Roland Herzog (University of Heidelberg, Germany)Hide
Short biography. Roland Herzog
(old home page
) has been Professor for Scientific Computing and Optimization at the Interdisciplinary Center for Scientific Computing of the University of Heidelberg, Germany, since 2021. Before that, he held positions at the Technische Universität Chemnitz, Germany, at RICAM in Linz, Austria, at the Karl Franzens University Graz, Austria, where he obtained his Habilitation in 2008, and at the University of Bayreuth, Germany, where he obtained his Ph.D. in 2003. He also held a visiting position at the University of British Columbia, Vancouver, Canada.
Prof. Herzog is Editorial board member for Advances in Discrete and Continuous Models, SMAI Journal of Computational Mathematics, SIAM Journal on Control and Optimization, SIAM Journal on Numerical Analysis, Journal of Optimization Theory and Applications, Electronic Transactions on Numerical Analysis, OPTPDE Problem Collection, and Optimization Methods and Software.
His research interests lie in the area of optimal control and optimization with partial differential equations.
At MTNS 2022 Roland Herzog intends to speak about PDE-constrained optimization and the role of the metric.
Anna-Lena Horlemann-Trautmann (University of St. Gallen, Switzerland)Hide
Short biography. Anna-Lena Horlemann-Trautmann
received the Diploma degree in mathematics from the University of Bochum, Germany, in 2007 and the Ph.D. degree in mathematics from the University of Zurich, Switzerland, in 2013. From 2013 until 2015 she was a research fellow at the Department of Electrical and Electronic Engineering at the University of Melbourne and at the Department of Electrical and Computer Systems Engineering at Monash University, both in Melbourne, Australia. She was a Postdoctoral fellow at the EPF Lausanne, Switzerland, from 2015 until 2017, before becoming an assistant professor for mathematics and information technology at the University of St. Gallen in Switzerland. Since 2021 she is an associate professor at the School of Computer Science at the University of St. Gallen.
Professor Horlemann-Trautmann is a member of the Editorial Board of Advances in Mathematics of Communication.
Her research interests lie in Algebraic Coding Theory and post-quantum cryptography.
At MTNS 2022 Anna-Lena Horlemann-Trautmann is going to speak about a general framework for asymptotically good codes in any metric.
Boris Houska (ShanghaiTech University, China)Hide
Short biography. Boris Houska
is an associate professor at the School of Information Science and Technology at ShanghaiTech University. He received a diploma in mathematics and physics from the University of Heidelberg in 2007, and a Ph.D. in Electrical Engineering from KU Leuven in 2011. From 2012 to 2013 he was a postdoctoral researcher at the Centre for Process Systems Engineering at Imperial College London. Subsequently, from 2013-14, he has worked as a research faculty member at Shanghai Jiao Tong University. Moreover, he has held visiting professor positions at the Freiburg Institute for Advanced Studies as well as at the Institute for Microsystems Engineering at the University of Freiburg (both in 2014) and various shorter academic visiting appointments, e.g., at UC Berkeley during Winter 2017 and Imperial College London during Summer 2018.
Boris Houska has been recipient of awards including ICCOPT Best Paper Prize for a Young Researcher in Continuous Optimization (Finalist, Top 3), a Marie-Curie Fellowship for the project Next Generation Algorithms for Robust and Global Optimization of Dynamic Systems, as well as a ShanghaiTech Excellent Professor Award from ShanghaiTech University. His paper on "ACADO Toolkit — An open source framework for automatic control and dynamic optimization" has been listed as highly cited paper by Web of Science.
His research interests include numerical optimization and optimal control, set-based robust and global optimization, as well as fast model predictive control algorithms.
At MTNS 2022 Boris Houska intends to speak about global optimal control – opportunities and challenges.
Achim Ilchmann (Technische Universität Ilmenau, Germany)Hide
Short biography. Achim Ilchmann
obtained the Ph.D. in Mathematics in 1987 at the Universität Bremen, supervised by Professor Diederich Hinrichsen, and received his Habilitation in 1993 from the Universität Hamburg. From 1996 until 2000 he was Lecturer and Reader in Applied Mathematics at the Dept. of Mathematics of the University of Exeter, UK. Since 2000 he holds a Chair in Mathematics at the Institut für Mathematik of the Technische Universität Ilmenau, Germany.
Professor Ilchmann supervised 10 Ph.D. students and published 100 refereed journal papers, 3 books on mathematics, and 2 books on baroque architecture. Since 2003 he is the principle organizer of the annual Elgersburg Workshop on Mathematical Systems Theory.
His research interests include time-varying linear systems, adaptive control of nonlinear systems, and differential-algebraic equations.
At MTNS 2022 Achim Ilchmann plans to speak about funnel control – history and perspective.
Dante Kalise (Imperial College London, UK)Hide
Short biography. Dante Kalise
is Senior Lecturer in Computational Optimisation and Control at the Department of Mathematics, Imperial College London, since 2021. He received B.Sc. and M.Sc. degrees (2008) from the Federico Santa María Technical University in Valparaíso, Chile, and a Ph.D. (2012) from the University of Bergen, Norway. Before joining Imperial, he was Assistant Professor in Applied Mathematics at the University of Nottingham, and held research positions at RICAM Linz, and at La Sapienza University of Rome.
He serves as Associate Editor of Mathematics of Control, Signals, and Systems, and of Advances in Continuous and Discrete Models.
Dr. Kalise's research interests lie at the interface between scientific computing, optimal control, and PDEs. His current research is centered around the analysis and design of computational methods for the solution of high-dimensional Hamilton-Jacobi-Bellman PDEs and applications in nonlinear feedback control for PDE dynamics and agent-based models across scales.
At MTNS 2022 Dante Kalise intends to talk about high-dimensional approximation of Hamilton-Jacobi-Bellman PDEs – architectures, algorithms, and applications.
Christopher M. Kellett (Australian National University, Canberra, Australia)Hide
Short biography. Christopher M. Kellett
received the B.Sc. degree in electrical engineering and mathematics from the University of California, Riverside, and the M.Sc. and Ph.D. degrees in electrical and computer engineering from the University of California, Santa Barbara in 1997, 2000, and 2002, respectively. Chris has held research positions with the Centre Automatique et Systèmes at École des Mines de Paris, Paris, France; the University of Melbourne; and the Hamilton Institute at National University of Ireland, Maynooth. From 2006 until 2020 he was with the University of Newcastle, Australia. Since February 2020 he has been the Director of the School of Engineering at the Australian National University.
Chris is a Senior Editor for the IEEE Transactions on Automatic Control and an Associate Editor for Mathematics of Control, Signals and Systems. He has previously served on the editorial boards for IEEE CSS Letters and the European Journal on Control. He has been the recipient of an Australian Research Council Future Fellowship (2011-2015), an Alexander von Humboldt Research Fellowship (2012-2013), the 2012 IET Control Theory and its Applications Premium Award, and the inaugural IFAC Foundation Award (2017).
His research interests are broadly in the area of systems and control theory and applications, with specific emphases on stability and robustness properties for nonlinear systems.
At MTNS 2022 Chris Kellett plans to speak about nonsmooth Lyapunov functions and robust feedbacks for obstacle avoidance.
Yann Le Gorrec (National Engineering Institute in Mechanics and Microtechnologies "ENSMM", Besançon, France)Hide
Short biography. Yann Le Gorrec
was graduated as engineer in "Control, Electronics, Computer Engineering" at the National Institute of Applied Sciences (INSA, Toulouse, France) in 1995. He received in 1998 his Ph.D. degree from the National Higher School of Aeronautics and Aerospace (Supaero, Toulouse, France). From 1999 to 2008, he was Associate Professor in Automatic Control at the Laboratory of Control and Chemical Engineering of Lyon Claude Bernard University (LAGEP, Villeurbanne, France). Since September 2008 he has been Professor at the National Engineering Institute in Mechanics and Microtechnologies.
Professor Le Gorrec worked on robust control, self scheduled controller synthesis, and on port Hamiltonian systems and their use for the modeling and control of irreversible and distributed parameter systems with an application to physico-chemical processes. His current field of research is the control of nonlinear systems and infinite dimensional systems with an application to smart material based actuators and micro actuators by using the port Hamiltonian framework.
At MTNS 2022 Yann Le Gorrec is going to speak about control design for distributed parameter systems – the port Hamiltonian approach.
Na Li (Harvard University, Cambridge, MA, USA)Hide
Short biography. Na Li
is a Gordon McKay professor in Electrical Engineering and Applied Mathematics at Harvard University. She received her Bachelor degree in Mathematics from Zhejiang University in 2007 and the Ph.D. degree in Control and Dynamical systems from California Institute of Technology in 2013. She was a postdoctoral associate at Massachusetts Institute of Technology 2013-2014.
She received NSF career award (2016), AFSOR Young Investigator Award (2017), ONR Young Investigator Award (2019), Donald P. Eckman Award (2019), McDonald Mentoring Award (2020), along with some other awards.
Her research lies in control, learning, and optimization of networked systems, including theory development, algorithm design, and applications to real-world cyber-physical societal system.
At MTNS 2022 Na Li plans to speak about distributed real-time decision-making for multiagent systems.
Masaaki Nagahara (The University of Kitakyushu, Japan)Hide
Short biography. Masaaki Nagahara
received the bachelor's degree in engineering from Kobe University in 1998, and the master's degree and the doctoral degree in informatics from Kyoto University in 2000 and 2003, respectively. He is currently a Full Professor with the Institute of Environmental Science and Technology, The University of Kitakyushu. He has been a visiting professor with Indian Institute of Technology (IIT) Bombay since 2017, and IIT Guwahati since 2020.
He received Transition to Practice Award in 2012 and George S. Axelby Outstanding Paper Award in 2018 from IEEE Control Systems Society. He also received Young Authors Award in 1999, Best Paper Award in 2012, Best Book Authors Award in 2016, and SICE Control Division Research Award (Kimura Award) in 2020 from SICE, and Best Tutorial Paper Award in 2014 from IEICE Communications Society. He is a senior member of IEEE, and a member of SICE, ISCIE, IEICE, JSME, and RSJ.
His research interests include control theory, machine learning, and signal processing.
At MTNS 2022 Masaaki Nagahara intends to speak about compressed sensing and maximum hands-off control.
Jacquelien M. A. Scherpen (University of Groningen, The Netherlands)Hide
Short biography. Jacquelien Scherpen
received her MSc and PhD M.Sc. and Ph.D. degrees in 1990 and 1994 from the University of Twente, the Netherlands. She then joined Delft University of Technology and moved in 2006 to the University of Groningen as a professor in Systems and Control Engineering at the Engineering and Technology institute Groningen (ENTEG), Faculty of Science and Engineering at the University of Groningen, the Netherlands. From 2013 til 2019 she was scientific director of ENTEG. She is currently director of the Groningen Engineering Center, and Captain of Science of the Dutch top sector High Tech Systems and Materials (HTSM). Jacquelien has held various visiting research positions, such as at the University of Tokyo, and Kyoto University, Japan, Université de Compiegne, and SUPÉLEC, Gif-sur-Yvette, France, and Old Dominion University, VA, USA.
Jacquelien has been and is at the editorial board of a few international journals among which the IEEE Transactions on Automatic Control, and the International Journal of Robust and Nonlinear Control. She received the 2017-2020 Automatica Best Paper Prize. In 2019 she received a royal distinction and is appointed Knight in the Order of the Netherlands Lion, and she is a fellow of IEEE. She has been active at the International Federation of Automatic Control (IFAC), and is currently member of the IFAC council. She is a member of the Board of Governors of the IEEE Control Systems Society, and was chair of the IEEE CSS standing committee on Women in Control in 2020. From 2020 to 2021 she is president of the European Control Association (EUCA).
Her current research interests include model reduction methods for networks, nonlinear model reduction methods, nonlinear control methods, modeling and control of physical systems with applications to electrical circuits, electromechanical systems, mechanical systems, smart energy networks and distributed optimal control applications to smart grids.
At MTNS 2022 Jacquelien Scherpen plans to speak about model reduction of networked systems with nonlinearities.
Claudia Schillings (University of Mannheim, Germany)Hide
Short biography. Claudia Schillings
is Professor in Mathematical Optimization at the Institute for Mathematics, University of Mannheim. Claudia Schillings received her Ph.D. degree from the Department of Mathematics, University of Trier (Germany) in 2011. After two and half years of postdoctoral activity at ETH Zurich (Switzerland) and two years at the University of Warwick (UK), she was visiting professor at the Humboldt University Berlin (Germany) in 2015-2016 and then moved to Mannheim in 2017.
Her research interests focus on the development of efficient methods for large-scale optimization problems in the presence of uncertainty in measurements, models and parameters. She has been working on a unified framework for the proper treatment of uncertainties in inverse and optimization problems for complex applications. Recent work includes the design of preconditioners for sampling techniques in the small noise or large data limit, data-informed approximations of the underlying model and the analysis of particle based methods for inverse problems.
At MTNS 2022 Claudia Schillings is going to speak about identification and minimization of uncertainties for large-scale problems.
Sanne ter Horst (North-West University, Potchefstroom, South Africa)Hide
Short biography. Sanne ter Horst
received his Ph.D. in Mathematics (operator theory) at the VU Amsterdam in the Netherlands in 2007. During his Ph.D. studies he received a training in system and control theory from the Dutch Institute of Systems and Control. After a postdoctoral fellowship at Virginia Tech and assistant professor positions at Utrecht University and Radboud University Nijmegen, he moved to South Africa where he is now a full professor in mathematics at North-West University.
He is currently an associate editor at Quaestiones Mathematicae and Complex Analysis and Operator Theory, where he manages the Linear Operators and Linear Systems section, and has been on the council of the South African Mathematical Society since 2013 in various portfolios.
The focus of his research is on operator theory and matrix analysis methods with applications in system and control theory. More specifically, he has recently worked on metric constrained interpolation, infinite dimensional systems, structured systems and control problems, noncommutative multidimensional systems, and inverse problems.
At MTNS 2022 Sanne ter Horst plans to speak about the infinite dimensional Kalman-Yakubovich-Popov inequality.