HDR Candidates
PhD Candidate
Thesis Title: Developing Innovative Technologies for Recycling Brick Waste in Concrete – a CO2 approach
PhD Candidate
Thesis Title: Development of Lightweight Aggregate and Concrete from Coal Washery Rejects
PhD Candidate
Thesis Title: Multi Modal Condition Assessment of Bridges Using Video-based Identification Approach
PhD Candidate
Thesis Title: Analysis and Design of Concrete-Filled Steel Tubular Members Considering Size Effect
PhD Candidate
Thesis Title: BIM Platform for the Design and Manufacturing of Modular Residential Units
PhD Candidate
Thesis Title: Digitally Optimizing Energy Consumption in Buildings
PhD Candidate
Thesis Title: Development of Fly Ash-Based Spray-Applied Fire-Resistive Materials
PhD Candidate
Thesis Title: Dynamic Shading System for Energy Efficient Housing
PhD Candidate
Thesis Title: Multi Modal Condition Assessment of Bridges Using Video-based Identification Approach
PhD Candidate
Thesis Title: Structural Health Monitoring of Timber Bridge via Non-Destructive Testing and Artificial Intelligence
PhD Candidate
Thesis Title: Improving Microstructural Properties of Recycled Aggregate for High-grade Concrete Applications.
PhD Candidate
Thesis Title: Understand the Effect of Interaction on the Swarm of Microrobots for Smart Function
PhD Candidate
Thesis Title: Packing Structure Optimisation for Powder Spreading in Additive Manufacturing Processes
PhD Candidate
Thesis Title: Energy Harvesting from Vertical Pedestrian-Induced Vibrations of Footbridges for Structural Health Monitoring Applications
PhD Candidate
Thesis Title: Prediction of the Life Cycle Energy Consumption of Residential Adopting Rebound Effects for Energy-Saving Policies Optimization
PhD Candidate
Thesis Title: Behaviour of Steel Columns Filled with Concrete Incorporating High-Volume Waste Glass
PhD Candidate
Thesis Title: Contributing Factors for Recycled Concrete Price Competitiveness
PhD Candidate
Thesis Title: Multiscale Numerical Study of Blood Cell Flow
PhD Candidate
Thesis Title: Novel Fire-Resistant Rehabilitation Schemes for RC Columns with FRP Composites
PhD Candidate
Thesis Title: Robustness of Corner-Supported Modular Steel Buildings.
PhD Candidate
Thesis Title: Analysing Dynamic Behavior of Railway Bridge Transition Zone Using FEM and DEM Coupling
PhD Candidate
Thesis Title: Design of Connections in Corner-Supported Prefabricated Modular Steel Buildings
PhD Candidate
Thesis Title: Strength and Ductility of Concrete Filled Steel Tube with Ultra-High Strength Materials
PhD Candidate
Thesis Title: Structural Performance of Concrete Walls and Columns with Permanent Formworks
PhD Candidate
Thesis Title: Improving Flexural Performance of Moment-Resisting Joints in Volumetric Modular Steel Buildings
PhD Candidate
Thesis Title: Design of Innovative Energy Saving Modular Facades for Prefabricated Multi-story Modular Buildings
PhD Candidate
Thesis Title: Development of low-grade and waste clay-based LC3 Composites
PhD Candidate
Thesis Title: Corrosion of Refractory Materials in Cement Rotary Kilns
PhD Candidate
Thesis Title: Numerical Study of CAP Cyclone
PhD Candidate
Thesis Title: Particle-Scale Numerical Study on Screening Processes
PhD Candidate
Thesis Title: Design of Connections for High Performance Corner Supported Prefabricated Multi-story Modular Buildings
PhD Candidate
Thesis Title: Numerical Study of Micro-Channel Flow in Porous Media
PhD Candidate
Thesis Title: Development of Hydrophobic Agents to Improve Performance and Durability of Tailings-Based Aggregate and Concrete
MPhil Candidate
Thesis Title: Multi-Criteria Decision Analysis for Constructability Assessment of Major Infrastructure Projects
PhD Candidate
Thesis Title: Fire Performance of Geopolymer Concrete-Filled Steel Tubular Columns
PhD Candidate
Thesis Title: Utilisation of Point Clouds for Damage Detection of Civil Infrastructure Assets
PhD Candidate
Thesis Title: Simplified Simulation of Steel-Concrete Composite Columns in Fire.
PhD Candidate
Thesis Title: Development of a Dynamic Green Building Model
PhD Candidate
Thesis Title: Deep Reinforcement Learning-Based Production Planning and Construction Scheduling for Precast Projects