He is a researcher in Mathematical Physics at the Basque Center for Applied Mathematics (BCAM) in the Statistical Physics group, where he works on the national project PDC2022-133115-100 developing operational tools for forest fire simulation. He holds a PhD in Theoretical Physics (2023, Summa Cum Laude) from the Université des Sciences et de la Technologie d’Oran Mohamed Boudiaf (USTO-MB). His doctoral research focused on the geometric and stochastic modeling of forest fire propagation across multiple spatial scales by applying concepts brought from statistical physics, network theory, and applied mathematics. By combining analytical modeling, numerical simulations, and laboratory experiments, he investigated interface dynamics, anomalous diffusion/relaxation, and combustion processes in heterogeneous environments. His work includes the development of hybrid cellular automata and Small-World Network models for simulating fire spread, as well as experimental studies on turbulent flaming combustion under various conditions.

He has collaborated with several international research centers -including the Forest Fire Research Center (ADAI, University of Coimbra), the IUSTI laboratory (CNRS–Aix Marseille Université), Leipzig University, and CIMA Foundation- and contributed to European projects such as FIRESTORM, McFire, Imfire, SmokeStorm, and SafeFire.

He also holds a Master’s degree in Theoretical Physics, a training spanning from quantum field theory to general relativity, with a thesis focused on gravitational waves interferometry.

In addition to his research, he has taught undergraduate courses in Electricity and Magnetism, Waves and Vibrations, and Informatics at USTO-MB for several years.

He is now joining the TIDOP group to broaden his research portfolio to include radar interferometry and its associated signal processing techniques, with a focus on phase unwrapping and the analysis of satellite-derived data for terrain deformation and fire impact.

Research interests:

• Mathematical Physics
  Broad interest in applying mathematical structures and analytical methods to study complex physical systems, particularly those involving out-of-equilibrium dynamics and multi-scale behavior.
• Mathematical and Numerical Modeling of Wildfires
  Development of GIS-based, semi-physical, and stochastic models—such as cellular automata and small-world networks—to simulate wildfire spread in heterogeneous landscapes.
• Experimental and Numerical Study of Combustion Processes
  Laboratory-scale investigation of turbulent flaming combustion, diffusion, and relaxation phenomena under controlled conditions.
  Application of Computational Fluid Dynamics (CFD) models to support experimental insights and analyze fire–flow interactions.
• Statistical Physics and Phase Transitions
  Exploration of critical phenomena, scaling laws, and emergent behavior in spreading processes, interface dynamics, and endothermic/exothermic transitions.

• Remote Sensing and Radar Interferometry
  Integration of satellite data, radar interferometry (InSAR), and geospatial analysis to monitor terrain deformation and assess post-fire environmental impact.