Organizers

 

Abdalla Swikir

MIRMI, Technical University of Munich. Germany

Bio: Abdalla Swikir is a senior scientist as well as a teaching coordinator at the Munich Institute of Robotics and Machine Intelligence, Technical University of Munich (TUM), Germany. He is also a faculty member in the Electrical Engineering Department, Omar Al-Mukhtar University, Albyada, Libya. He received a B.Sc. degree in Electrical Engineering in 2008 from Omar Al-Mukhtar University, Albyada, Libya, an M.Sc. degree in Electrical Engineering in 2015 from Ohio State University, Columbus, OH, USA, and a Ph.D. in Electrical Engineering in 2020 from the Technical University of Munich, Munich, Germany.

His research interests are robotic and mechatronics, formal methods, compositional analysis and synthesis of interconnected hybrid systems using Symbolic Models, abstraction-based-techniques controller synthesis, security in large-scale cyber-physical systems, control barrier functions, stability analysis for Infinite network of nonlinear systems, and sliding mode control.

Electronic and Informatic Department, Mondragon Unibertsitatea. Spain

Bio: Fares J. Abu-Dakka received a B.Sc. degree in mechanical engineering from Birzeit University, Birzeit, Palestine, in 2003 and the M.Sc. and Ph.D. degrees in robotics motion planning from the Polytechnic University of Valencia (UPV), Spain, in 2006 and 2011, respectively. Currently, he is a Lecturer and Researcher at Mondragon Unibertsitatea- Faculty of Engineering- Electronic and Informatic Department. Previously, he was a Senior Scientist with the Munich Institute of Robotics and Machine Intelligence (MIRMI) at Technische Universität München, Germany. From 2019 to 2022, he was researching with the Intelligent Robotics Group at Aalto University, and between 2017 and 2019, he was part of the Istituto Italiano di Tecnologia (IIT). Between 2013 and 2016, he was holding a Visiting Professor position with the Department of Systems Engineering and Automation at Carlos III University of Madrid, Spain.

His research lies in the intersection of control theory, differential geometry, and machine learning in order to enhance robot manipulation performance and safety.


Sami Haddadin

MIRMI, Technical University of Munich. Germany

Bio: Sami Haddadin (Senior Member, IEEE) received the Dipl.-Ing. degree in electrical engineering and M.Sc. degree in computer science from the Technical University of Munich (TUM), Munich, Germany, in 2005 and 2009, respectively, the Dr.-Ing. degree in electrical engineering from RWTH Aachen, Aachen, Germany, in 2011, and the Honours degree in technology management from the Technical University of Munich and the Ludwig Maximilian University of Munich, Munich, Germany. He is the Founding and Executive Director of the Munich Institute of Robotics and Machine Intelligence, TUM, and the Chair of Robotics and Systems Intelligence. He has made significant contributions to tactile mechatronics, contact-aware robots, safety methods in human-robot interaction, and autonomous manipulation learning. From 2014 to 2018, he was the Chair of the Institute of Automatic Control, Gottfried Wilhelm Leibniz University Hannover, Hanover, Germany. He was a Researcher with the German Aerospace Center, Cologne, Germany. He is the Founder of Franka Emika, Munich, Germany. He has authored or authored more than 200 scientific articles in international journals and conferences, and many of them were award winning. His research interests include human-centered robotics, embodied artificial intelligence, collective intelligence, and human-robot symbiosis. Prof. Haddadin was the recipient of numerous awards for his scientific work, including several best paper awards at International Conference on Robotics and Automation, IEEE/RSJ International Conference on Intelligent Robots and Systems, and IEEE Transactions on Robotics, George Giralt Ph.D. Award in 2012, RSS Early Career Spotlight in 2015, IEEE/RAS Early CareerAward in 2015, Alfried Krupp Award for Young Professors in 2015, German President’s Award for Innovation in Science and Technology in 2017, and Leibniz Prize in 2019.

Gitta Kutyniok

Ludwig Maximilian University of Munich. Germany

Bio: Gitta Kutyniok received the Diploma degree in mathematics and computer science and the Ph.D. degree from Universität Paderborn, Germany, and the Habilitation degree in mathematics from the Justus-Liebig Universität Gießen, in 2006. From 2001 to 2008, she held visiting positions at several U.S. institutions, including Princeton University, Stanford University, Yale University, Georgia Institute of Technology, and Washington University in St. Louis, and was a Nachdiplomslecturer with ETH Zurich in 2014. In 2008, she became a Full Professor of mathematics with the Universität Osnabrück, and moved to Berlin three years later, where she held the Einstein Chair of the Institute of Mathematics, Technische Universität Berlin and a courtesy appointment with the Department of Computer Science and Engineering until 2020. She is currently the Bavarian AI Chair of Mathematical Foundations of Artificial Intelligence, Ludwig-Maximilians Universität München, and an Adjunct Professorship in machine learning with the University of Tromsø. Her main research interests include in the areas of applied harmonic analysis, artificial intelligence, compressed sensing, high-dimensional data analysis, imaging science, inverse problems, machine learning, partial differential equations, and applications to life sciences and telecommunication. Dr. Kutyniok became a member of the Berlin-Brandenburg Academy of Sciences and Humanities in 2017 and SIAM Fellow. She received various awards for her research, such as an Award from the Universität Paderborn in 2003, the Research Prize of Gießen and a Heisenberg-Fellowship in 2006, the von Kaven Prize by the DFG in 2007, and an Einstein Chair in 2008. She gave the Noether Lecture at the ÖMG-DMV Congress in 2013 and the Hans Schneider ILAS Lecture at IWOTA in 2016. She received the Francqui Chair of the Belgian Francqui Foundation in 2020, and has been holding the first Bavarian AI Chair at LMU since 2020. She was Chair of the SIAM Activity Group on Imaging Sciences from 2018 to 2019 and the Co-Chair of the first SIAM conference on Mathematics of DataScience in 2020. She also serves as the Founding Vice-Chair of the new SIAM Activity Group on Data Science. She was the Scientific Director of the Graduate School BIMoS, TU Berlin, from 2014 to 2020. She is currently the Chair of the GAMM Activity Groups on Mathematical Signal- and Image Processing and Computational and Mathematical Methods in Data Science. She is also the main Coordinator of the Priority Programm of the German Research Foundation on theoretical foundations of deep learning

Wolfram Burgard

Technical University of Nuremberg . Germany

Bio: Wolfram Burgard received a Ph.D. degree in computer science from the University of Bonn, Bonn, Germany, in 1991. He is a full professor at University of Technology Nuremberg.

His areas of interest lie in robotics and artificial intelligence. Prof. Burgard and his group developed several innovative techniques for robot navigation, perception, and control. He is head of the BrainLinks-BrainTools Center at the University of Freiburg. He is a fellow of the AAAI, the EurAi, and the ELLIS Society. He is also a Member of the German Academy of Sciences Leopoldina and the Heidelberg Academy of Sciences and Humanities.

Majid Zamani

 University of Colorado Boulder. USA

Bio: Majid Zamani is an associate professor in the Computer Science Department at University of Colorado Boulder and leading Hybrid Control Systems Lab. Between May 2014 and January 2019, he was an assistant professor (W2 grade) in the Department of Electrical Engineering at Technical University of Munich. He received a Ph.D. degree in Electrical Engineering and an MA degree in Mathematics both from University of California, Los Angeles in 2012, an M.Sc. degree in Electrical Engineering from Sharif University of Technology in 2007, and a B.Sc. degree in Electrical Engineering from Isfahan University of Technology in 2005. He received the NSF Career award in 2022 and ERC starting grant award from the European Research Council in 2018.

His research interests include verification and control of cyber-physical systems, hybrid systems, embedded control software synthesis, networked control systems, and incremental properties of nonlinear control systems.

Necmiye Ozay

University of Michigan, USA

Bio: Necmiye Ozay (Senior Member, IEEE) received the B.S. degree in electrical engineering from Bogazici University, Istanbul, Turkey, in 2004, the M.S. degree in electrical engineering from Pennsylvania State University, University Park, PA, USA, in 2006 and the Ph.D. degree in electrical engineering from Northeastern University, Boston, MA, USA, in 2010. She was a Postdoctoral Scholar with the California Institute of Technology, Pasadena, CA, USA, between 2010 and 2013. She joined the University of Michigan, Ann Arbor, MI, USA, in 2013, where she is currently an Associate Professor of electrical engineering and computer science. She is also a Member of the Michigan Robotics Institute.

 Her research interests include hybrid dynamical systems, control, optimization and formal methods with applications in cyber-physical systems, system identification, verification and validation, autonomy, and dynamic data analysis. She was the recipient of the 1938E Award and a Henry Russel Award from the University of Michigan for her contributions to teaching and research, and five young investigator awards, including NSF CAREER, and the 2021 Antonio Ruberti Young Researcher Prize from the IEEE Control Systems Society for her fundamental contributions to the control and identification of hybrid and cyber-physical systems. Her papers have received several awards.