Dr. Arjun Kaithakkal
- Postdoc
- room: 603
- phone: +49 721 608-45880
- arjun kaithakkal ∂does-not-exist.kit edu
Institut für Strömungsmechanik
Karlsruher Institut für Technologie
Kaiserstraße 10, Geb. 10.23
76131 Karlsruhe
Tel.: +49 721 608 42368
Fax: +49 721 608 45147
Project
Machine learning for the design of chemical engineering unit operations (https://chemengml.org/research-projects)
Research Interest
- Flow control
- Heat and mass transfer
- Flow through porous media
- Adjoint optimization
- Immersed boundary method
Journal Publications
2024
Machine learning for rapid discovery of laminar flow channel wall modifications that enhance heat transfer
Koide, Y.; Kaithakkal, A. J.; Schniewind, M.; Ladewig, B. P.; Stroh, A.; Friederich, P.
2024. APL Machine Learning, 2 (1), 016108. doi:10.1063/5.0187783
Koide, Y.; Kaithakkal, A. J.; Schniewind, M.; Ladewig, B. P.; Stroh, A.; Friederich, P.
2024. APL Machine Learning, 2 (1), 016108. doi:10.1063/5.0187783
Conference Contributions
2024
Active learning based surrogate model for drag and heat transfer prediction in internal flows with eddy-promoters
Kaithakkal, A. J.; Koide, Y.; Müller, D.; Friederich, P.; Stroh, A.
2024, September 19. 1st European Fluid Dynamics Conference (EFDC1 2024), Aachen, Germany, September 16–20, 2024
Kaithakkal, A. J.; Koide, Y.; Müller, D.; Friederich, P.; Stroh, A.
2024, September 19. 1st European Fluid Dynamics Conference (EFDC1 2024), Aachen, Germany, September 16–20, 2024
Understanding CNN-Based Shape Optimization for Thermo-Hydraulic Efficiency Using Explainable Deep Learning
Kaithakkal, A. J.; Koide, Y.; Friederich, P.; Stroh, A.
2024, September 9. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024), Vilnius, Lithuania, September 9–13, 2024
Kaithakkal, A. J.; Koide, Y.; Friederich, P.; Stroh, A.
2024, September 9. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024), Vilnius, Lithuania, September 9–13, 2024
2023
Heat transfer enhancement in laminar channel flow by machine learning guided shape optimization of wall geometry
Kaithakkal, A. J.; Koide, Y.; Schniewind, M.; Friederich, P.; Stroh, A.
2023. 17th International Heat Transfer Conference (IHTC 2023), Cape Town, South Africa, August 14–18, 2023
Kaithakkal, A. J.; Koide, Y.; Schniewind, M.; Friederich, P.; Stroh, A.
2023. 17th International Heat Transfer Conference (IHTC 2023), Cape Town, South Africa, August 14–18, 2023
Supervised thesis projects
- Master project by Marion Cormier (2016): "Analyse turbulent flows via Empirical Mode Decomposition"
- Bachelor project byRachel See (2016) : "Measure skin-friction accurately in a new wind-tunnel facility"
- Master project by Steffen Straub (2015): "Direct numerical simulation of controlled turbulent duct flows"