Projects per year
Personal profile
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.
Quote
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.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Projects
- 1 Finished
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Impuls II: Identification and control of thermal effects in printing systems
Weiland, S. (Project Manager), Das, A. (Project member), Nawijn, H. (Project communication officer) & van der Hagen, D. (Project communication officer)
1/09/16 → 31/08/20
Project: Research direct
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Climate Change Mitigation, Adaptation, and Resilience: Challenges and Opportunities for the Control Systems Community
Khargonekar, P. P., Samad, T., Amin, S., Chakrabortty, A., Dabbene, F., Das, A., Fujita, M., Garcia-Sanz, M., Gayme, D. F., Ilic, M., Mareels, I., Moore, K. L., Pao, L. Y., Rajhans, A., Stoustrup, J., Zafar, J. & Bauer, M., 1 Jun 2024, In: IEEE Control Systems. 44, 3, p. 33-51 19 p., 10555206.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile9 Citations (Scopus)53 Downloads (Pure) -
Effect of Weight Distribution and Active Safety Systems on Electric Vehicle Performance
Gori, V., Hendrix, W., Das, A. & Sun, Z. (Corresponding author), Jun 2024, In: Sensors. 24, 11, 19 p., 3557.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile4 Downloads (Pure) -
Electrical Fault Localisation Over a Distributed Parameter Transmission Line
Selvaratnam, D., Das, A. & Sandberg, H., 19 Jan 2024, 2023 62nd IEEE Conference on Decision and Control, CDC 2023. Institute of Electrical and Electronics Engineers, p. 7088-7093 6 p. 10383452Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile10 Downloads (Pure) -
Extension of the Partial Integral Equation Representation to GPDE Input-Output Systems
Shivakumar, S., Das, A., Weiland, S. & Peet, M., 25 Nov 2024, (E-pub ahead of print) In: IEEE Transactions on Automatic Control. XX, X, 10767284.Research output: Contribution to journal › Article › Academic › peer-review
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Learning flow functions of spiking systems
Aguiar, M., Das, A. & Johansson, K. H., 2024, Proceedings of the 6th Annual Learning for Dynamics & Control Conference. Abate, A., Cannon, M. & Johansson, K. H. (eds.). PMLR, p. 591-602 12 p. (Proceedings of Machine Learning Research (PMLR); vol. 242).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile2 Downloads (Pure)
Datasets
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POD and low-dimensional LPV approximations for nonlinear controller design exemplified for incompressible Navier-Stokes equations
Heiland, J. (Creator) & Das, A. (Creator), Zenodo, 5 Nov 2023
DOI: 10.5281/zenodo.10073483, https://zenodo.org/records/10073483
Dataset
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PIETOOLS 2020a
Peet, M. M. (Creator), Shivakumar, S. (Creator) & Das, A. (Contributor), Code Ocean, 1 Jul 2021
Dataset
Courses
Press/Media
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System Level Thinking in High Performance Inkjet Printing
26/04/19
1 Media contribution
Press/Media: Research