JAWAD FAYAZ

I am a Lecturer (Assistant Professor) in the School of Computing, Engineering, and Digital Technologies (SCEDT) at Teesside University (TU), UK and an Honorary Researcher in the Department of Civil, Environmental, and Geomatic Engineering (CEGE) at University College London (UCL), UK. My research aims to improve the infrastructural system and community resiliency against various extreme events (such as earthquakes, water-pipe leakages, etc.) using data-driven, statistical, and machine learning based approaches. My expertise include advanced statistical analysis, reliability engineering, Bayesian analysis, time-series analysis, machine learning, deep learning, and explainable artificial intelligence.

Besides research and teaching, I like practicing martial arts (Muay Thai and Jiu Jitsu), long-distance running, weight training, hiking, gaming, listening to informative podcasts (such as Joe Rogan Experience, Huberman Lab etc.) and reading inspiring books (such as Man's Search for Meaning by Victor Frankl, Beyond Good and Evil by Friedrich Nietzsche, etc.)

Contact Info:
Room IC1.50
Stephenson Building
School of Computing, Engineering, and Digital Technologies
Teesside University, UK, TS1 3BX
j.fayaz@tees.ac.uk
j.fayaz@ucl.ac.uk