Dr. Jawad Fayaz

Dr. Jawad Fayaz

Senior Lecturer in Computer Science — Data Science & AI

Academic Lead, Centre for Environmental Intelligence  ·  University of Exeter, UK

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, Dr. Fayaz is an Academic Lead for the Centre for Environmental Intelligence at the University of Exeter. He also serves on the editorial boards of the International Journal of Disaster Risk Reduction, Frontiers in Earth Science, and 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

Research Areas

Computational methods applied to risk, safety, and decision-making problems in complex physical systems.

Methods
  • Graph Neural Networks
  • Temporal Neural Networks
  • Physics-Informed Machine Learning
  • Generative Modelling
  • Tree-Based Models
  • Interpretable AI
  • Reinforcement Learning
Application Domains
  • Natural Hazards earthquakes, floods, heatwaves
  • Environmental Systems weather, agriculture, land-use
  • Infrastructural Systems water systems, wind turbines, buildings, bridges
Research overview — spatiotemporal learning and risk quantification

Education

Post
Doc

April 2021 – January 2022

Post-Doctoral Research

University College London, UK

PhD

January 2018 – June 2021

Doctor of Philosophy (PhD)

University of California, Irvine, USA

MS

September 2016 – March 2018

Master of Science (MS)

University of California, Irvine, USA

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