Amritam Das

Amritam Das is an Assistant Professor in the Control Systems group at the Department of Electrical Engineering, Eindhoven University of Technology. His research focuses on developing physics-informed computational methods for control systems, emphasizing robust and nonlinear control of multi-physics systems, physics-enabled machine learning, and model reduction.

Education:

• B.Tech. (Gold Medal) in Mechatronics Engineering, India (2014)
• M.Sc. in Systems and Control, TU Eindhoven (2016)
• Ph.D. in Electrical Engineering, TU Eindhoven (2020)

Research Interests:

• Integration of physics principles with data-driven techniques
• Control of high-tech systems, power generation, and neuroengineering
• Development of partial integral equation (PIE) frameworks for coupled ODE-PDE systems

Recent Work Trends: Recent publications emphasize low-order LPV approximations, climate control systems, and operator learning for traffic flow. His methods often address challenges in spatial-temporal systems and nonlinear dynamics.

Awards:

• BTech Gold Medal in Mechatronics Engineering
• ALSP Scholarship (TU Eindhoven)
• Océ Merit Scholarship

Labs/Groups: Active in the Control Systems group and contributes to initiatives like the Spatial-Temporal Systems for Control and Systems and Control for Health.