Jawad Fayaz


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Personal profile

Academic Biography

I am a Senior Research Lecturer in the School of Computing, Engineering, and Digital Technologies (SCEDT) at Teesside University (TU), UK, and an Honorary Fellow in the Department of Civil, Environmental, and Geomatic Engineering (CEGE) at University College London (UCL), UK. My research is based on interdisciplinary goals of improving community resiliency and sustainability, especially against extreme events (such as earthquakes, pipe-leakages, climate change, etc.), through a lens of data science and artificial intelligence. My expertise includes advanced statistical analysis, reliability engineering, surrogate modeling, digital twining, data-driven health monitoring, Bayesian analysis, time-series analysis, machine learning, deep learning, and explainable artificial intelligence. 

Education/Academic qualification

PhD, Statistical Frameworks for Improved Seismic Demand Analysis of Ordinary Bridge Structures, University of California at Irvine

Award Date: 14 Jun 2021

External positions

Invited Lecturer, Universidad de los Andes Chile

Mar 2023Apr 2023

Honorary Fellow, University College London

1 Apr 2022 → …

Invited Lecturer, Universidad San Francisco de Quito

1 Oct 202120 Dec 2021

Research Fellow, University College London

5 Mar 202130 Jan 2022


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