Professor, Uppsala University, Sweden

Ginevra Castellano is a Full Professor in Intelligent Interactive Systems at the Department of Information Technology of Uppsala University, Sweden, where she is the Founder and Director of the Uppsala Social Robotics Lab. Her research is in the area of social robotics and human-robot interaction, addressing questions on how we can build human-robot interactions that are ethical and trustworthy, including robot ethics, robot autonomy and human oversight, gender fairness, robot transparency and trust, human-robot relationship formation, both from the perspective of developing computational skills for robotic systems, and their evaluation with human users to study acceptance and social consequences. She has been the Principal Investigator of several national and EU-funded projects on ethical and trustworthy human-robot interaction, in application areas spanning education, healthcare, and transportation systems. She is currently the coordinator of the CHANSE-NORFACE MICRO (Measuring children’s wellbeing and mental health with social robots) project (2025-2028), and the WASP-HS Research Group on Child Development in the Age of AI and Social Robots (2025-2030, funded by WASP-HS Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society. Castellano was an invited speaker at the UN AI for Good Global Summit 2024 and a keynote speaker the World Summit AI 2024. She was recently awarded the Thuréus prize 2025 from the Royal Society of Sciences in Uppsala.

Assistant Professor, University of Wisconsin-Madison, US

Mike Hagenow is an Assistant Professor in the Department of Computer Sciences at the University of Wisconsin - Madison, where he leads the Robot Teaching and Teaming Lab (RT^2). Previously, he was a postdoctoral fellow in CSAIL at the Massachusetts Institute of Technology. He received the B.S. degree in Mechanical Engineering from Tufts University in 2014 and the M.S./Ph.D. degrees in Mechanical Engineering from the University of Wisconsin-Madison in 2019 and 2023, respectively. His work has previously been supported by funding from NSF, NASA, the Grainger Wisconsin Distinguished Graduate Fellowship (WDGF), and the MIT Postdoctoral Fellowship Program for Engineering Excellence (PFPFEE). His research interests include human-robot interaction, shared control/autonomy, and robot learning.