Aris Kanellopoulos

Aris Kanellopoulos is a Research Fellow at the Royal Institute of Technology (KTH) in Stockholm, Sweden. His research focuses on cyber-physical systems security, control theory, adversarial machine learning, and game theory applications. He works within the Control Technology domain, addressing challenges such as adversarial attacks, proactive defense mechanisms, and resilient learning algorithms in dynamic environments. His work often intersects with unmanned aerial vehicles (UAVs), multi-agent systems, and cybersecurity protocols. Kanellopoulos has contributed to over 20 peer-reviewed articles since 2019, with recent publications emphasizing real-time defense strategies, moving target defense mechanisms, and the integration of game theory into control systems. He is affiliated with KTH's academic community and can be contacted at arisk@kth.se.

His research interests span the development of secure control architectures against worst-case attackers, analysis of clock offsets in learning systems, and verification of learning components in safety-critical applications. Notable areas of exploration include poisoning actuation attacks, quickest detection of adversarial activities, and spatial unpredictability for wireless communication security. His work often involves experimental validation and real-time implementations, particularly in multi-agent scenarios and IoT environments.

Kanellopoulos's recent articles highlight advancements in switching control for deception, entropy-based security frameworks, and modular verification approaches. His contributions address both theoretical and practical aspects of cyber-physical security, with applications in water supply networks, autonomous vehicles, and unmanned aerial systems. His research aligns with KTH's focus on sustainable technology and international collaborations, such as projects involving Taiwanese institutions.