JAWAD FAYAZ

Dr. Fayaz is an Assistant Professor (Lecturer) in Computer Science (Data Science and Artificial Intelligence) at the University of Exeter, UK, and an Honorary Lecturer at University College London (UCL), UK.

Dr. Fayaz’s research focuses on the development of statistical and machine learning methodologies for risk mitigation, with the overarching goal of strengthening community resilience and sustainability. His work addresses spatiotemporal predictive modelling, interpretable and physics-informed artificial intelligence, early warning systems, probabilistic hazard and risk analysis, and surrogate modelling to support decision-making in complex systems related to the natural environment, natural hazards, and critical infrastructure. His technical expertise spans artificial neural networks, time-series modelling, feature engineering, graph-based learning, Bayesian inference, risk and reliability analysis, and explainable artificial intelligence.

Currently, Dr. Fayaz is an Academic Lead for the Center of Environmental Intelligence at the University of Exeter, UK. He is also on the editorial boards of three journals: i) International Journal of Disaster Risk Reduction (IJDRR), ii) Frontiers in Earth Science, and iii) Smart and Sustainable Built Environment

Outside of his academic pursuits, Dr. Fayaz actively practices martial arts, including Jiu-Jitsu and Muay Thai, and incorporates weight training and long-distance running into his fitness routine. He further enjoys hiking and traveling to explore new landscapes. Dr. Fayaz is also an avid listener of informative podcasts, such as The Peter Attia Drive and Huberman Lab, and finds inspiration in reading thought-provoking books like Man’s Search for Meaning by Viktor Frankl and Beyond Good and Evil by Friedrich Nietzsche.

Educational Background