Learning from the past to better predict the future
Engineering Seismology | Near-Surface Geophysics | Data Science
Engineering Seismology | Near-Surface Geophysics | Data Science
Welcome to my website. I am an Assistant Professor of Civil Engineering at Northumbria University (NU), UK, specialising in geotechnical earthquake engineering and engineering seismology. I received my PhD in Civil Engineering from Queensland University of Technology, Australia, and subsequently held research positions at the GFZ Helmholtz Centre for Geosciences (Germany), Kyoto University (Japan), and the University of Canterbury (New Zealand) before joining Northumbria.
My research lies at the intersection of geotechnical engineering, earthquake engineering, and engineering seismology, with a focus on understanding and predicting earthquake ground shaking and site effects through the integration of seismological observations, near-surface geophysics, physics-based modelling, and data-driven approaches. The overarching goal is to improve hazard and risk assessment for natural perils, particularly earthquakes.
My research interests include:
Site-effect characterisation using observations, statistical modelling, physics-based simulations, and advanced data-driven methods;
Inversion and characterisation of near-surface and subsurface properties using microtremor and seismic observations;
Uncertainty and variability quantification;
Site classification;
Seismic signal processing; and
FAIR database development.
I am particularly interested in harnessing emerging approaches, including machine learning and deep learning (ML/DL), for scientific discovery and problem-solving in engineering seismology.
Please feel free to contact me if you are interested in research or knowledge-exchange collaborations, or in pursuing a research degree under my supervision.
Assistant Professor in Civil Engineering
School of Engineering, Physics and Mathematics
Northumbria University
Newcastle upon Tyne
United Kingdom
Latest News & Highlights
2026/04: Presented OpenAmp at the SSA Annual Meeting as an invited talk.
2026/03: International Exchanges 2025 Cost Share awarded by the Royal Society.
2026/03: 'OpenAmp: An Open-Source Site Amplification Database to Unlock the Potential of Machine Learning' published in Earthquake Spectra.
2024/11: COSMOS Site Characterization and Response Modelling using HVSR and Other Single-station Microtremor Methods Workshop: "A Data-Driven Approach for Linear Site Response Characterization Using Single-Station Seismograms"
2024/09: GFZ Workshop "Toward Data Lakes for Recorded and Simulated Earthquake Ground Motions": Recent Use of Machine Learning Methods in Engineering Seismology
2024/05: The 8th International Conference on Earthquake Geotechnical Engineering (8ICEGE): Global Variations in Fourier Site Response from Instrumental Observations: Towards a Transferable Predictive Understanding
2024/02: Pakistan National Centre of Excellence in Geology: Effects of the Near-Surface Geology on Earthquake-Induced Ground Shaking: Learning from the Past.
2023/08: 2023 New Zealand Centre Earthquake Resilience (QuakeCoRE ) Annual Meeting: Source Parameters from Generalized Inversion and Their Spatial Pattern
2023/08: NZ NSHM Meeting: New Zealand: Spectral Decomposition of Ground Motions in New Zealand using the Generalized Inversion Technique - Part I: Site Response
2023/04: 2023 SSA Annual Meeting, San Juan, Puerto Rico: Spectral Decomposition of Ground Motions in New Zealand using the Generalized Inversion Technique
2022/08: The 61st Sogo Bosai seminar at Kyoto University: Modeling of the Effects of Surface Geology on Earthquake-Induced Ground Shaking: Play the Cards We Are Dealt.
2022/04: 2022 SSA Annual Meeting, Bellevue, US: How Well Can We Predict Earthquake Site Response? Machine Learning vs. Physics-Based Modeling
2021/09: The 17th World Conference on Earthquake Engineering (17WCEE): Improving Blind Predictions from Ground Response Analyses using KiK-net Surface Downhole Pairs