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YANG ZOU

Professor of Construction Automation and Robotics

Loughborough University

United Kingdom

Research Interests

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About

Yang Zou is a Senior Lecturer at the University of Auckland, New Zealand. His research interests encompass the integration of automation and advanced technologies in construction, focusing on areas such as mobile cranes in modular construction, automated UAV path-planning, and the application of immersive virtual reality in project management. His recent publications highlight innovative approaches to improve building quality management and construction progress measurement.

Articles (29)

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Collaborators (21)

Cheng Zhang

Lecturer in Digital and Sustainable Infrastructure

Loughborough University

UNITED KINGDOM

YANG ZOU

Research Interests

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About

Articles (29)

SPECIAL ISSUE EDITORIAL: Construction 5.0

Augmenting LLM reasoning with semantic web for knowledge sharing in off-site construction

A systematic review of constraint management studies in construction: current status and future direction

Automated generation of assembly schedules for precast building projects under uncertainty using reinforcement learning and Monte Carlo sampling

Multi-objective optimization of assembly scheduling in precast building construction using deep reinforcement learning

Application of machine learning technologies in predicting severity of heat-related illnesses among construction workers

Simultaneous Structural and Parameter Optimization in Agent-Based Models Using Adaptive Genetic Programming

Leveraging linked data for space constraints checking of mobile cranes in modular construction assembly lookahead planning

Automated Arch Profile Extraction from Point Clouds and Its Application in Arch Bridge Construction Monitoring

Knowledge graph-driven question answering for prefabricated building quality management through natural language processing and transfer learning

Understanding Social Interaction and Physiological Patterns in Nonlean and Last Planner System–Based Project Teams: A Comparative Study Using Immersive Virtual Reality

Unmanned ground vehicle (UGV) based automated construction progress measurement of road using LSTM

Integrating the Last Planner System and Immersive Virtual Reality: Exploring the Social Mechanisms Produced by Using LPS in Projects

Rapid in-flight image quality check for UAV-enabled bridge inspection

Moving toward lean construction through automation of planning and control in last planner system: A systematic literature review

An adaptive crack inspection method for building surface based on BIM, UAV and edge computing

An adaptive crack inspection method for building surface based on BIM, UAV and edge computing

Augmented reality, deep learning and vision-language query system for construction worker safety

Augmented reality, deep learning and vision-language query system for construction worker safety

Lessons Learned on Adopting Automated Compliance Checking in the AEC Industry: A Global Study

Automated UAV path-planning for high-quality photogrammetric 3D bridge reconstruction

Detection of RC Spalling Damage and Quantification of Its Key Properties from 3D Point Cloud

Designing for construction procurement: an integrated Decision Support System for Building Information Modelling

Effective Motion Sensors and Deep Learning Techniques for Unmanned Ground Vehicle (UGV)-Based Automated Pavement Layer Change Detection in Road Construction

Investigating the New Zealand Off-Site Manufacturing Industry’s Readiness for Automated Compliance Checking

A scientometric review of construction progress monitoring studies

Towards fully automated unmanned aerial vehicle-enabled bridge inspection: Where are we at?

Towards fully automated unmanned aerial vehicle-enabled bridge inspection: Where are we at?

Detection of RC Spalling Damage and Quantification of Its Key Properties from 3D Point Cloud

Collaborators (21)

Cheng Zhang

Roohollah Kalatehjari

Haosen Chen

Gaang Lee

Yi Tan

Suzanne Wilkinson

Ruggiero Lovreglio

Emile Chappin

Ruidong Chang

Mostafa Babaeian Jelodar

Shaoze Wu

Tirth Patel

Zhenan Feng

Minh Kieu

Eleni Papadonikolaki

HONGYU JIN

Long Chen

Hongwei Guo

James B. P. Lim

Enrique del Rey Castillo

Vicente A. Gonzalez

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