Mykel Kochenderfer is a professor of Aeronautics and Astronautics at Stanford University. He is the director of the Stanford Intelligent Systems Laboratory (SISL), conducting research on advanced algorithms and analytical methods for the design of robust decision making systems, ranging from unmanned aircraft to driverless cars. He is also the director of the SAIL-Toyota Center for AI Research at Stanford and a co-director of the Center for AI Safety. He received a Ph.D. from the University of Edinburgh and B.S. and M.S. degrees in computer science from Stanford University. He is an author of the textbooks "Decision Making under Uncertainty: Theory and Application" and "Algorithms for Optimization", both from MIT Press.

Katie Driggs-Campbell is currently an Assistant Professor in the ECE Department at the University of Illinois at Urbana-Champaign. Her research focuses on exploring and uncovering structure in complex human-robot systems to create more intelligent, interactive autonomy. She draws from the fields of optimization, learning & AI, and control theory, applied to human robot interaction and autonomous vehicles. Previously, she was a postdoctoral research scholar in the Aero-Astro Department in the Stanford Intelligent Systems Lab and received her MS and PhD in Electrical Engineering and Computer Science from the University of California, Berkeley.

Jens Schulz is a PhD student at the Chair of Robotics, Artificial Intelligence and Real-time Systems at the Technical University of Munich and at the BMW Group. He received his bachelor and master of science in electrical engineering and information technology from the Karlsruhe Institute of Technology, Germany, in 2012 and 2015, respectively. Currently, he is working on interaction-aware behavior prediction of traffic participants and on motion planning under uncertainty in the area of autonomous vehicles. His research interests include robotics, decision making, Bayesian inference and machine learning, with a focus on the intersection of planning and prediction.

Constantin Hubmann received the bachelor’s and master’s degree in electrical engineering and information technology from Technische Universität München, Munich, Germany, in 2012 and 2014, respectively. He is currently working toward the Doctoral degree with the Chair of Measurement and Control Engineering, Karlsruher Institut für Technologie, Karlsruhe, Germany and in cooperation with the BMW Group. His research interests include maneuver decisions and motion planning under uncertainty for autonomous driving.