معرفی
Stefan Klus is an Associate Professor at the School of Mathematical & Computer Sciences, Department of Mathematics, Heriot-Watt University. He holds a concurrent position as a Fellow at the Free University of Berlin (2022–2026). His research focuses on data-driven model reduction, transfer operator approximation, and applications in dynamical systems, molecular dynamics, and fluid mechanics. Key interests include spectral graph theory, tensor decompositions, and high-performance computing. Klus is actively involved in advancing machine learning methodologies for analyzing complex systems and networks. His work contributes to UN Sustainable Development Goals through interdisciplinary applications in ecology and climate science. He accepts PhD students and maintains collaborations across multiple institutions, with a strong emphasis on bridging theoretical mathematics and real-world computational challenges.
External Positions:
- Fellow, Free University of Berlin (1 July 2022 – 30 June 2026)
Research Interests:
- Data-driven modeling and transfer operators
- Kernel-based learning and statistical theory
- Quantum mechanics and molecular dynamics simulations
- Spectral graph theory and network dynamics
- Low-rank tensor decompositions and real-time computing
Recent Research Trends: Klus’s 2023–2025 articles emphasize spatiotemporal network analysis, Koopman operator applications, and optimization methods for graph problems. His work bridges abstract operator theory with practical challenges in ecology, climate modeling, and agent-based systems.
