Logo V Conferencia Colombiana  de Control Automático - CCAC, CCAC 2021, IEEE CCAC

5th IEEE Colombian Conference on Automatic Control (CCAC)

19th - 22nd / 2021

Technological advances for sustainable regional development

Keynote speakers

He obtained his engineering degree in 1984, his PhD in automatic control in 1988 and the Habilitation to Conduct Research (HDR) in 1997 from the National Institute of Applied Sciences (INSA) in Toulouse - France, where he is currently a Professor of Exceptional Class dedicated to the area of control.

Professor Garcia is a researcher in the Methods, Algorithms and Control (MAC) group of the Laboratory of Analysis and Architecture of Systems (LAAS) attached to the National Center for Scientific Research (CNRS) in France. His most representative results in the area of control include the direction of more than 20 PhD students, the authorship of two research books and one teaching book, and numerous papers published in journals and conferences, including papers in the journal Automatica and the IEEE Transactions. His research interests include robust and hybrid control theory, matrix inequalities, constrained control and perturbed singularity models.

Germain García
Germain García/ Laboratoire d’Analyse et d’Architecture de Systémes –
LAAS Institut National des Sciences Appliquées – INSA/
He is an associate professor in the Department of Biomedical Engineering at Universidad de los Andes, and he currently is the Vice-provost for Research and Innovation at the same institution. He holds a PhD degree in Biomedical Engineering from the New York State University, and his research is focused on the application of mathematical tools to model biological systems and generate computer simulations that allow for the understanding of observed and hypothetical dynamics and behaviors. He has studied transmission dynamics of diseases such as Chagas, Leishmaniasis, and Dengue. Currently, his research plays an important role to understand the transmission dynamics of COVID-19 in Colombia and the development of mitigation politics.
Juan Manuel Cordovez
Juan Manuel Cordovez/ Universidad de los Andes, Colombia/
He is a full Professor at the Department of Electrical Engineering of KU Leuven, Belgium. He was a research associate at Stanford University and is a guest professor at the Universita di Siena. He served several times as head of cabinet of ministers of Science and Socio-Economic Policy in Belgium and acted as a vice-rector of International Policy of KU Leuven. His fields of research are numerical linear algebra, system theory and control, machine learning and data science, in which he has been guiding more than 80 PhD students and co-authored more than 400 scientific papers and 11 books.
Dr. De Moor has been serving in numerous international scientific and science policy assessment committees, is member of the board of several (inter-)national scientific institutes, funding agencies and spin-off companies, some of which he co-founded. He is one of the architects of the substantial Flanders AI program. He is the chairman of the Capricorn Digital Growth Fund (venture capital), of Health-House (a high-tech science outreach center) and the Alamire Foundation (digital humanities, polyphonic music).
Being awarded with numerous scientific prizes and honors, in 2010 he received the Science Excellence Award from King Albert II of Belgium, and in 2020 was nominated a Commander in the Order of Leopold, by King Filip I.
Bart De Moor
Bart De Moor/ Katholieke Universiteit Leuven, Belgium /
He is a research director at INRAE-LBE since 1993 and is currently Deputy Leader of Division TRANSFORM about “Science for Food, Bioproducts and Waste Engineering” (600 full time positions all over France). He holds a PhD in Process Control (1991). His research interests include modeling and optimization of biological processes for waste and wastewater treatment and valorization. For the last 10 years, the PhD students he supervised were dealing with modeling of microbial diversity, integrating thermodynamics in mass balanced models, developing metabolic models together with innovative real-time instrumentation systems to get closer insights of the ecosystems life in bioprocesses and life cycle analysis to account for environmental impacts. He also broaden his fields of applications, with anaerobic digestion as the core bioprocess but integrating it with innovative processes such as microalgae cultivation for bioenergy and bioproducts sustainable production.He published 275 articles in international peer-reviewed journals, has 11230 citations and a h-index of 52 (Web of Science, January 2021).
Jean-Philippe Steyer
Jean-Philippe Steyer/ INRAE, Laboratoire de Biotechnologie de l'Environnement (LBE) /
He obtained a master's degree in mathematics from the Kuibyshev State University (Samara), in Samara (Russia), in 1976, a doctorate in applied mathematics from the Institute of Control Sciences, in Moscow (Russia), in 1988, and a doctorate in control sciences at the Moscow State University of Mathematics and Electronics (Russia), in 1998. From 1976 to 1999, he worked in the Department of Mathematics of the Samara State University of Architecture and Civil Engineering. In 2002, she joined the Department of Control Engineering and Robotics, Electrical Engineering Division of the Faculty of Engineering of the National Autonomous University of Mexico (UNAM), Mexico. In 2014-2018 she served as Chairman of the Technical Committee on Variable Structure and Sliding Mode Control of the IEEE Control Systems Society.

He has received the Harold Chestnut Award for Control Engineering Textbooks from IFAC in 2021, winner of the National University Award of UNAM in 2019 and the Scopus award for the best cited Mexican Scientists in Mathematics and Engineering 2010. Currently, the professor Fridman is also an International Chair of INRIA, France, and a High Level Foreign Expert of the Ministry of Education of China.
Leonid Fridman
Leonid Fridman/ Universidad Nacional Autónoma de México, México /
He is senior researcher at the Institute of Robotics and Intelligent Systems at ETH Zurich, working with the Autonomous Systems Lab, as well as co-leading the ETH RobotX initiative. Cesar has been a research affiliate in the ARC Centre of Excellence for Robotic Vision and a senior researcher at School of Computer Science of The University of Adelaide. He held a postdoctoral position at the CS Department of George Mason University after getting his PhD in Robotics from the Department of Computer Science and System Engineering at the University of Zaragoza.

His main research interest lies in the interception of perception and learning in robotics. He is particularly interested in how to provide machines the capability of understanding this ever changing world through the sensory information they can gather. He has worked intensively on Robotic Scene Understanding, both geometry and semantics, covering Semantic Mapping, Data Association and Place Recognition tasks, Simultaneous Localization and Mapping problems, as well as persistent mapping in dynamic environments.
Cesar Cadena
Cesar Cadena/ ETH Zurich, Switzerland /
He received the BS degree from the United States Air Force Academy and the MS and PhD degrees from the University of California at Berkeley, all in Electrical Engineering and Computer Science. Between his periods of education, he flew Air Force jets throughout the United States and Canada participating in active Air Defense exercises. In 1989, he joined the Department of EE-Systems at the University of Southern California as the Fred O’Green Assistant Professor of Engineering. Since 1992, he has been at the University of Colorado at Boulder in the Department of Electrical, Computer, and Energy Engineering. He has held visiting positions at many places including University of Padova, Caltech, Instituto Superior Tecnico in Lisbon, Lund Institute of Technology, and Ecole Superieure d’Electricite. He received the Presidential Young Investigator award from the National Science Foundation in 1991.

John Hauser’s research interests include nonlinear dynamics and control, optimization and optimal control, aggressive maneuvering for high performance motorcycles and aircraft and other vehicles, and dynamic visualization. Recent work has focused on the development of optimization (and optimal control) tools and techniques for trajectory exploration with an eye toward characterizing the trajectory space (with limitations) of highly maneuverable nonlinear systems. This work finds application in the control of highly configurable UAVs (with propulsion vectoring) and in the analysis of racing motorcycles.
John Hauser
John Hauser/ University of Colorado, USA /
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