Doctoral student position at the School of Engineering Sciences at KTH Royal Institute of Technology.
With the increasing integration of intelligent systems in human life, it’s urgent to investigate control, optimization, and learning systems coupling with strategic/human agents. Examples of such systems range from transportation systems to human-robot teaming, smart grids, and federated learning. In these mixed-autonomy systems, the human agents, rational and self-interest, actively participate in and significantly influence the operations and dynamics of the systems. To ensure the accuracy and efficiency of these systems, it needs an incentive-driven scheme to motivate and regulate the strategic agents, such that they behave in a voluntary, authentic, and non-malicious way. This doctoral project will target this challenge by studying games and mechanism design in control, optimization, and data exchange among a network of strategic agents. The project will span theory, algorithms, as well as applications in the related fields.