Overview

I am a Lecturer (Assistant Professor) in Data Science and Artificial Intelligence at the University of Exeter (UoE), UK, and an Honorary Lecturer at University College London (UCL), UK.

I completed my Ph.D. at the University of California, Irvine, USA in 2021 and then joined University College London (UCL), UK as a Postdoctoral Research Fellow.

My research is based on machine learning and deep learning areas with interdisciplinary goals of improving community resilience and sustainability through engineering and environmental intelligence. The work spans a wide array of challenges related to natural and built environments including decision support systems for earthquakes, probabilistic seismic hazard analysis, infrastructural health monitoring, traffic optimization, water distribution management, and climate change adaptation strategies. My expertise includes artificial neural networks, time-series analysis, computer vision, feature engineering, risk and reliability analysis, surrogate modelling, simulations and generative AI, Bayesian modelling, and explainable artificial intelligence.

For more information, you can visit my website: https://jfayaz.github.io/ or get in touch at j.fayaz@exeter.ac.uk

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Publications

_{Copyright Notice: Any articles made available for download are for personal use only. Any other use requires prior permission of the author and the copyright holder.}

| 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2016 |

2024

• McMillan L, Fayaz J, Varga L. (2024) Domain-informed variational neural networks and support vector machines based leakage detection framework to augment self-healing in water distribution networks, Water Res, volume 249, DOI:10.1016/j.watres.2023.120983. [PDF]
• Fayaz J, Astroza R, Angione C, Medalla M. (2024) Data-driven analysis of crustal and subduction seismic environments using interpretation of deep learning-based generalized ground motion models, Expert Systems with Applications, volume 238, DOI:10.1016/j.eswa.2023.121731.

2023

• McMillan L, Fayaz J, Varga L. (2023) Machine-Learning-Based Health Monitoring and Leakage Management of Water Distribution Systems, Proceedings of the International Conference on Evolving Cities, pages 43-50, DOI:10.55066/proc-icec.2022.37.
• Fayaz J, Galasso C. (2023) A deep neural network framework for real-time on-site estimation of acceleration response spectra of seismic ground motions, Computer-Aided Civil and Infrastructure Engineering, volume 38, no. 1, pages 87-103, DOI:10.1111/mice.12830.
• Fayaz J, Medalla M, Torres-Rodas P, Galasso C. (2023) A recurrent-neural-network-based generalized ground-motion model for the Chilean subduction seismic environment, Structural Safety, volume 100, DOI:10.1016/j.strusafe.2022.102282.
• Fayaz J, Torres-Rodas P, Medalla M, Naeim F. (2023) Assessment of ground motion amplitude scaling using interpretable Gaussian process regression: Application to steel moment frames, Earthquake Engineering and Structural Dynamics, volume 52, no. 8, pages 2339-2359, DOI:10.1002/eqe.3810.
• Fayaz J. (2023) ROSERS—A Deep Learning Framework for Earthquake Early Warning and Its Interpretation, Lecture Notes in Civil Engineering, volume 332 LNCE, pages 473-486, DOI:10.1007/978-981-99-1459-3_38.
• McMillan L, Fayaz J, Varga L. (2023) Flow forecasting for leakage burst prediction in water distribution systems using long short-term memory neural networks and Kalman filtering, Sustainable Cities and Society, volume 99, DOI:10.1016/j.scs.2023.104934.

2022

• Fayaz J, Galasso C. (2022) A generalized ground-motion model for consistent mainshock–aftershock intensity measures using successive recurrent neural networks, Bulletin of Earthquake Engineering, DOI:10.1007/s10518-022-01432-w.
• Tubaldi E, Turchetti F, Ozer E, Fayaz J, Gehl P, Galasso C. (2022) A Bayesian network-based probabilistic framework for updating aftershock risk of bridges, Earthquake Engineering and Structural Dynamics, volume 51, no. 10, pages 2496-2519, DOI:10.1002/eqe.3698.
• Otárola K, Fayaz J, Galasso C. (2022) Fragility and vulnerability analysis of deteriorating ordinary bridges using simulated ground-motion sequences, Earthquake Engineering and Structural Dynamics, volume 51, no. 13, pages 3215-3240, DOI:10.1002/eqe.3720.
• Fayaz J, Galasso C. (2022) A Generalized Ground Motion Model for consistent Mainshock-Aftershock Ground Motion Intensity Measures using Deep Neural Networks, 12th National Conference on Earthquake Engineering, NCEE 2022.
• Otárola K, Fayaz J, Galasso C. (2022) Fragility Analysis of Deteriorating Bridge Components Subjected to Simulated Ground-Motion Sequences, 12th National Conference on Earthquake Engineering, NCEE 2022.
• Fayaz J, Medalla M, Torres-Rodas P, Galasso C. (2022) A Deep Learning based Generalized Ground Motion Model for the Chilean Subduction Seismic Environment, 12th National Conference on Earthquake Engineering, NCEE 2022.

2021

• Raghavendra T, Jawad F, Gurunandan M, Vageesh HP. (2021) Application of fly ash in flowable fills and self-compacting concretes, Handbook of Fly Ash, 611-656, DOI:10.1016/B978-0-12-817686-3.00014-1.
• Fayaz J, Azar S, Dabaghi M, Zareian F. (2021) An efficient algorithm to simulate hazard-targeted site-based synthetic ground motions, Earthquake Spectra, volume 37, no. 2, pages 876-902, DOI:10.1177/8755293020970968.
• Fayaz J, Xiang Y, Zareian F. (2021) Generalized ground motion prediction model using hybrid recurrent neural network, Earthquake Engineering and Structural Dynamics, volume 50, no. 6, pages 1539-1561, DOI:10.1002/eqe.3410.
• Fayaz J, Rezaeian S, Zareian F. (2021) Evaluation of simulated ground motions using probabilistic seismic demand analysis: CyberShake (ver. 15.12) simulations for Ordinary Standard Bridges, Soil Dynamics and Earthquake Engineering, volume 141, DOI:10.1016/j.soildyn.2020.106533.
• Fayaz J, Azar S, Dabaghi M, Zareian F. (2021) Methodology for validation of simulated ground motions for seismic response assessment: Application to cybershake source-based ground motions, Bulletin of the Seismological Society of America, volume 111, no. 1, pages 226-241, DOI:10.1785/0120200240.
• Fayaz J, Zareian F. (2021) An efficient algorithm to simulate site-based ground motions that match a target spectrum, Earthquake Engineering and Structural Dynamics, volume 50, no. 13, pages 3532-3549, DOI:10.1002/eqe.3521.

2020

• Torres-Rodas P, Fayaz J, Zareian F. (2020) Strength resistance factors for seismic design of exposed based plate connections in special steel moment resisting frames, Earthquake Spectra, volume 36, no. 2, pages 537-553, DOI:10.1177/8755293019891714.
• Fayaz J, Medalla M, Zareian F. (2020) Sensitivity of the response of Box-Girder Seat-type bridges to the duration of ground motions arising from crustal and subduction earthquakes, Engineering Structures, volume 219, DOI:10.1016/j.engstruct.2020.110845.
• Fayaz J, Dabaghi M, Zareian F. (2020) Utilization of Site-Based Simulated Ground Motions for Hazard-Targeted Seismic Demand Estimation: Application for Ordinary Bridges in Southern California, Journal of Bridge Engineering, volume 25, no. 11, DOI:10.1061/(ASCE)BE.1943-5592.0001634.

2019

• Fayaz J, Zareian F. (2019) Reliability Analysis of Steel SMRF and SCBF Structures Considering the Vertical Component of Near-Fault Ground Motions, Journal of Structural Engineering (United States), volume 145, no. 7, DOI:10.1061/(ASCE)ST.1943-541X.0002330.
• Fayaz J, Xiang Y, Zareian F. (2019) Performance assessment of bridges under a sequence of seismic excitations, COMPDYN Proceedings, volume 2, pages 2661-2676, DOI:10.7712/120119.7101.19241.
• Fayaz J, Dabaghi M, Zareian F. (2019) Probabilistic analytical benchmarking of source-based and site-based ground motion simulation models, 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.
• Jawad F, Adarsha CY, Raghavendra T, Udayashankar BC, Natarajan K. (2019) Structural behavior of concrete beams and columns reinforced with Waste Plastic incorporated GFRP (WPGFRP) rebars, Journal of Building Engineering, volume 23, pages 172-184, DOI:10.1016/j.jobe.2019.01.030.

2016

• Raghavendra T, Siddanagouda YH, Jawad F, Adarsha CY, Udayashankar BC. (2016) Performance of Ternary Binder Blend Containing Cement, Waste Gypsum Wall Boards and Blast Furnace Slag in CLSM, Procedia Engineering, volume 145, pages 104-111, DOI:10.1016/j.proeng.2016.04.027.

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