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. His research aims at advancing machine learning and deep learning methodologies to address interdisciplinary challenges in building community resilience and sustainability. His research focuses on developing statistical and machine learning solutions —particularly in spatiotemporal predictive modelling, interpretable and physics-informed AI modelling, early warning systems, probabilistic hazard analysis, and surrogate modelling— to support decision-making across complex systems in the natural environment, natural hazards, and critical infrastructure. Dr. Fayaz's expertise includes artificial neural networks, advanced statistical analysis, time-series analysis, feature engineering, risk and reliability analysis, Bayesian modelling, and explainable AI (XAI).

Currently, Dr. Fayaz is an Academic Lead for the Environmental Intelligence (EI) network 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 is engages in various activities that reflect his commitment to both physical and intellectual growth. He actively practices martial arts, including Jiu-Jitsu and Muay Thai, and incorporates weight training and long-distance running into his fitness routine. A nature enthusiast, he 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