JAWAD FAYAZ

I am a Senior Research Lecturer in the School of Computing, Engineering, and Digital Technologies (SCEDT) at Teesside University (TU), UK, and an Honorary Lecturer 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 resilience 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.

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