Launch week offerEnds in00h00m00s

annual Promonthly Pro

An Thao Huynh

Lecturer

Leeds Beckett University

United Kingdom

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in United Kingdom

About

Dr. An Thao Huynh is an Assistant Professor at Queen's University Belfast, UK. Her research focuses on materials science and engineering, particularly in the areas of fracture behaviour of concrete, construction cost analysis, and the application of machine learning in predicting material strength. She has published recent articles on high-performance concrete, innovative pavement materials, and the use of decommissioned wind turbine blades in construction.

Articles (8)

Year:

2026

Year:

2025

Year:

2025

Year:

2024

Year:

2023

Year:

2022

Year:

2020

Year:

2020

Collaborators (2)

Duc-Kien Thai

Prof

Sejong University

SOUTH KOREA

View details

Kieran Ruane

Lecturer

Munster Technological University

IRELAND

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

An Thao Huynh

Research Interests

Make your next move.

Explore related searches

About

Articles (8)

Predicting the mechanical strength of geopolymer concrete by using ensemble learning with nature-inspired intelligence

From Machine Learning to Empirical Modelling: A Structured Framework for Predicting Compressive Strength of Fly Ash-Based Geopolymer Concrete

Evaluating the Performance of Low Carbon GGBS & Metakaolin Geopolymer (Cement Free) Concrete: Impact of Binder Composition, Curing Methods, and Activator Ratios on Compressive Strength

Fracture behaviour assessment of high-performance fibre-reinforced concrete at high strain rates using interpretable modelling approaches

Construction and Cost Analysis of BladeBridges Made from Decommissioned FRP Wind Turbine Blades

Material and structural characterization of a wind turbine blade for use as a bridge girder

A machine learning-assisted numerical predictor for compressive strength of geopolymer concrete based on experimental data and sensitivity analysis

A preliminary characterisation of innovative semi-flexible composite pavement comprising geopolymer grout and reclaimed asphalt planings

Collaborators (2)

Duc-Kien Thai

Kieran Ruane

Make your next move.

An Thao Huynh

Research Interests

Make your next move.

Explore related searches

About

Articles (8)

Predicting the mechanical strength of geopolymer concrete by using ensemble learning with nature-inspired intelligence

From Machine Learning to Empirical Modelling: A Structured Framework for Predicting Compressive Strength of Fly Ash-Based Geopolymer Concrete

Evaluating the Performance of Low Carbon GGBS &amp; Metakaolin Geopolymer (Cement Free) Concrete: Impact of Binder Composition, Curing Methods, and Activator Ratios on Compressive Strength

Fracture behaviour assessment of high-performance fibre-reinforced concrete at high strain rates using interpretable modelling approaches

Construction and Cost Analysis of BladeBridges Made from Decommissioned FRP Wind Turbine Blades

Material and structural characterization of a wind turbine blade for use as a bridge girder

A machine learning-assisted numerical predictor for compressive strength of geopolymer concrete based on experimental data and sensitivity analysis

A preliminary characterisation of innovative semi-flexible composite pavement comprising geopolymer grout and reclaimed asphalt planings

Collaborators (2)

Duc-Kien Thai

Kieran Ruane

Make your next move.

Evaluating the Performance of Low Carbon GGBS & Metakaolin Geopolymer (Cement Free) Concrete: Impact of Binder Composition, Curing Methods, and Activator Ratios on Compressive Strength