Projects per year
Personal profile
Quote
"Computational Science & Engineering is a fruitful breeding ground, allowing for very many cross-fertilizations!"
Research profile
Computational Science & Engineering (CSE) is of vital importance to society. It enables computer simulation of processes, phenomena and systems that cannot be studied in real experiments. A strong pull on CSE is the quest for ever more realism, increasing the importance of multi-scaledness and multi-disciplinarity. CSE is becoming partly model-driven, partly data-driven; a fruitful marriage between Computational Science and Data Science.
Scientific Computing (Numerical Mathematics) is at the heart of CSE. Scientific Computing finds its genericity, research foci and relevance in the numerical methods commonly used across the various scientific and engineering disciplines.
Academic background
Barry Koren received his MSc degree in Aerospace Engineering and his PhD degree in Numerical Mathematics, both from TU Delft. Prior to his appointment at TU/e, he was full professor Numerical Analysis at Leiden University, full professor Computational Fluid Dynamics at TU Delft, and leader of the research group Modelling, Analysis and Simulation and member of the management team of the Centrum Wiskunde & Informatica (CWI) in Amsterdam.
Barry Koren served as editor of the Journal of Computational Physics and as a member of several national and international scientific boards, committees and research programs. He was president of the Royal Dutch Mathematical Society (KWG), chair of the Dutch-Flemish Scientific Computing Society and scientific adviser at CWI. He still is adviser at the Netherlands Aerospace Centre (NLR) in Amsterdam. At the TU/e Department of Mathematics and Computer Science, he was vice-dean research for four years and acting dean twice. He has (co-)authored and (co-)edited six books, five special journal issues, and about 200 scientific papers. So far, Barry has supervised 28 PhD researchers, 65 MSc students and 15 BSc students.
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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SDG 7 Affordable and Clean Energy
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Collaborations and top research areas from the last five years
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Knowledge & Physics Informed AI
Koren, B. (Project Manager) & Spelthan, R. (Project member)
1/01/22 → 31/12/28
Project: Third tier
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UNRAVEL: Unraveling Neural Networks with Structure-Preserving Computing
Koren, B. (Project member), Portegies, J. W. (Project member), Toschi, F. (Project member), Portegies Zwart, S. F. (Project member), Corbetta, A. (Project member), Horn, P. (Project member), Ortali, G. (Project member), Saz Ulibarrena, V. (Project member), Schilders, W. H. A. (Project Manager), Shalova, A. (Project member), Ravelonanosy, M. (Project member) & Peletier, M. A. (Project member)
4/09/20 → 30/06/26
Project: Second tier
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A generalized framework of neural networks for Hamiltonian systems
Horn, P. (Corresponding author), Saz Ulibarrena, V., Koren, B. & Portegies Zwart, S., 15 Jan 2025, In: Journal of Computational Physics. 521, 18 p., 113536.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile5 Link opens in a new tab Citations (SciVal)95 Downloads (Pure) -
A Journey in Scientific Computing
Koren, B., 3 Apr 2025, Eindhoven: Technische Universiteit Eindhoven. 32 p.Research output: Book/Report › Inaugural/farewell speech › Popular
Open AccessFile201 Downloads (Pure) -
Improved Generalization of Symplectic Neural Networks for Hamiltonian Systems
Horn, P. (Corresponding author) & Koren, B., 25 Apr 2025, Numerical Mathematics and Advanced Applications ENUMATH 2023, Volume 1: European Conference, September 4-8, Lisbon, Portugal. Sequeira, A., Silvestre, A., Valtchev, S. S. & Janela, J. (eds.). Cham: Springer, p. 465-472 8 p. (Lecture Notes in Computational Science and Engineering (LNCSE); vol. 153).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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A hybrid approach for solving the gravitational N-body problem with Artificial Neural Networks
Saz Ulibarrena, V. (Corresponding author), Horn, P., Portegies Zwart, S., Sellentin, E., Koren, B. & Cai, M. X., 1 Jan 2024, In: Journal of Computational Physics. 496, 17 p., 112596.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile5 Link opens in a new tab Citations (Scopus)126 Downloads (Pure) -
On Stochastic Roundoff Errors in Gradient Descent with Low-Precision Computation
Xia, L. (Corresponding author), Massei, S., Hochstenbach, M. E. & Koren, B., Feb 2024, In: Journal of Optimization Theory and Applications. 200, 2, p. 634-668 35 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile2 Link opens in a new tab Citations (Scopus)368 Downloads (Pure)
Courses
Press/Media
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Three honorary doctorates in anniversary year
11/03/21
1 item of Media coverage
Press/Media: Expert Comment