Amritam Das
Department
RESEARCH PROFILE
Amritam Das is an assistant professor in the Control Systems (CS) group at the Department of Electrical Engineering. His research develops computational methods for designing control systems that complements the ever-increasing availability of data with the power of physics. His research interests are robust and nonlinear control of multi-physics systems, physics-enabled learning for control, and model reduction. His research has been sucessfully applied to various technology trends in high-tech systems, power generation and neuroengineering.
Physics-centric and system-level thinking is the key to unlocking the full potential of data-driven technologies.
ACADEMIC BACKGROUND
Amritam Das received BTech. degree with a gold medal in Mechatronics Engineering from India in 2014. Then he joined Eindhoven University of Technology with an ALSP scholarship for pursuing his post-graduate study during which he was also a recipient of the Océ Merit Scholarship. After completing an MSc. in Systems and Control in 2016, till 2020, he was a doctoral candidate in the department of Electrical Engineering. After receiving his PhD. degree, till 2021, he was a research associate at the Control Group, University of Cambridge. During this period, he was also a research affiliate at Sidney Sussex college. During 2021-2022, he was a post-doctoral scholar at the Division of Decision and Control Systems of KTH Royal Institute of Technology, Sweden. Since February 2023, he has been working as an assistant professor at the Control Systems group.
Recent Publications
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Amritam Das,Mahnaz Shokrpour Roudbari,Amol Khalate,Siep Weiland
Soft Sensing-Based In Situ Control of Thermofluidic Processes in DoD Inkjet Printing
IEEE Transactions on Control Systems Technology (2022) -
Ricky J.R. van Kampen,Amritam Das,Siep Weiland,Matthijs van Berkel
A Closed-Form Solution to Estimate Spatially Varying Parameters in Heat and Mass Transport
IEEE Control Systems Letters (2021) -
R.J.R. van Kampen,Amritam Das,Siep Weiland,Matthijs van Berkel
A Closed-Form Solution to Estimate Spatially Varying Parameters in Heat and Mass Transport
2021 American Control Conference, ACC 2021 (2021) -
R.J.R. van Kampen,Amritam Das,Siep Weiland,Matthijs van Berkel
A Linear Least Squares Approach to Estimate Space-Dependent Parameters in Heat and Mass Transport
Benelux Workshop on Systems and Control 2021 (2021) -
R.J.R. van Kampen,Amritam Das,Siep Weiland,Matthijs van Berkel
A closed-form solution to estimate space-dependent parameters in heat and mass transport
Physics@Veldhoven 2021 (2021)
Ancillary Activities
No ancillary activities