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Abdalla Swikir
Abdalla Swikir
MIRMI, Technical University of Munich. Germany
Bio: Abdalla Swikir is a Senior Scientist and Teaching Coordinator at the Munich Institute of Robotics and Machine Intelligence (MIRMI), where he leads the Robot Learning research groups. He directs several high-profile EU projects, ranging from robotic design to applying AI on large-scale robotic systems. He is an IEEE senior member and the recipient of the 2023 IEEE CSS George S. Axelby Outstanding Paper and the 2023 IEEE Robotics and Automation Letters Best Paper Awards.
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.
Mechanical Engineering Department, New York University Abu Dhabi, UAE
Bio: Fares J. Abu-Dakka received a BSc in Mechanical Engineering from Birzeit University, Palestine (2003), and advanced degrees (DEA and PhD) in robotics motion planning from the Polytechnic University of Valencia (UPV), Spain (2006, 2011), in addition to M.Sc. in Biomedical Engineering from UPV (2015). His postdoctoral journey began at the Jozef Stefan Institute, Slovenia, in 2012. From 2013 to 2016, he was a Visiting Professor at Carlos III University of Madrid, Spain, followed by a postdoctoral role at the Istituto Italiano di Tecnologia (IIT) from 2016 to 2019. He was a Research Fellow at Aalto University (2019-2022) before joining the Technical University of Munich as a Senior Scientist in 2022, where he led the Robot Learning group at MIRMI. Then he was a Lecturer and Researcher at Mondragon Unibertsitatea, Spain. Currently, he is an Assistant Professor at New York University Abu Dhabi. His research spans control theory, differential geometry, and machine learning, with a focus on improving robot manipulation performance and safety. He also serves as an Associate Editor for IEEE Robotics and Automation Letters (RA-L) and IEEE Transactions on Robotics (T-RO).
Pushpak Jagtap
Pushpak Jagtap
Indian Institute of Science (IISc).
India
Bio: Pushpak Jagtap is an Assistant Professor in the Robert Bosch Center for Cyber-Physical Systems (RBCCPS) at the Indian Institute of Science (IISc), Bangalore, India. Before joining IISc, he was a postdoctoral researcher in the Division of Decision and Control Systems at the KTH Royal Institute of Technology, Sweden. He received a PhD in electrical and computer engineering from the Technical University of Munich (TU Munich), Germany and an M.Tech. in electrical engineering from the Indian Institute of Technology (IIT), Roorkee, India, respectively. He was awarded the prestigious Google India Research Award 2021 for my work in robotics. At RBCCPS, He is leading the Formal Control and Autonomous Systems (FOCAS) Lab.
Necmiye Ozay
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.
University of Washington, USA
Bio: Karen Leung is an Assistant Professor of Aeronautics and Astronautics at the University of Washington, where she is the director of the Control and Trustworthy Robotics Laboratory. Before joining the University of Washington, she was a Research Scientist within the Autonomous Vehicle Research Group at NVIDIA. She received her Ph.D. degree in Aeronautics and Astronautics from Stanford University in 2021. Her main research interests are in the development of safe, intelligent, and trustworthy robotic systems, especially those that interact with humans and operate in safety-critical settings. She is a recipient of the UW + Amazon Science Hub Faculty Research Award, the William F. Ballhaus Prize for best Ph.D. Thesis, and the Qualcomm Innovation Fellowship (US).
Her research focuses on building trustworthy autonomous systems that can operate seamlessly with, alongside, and around humans. Her work lies in the intersection of dynamics and control, robotics, and machine learning.
Sami Haddadin
Sami Haddadin
MIRMI, Technical University of Munich. Germany
Bio: Sami Haddadin is Founding Director and Executive Director of the Munich Institute of Robotics and Machine Intelligence (MIRMI), Professor and Chair of Robotics and Systems Intelligence at the Technical University of Munich (TUM) and IEEE Fellow. Before joining TUM, Sami Haddadin was Professor and Chair of Automatic Control at Gottfried Wilhelm Leibniz Universität Hannover from 2014 to 2018 and received faculty offers from MIT and Stanford. Prior to that, he held various positions as a researcher at the German Aerospace Center (DLR). He has published more than 200 scientific articles in international journals and conferences, many of them award-winning. He has received numerous awards for his scientific work, including the George Giralt Ph.D. Award (2012), the RSS Early Career Spotlight (2015), the IEEE/RAS Early Career Award (2015), the Alfried Krupp Award for Young Professors (2015), the German President’s Award for Innovation in Science and Technology (2017) and the Leibniz Prize (2019). He is a member of the German National Academy of Sciences Leopoldina and the national academy of science and engineering acatech. He was a member of the High-Level Expert Group on AI of the European Commission and is the chairman of the Bavarian AI Council.
Professor Haddadin conducts research in the fields of robotics, Artificial Intelligence (AI), and human neuroscience. His robot developments range from manipulators, Unmanned Aerial Vehicles (UAVs), or mobile systems to humanoids, intelligent prosthetics, and exoskeletons. A strong overarching focus of his work lies in the interface between the development of intelligent machines and the basic principles of the human body and its functionality. His research led to numerous commercializations and real-world uses in industry, healthcare, and consumer markets. He is the founder of Franka Emika GmbH (Munich, 2016). He played a key role in the development of the lightweight robot technology, which became the LBR iiwa in the technology transfer to KUKA AG. His algorithms found their way e.g. into the drones of Skydio Inc. or the intelligent rehabilitation robots of Reactive Robotics.
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