JAWAD FAYAZ

Dr. Fayaz is an Assistant Professor (Lecturer) in Data Science and Artificial Intelligence (AI) at the University of Exeter, UK, and an Honorary Lecturer at University College London (UCL), UK. His research focuses on advancing machine learning and deep learning methodologies to address interdisciplinary challenges in community resilience and sustainability. He develops data-driven and process-driven solutions for various complex problems in engineering and environmental intelligence. His work spans decision support for complex systems, early warning systems, probabilistic hazard analysis, infrastructure health monitoring, water distribution management, and climate change adaptation. Dr. Fayaz's expertise includes artificial neural networks, time-series analysis, feature engineering, risk and reliability analysis, surrogate modeling, Bayesian modeling, 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