Amritam Das

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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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1 Similar Profiles

1 Finished

Impuls II: Identification and control of thermal effects in printing systems
Weiland, S., Das, A., Nawijn, H. & van der Hagen, D.
1/09/16 → 31/08/20
Project: Research direct

9 Conference contribution
2 Abstract
2 Article
2 Conference article
More

Control for Societal-scale Challenges: Road Map 2030
Alleyne, A., Allgöwer, F., Ames, A. D., Amin, S., Anderson, J., Annaswamy, A. M. (ed.), Antsaklis, P. J., Bagheri, N., Balakrishnan, H., Bamieh, B., Baras, J., Bauer, M., Bayen, A., Bogdan, P., Brunton, S. L., Bullo, F., Burdet, E., Burdick, J., Burlion, L., Canudas de Wit, C., & 100 othersCao, M., Cassandras, C. G., Chakrabortty, A., Como, G., Csete, M., Dabbene, F., Dahleh, M., Das, A., Dassau, E., De Persis, C., di Bernardo, M., Di Cairano, S., Dimarogonas, D., Dörfler, F., Doyle, J. C., Doyle III, F. J., Dragan, A., Egerstedt, M., Eker, J., Fay, S., Filev, D., Fontan, A., Franco, E., Fujita, M., Garcia-Sanz, M., Gayme, D., Heemels, W. P. M. H., Hespanha, J. P., Hirche, S., Hosoi, A., How, J. P., Hug, G., Ilić, M., Ishii, H., Jadbabaie, A., Jafarian, M., Qing-Shan Jia, S., Johansen, T., Johansson, K. H. (ed.), Jones, D., Khammash, M., Khargonekar, P., Kochenderfer, M. J., Krause, A., Kuh, A., Kulić, D., Lamnabhi-Lagarrigue, F., Leonard, N. E., Leve, F., Li, N., Low, S., Lygeros, J., Mareels, I., Martinez, S., Matni, N., Menara, T., Mombaur, K., Moore, K., Murray, R., Namerikawa, T., Nedich, A., Neema, S., Netto, M., O’Leary, T., O’Malley, M. K., Pao, L. Y., Papachristodoulou, A., Pappas, G. J. (ed.), Paré, P. E., Parisini, T., Pasqualetti, F., Pavone, M., Rajhans, A., Ranade, G., Rantzer, A., Ratliff, L., Rossiter, J. A., Sadigh, D., Samad, T., Sandberg, H., Sarma, S., Schenato, L., Scherpen, J., Schoellig, A., Sepulchre, R., Shamma, J., Shorten, R., Sinopoli, B., Sreenath, K., Stoustrup, J., Sun, J., Tabuada, P., Tegling, E., Tilbury, D., Tomlin, C. J., Tumova, J., Wise, K., Work, D., Zafar, J. & Zeilinger, M., May 2023, IEEE Control Systems Society. 284 p.
Research output: Book/Report › Report › Academic

Open Access
Soft Sensing-Based In Situ Control of Thermofluidic Processes in DoD Inkjet Printing
Das, A., Princen, M., Roudbari, M. S., Khalate, A. & Weiland, S., 1 May 2022, In: IEEE Transactions on Control Systems Technology. 30, 3, p. 956-971 16 p.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
File
11 Downloads (Pure)
A closed-form solution to estimate space-dependent parameters in heat and mass transport
van Kampen, R. J. R., Das, A., Weiland, S. & van Berkel, M., 19 Jan 2021. 1 p.
Research output: Contribution to conference › Poster

Open Access
File
63 Downloads (Pure)
A Closed-Form Solution to Estimate Spatially Varying Parameters in Heat and Mass Transport
van Kampen, R. J. R., Das, A., Weiland, S. & van Berkel, M., 28 Jul 2021, 2021 American Control Conference, ACC 2021. Institute of Electrical and Electronics Engineers, p. 286-291 6 p. 9482757
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
A Closed-Form Solution to Estimate Spatially Varying Parameters in Heat and Mass Transport
van Kampen, R. J. R., Das, A., Weiland, S. & van Berkel, M., Nov 2021, In: IEEE Control Systems Letters. 5, 5, p. 1681-1686 6 p., 9284622.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
File
3 Citations (Scopus)

30 Downloads (Pure)

PIETOOLS 2020a
Peet, M. M. (Creator), Shivakumar, S. (Creator) & Das, A. (Contributor), Code Ocean, 1 Jul 2021
DOI: 10.24433/co.9425082.v1
Dataset

Robust control
1/09/15 → …
Course
Signals and systems
1/09/23 → …
Course

System Level Thinking in High Performance Inkjet Printing
Amritam Das & Siep Weiland
26/04/19
1 Media contribution
Press/Media: Research

Amritam Das

Personal profile

Research profile

Quote

Academic background

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Impuls II: Identification and control of thermal effects in printing systems

Control for Societal-scale Challenges: Road Map 2030

Soft Sensing-Based In Situ Control of Thermofluidic Processes in DoD Inkjet Printing

A closed-form solution to estimate space-dependent parameters in heat and mass transport

A Closed-Form Solution to Estimate Spatially Varying Parameters in Heat and Mass Transport

A Closed-Form Solution to Estimate Spatially Varying Parameters in Heat and Mass Transport

PIETOOLS 2020a

Robust control

Signals and systems

System Level Thinking in High Performance Inkjet Printing

Amritam Das

Personal profile

Research profile

Quote

Academic background

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Projects

Research output

Datasets

Courses

Press/Media