Alumni Staff
Chaofan Li
Karlsruhe Institute of Technology (KIT)
Institute of Telematics / TECO
Vincenz-Prießnitz-Straße 1
76131 Karlsruhe, Germany
Building 07.07
Projects
Nuberisim2AI
The SDI-S Microproject "Nuberisim2AI" leverages artificial intelligence to improve on flow-induced noise prediction by shortening time-consuming fluid simulations. Traditionally, analyzing noise sources requires up to 14 days on high-performance computers. This project aims to use AI to extend existing flow simulation time series by up to 50%, thereby reducing the overall analysis time by up to 75%. By enabling faster and more efficient simulations, it empowers engineers to optimize device designs for noise reduction while maintaining performance—supporting applications in aerospace, automotive, and industrial systems.
HEPTA – Topic area 3: Smart Cities
HEPTA (Helmholtz European Partnership for Technological Advancement) promotes cooperation between Aristotle University of Thessaloniki (AUTh) and the Karlsruhe Institute of Technology (KIT) in the development of sustainable technologies in the fields of air quality, atmospheric physics, biomass and smart cities.
Publications
Ioannidis, G.; Bouloti, N.; Tremper, P.; Li, C.; Boikos, C.; Rapkos, N.; Riedel, T.; Dal Maso, M.; Ntziachristos, L.
2026. Atmospheric Pollution Research, 17 (8), Art.Nr: 103096. doi:10.1016/j.apr.2026.103096
Ioannidis, G.; Tremper, P.; Li, C.; Riedel, T.; Rapkos, N.; Boikos, C.; Ntziachristos, L.
2025. Atmosphere, 16 (3), 326. doi:10.3390/atmos16030326
Li, C.; Riedel, T.; Beigl, M.
2025. Advances in Knowledge Discovery and Data Mining. Part II. Ed.: X. Wu, 366 – 377, Springer Nature Singapore. doi:10.1007/978-981-96-8173-0_29
Li, C.; Riedel, T.; Beigl, M.
2025. Proceedings of the 2025 SIAM International Conference on Data Mining (SDM), 356 – 365, Society for Industrial and Applied Mathematics Publications (SIAM). doi:10.1137/1.9781611978520.38
Ioannidis, G.; Tremper, P.; Li, C.; Riedel, T.; Rapkos, N.; Boikos, C.; Ntziachristos, L.
2024. Atmosphere, 15 (9), 1056. doi:10.3390/atmos15091056
Studt, A.; Li, C.; Zhao, H.; Beigl, M.
2024. (P. Tremper, Ed.), Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000170114
Ioannidis, G.; Li, C.; Tremper, P.; Riedel, T.; Ntziachristos, L.
2024. Atmosphere, 15 (1), Art.-Nr.: 113. doi:10.3390/atmos15010113
Huang, Y.; Li, C.; Lu, H.; Riedel, T.; Beigl, M.
2023. Explainable Artificial Intelligence – First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part III, Ed.: L. Longo, 153 – 164, Springer Nature Switzerland. doi:10.1007/978-3-031-44070-0_8
Li, C.; Budde, M.; Tremper, P.; Schäfer, K.; Riesterer, J.; Redelstein, J.; Petersen, E.; Khedr, M.; Liu, X.; Köpke, M.; Hussain, S.; Ernst, F.; Kowalski, M.; Pesch, M.; Werhahn, J.; Hank, M.; Philipp, A.; Cyrys, J.; Schnelle-Kreis, J.; Grimm, H.; Ziegler, V.; Peters, A.; Emeis, S.; Riedel, T.; Beigl, M.
2022. ProScience, 8. doi:10.14644/dust2021.001
Li, C.; Riedel, T.; Beigl, M.
2022. Information Integration and Web Intelligence – 24th International Conference, iiWAS 2022, Virtual Event, November 28–30, 2022, Proceedings. Ed.: E. Pardede, 252–266, Springer Nature Switzerland. doi:10.1007/978-3-031-21047-1_22