Dr. Antonios Tsourdos is a Professor of Autonomous Systems and Control with Cranfield University. He was appointed Head of the Autonomous Systems Group in 2007, Head of the Centre of Autonomous and Cyber-Physical Systems in 2012 and Director of Research - Aerospace, Transport and Manufacturing in 2015. Professor Tsourdos is chair of the IFAC Technical Committee on Aerospace Control. He is also member of the AIAA Task Force on Advanced Air Mobility Certification and BSI Flex 1903 - Future Flight Systems – Vocabulary. Professor Tsourdos research is focussed on autonomy. He has published widely on guidance, control and navigation for single and multiple autonomous vehicles as well as mission planning and currently on the safe integration of UAS in non segregated airspace as well as the assured PNT for UAS.

Dr. Irene M. Gregory is the NASA Senior Researcher for Advanced Control Theory and Applications. She leads a multidisciplinary research team across multiple programs and projects focusing on robust autonomous systems, self-aware vehicle intelligent contingency management, resilient learning control for advanced, unconventional configurations with particular focus on Urban Air Mobility and integration of autonomous cargo into the NAS.  Her research has been documented in over 140 technical publications in peer-reviewed journals and conferences, and in numerous invited lectures and presentations.  Dr. Gregory serves in leadership or advisory roles on various government, industry and professional societies autonomy related committees.  She is a recipient of the NASA Exceptional Service Medal.  Dr. Gregory received a S.B. in Aeronautics and Astronautics from Massachusetts Institute of Technology and a Ph.D. in Control and Dynamic Systems from California Institute of Technology.  She is a Fellow of AIAA and a senior member of IEEE. 

Dr. Chen Lv (also spelled as Lyu, Chen) is a Nanyang Assistant Professor of School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore. He also holds joint appointments as the Cluster Director in Future Mobility Solutions at ERI@N, Thrust Lead in Smart Mobility and Delivery, Continental-NTU Corp Lab, and the Program Lead in Next Generation AMR, Schaeffler-NTU Joint Lab. He received the PhD degree from the Department of Automotive Engineering, Tsinghua University, China, in Jan 2016, with a joint PhD at EECS Dept., University of California, Berkeley, USA. He was a Research Fellow at Advanced Vehicle Engineering Center, Cranfield University, UK, during 2016-2018. He joined NTU and founded the Automated Driving and Human-Machine System (AutoMan) Research Lab since June 2018. His research focuses on advanced vehicle control and intelligence, where he has contributed 3 books, over 100 papers, and obtained 12 granted patents and 5 patent applications. 

Dr. Shaoshuai Mou is an associate professor in the School of Aeronautics and Astronautics at Purdue University. He completed his Ph.D. student from Steve Morse’ group in Electrical Engineering at Yale University in 2014, worked as a postdoc researcher at MIT for a year, and then joined Purdue University as a tenure-track assistant professor in Aug. 2015. His research has been focusing on advancing control theories with recent progress in optimization, networks and learning to address fundamental challenges in autonomous robots, with particular research interests in multi-agent systems, control of autonomous robots, learning and adaptive systems, cybersecurity and resilience. Dr. Mou co-directs Purdue’s research Center for Innovation in Control, Optimization and Networks (ICON) launched in 2020 consisting of more than 70 faculty from 12 departments across Purdue University. Dr. Mou also served as interim co-chair for Purdue University Strategic Initiative: Autonomous and Connected Systems Initiative (ACSI) in Spring/Summer in 2022. 

Dr. Marco Pavone is an Associate Professor of Aeronautics and Astronautics at Stanford University, where he is the Director of the Autonomous Systems Laboratory and Co-Director of the Center for Automotive Research at Stanford. Before joining Stanford, he was a Research Technologist in the Robotics Section at the NASA Jet Propulsion Laboratory. He received a Ph.D. degree in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 2010. His main research interests are in the development of methodologies for the analysis, design, and control of autonomous systems, with an emphasis on self-driving cars, autonomous aerospace vehicles, and future mobility systems. He is a recipient of several awards, including a Presidential Early Career Award for Scientists and Engineers from President Barack Obama, an ONR Young Investigator Award, an NSF CAREER Award, and a NASA Early Career Faculty Award. He was identified by the American Society for Engineering Education (ASEE) as one of America's 20 most highly promising investigators under the age of 40. His work has been recognized with best paper nominations or awards at the International Conference on Intelligent Transportation Systems, at the Field and Service Robotics Conference, at the Robotics: Science and Systems Conference, and at NASA symposia. 

Dr. Konstantinos Alexis is a Full Professor at the Department of Engineering Cybernetics of the Norwegian University of Science and Technology (NTNU) at Trondheim, Norway. Before joining NTNU, he was an Associate Professor at the University of Nevada, Reno and the Department of Computer Science and Engineering, where he got tenured at the end of 5-th year of work. Prior to that he had been working as a Senior Researcher at the Autonomous Systems Lab (ASL) of ETH Zurich led by Prof. Roland Siegwart. He obtained my PhD on Unmanned Systems Control and Collaboration under the supervision of Prof. Anthony Tzes, at the Anemos Group of the University of Patras in Greece. 

Dr. Davide Scaramuzza (Italian) is a Professor of Robotics and Perception at both departments of Informatics (University of Zurich) and Neuroinformatics (joint between the University of Zurich and ETH Zurich), where he directs the Robotics and Perception Group. His research lies at the intersection of robotics, computer vision, and machine learning, using standard cameras and event cameras, and aims to enable autonomous, agile, navigation of micro drones in search-and-rescue applications.