ORCID Profile
0000-0002-9451-4947
Current Organisation
Monash University
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Civil Engineering | Civil Geotechnical Engineering | Construction Engineering | Infrastructure Engineering and Asset Management | Structural Engineering | Construction Materials |
ANZSRC Socio-Economic Objective (SEO)
Road Freight | Road Infrastructure and Networks | Metals (e.g. Composites, Coatings, Bonding) | Civil Construction Processes | Management of Greenhouse Gas Emissions from Construction Activities | Civil Construction Design
Related Links
Publications
Performance evaluation of 3D descriptors for object recognition in construction applications
Publisher: Elsevier BV
Date: 02-2018
Use of Analytical Tools to Mitigate Mobile Crane-Related Failures
Publisher: American Society of Civil Engineers
Date: 29-03-2018
Computer vision technologies for safety science and management in construction: A critical review and future research directions
Publisher: Elsevier BV
Date: 03-2021
Case Study of BIM and Cloud–Enabled Real-Time RFID Indoor Localization for Construction Management Applications
Publisher: American Society of Civil Engineers (ASCE)
Date: 07-2016
Lifting path planning of mobile cranes based on an improved RRT algorithm
Publisher: Elsevier BV
Date: 10-2021
Data augmentation for deep learning-based detection of pump anomalous conditions
Publisher: IOP Publishing
Date: 11-2022
DOI: 10.1088/1755-1315/1101/8/082022
Abstract: Adopting effective asset maintenance approaches is critical in enhancing the longevity and cost-effectiveness of assets in civil infrastructure. Pumps are a crucial asset in many civil infrastructures such as wastewater treatment plants. Data-driven predictive maintenance (PdM) is an emerging asset maintenance method that diagnoses asset conditions proactively. However, the current PdM of pumping assets still requires extensive expert knowledge for finding robust feature extraction methods before applying machine learning methods. This is a significant barrier to the automation and robustness of the PdM of pumps. Deep learning-based algorithms offer the potential to address these issues by capturing data features in monitoring data and performing incremental learning of features without human interventions. To train an analytical model for accurate condition assessment, these methods require a great deal of training data, which is not often available due to time and cost limitations. This research aims to address the scarcity of training data by proposing a novel data augmentation method. The proposed approach consists of a signal-to-image data conversion method and multiple image augmentation methods. The LeNet-5 architecture was employed to produce the CNN model. The performance of the model was evaluated using a public data set. It was shown that the proposed augmentation method significantly enhances the validation accuracy and model generalisability.
Estimating and visualizing the exposure to tower crane operation hazards on construction sites
Publisher: Elsevier BV
Date: 04-2023
A Focused Review of Modular Construction for Medical and Quarantine Facilities
Publisher: American Society of Civil Engineers (ASCE)
Date: 12-2022
Human-in-the-Loop Simulation for Crane Lift Planning in Modular Construction On-Site Assembly
Publisher: American Society of Civil Engineers
Date: 13-06-2019
Geometric forming and mechanical performance of reciprocal frame structures assembled using fibre reinforced composites
Publisher: Elsevier BV
Date: 2022
Vision-based load sway monitoring to improve crane safety in blind lifts
Publisher: Informa UK Limited
Date: 02-10-2018
Pavement roughness index estimation and anomaly detection using smartphones
Publisher: Elsevier BV
Date: 09-2022
A Multi-User Virtual 3D Training Environment to Advance Collaboration Among Crane Operator and Ground Personnel in Blind Lifts
Publisher: American Society of Civil Engineers
Date: 17-06-2014
Analyzing the impact of simulation fidelity on VR-enabled hazard detection on construction sites – A case study on crane lift operation
Publisher: IOP Publishing
Date: 11-2022
DOI: 10.1088/1755-1315/1101/9/092021
Abstract: Crane operator training is an essential part of construction safety and is attracting extensive attention from researchers worldwide. Virtual reality (VR) is considered an effective tool to improve training outcomes by providing users with an immersive, risk-free experience in various environments. However, previous VR-based training platforms mainly focused on the scenario and task design few studies attempted to investigate the impact of simulation fidelity on training efficiency. This research aims to explore the effect of simulation fidelity on training outcomes by comparing user performance in two scenarios. A typical construction site was modelled in a game engine using two rendering approaches an eye-tracking system was adopted for data collection. The results from a subject experiment indicated the high efficiency of VR in operator safety training and demonstrated the usefulness of eye-tracking in measuring hazard detection performance. Findings showed that a higher level of simulation fidelity might not significantly improve the training efficiency, especially in hazard detection aspects.
Assessment of operator's situation awareness for smart operation of mobile cranes
Publisher: Elsevier BV
Date: 2018
A cyber–physical system (CPS) for planning and monitoring mobile cranes on construction sites
Publisher: Thomas Telford Ltd.
Date: 12-2018
Abstract: Various ways of improving mobile crane safety on construction sites have been introduced and adopted, such as visualisation of mobile crane operations, algorithm-based lift planning and spatial conflict identification. However, these focus only on either planning or monitoring aspects – there is no effective method for planning and monitoring mobile crane operations consistently with real-time control feedback. Developments in information technology, notably cyber–physical systems, are changing the way that planning and monitoring can be done. This paper explores the applicability of such systems to mobile cranes on construction sites. A five-layer system architecture is proposed, and the key components and the enabling technologies in each layer are investigated. The potential benefits and barriers in the implementation of the proposed system are also highlighted. By enabling bidirectional communication and coordination between physical components and their virtual representations, the system offers advantages in managing mobile cranes in such a way as to facilitate effective planning, proactively monitor crane operations, provide rich multimodal feedback to crane operators and, ultimately, avoid mobile crane failures and mobile-crane-related accidents.
Predictive maintenance of pumps in civil infrastructure: State-of-the-art, challenges and future directions
Publisher: Elsevier BV
Date: 02-2022
A practicality and safety-oriented approach for path planning in crane lifts
Publisher: Elsevier BV
Date: 07-2021
Analysis of Construction Workers’ Safety Behavior Based on Myers-Briggs Type Indicator Personality Test in a Bridge Construction Project
Publisher: American Society of Civil Engineers (ASCE)
Date: 2021
Real-Time 3D Crane Workspace Update Using a Hybrid Visualization Approach
Publisher: American Society of Civil Engineers (ASCE)
Date: 09-2017
Impact of owners’ safety management behavior on construction workers’ unsafe behavior
Publisher: Elsevier BV
Date: 02-2023
Design for Manufacture and Assembly in Off-Site Construction: Advanced Production of Modular Façade Systems
Publisher: International Association for Automation and Robotics in Construction (IAARC)
Date: 22-07-2018
Location tracking and data visualization technology to advance construction ironworkers' education and training in safety and productivity
Publisher: Elsevier BV
Date: 11-2013
Effectiveness Analysis from a Cognitive Perspective for a Real-Time Safety Assistance System for Mobile Crane Lifting Operations
Publisher: American Society of Civil Engineers (ASCE)
Date: 04-2017
Construction planning through 4D BIM-based virtual reality for light steel framing building projects
Publisher: Emerald
Date: 04-10-2023
DOI: 10.1108/SASBE-06-2022-0127
Abstract: The construction industry has actively attempted to tackle the low-productivity issues arising from inefficient construction planning. It is imperative to understand how construction practitioners perceive technology integration in construction planning in light of emerging technologies. This study intended to uncover unique experimental findings by integrating 4D-building information modelling (BIM) to virtual reality (VR) technology during construction planning among construction professionals at light steel framing (LSF) projects. The building industry participants were invited to provide inputs on two different construction planning methods: conventional and innovative methods. The conventional method involved the participants using traditional platforms such as 2D computer-aided design (CAD) and physical visualisation of paper-based construction drawings for the LSF assembly process with a Gantt Chart tool to complete construction planning-related tasks for the targeted project. Comparatively, participants are required to perform the same tasks using more innovative platforms like 4D-BIM in a VR environment. A Charrette Test Method was used to validate the findings, highlighting an improvement in usability (+10.3%), accuracy (+89.1%) and speed (+30%) using 4D BIM with VR compared to the conventional paper-based method. The findings are also validated by a paired t -test, which is supported by the rationality of the same findings. This study posits positive results for construction planning through the utilisation of modern practices and technologies. These findings are significant for the global construction industry facing low productivity issues, delays and certainty in terms of building delivery timelines due to poor construction planning. This new blend of technologies—combining 4D BIM and VR in industrialised construction projects—potentially directs future initiatives to drive the efficiency of construction planning in the building lifecycle. The interactive BIM-based virtual environment would purposefully transform construction planning practices in order to deliver modern and more certain building construction methods with a focus on prefabrication processes.
Automation and optimization in crane lift planning: A critical review
Publisher: Elsevier BV
Date: 08-2021
Impact of physical and mental fatigue on construction workers’ unsafe behavior based on physiological measurement
Publisher: Elsevier BV
Date: 06-2023
Forward: Information modelling of tunnelling and underground infrastructure: Technology and applications
Publisher: Elsevier BV
Date: 10-2021
Evaluation framework for smartphone-based road roughness index estimation systems
Publisher: Informa UK Limited
Date: 03-03-2023
Analyzing the inconsistency in driving patterns between manual and autonomous modes under complex driving scenarios with a VR-enabled simulation platform
Publisher: Tsinghua University Press
Date: 12-07-2022
DOI: 10.1108/JICV-05-2022-0017
Abstract: With the aid of naturalistic simulations, this paper aims to investigate human behavior during manual and autonomous driving modes in complex scenarios. The simulation environment is established by integrating virtual reality interface with a micro-simulation model. In the simulation, the vehicle autonomy is developed by a framework that integrates artificial neural networks and genetic algorithms. Human-subject experiments are carried, and participants are asked to virtually sit in the developed autonomous vehicle (AV) that allows for both human driving and autopilot functions within a mixed traffic environment. Not surprisingly, the inconsistency is identified between two driving modes, in which the AV’s driving maneuver causes the cognitive bias and makes participants feel unsafe. Even though only a shallow portion of the cases that the AV ended up with an accident during the testing stage, participants still frequently intervened during the AV operation. On a similar note, even though the statistical results reflect that the AV drives under perceived high-risk conditions, rarely an actual crash can happen. This suggests that the classic safety surrogate measurement, e.g. time-to-collision, may require adjustment for the mixed traffic flow. Understanding the behavior of AVs and the behavioral difference between AVs and human drivers are important, where the developed platform is only the first effort to identify the critical scenarios where the AVs might fail to react. This paper attempts to fill the existing research gap in preparing close-to-reality tools for AV experience and further understanding human behavior during high-level autonomous driving. This work aims to systematically analyze the inconsistency in driving patterns between manual and autopilot modes in various driving scenarios (i.e. multiple scenes and various traffic conditions) to facilitate user acceptance of AV technology. A close-to-reality tool for AV experience and AV-related behavioral study. A systematic analysis in relation to the inconsistency in driving patterns between manual and autonomous driving. A foundation for identifying the critical scenarios where the AVs might fail to react.
A framework for real-time pro-active safety assistance for mobile crane lifting operations
Publisher: Elsevier BV
Date: 12-2016
Principal Axes Descriptor for Automated Construction-Equipment Classification from Point Clouds
Publisher: American Society of Civil Engineers (ASCE)
Date: 03-2017
A Knowledge-Based Cyber-Physical System (CPS) Architecture for Informed Decision Making in Construction
Publisher: American Society of Civil Engineers
Date: 29-03-2018
Analysis of negative impacts of BIM-enabled information transparency on contractors' interests
Publisher: Elsevier BV
Date: 07-2019
Visualization, Information Modeling, and Simulation: Grand Challenges in the Construction Industry
Publisher: American Society of Civil Engineers (ASCE)
Date: 11-2016
Real-time monitoring of construction sites: Sensors, methods, and applications
Publisher: Elsevier BV
Date: 04-2022
Related Organisations
Related Funding Activities
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE210100019
Start Date: 08-2021
End Date: 12-2024
Amount: $664,580.00
Funder: Australian Research Council
View Funded ActivityIndustrial Transformation Research Hubs - Grant ID: IH180100010
Start Date: 07-2019
End Date: 06-2025
Amount: $4,918,357.00
Funder: Australian Research Council
View Funded Activity