Shankar Deka

Shankar Deka is an Assistant Professor at the Department of Electrical Engineering and Automation, Aalto University, leading the Nonlinear Systems and Control research group. He is affiliated with the Finnish Center for Artificial Intelligence (FCAI). His research focuses on integrating nonlinear stability theory, optimal control, and machine learning to develop safe and robust robotic systems. Applications include telerobotic surgery, precision agriculture, and human-multirobot systems.

His work explores cutting-edge topics such as Koopman operator theory for control design, adversarial attacks on neural networks, and human-in-the-loop robotics. Key contributions include advancements in convex optimization for state-constrained control, path-integral methods for system analysis, and safety-critical coordination of robotic manipulators.

Recent publications highlight innovations like human-in-the-loop precision agriculture systems, robotic mirror therapy for stroke rehabilitation, and neural Lyapunov functions for nonlinear attractors. His research bridges theoretical foundations with practical applications in cyber-physical systems, medical robotics, and agricultural automation.

Shankar Deka’s profile reflects a strong commitment to interdisciplinary research at the intersection of control theory, machine learning, and robotics. His work aims to create certifiably safe systems with broad societal impact.