Invited Speakers
Dr. Javier Alonso-Mora is an associate professor at the Cognitive Robotics department of the Delft University of Technology, where he leads the Autonomous Multi-Robots Lab. Before joining TU Delft, Dr. Alonso-Mora was a postdoctoral associate at the Massachusetts Institute of Technology (MIT). He received his Ph.D. degree in robotics from ETH Zurich. His main research interest is in navigation, motion planning, learning, and control of autonomous mobile robots, and teams thereof, that interact with other robots and humans in dynamic and uncertain environments. He has received multiple awards, including the IEEE T-ASE Best Paper Award (2024), an ERC Starting Grant (2021), and the ICRA Best Paper Award on Multi-Robot Systems (2019).
Dr. Sergio Grammatico Sergio Grammatico (B.Sc. Computer Engineering, 2018, M.Sc. Automatic Control, 2019, Ph.D. Automatic Control, 2013) is an Associate Professor at the Delft Center for Systems and Control, TU Delft, The Netherlands from 2017. In the period 2012-2017, he held research positions at the University of California Santa Barbara, CA, USA, at ETH Zurich, Switzerland, and at TU Eindhoven, The Netherlands.
Dr. Grammatico was awarded the Best Paper Award at the 2016 International Conference on Network Games, Control and Optimization, the 2021 Roberto Tempo Best Paper Award, and the 2022 IEEE CSS Italy Young Author Best Journal Paper Award as a co-author. He was team leader of the ETH Autonomous Sailing Team, winner of the 2015 World Robotic Sailing Championship, and of the TU Delft team winner of the 2020/2021 JRC Autonomous Vehicle Traffic Competition.
He is currently an Associate Editor for IEEE Transactions on Automatic Control and for IFAC Automatica. His research interests include multi-agent systems, dynamic game theory and optimal control.
Dr. Barys Shyrokau received the DiplEng degree (cum laude), 2004, in Mechanical Engineering from the Belarusian National Technical University and a joint Ph.D. degree, 2015, in Control Engineering from Nanyang Technological University, Singapore, and Technical University of Munich, Germany. He is an Associate Professor at the Delft University of Technology, The Netherlands, and his research interests are vehicle dynamics and control, motion comfort, and driving simulator technology. Scholarship and award holder of IFAC, SAE, FISITA, DAAD, SINGA, ISTVS, and CADLM.
School Teachers and Organizers
Dr. Vasso Reppa received the Ph.D. degree in electrical and computer engineering from the University of Patras, Patras, Greece, in 2010. From 2011 to 2017, she was a Research Associate with the KIOS Research and Innovation Center of Excellence, Nicosia, Cyprus. In 2013, she was awarded the Marie Curie Intra European Fellowship and worked as a Research Fellow with CentraleSupélec, University of Paris-Saclay, Gif-sur-Yvette, France, from 2014 to 2016. She was a Visiting Researcher with Imperial College London, London, U.K., in 2016; and with The University of Newcastle, Callaghan, NSW, Australia, in 2015. She is currently an Assistant Professor with the Maritime and Transport Technology Department, Delft University of Technology, Delft, The Netherlands, and the Principal Investigator of the research group SAFE-NET. She has been involved in several research and development projects (e.g., HorizonEurope SEAMLESS, H2020 NOVIMOVE, NWO READINESS, and Marie Curie ETN AUTOBarge). Her research focuses on multi-agent design for ensuring the safety and autonomy of maritime transport systems and operations.
Dr. Holger Caesar is a tenured Assistant Professor in the Intelligent Vehicles group of the Cognitive Robotics Department of TU Delft in the Netherlands. Holger’s research interests are in the area of Autonomous Vehicle perception and prediction, with a particular focus on scalability of learning and annotation approaches. Previously Holger was a Principal Research Scientist at an autonomous vehicle company called Motional (formerly nuTonomy). There he started 3 teams with 20+ members that focused on Data Annotation, Autolabeling and Data Mining. Holger received a PhD in Computer Vision from the University of Edinburgh in Scotland under Prof. Dr. Vittorio Ferrari and studied in Germany and Switzerland (KIT Karlsruhe, EPF Lausanne, ETH Zurich). He is best known for developing the influential autonomous driving datasets nuScenes and nuPlan, as well as his contributions to the real-time 3d object detection method PointPillars.
Dr. Bilge Atasoy is an associate professor at TU Delft, Mechanical Engineering in the Department of Maritime and Transport Technology. She develops methodologies towards adaptive transport and logistics systems. Her research lies at the intersection of operations research, behavioral modeling and learning algorithms. Her application areas cover various transport and logistics systems with a focus on multimodality. She is the recipient of ERC Starting Grant on Adaptive Transportation and Logistics Systems and runs other national and international projects including the NWO project TRiLOGy that focuses on the multimodal city logistics. Prior to joining TU Delft, Bilge was a research scientist at the Intelligent Transportation Systems Lab at MIT where she managed projects on real-time optimization as well as choice-based optimization for various transport systems. Bilge received her PhD from EPFL as part of the Transport and Mobility Lab and prior to that she studied at Bogazici University, Türkiye for her MSc and BSc degrees.
Dr. Laura Ferranti received her Ph.D. from Delft University of Technology, Delft, The Netherlands, in 2017. She is currently an assistant professor in the Cognitive Robotics department at Delft University of Technology, Delft, The Netherlands, where she leads the Reliable Robot Control (R2C) Lab. She is the recipient of an NWO Veni Grant from The Netherlands Organisation for Scientific Research (2020), and of the Best Paper Award in Multirobot Systems at ICRA 2019. Her research interests include optimization and optimal control, model predictive control, reinforcement learning, and embedded optimization-based control with applications in flight control, maritime transportation, robotics, and automotive.