Arunava Naha

Arunava Naha is an Assistant Professor in the Department of Electrical Engineering at Linköping University, Sweden, affiliated with the Information Coding (ICG) research group. His work bridges control theory, cybersecurity, and machine learning, focusing on secure and reliable operation of networked and cyber-physical systems.

His research interests include:

• Optimal and risk-constrained control under uncertainty
• Reinforcement learning for control systems
• Detection of deception and replay attacks in cyber-physical systems
• Physical watermarking for active intrusion detection
• Sequential change detection and statistical monitoring

The recent publications show a strong trend in applying machine learning and stochastic control techniques to enhance the security and resilience of networked control systems. His work often involves probabilistic constraints, model-free methods, and quickest detection frameworks, contributing to both theoretical advances and practical solutions in critical infrastructure protection.

Scientific awards:

• No awards mentioned in the provided text.

Advising and grants:

• No information available on students, advising, or funded grants.

Labs, teams, and research groups:

Arunava Naha is part of the Information Coding (ICG) group within the Department of Electrical Engineering at Linköping University, which conducts research in communication, signal processing, and control systems with applications in secure and reliable information transmission and system operation.