F.H.J. Redig

F.H.J. Redig serves as Professor in the Department of Applied Probability within the Faculty of Electrical Engineering, Mathematics and Computer Science, focusing on rigorous mathematical analysis of stochastic systems.

His research expertise spans:

• Probability Theory and stochastic modeling
• Markov Processes and duality frameworks
• Non-equilibrium Statistical Mechanics
• Particle system fluctuations
• Symmetry and equilibrium analysis
• Randomness propagation mechanisms

Recent publications (2024-2025) demonstrate consistent innovation in non-equilibrium steady states, with three 2025 papers addressing intertwining techniques in KMP models, large deviations for harmonic processes, and spatial Markov structures. His 2024 work extends to multi-species stirring processes and run-and-tumble particle dynamics, revealing universal fluctuation patterns through advanced duality methods.

Professor Redig has supervised 12 graduate students according to institutional records. While specific grant funding isn't detailed in the provided materials, his sustained high-impact publication output indicates robust research support and active laboratory direction.