Engineering Cooperative Intelligence in Collective Systems
Date:
I gave a flash talk at our department’s internal PhD symposium, presenting an overview of my doctoral research on cooperative intelligence and self-adaptive learning in collective systems.
The talk introduced the broader motivation behind my work: enabling distributed agents to learn, coordinate, and adapt collectively while operating in heterogeneous and dynamic environments. It briefly outlined the connections between federated and cooperative learning, multi-agent systems, aggregate computing, and intelligent edge–cloud applications.
The symposium provided an opportunity to share the main research directions and long-term vision of my work with fellow PhD students and faculty, receive feedback, and identify connections with other research activities across the department.