Jawad Fayaz

Teesside University

United Kingdom

Research Interests

Explore related searches

Professors in United Kingdom

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (18)

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Collaborators (7)

Ekin Ozer

Assistant Professor

Dublin City University

IRELAND

View details

Lauren McMillan

Northumbria University

UNITED KINGDOM

View details

Carmine Galasso

UNITED KINGDOM

View details

Enrico Tubaldi

Senior Lecturer

University Of Strathclyde

UNITED KINGDOM

View details

Liz Varga

Professor

University College London

UNITED KINGDOM

View details

Claudio Angione

Professor

Teesside University

UNITED KINGDOM

View details

Farzin Zareian

Professor

University of California, Irvine

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Jawad Fayaz

Research Interests

Explore related searches

Contact this professor

Articles (18)

Probabilistic characterization of inherent and epistemic geotechnical uncertainty in soil constitutive models using polynomial chaos expansion and monotonic drained triaxial tests

Domain-informed variational neural networks and support vector machines based leakage detection framework to augment self-healing in water distribution networks

Data-driven analysis of crustal and subduction seismic environments using interpretation of deep learning-based generalized ground motion models

Statistical evaluation of steel moment frames response under crustal and subduction seismic environments

Interpretability and spatial efficacy of a deep-learning-based on-site early warning framework using explainable artificial intelligence and geographically weighted random forests

Data-driven analysis of crustal and subduction seismic environments using interpretation of deep learning-based generalized ground motion models

Deep learning-based modeling of the cyclic behavior of replaceable fuse buckling-restrained braces (BRBs)

SENSITIVITY ANALYSIS OF THE SEISMIC RESPONSE OF STEEL MOMENT FRAMES UNDER DIFFERENT EARTHQUAKE

Machine-Learning-Based Health Monitoring and Leakage Management of Water Distribution Systems

Assessment of ground motion amplitude scaling using interpretable Gaussian process regression: Application to steel moment frames

Assessment of ground motion amplitude scaling using interpretable Gaussian process regression: Application to steel moment frames

A deep neural network framework for real‐time on‐site estimation of acceleration response spectra of seismic ground motions

A recurrent-neural-network-based generalized ground-motion model for the Chilean subduction seismic environment

Fragility and vulnerability analysis of deteriorating ordinary bridges using simulated ground‐motion sequences

A generalized ground-motion model for consistent mainshock–aftershock intensity measures using successive recurrent neural networks

A generalized ground-motion model for consistent mainshock–aftershock intensity measures using successive recurrent neural networks

A Bayesian network‐based probabilistic framework for updating aftershock risk of bridges

An efficient algorithm to simulate site‐based ground motions that match a target spectrum

Collaborators (7)

Ekin Ozer

Lauren McMillan

Carmine Galasso

Enrico Tubaldi

Liz Varga

Claudio Angione

Farzin Zareian

Make your next move.