Spyros Rigas

PhD Candidate, Physics-Informed Deep Learning

About

I am a PhD candidate in the Department of Digital Industry Technologies at the National and Kapodistrian University of Athens . My research interests span the broader field of physics-informed deep learning, with a particular focus on the theory and application of Kolmogorov–Arnold networks. In parallel, I work in the industry as a ML scientist, contributing to applied AI solutions in real-world settings.

Education

2024 – Present

PhD Candidate, Physics-Informed Deep Learning for Scientific Computing

National and Kapodistrian University of Athens, Department of Digital Industry Technologies

2021 – 2023

MSc, Data Science & Machine Learning

National Technical University of Athens, School of Electrical and Computer Engineering

Grade: 9.89 (Excellent - Highest Grade)

2019 – 2021

MSc, Condensed Matter and Materials Physics

National and Kapodistrian University of Athens, Department of Physics

Grade: 10.00 (Excellent - Highest Grade)

2014 – 2018

BSc, Physics

National and Kapodistrian University of Athens, Department of Physics

Grade: 8.98 (Excellent)

Industry

2022 – Present

Data Engineering & Machine Learning

SeaQuest Marine Technologies

2021 – 2022

Theoretical Physics Post-MSc Research

Department of Physics, National & Kapodistrian University of Athens

Research

2025
  • Spyros Rigas, Dhruv Verma, Georgios Alexandridis and Yixuan Wang, "An Empirical Investigation of Initialization Strategies for Kolmogorov–Arnold Networks," ICML 2025 Workshop on Methods and Opportunities at Small Scale (2025). https://openreview.net/forum?id=eC285SNCiW
  • Spyros Rigas, Michalis Papachristou, Ioannis Sotiropoulos and Georgios Alexandridis, "Explainable Fault Classification and Severity Diagnosis in Rotating Machinery Using Kolmogorov–Arnold Networks," Entropy 27, no. 4 (2025): 403. https://doi.org/10.3390/e27040403
  • Spyros Rigas and Michalis Papachristou, "jaxKAN: A unified JAX framework for Kolmogorov-Arnold Networks," Journal of Open Source Software 10, no. 108 (2025): 7830. https://doi.org/10.21105/joss.07830
2024
  • Spyros Rigas, Michalis Papachristou, Theofilos Papadopoulos, Fotios Anagnostopoulos and Georgios Alexandridis, "Adaptive Training of Grid-Dependent Physics-Informed Kolmogorov-Arnold Networks," IEEE Access, no. 12 (2024): 176982. https://doi.org/10.1109/ACCESS.2024.3504962
  • Spyros Rigas, Paraskevi Tzouveli and Stefanos Kollias, "An End-to-End Deep Learning Framework for Fault Detection in Marine Machinery," Sensors 24, no. 16 (2024): 5310. https://doi.org/10.3390/s24165310

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