A5048214594- Occupational Health and Safety Research
- Construction Project Management and Performance
- BIM and Construction Integration
- Risk and Safety Analysis
- Infrastructure Maintenance and Monitoring
- Safety Warnings and Signage
- Facilities and Workplace Management
- Human-Automation Interaction and Safety
- Traffic and Road Safety
- 3D Surveying and Cultural Heritage
- Radiomics and Machine Learning in Medical Imaging
- Sustainable Building Design and Assessment
- Melanoma and MAPK Pathways
- Quality and Supply Management
- Asphalt Pavement Performance Evaluation
- Recycled Aggregate Concrete Performance
- Medical Imaging and Analysis
- Image and Object Detection Techniques
- Virtual Reality Applications and Impacts
- Environmental and Social Impact Assessments
- Value Engineering and Management
- Complex Systems and Decision Making
- Advanced Breast Cancer Therapies
- Urban Heat Island Mitigation
- Regulation and Compliance Studies
University of Canterbury
2017-2024
Johns Hopkins University
2022-2023
Sidney Kimmel Comprehensive Cancer Center
2022
National University of Singapore
2016-2018
University of Auckland
2015-2016
This paper presents a conceptual framework for developing leading safety indicators the construction industry. The clarifies nature of in terms definition, purpose, and attributes. A pragmatic method systematically identifying set projects is proposed. consists four steps: conceptualization, operationalization, indicator generation, validation, revision, emphasizes two functions indicators: informative decision aiding. First, must be able to provide information about state safety. Second,...
While Unmanned Aerial Vehicles (UAVs) are increasingly used for building façade inspections, their advantages have not been fully leveraged due to the challenge in gaining a fast and holistic understanding of as-is conditions from fragmented images. This paper describes framework address problem by registering UAV images into Building Information Model (BIM) three phases: (1) Extract position optical parameters configure virtual cameras BIM generate template images; (2) Employ an improved...
This paper aims to investigate the design for safety (DfS) knowledge, attitude, and practice (KAP) of multiple stakeholders, including architects, civil structural (CS) engineers, mechanical electrical (ME) developers/clients, project managers, professionals, propose potential interventions improve DfS implementation in construction industry. Data were collected from 257 stakeholders Singapore using a KAP questionnaire seven semistructured interviews with developers, managers. The results...
Off-site construction (OSC) is expected to boost productivity, shorten time, and reduce labour material wastage. Despite these benefits, most OSC projects have not fully achieved advantages, where a primary obstacle lies in the limited management of knowledge. However, there still no holistic understanding integration KM context. Therefore, this paper explores latest development for through systematic literature review using Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA)...
This study aims to explore the role of digital education in development skills and employability for engineering students through researching big data analytics courses. The empirical proposes hypothesis that both soft hard have positive effects on human capital, individual attributes, career dimensions students. is achieved constructing a framework three students’ two competency A questionnaire survey was conducted with 155 college structural equation model (SEM) used test hypotheses....
Purpose Current solutions for monitoring the progress of pavement construction (such as collecting, processing and analysing data) are inefficient, labour-intensive, time-consuming, tedious error-prone. In this study, an automated solution proposes sensors prototype mounted unmanned ground vehicle (UGV) data collection, LSTM classifier road layer detection, integrated algorithm as-built calculation web-based reporting. Design/methodology/approach The crux proposed solution, detection model,...