Dr. Jawad Fayaz

Senior Lecturer in Computer Science — Data Science & AI

Associate Director, Centre for Environmental Intelligence · University of Exeter, UK

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About

Dr. Fayaz is a Senior Lecturer in Computer Science (Data Science and Artificial Intelligence) at the University of Exeter, UK. His research lies at the intersection of machine learning, probabilistic modelling, and decision science, with a focus on spatiotemporal representation learning and inference in complex systems. He develops computational frameworks for risk quantification, early warning, and sequential decision-making with particular emphasis on extreme events—high-impact low-probability and high-probability long-horizon risks—in natural hazards, environmental systems, and critical infrastructure.

His methodological expertise includes deep learning for structured data (graphs and time series), physics-informed machine learning, reinforcement learning, Bayesian inference, and explainable AI, with an emphasis on scalable and interpretable models for safety-critical systems.

Currently, he is the Associate Director of the Centre for Environmental Intelligence and Programme Lead of the Google-DeepMind Research Ready Programme at the University of Exeter, UK. He also serves as an Executive Board member of the UK Collaboratorium for Research on Infrastructure and Cities (UKCRIC). In addition, he is a member of the editorial boards of three journals: i) International Journal of Disaster Risk Reduction, ii) Frontiers in Earth Science, and iii) Smart and Sustainable Built Environment.

Spatiotemporal Learning Physics-Informed ML Reinforcement Learning Bayesian Inference Explainable AI Graph-Based Learning Time-Series Analysis Feature Engineering Anomaly Detection Dimensionality Reduction Early Warning Systems Probabilistic Hazard Analysis Health Monitoring Rapid Response Surrogate Modelling