Academic Level: Assistant Professor
Scientific area:
Download : [Curriculum Vitae (EN)]
| Personal Site | https://www.phys.uth.gr/fsofos |
| fsofos [at] uth.gr | |
| Phone Num. (Work) | (+30)2231060139 |
| Office | |
| Hours of Collaboration with Students |
- 2022 Best paper award: F. Sofos, C. Stavrogiannis, K.K. Exarhou-Kouveli, D. Akaboua, G. Charilas, T.E. Karakasidis, Current Trends in Fluid Research in the era of Artificial Intelligence: A Review, Fluids 7 (2022) 116.
- D. Angelis, F. Sofos, T.E. Karakasidis, Reassessing the transport properties of fluids: A symbolic regression approach, Physical Review E 109, 015105 (2024).
- F. Sofos, D. Drikakis, I.W. Kokkinakis, Deep learning architecture for sparse and noisy turbulent flow data, Physics of Fluids 36 (3), 035155 (2024).
- F. Sofos, E. Rouka, V. Triantafyllia, E. Andreakos, K.I. Gourgoulianis, E. Karakasidis, T. Karakasidis, Development and validation of a symbolic regression-based machine learning method to predict COVID-19 in-hospital mortality among vaccinated patients. Health and Technology (2024). https://doi.org/10.1007/s12553-024-00886-z
- C. Stavrogiannis, F. Sofos, M. Sagri, D. Vavougios, T.E. Karakasidis, Twofold Machine-Learning and Molecular Dynamics: A Computational Framework, Computers 13(1):2 (2024).
- D. Angelis, F. Sofos, T.E. Karakasidis, Artificial Intelligence in Physical Sciences: Symbolic Regression Trends and Perspectives. Archives of Computational Methods in Engineering 30, 3845–3865 (2023).
