3rd IFAC CESCIT’18 features 4 plenary lectures. Biographies of the authors are provided below.
(Photos taken during the conference can be found on Facebook).
Lucian Busoniu received the M.Sc. degree (valedictorian) from the Technical University of Cluj-Napoca, Romania, in 2003, and the Ph.D. degree (cum laude) from the Delft University of Technology, the Netherlands, in 2009. He is an associate professor with the Department of Automation at the Technical University of Cluj-Napoca, and has previously held research positions in the Netherlands and France. His fundamental interests include planning-based methods for nonlinear optimal control, reinforcement learning and dynamic programming with function approximation, and multiagent systems; while his practical focus is applying these techniques to robotics. He coauthored an introductory book on approximate reinforcement learning and planning, and was the recipient of the 2009 Andrew P. Sage Award for the best paper in the IEEE Transactions on Systems, Man, and Cybernetics.
Since 2008, René Zweigel is scientific researcher at the Institute of Automatic Control at RWTH Aachen University developing new control approaches for combustion engines and engine control units.
Since 2015 he is managing the group Galileo, which is engaged with developing GNSS-based applications and sensor fusion techniques as a base for autonomous driving and navigation/maneuvering. His group focuses on automobile applications and also on automated applications for trains, drones and vessels.
He is project manager of a research project called GALILEOnautic, which deals with autonomous navigation and optimal maneuvering of cooperative ships within harbors. Within the project, one key-aspect (among others) is the integration of the new European satellite system Galileo as source of accurate and reliable localization.
Since September of 2017 René Zweigel is Senior Scientists at the Institute of Automatic Control and responsible for the development of current and future GNSS-based navigation projects.
Alfons Crespo is Professor of the Department of Computer Engineering of the Technical University of Valencia. He received the Ph.D. in Computer Science from the Technical University of Valencia, Spain, in 1984. He held the position of full Professor in 1991. He leads the group of Industrial Informatics and has been the responsible of several European FP7 and H2020 projects such as DREAMS, MultiPARTES, OCERA, FRESCOR, etc. and Spanish research projects. His main research interest include different aspects of the real-time systems (virtualization, scheduling, hardware support, scheduling and control integration, …). He has published more than 100 papers in specialized journals and conferences in the area of real-time systems.
Title: https: Partitioned-Control-Systems
Jose C. Principe (M’83-SM’90-F’00) is a Distinguished Professor of Electrical and Computer Engineering and Biomedical Engineering at the University of Florida where he teaches advanced signal processing, machine learning and artificial neural networks (ANNs) modeling. He is BellSouth Professor and the Founder and Director of the University of Florida Computational NeuroEngineering Laboratory (CNEL) www.cnel.ufl.edu . His primary area of interest is processing of time varying signals with adaptive neural models. The CNEL Lab has been studying signal and pattern recognition principles based on information theoretic criteria (entropy and mutual information).
Dr. Principe is an IEEE Fellow. He was the past Chair of the Technical Committee on Neural Networks of the IEEE Signal Processing Society, Past-President of the International Neural Network Society, and Past-Editor in Chief of the IEEE Transactions on Biomedical Engineering. Dr. Principe has more than 800 publications. He directed 98 Ph.D. dissertations and 65 Master theses. He wrote in 2000 an interactive electronic book entitled “Neural and Adaptive Systems” published by John Wiley and Sons and more recently co-authored several books on “Brain Machine Interface Engineering” Morgan and Claypool, “Information Theoretic Learning”, Springer, and “Kernel Adaptive Filtering”, Wiley.