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ENSTA Paris, France
Bio: Elena Vanneaux is currently an assistant professor at ENSTA Paris in the U2IS department. Before joining ENSTA, she was a postdoctoral researcher at LIX, École Polytechnique. She holds a Ph.D. from the University of Paris-Saclay and a Master’s from Lomonosov Moscow State University. Her research interests include robotics with safety guarantees, formal verification, multi-agent systems, abstraction-based control design.
KTH Royal Institute of Technology, Sweden
Bio: Siyuan Liu is currently a Wallenberg-NTU Presidential Postdoctoral Fellow (Forskare) at the Division of Decision and Control Systems at the KTH Royal Institute of Technology, Sweden. From 2023 to 2024, she was a Digital Futures Postdoc Fellow at KTH. Before joining KTH, she was a research assistant in the Hybrid Control Systems (HyConSys) Lab at Ludwig-Maximilian University of Munich, Germany. She received her Ph.D. degree (in Electrical and Computer Engineering, 2022) from Technical University of Munich (TUM), Germany, her M.E. degree (in Control Engineering, 2017) and B.E. degree (in Automation Science, 2014) both from Beihang University, China. In 2021, she was a visiting researcher at KTH Royal Institute of Technology, Stockholm, Sweden.
Mechanical Engineering Program, 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 2022-2023, where he led the Robot Learning group at MIRMI. Then he was a Lecturer and Researcher at Mondragon Unibertsitatea, Spain in 2023-2024. 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).
MBZUAI, Abu Dhabi, UAE
Bio: Abdalla Swikir is an Assistant Professor of Robotics at the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE. He is also an IEEE Senior Member and the recipient of the 2023 IEEE CSS George S. Axelby Outstanding Paper Award and the 2023 IEEE Robotics and Automation Letters Best Paper Award. In addition, he is actively involved in several IEEE Robotics and Automation Society committees. Abdalla Swikir also serves on the Advisory Board and the Steering Committee of the International Elite Summer School in Robotics and Entrepreneurship.
Before joining MBZUAI, Abdalla Swikir was a Senior Scientist and Teaching Coordinator at the Munich Institute of Robotics and Machine Intelligence (MIRMI), where he led the Robot Learning research groups and coordinated and delivered various robotics and control courses. Furthermore, he led several high-profile EU projects with a focus ranging from robotic design to applying AI to large-scale robotic systems.
His research interests lie at the intersection of artificial intelligence and robotics, focusing on pioneering new strategies that harness AI's potential to enhance robotic control systems. Abdalla Swikir is particularly drawn to designing and analyzing innovative robotic systems that integrate AI-driven safe learning methodologies, empowering robots and autonomous systems to adapt seamlessly to their environments while upholding safety standards. His work involves the compositional analysis of large-scale interconnected systems and the use of symbolic control and control barrier functions to ensure stability across infinite networks.
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