About
19
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Introduction
Civil engineer, focusing on BIM, AI
Skills and Expertise
Current institution
Education
September 2017 - April 2019
September 2012 - June 2016
Publications
Publications (19)
A R T I C L E I N F O Keywords: Building information modelling (BIM) Mine information model (MIM) Mining information management Parametric modelling Scan-to-BIM A B S T R A C T The adoption of Building Information Modelling (BIM) in construction has greatly improved project delivery, collaboration, and automation. However, its application in mining...
Critical infrastructure is vital for connectivity and economic growth but faces systemic threats from human-induced damage, climate change and natural disasters. Rapid, multi-scale damage assessments are essential, yet integrated, automated methodologies remain underdeveloped. This paper presents a multi-scale tiered approach, which addresses this...
In infrastructure asset management, monitoring structural condition is vital for safety and cost-efficiency. Traditional visual inspections are subjective, inconsistent, and time-consuming. Advanced automating visual inspections using digital technologies and artificial intelligence can effectively address these issues. Previous studies mainly focu...
Traditional visual inspections of infrastructure assets include interpretation of structural surface defects and their severity, which is labour-intensive, time-consuming, and highly subjective task. Hence, automation is crucial for increasing productivity in infrastructure asset management while ensuring consistency. To tackle that problem, we int...
The field of geotechnics undergoes a significant transformation in solving complex engineering problems by adopting digital technologies and automation processes. Among many other improvements, digital ground modelling has become state of the art when it comes to infrastructure projects as one of the most comprehensive ways to represent geological...
Critical infrastructure such as bridges are systematically targeted during wars and conflicts. This is because critical infrastructure is vital for enabling connectivity and transportation of people and goods, and hence, underpinning the national and international defence planning and economic growth. Mass destruction of bridges, along with minimal...
Automating visual inspection for capturing defects based on civil structures appearance is crucial due to its currently labour-intensive and time-consuming nature. An important aspect of automated inspection is image acquisition, which is rapid and cost-effective considering the pervasive developments in both software and hardware computing in rece...
The emergence of a photogrammetry-based 3D reconstruction technique enables rapid 3D modeling at a low cost and uncovers many applications in documenting the geometric dimensions of the environment. Although the theoretical accuracy of photogrammetry-based reconstruction has been studied intensively in the literature, the problem remains in evaluat...
The theoretical accuracy of photogrammetry-based reconstruction has been studied intensively in literature, but the problem remains in evaluating the accuracy of the generated point cloud in real practice. Typically, checking the coordinates of ground control points (GCPs) using total station is considered a promising approach. However, the GCPs ar...
Infrastructure industry is a significant contributor to a country's economy, but it is beset by cost overruns and delays. Therefore, project monitoring is essential to determine project performance by comparing the site progress to the schedule baseline. However, manual tracking lacks the precision and efficiency. The ability to quickly and accurat...
Storm runoff is a growing concern against a background of increasing urban densification, land-use adaptation and climate change. In this study, a storm water management model was used to analyze the hydrological and water-quality effects of rain gardens (also known as bioretention cells) as nonpoint source control solutions in low-impact developme...
The Architecture, Engineering & Construction (AEC) industry has increasing demand for a more efficient and effective construction progress monitoring approach, to replace the time-consuming, error-prone and labor-intensive manual approach. Indoor positioning technology has been considered a suitable choice to meet this demand by its adaptability to...
Purpose
Owing to the consumption of considerable resources in developing physical pipe prediction models and the fact that the statistical models cannot fit the failure records perfectly, the purpose of this paper is to use data mining method to analyze and predict the risks of water pipe failure via considering attributes and location of pipes in...
By considering physical, environmental factors of pipes and historical leakage records in Suzhou, a proactive water pipes leakage warning system was established. Regression analysis, Genetic algorithm, machine learning, data mining approaches were used to analyze the risk level of the leakage and integrated into a GIS platform. TPOT (Tree-based Pip...