Sooraj Skanda
Advancing cooperative intelligence for cyber-physical networks through safe, distributed learning algorithms.
KTH Royal Institute of Technology · Stockholm, Sweden
About
I am a doctoral student at KTH Royal Institute of Technology, working at the intersection of safe reinforcement learning, multi-agent systems, and edge computing. My research focuses on developing cooperative algorithms that enable distributed edge agents to make intelligent, safe decisions while balancing performance, safety, and communication efficiency.
With a foundation in control theory and machine learning from IIT Madras, I bring together control-theoretic precision, ML adaptability, and networked-system resilience to tackle real-world challenges in network systems.
