ORCID Profile
0000-0002-2276-6862
Current Organisations
Ghent University
,
Chongqing Normal University
,
Sun Yat-Sen University
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
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 | Building | Construction Engineering | Building Construction Management and Project Planning | Infrastructure Engineering and Asset Management | Numerical Computation
ANZSRC Socio-Economic Objective (SEO)
Industrial Construction Processes | Expanding Knowledge in Engineering | Expanding Knowledge in the Mathematical Sciences | Civil Construction Processes | Civil Construction Planning | Electronic Information Storage and Retrieval Services |
Related Links
Publications
Fast-slow dynamics of a hydropower generation system with multi-time scales
Publisher: Elsevier BV
Date: 09-2018
Sparsity-enhanced optimization for ejector performance prediction
Publisher: Elsevier BV
Date: 10-2016
A DC programming approach for sensor network localization with uncertainties in anchor positions
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2014
Joint-Venture Contractor Selection Using Competitive and Collaborative Criteria with Uncertainty
Publisher: American Society of Civil Engineers (ASCE)
Date: 02-2019
Reference tag supported RFID tracking using robust support vector regression and Kalman filter
Publisher: Elsevier BV
Date: 04-2017
Stochastic Project Scheduling with Hierarchical Alternatives
Publisher: Elsevier BV
Date: 06-2018
Design of Nonuniform Transmultiplexers with Block Samplers and Single-Input Single-Output Linear Time-Invariant Filters Based on Perfect Reconstruction Condition
Publisher: Springer Science and Business Media LLC
Date: 12-01-2016
Multi-Criterion Two-Sided Matching of Public–Private Partnership Infrastructure Projects: Criteria and Methods
Publisher: MDPI AG
Date: 13-04-2018
DOI: 10.3390/SU10041178
A genetic algorithm for unconstrained multi-objective optimization
Publisher: Elsevier BV
Date: 06-2015
Binary artificial algae algorithm for multidimensional knapsack problems
Publisher: Elsevier BV
Date: 06-2016
Performance Predictions of Dry and Wet Vapors Ejectors Over Entire Operational Range
Publisher: MDPI AG
Date: 17-07-2017
DOI: 10.3390/EN10071012
A modified quasisecant method for global optimization
Publisher: Elsevier BV
Date: 11-2017
Non‐linear modelling and stability analysis of the PTGS at pump mode
Publisher: Institution of Engineering and Technology (IET)
Date: 05-2017
Discrete Firefly Algorithm for Scaffolding Construction Scheduling
Publisher: American Society of Civil Engineers (ASCE)
Date: 05-2017
A Prototype Tool of Optimal Wireless Sensor Placement for Structural Health Monitoring
Publisher: Springer International Publishing
Date: 2018
Excitation Current Analysis of a Hydropower Station Model Considering Complex Water Diversion Pipes
Publisher: American Society of Civil Engineers (ASCE)
Date: 10-2017
Optimal atomic-resolution structures of prion AGAAAAGA amyloid fibrils
Publisher: Elsevier BV
Date: 06-2011
DOI: 10.1016/J.JTBI.2011.02.012
Abstract: X-ray crystallography is a powerful tool to determine the protein 3D structure. However, it is time-consuming and expensive, and not all proteins can be successfully crystallized, particularly for membrane proteins. Although nuclear magnetic resonance (NMR) spectroscopy is indeed a very powerful tool in determining the 3D structures of membrane proteins, it is also time-consuming and costly. To the best of the authors' knowledge, there is little structural data available on the AGAAAAGA palindrome in the hydrophobic region (113-120) of prion proteins due to the noncrystalline and insoluble nature of the amyloid fibril, although many experimental studies have shown that this region has amyloid fibril forming properties and plays an important role in prion diseases. In view of this, the present study is devoted to address this problem from computational approaches such as global energy optimization, simulated annealing, and structural bioinformatics. The optimal atomic-resolution structures of prion AGAAAAGA amyloid fibils reported in this paper have a value to the scientific community in its drive to find treatments for prion diseases.
Robust Optimal Control of Continuous Linear Quadratic System Subject to Disturbances
Publisher: Springer Netherlands
Date: 2014
Integrating BIM and LiDAR for Real-Time Construction Quality Control
Publisher: Springer Science and Business Media LLC
Date: 28-09-2014
Dynamic modeling and dynamical analysis of pump-turbines in S-shaped regions during runaway operation
Publisher: Elsevier BV
Date: 04-2017
A Multiobjective Genetic Algorithm Based on a Discrete Selection Procedure
Publisher: Hindawi Limited
Date: 2015
DOI: 10.1155/2015/349781
Abstract: Multiobjective genetic algorithm (MOGA) is a direct search method for multiobjective optimization problems. It is based on the process of the genetic algorithm the population-based property of the genetic algorithm is well applied in MOGAs. Comparing with the traditional multiobjective algorithm whose aim is to find a single Pareto solution, the MOGA intends to identify numbers of Pareto solutions. During the process of solving multiobjective optimization problems using genetic algorithm, one needs to consider the elitism and ersity of solutions. But, normally, there are some trade-offs between the elitism and ersity. For some multiobjective problems, elitism and ersity are conflicting with each other. Therefore, solutions obtained by applying MOGAs have to be balanced with respect to elitism and ersity. In this paper, we propose metrics to numerically measure the elitism and ersity of solutions, and the optimum order method is applied to identify these solutions with better elitism and ersity metrics. We test the proposed method by some well-known benchmarks and compare its numerical performance with other MOGAs the result shows that the proposed method is efficient and robust.
Practical algorithm for stochastic optimal control problem about microbial fermentation in batch culture
Publisher: Springer Science and Business Media LLC
Date: 22-11-2017
An Inexact Dual Fast Gradient-Projection Method for Separable Convex Optimization with Linear Coupled Constraints
Publisher: Springer Science and Business Media LLC
Date: 23-05-2015
RFID-Aided Tracking System to Improve Work Efficiency of Scaffold Supplier: Stock Management in Australasian Supply Chain
Publisher: American Society of Civil Engineers (ASCE)
Date: 02-2018
Maximizing lifetime of a wireless sensor network via joint optimizing sink placement and sensor-to-sink routing
Publisher: Elsevier BV
Date: 09-2017
Optimization in Industrial Systems
Publisher: Hindawi Limited
Date: 2014
DOI: 10.1155/2014/824539
DISTRIBUTED PROXIMAL-GRADIENT METHOD FOR CONVEX OPTIMIZATION WITH INEQUALITY CONSTRAINTS
Publisher: Cambridge University Press (CUP)
Date: 10-2014
DOI: 10.1017/S1446181114000273
Abstract: We consider a distributed optimization problem over a multi-agent network, in which the sum of several local convex objective functions is minimized subject to global convex inequality constraints. We first transform the constrained optimization problem to an unconstrained one, using the exact penalty function method. Our transformed problem has a smaller number of variables and a simpler structure than the existing distributed primal–dual subgradient methods for constrained distributed optimization problems. Using the special structure of this problem, we then propose a distributed proximal-gradient algorithm over a time-changing connectivity network, and establish a convergence rate depending on the number of iterations, the network topology and the number of agents. Although the transformed problem is nonsmooth by nature, our method can still achieve a convergence rate, ${\\mathcal{O}}(1/k)$ , after $k$ iterations, which is faster than the rate, ${\\mathcal{O}}(1/\\sqrt{k})$ , of existing distributed subgradient-based methods. Simulation experiments on a distributed state estimation problem illustrate the excellent performance of our proposed method.
Space-Time Repetitive Project Scheduling Considering Location and Congestion
Publisher: American Society of Civil Engineers (ASCE)
Date: 05-2018
Ejector performance prediction at critical and subcritical operational modes
Publisher: Elsevier BV
Date: 03-2017
Scaffolding progress monitoring of LNG plant maintenance project using BIM and image processing technologies
Publisher: IEEE
Date: 07-2017
A hybrid approach to constrained global optimization
Publisher: Elsevier BV
Date: 10-2016
The slow-fast dynamical behaviors of a hydro-turbine governing system under periodic excitations
Publisher: Springer Science and Business Media LLC
Date: 22-11-2016
An exact penalty function-based differential search algorithm for constrained global optimization
Publisher: Springer Science and Business Media LLC
Date: 25-01-2015
A Framework Design for Optimizing Scaffolding Erection by Applying Mathematical Models and Virtual Simulation
Publisher: American Society of Civil Engineers
Date: 17-06-2014
Decomposition-based multi-objective firefly algorithm for RFID network planning with uncertainty
Publisher: Elsevier BV
Date: 06-2017
Spatial Signal Attenuation Model of Active RFID Tags
Publisher: IEEE
Date: 06-2017
A direct optimization method for low group delay FIR filter design
Publisher: Elsevier BV
Date: 07-2013
Perimeter Control With State-Dependent Delays: Optimal Control Model and Computational Method
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2022
A Smoothing Method for Ramp Metering
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2022
Incremental gradient-free method for nonsmooth distributed optimization
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2017
DOI: 10.3934/JIMO.2017021
Case Study of Selecting Decision-Making Schemes in Large-Scale Infrastructure Projects
Publisher: American Society of Civil Engineers (ASCE)
Date: 12-2017
An overview of corrosion defect characterization using active infrared thermography
Publisher: Elsevier BV
Date: 2019
Automatic as-built modeling for concurrent progress tracking of plant construction based on laser scanning
Publisher: SAGE Publications
Date: 12-2016
Abstract: The application of automatic as-built modeling based on laser scanning can potentially facilitate progress tracking and control in industrial plant construction. Although notable work has been conducted in the as-built modeling field, the level of automation and ability for programs to recognize semantic information is low. Semantic information, such as an installation schedule for industrial components, is vital for identifying actual construction progress. Unfortunately, as the current practices lack the ability to use robust process mapping to turn such information into corresponding as-built models, the current successful rate of recognition remains low. To fill these gaps, this article describes a new as-built modeling process for industrial components by incorporating segmentation and three-dimensional object recognition techniques from computer vision fields. Following the generation of the as-built model, the tracking process is able to identify schedule delays through deviation analysis between the as-built and four-dimensional as-designed models. The modeling process can be integrated in a concurrent construction environment, which provides precise feedback for planners and site managers to simultaneously maintain the quality of construction plans. A case study is conducted, which demonstrates that the developed process enables as-built modeling with semantic information and automatic construction progress tracking. With a certain number of as-built components of a dehydration module being captured, a successful recognition rate of over 90% is achieved. Furthermore, the processing time of the case study lies within an acceptable time period, which supports efficient progress tracking. The results show the feasibility of the developed process, which promises to save time and labor costs during construction.
A system of nonsmooth equations solver based upon subgradient method
Publisher: Elsevier BV
Date: 2015
Dynamics analysis of the fast-slow hydro-turbine governing system with different time-scale coupling
Publisher: Elsevier BV
Date: 2018
Hamiltonian analysis of a hydro-energy generation system in the transient of sudden load increasing
Publisher: Elsevier BV
Date: 2017
UAV Dispatch Planning for a Wireless Rechargeable Sensor Network for Bridge Monitoring
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2023
Sparsity-promoting distributed charging control for plug-in electric vehicles over distribution networks
Publisher: Elsevier BV
Date: 06-2018
The transition of WRRF models to digital twin applications
Publisher: IWA Publishing
Date: 31-03-2022
DOI: 10.2166/WST.2022.107
Abstract: Digital Twins (DTs) are on the rise as innovative, powerful technologies to harness the power of digitalisation in the WRRF sector. The lack of consensus and understanding when it comes to the definition, perceived benefits and technological needs of DTs is h ering their widespread development and application. Transitioning from traditional WRRF modelling practice into DT applications raises a number of important questions: When is a model's predictive power acceptable for a DT? Which modelling frameworks are most suited for DT applications? Which data structures are needed to efficiently feed data to a DT? How do we keep the DT up to date and relevant? Who will be the main users of DTs and how to get them involved? How do DTs push the water sector to evolve? This paper provides an overview of the state-of-the-art, challenges, good practices, development needs and transformative capacity of DTs for WRRF applications.
A Binary differential search algorithm for the 0–1 multidimensional knapsack problem
Publisher: Elsevier BV
Date: 12-2016
On the triality theory for a quartic polynomial optimization problem
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2012
A novel differential search algorithm and applications for structure design
Publisher: Elsevier BV
Date: 10-2015
Minimax optimal control of linear system with input-dependent uncertainty
Publisher: Elsevier BV
Date: 05-2014
Optimizations in Project Scheduling: A State-of-Art Survey
Publisher: Springer Netherlands
Date: 2014
Computational method for feedback perimeter control of multiregion urban traffic networks with state-dependent delays
Publisher: Elsevier BV
Date: 08-2023
Related Organisations
Related Funding Activities
Linkage Projects - Grant ID: LP170100341
Start Date: 09-2018
End Date: 11-2022
Amount: $228,900.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP170104612
Start Date: 04-2017
End Date: 12-2022
Amount: $432,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP140100873
Start Date: 07-2015
End Date: 04-2020
Amount: $428,000.00
Funder: Australian Research Council
View Funded Activity