science) in 2014. She is an IEEE Fellow. She is the incumbent for Chana and Heinrich Manderman Chair on System Control at Tel Aviv University. In 2021 she was recipient of IFAC Delay Systems Life Time Achievement Award and of Kadar Award for outstanding research in Tel Aviv University. She is a member of the IFAC Council for 2017-2023. She is IEEE CSS Distinguished Lecturer for 2023-2025. In 2023 her monograph ``Introduction to Time-Delay Systems: Analysis and Control" (Birkhauser, 2014) was the winner of IFAC Harold Chestnut Control Engineering Textbook Prize. 


Affiliation: GIPSA-lab, France


Biography: Christophe Prieur graduated in Mathematics from the Ecole Normale Supérieure de Cachan, France in 2000. He received the Ph.D degree in 2001 in Applied Mathematics from the Université Paris-Sud, France. From 2002 he was an associate researcher CNRS at the laboratory SATIE, Cachan, France, and at the LAAS, Toulouse, France (2004-2010). In 2010 he joined the Gipsa-lab, Grenoble, France where he is currently a senior researcher of the CNRS (since 2011). He was the Program Chair of the 9th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2013), the 14th European Control Conference (ECC 2015) and the 61st IEEE Conference on Decision and Control (CDC 2022). He has been a member of the IEEE-CSS Conference Editorial Board and the EUCA Conference Editorial Board, and an associate editor of the IMA J. Mathematical Control and Information, the IEEE Trans. on Automatic Control, the European J. of Control, the IEEE Trans. on Control Systems Technology, and the Optimal Control Applications and Methods. He is currently an associate editor of the AIMS Evolution Equations and Control Theory, the SIAM Journal of Control and Optimization and the Mathematics of Control, Signals, and Systems. He is a senior editor of the IEEE Control Systems Letters, and an editor of the IMA Journal of Mathematical Control and Information. His current research interests include nonlinear control theory, hybrid systems, and control of partial differential equations, with applications including navigation and object tracking, fluid dynamics, and fusion control. He is an IMA Fellow, and an IEEE Fellow.


Affiliation: Imperial College London, UK


Biography: Sergei Chernyshenko is a professor of aerodynamics at Imperial College London, UK. He had previous positions at the University of Southampton, UK, and at the Moscow State University, Russia. His area of expertise is theoretical fluid dynamics, with a scope ranging from rigorous mathematics to practical applications. He solved the long-standing problem of high-Re asymptotics of steady separated flow past a bluff body and made contributions to the theory of organised structures in turbulent flows, methods of turbulent skin friction reduction, theory of scale interaction in near-wall turbulence, and theory of bounding time averages of dynamical systems. He received the USSR State Committee for People Education Award in research (shared), the Joukowski Award in aerodynamics (also shared), and was twice awarded the Russian State Stipend for Outstanding Scientists.

Affiliation: Arizona State University, USA


Biography: Matthew M. Peet received the B.S. degree in physics and in aerospace engineering from the University of Texas, Austin, TX, USA, in 1999 and the M.S. and Ph.D. degrees in aeronautics and astronautics from Stanford University, Stanford, CA, in 2001 and 2006, respectively. He was a Postdoctoral Fellow at INRIA, Paris, France from 2006 to 2008. He was an Assistant Professor of Aerospace Engineering at the Illinois Institute of Technology, Chicago, IL, USA, from 2008 to 2012. Currently, he is an Associate Professor of Aerospace Engineering at Arizona State University, Tempe, AZ, USA. Dr. Peet received a National Science Foundation CAREER award in 2011. His research focus is on developing convex optimization-based tools for the analysis and control of nonlinear ordinary equations, time-delay systems and partial differential equations.

Affiliation: L2S, CentraleSupélec, France


Biography: Giorgio Valmorbida received the Ph.D. degree in control theory from the Institut National des Sciences Appliquéees, Toulouse, France, in 2010 for the research developed at the LAAS/CNRS. He has held post-doctoral research positions at the Università di Roma “Tor Vergata”, Rome, Italy, from 2010 to 2012 and at the Department of Engineering Science, University of Oxford, Oxford, UK, from 2013 to 2015. He was a Junior Research Fellow at Somerville College, University of Oxford, Oxford, UK, from 2013 to 2015. He is currently an Associate Professor at the Laboratoire des Signaux et Systèmes, CentraleSupéelec, Université Paris-Saclay and member of the Inria Saclay DISCO project Gif-sur-Yvete, France. He is currently Associated Editor of IMA Journal of Mathematical Control and Information and member of the IFAC Technical Committee on Control Design (TC2.1). His main research interests include analysis and control of nonlinear systems with input constraints, hybrid systems, infinite-dimensional systems, and polynomial optimization.

Affiliation: Eindhoven University of Technology, Netherlands


Biography: Amritam Das received the BTech. degree in mechatronics engineering from India in 2014. He received the MSc. in systems and control and the PhD. in electrical engineering in 2016 and 2020, respectively, from Eindhoven University of Technology. During 2020-2021, he was a research associate at the Control Group, University of Cambridge. During this period, he was also a college research associate at Sidney Sussex college. During 2021-2022, he was an post-doctoral scholar at the division of Decision and Control Systems of KTH Royal Institute of Technology, Sweden. Since February 2023, he has been working as an assistant professor at the Control Systems group of the Electrical Engineering department, Eindhoven University of Technology. His research interests are robust and nonlinear control of multi-physics systems, physics-enabled learning for control and model reduction applied to high-tech systems, power generation and neuro-engineering.

Affiliation: Kobe University, Japan


Biography: Masashi Wakaiki received the B.S. degree in Engineering and the M.S. and Ph.D. degrees in Informatics from Kyoto University, Kyoto, Japan, in 2010, 2012, and 2014, respectively. He was a visiting scholar at the University of California, Santa Barbara from 2014 to 2016. He was an Assistant Professor in the Department of Electrical and Electronic Engineering, Chiba University from 2016 to 2017. He was a Lecturer in the Graduate School of System Informatics, Kobe University from 2017 to 2020, where he is currently an Associate Professor. His research interests include infinite-dimensional systems and networked control systems.


Affiliation: CentraleSupélec, France


Biography: Mathieu Bajodek received a joint M.Sc. in teacher education in computer science, automation and electronics from Ecole Normale Supérieure Paris-Saclay (Cachan, France) and in automatic control, signal and image processing from Université Paris-Saclay (Gif-Sur-Yvette, France) in 2019. From 2019 to 2022, he was a Ph.D. student at LAAS-CNRS and worked on ODE-PDE interconnected systems. In July 2022, he received the Ph.D. degree from Université Paul Sabatier (Toulouse, France) in automatic control. He is currently starting a one-year postdoctoral position at CentraleSupélec on the study of non-homogeneous reaction-diffusion equations. His research interests concern the stability analysis, control and observation of infinite-dimensional systems.

Affiliation: University of Science and Technology Beijing, China


Biography: Jun-Wei Wang received the B. S. degree in mathematics and applied mathematics and the M. S. degree in system theory both from Harbin Engineering University, Harbin, China, in 2007 and 2009, and the Ph. D. degree in control theory and control engineering from Beihang University, Beijing, China, in 2013, respectively.


From September 2013 to December 2015, he was a Postdoctoral Researcher with the School of Automation and Electrical Engineering, University of Science and Technology Beijing (USTB), Beijing, China. From August 2014 to July 2015, he was a Postdoctoral Researcher with the Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA. From February 2016 to February 2018, he was a Postdoctoral Fellow under the Hong Kong Scholars Scheme with the City University of Hong Kong. From January 2016 to Octobor 2022, he was a Lecturer/Associate Professor with the School of Automation and Electrical Engineering, USTB, Beijing China. In November 2022, He joined the School of Intelligence Science and Technology, USTB, Beijing, China, where he is currently an Associate Professor. His research interests include intelligent system modeling and control theory in infinite-dimensional space, analysis and control of linear/nonlinear distributed parameter systems, and multiple-robot coordination theory and its application in environmental monitoring.


Dr. Wang serves as a Reviewer for the Mathematical Reviews and an Associate Editor for the Journal of Fuzzy Logic and Modeling in Engineering and the Frontiers in Artificial Intelligence (Fuzzy Systems Section). He is an IEEE/ASME member.