Area of research
Building and Construction · Geology
Research interest
Research interests include Computer science, Artificial intelligence, Point cloud, Building information modeling, Segmentation, and Computer vision.
Automated indoor 3D scene reconstruction with decoupled mapping using quadruped robot and LiDAR sensor
High-precision 3D BIM reconstruction for mechanical, electrical and plumbing components using terrestrial laser scanning and LiDAR point clouds
Integrating hierarchical segmentation and vision-language reasoning for spatially complex and occluded MEP point clouds
Automated generative design and prefabrication of precast buildings using integrated BIM and graph convolutional neural network
Automated BIM-to-scan point cloud semantic segmentation using a domain adaptation network with hybrid attention and whitening (DawNet)
Multi‐view stereo for weakly textured indoor 3D reconstruction
Enhancing 3D reconstruction of textureless indoor scenes with IndoReal multi-view stereo (MVS)
3D reconstruction of building information models with weakly-supervised learning for carbon emission modelling in the built environment
Semantic enrichment of BIM with IndoorGML for quadruped robot navigation and automated 3D scanning
Semantic navigation for automated robotic inspection and indoor environment quality monitoring
Data-driven predictive control for smart HVAC system in IoT-integrated buildings with time-series forecasting and reinforcement learning
Building layout generation using site-embedded GAN model
Robot-assisted mobile scanning for automated 3D reconstruction and point cloud semantic segmentation of building interiors
Automated joint 3D reconstruction and visual inspection for buildings using computer vision and transfer learning
Semi-supervised learning framework for crack segmentation based on contrastive learning and cross pseudo supervision
Construction cost management using blockchain and encryption
Label-efficient semantic segmentation of large-scale industrial point clouds using weakly supervised learning
BIM-based constructability-aware precast building optimization using optimality criteria and combined non-dominated sorting genetic II and great deluge algorithm (NSGA-II-GD)
Digital twin-enabled built environment sensing and monitoring through semantic enrichment of BIM with SensorML
Automated structural design optimization of steel reinforcement using graph neural network and exploratory genetic algorithms
BIM-Based Building Geometric Modeling and Automatic Generative Design for Sustainable Offsite Construction
Multi-agent robotic system (MARS) for UAV-UGV path planning and automatic sensory data collection in cluttered environments
A novel Data-Driven framework based on BIM and knowledge graph for automatic model auditing and Quantity Take-off
Automated semantic segmentation of industrial point clouds using ResPointNet++
BIM-based graph data model for automatic generative design of modular buildings
BIM and Data-Driven Predictive Analysis of Optimum Thermal Comfort for Indoor Environment
Mechanism of nano-silica to enhance the robustness and durability of concrete in low air pressure for sustainable civil infrastructures
BIM-BVBS integration with openBIM standards for automatic prefabrication of steel reinforcement
Physics-based, data-driven approach for predicting natural ventilation of residential high-rise buildings
DfMA-oriented design optimization for steel reinforcement using BIM and hybrid metaheuristic algorithms