ORCID Profile
0000-0002-7654-9978
Current Organisation
Flinders 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)
Mechanical Engineering | Palaeontology (incl. Palynology) | Water treatment processes | Maritime engineering | Biomechanical Engineering | Biomedical Engineering | Biomechanical Engineering | Structural Engineering | Control Systems, Robotics and Automation | Ship and platform structures (incl. maritime hydrodynamics) | Dynamics, Vibration and Vibration Control | Manufacturing Processes and Technologies (excl. Textiles) | Solid Mechanics | Maritime Engineering | Aerospace Structures | Biological control | Mechanical Engineering | Naval Architecture | Marine Engineering
ANZSRC Socio-Economic Objective (SEO)
Navy | Expanding Knowledge in Engineering | Metals (e.g. Composites, Coatings, Bonding) | Emerging Defence Technologies | Air transport | Aerospace equipment | Scientific Instruments | Public health not elsewhere classified | Expanding Knowledge in the Agricultural and Veterinary Sciences |
Related Links
Publications
Toward the Generation of Mission Plans for Operation of Autonomous Marine Vehicles in Confined Areas
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2019
Distributed active shock absorbers for flexible structures
Publisher: IEEE
Date: 05-2008
Response component analysis for sea state estimation using artificial neural networks and vessel response spectral data
Publisher: Elsevier BV
Date: 10-2022
Pseudo-conductivity inhomogeneous head model for computation of EEG
Publisher: IEEE
Date: 1998
Biogeography-based combinatorial strategy for efficient autonomous underwater vehicle motion planning and task-time management
Publisher: Springer Science and Business Media LLC
Date: 09-11-2016
Material selection and manufacturing of riblets for drag reduction: An updated review
Publisher: SAGE Publications
Date: 04-2016
Abstract: Riblets are a well-researched and understood passive method for achieving viscous drag reduction. Since the 1970s, researchers have found that, with riblets, viscous drag reduction in the order of 8% is achievable in turbulent air and fluid flows. Most of the relevant literature provides insight into the drag-reductive mechanisms of riblets and the effect of riblet morphological design in varying flow conditions. A few recent studies have begun to investigate the influence of material properties on the drag-reductive ability of riblet surfaces with promising results. We here provide an updated review of material selection and riblet manufacture and show current trends. A brief summary is provided of the theories of riblet drag-reductive ability, riblet surface design, the role of material selection for drag reduction and current manufacturing techniques.
A novel versatile architecture for autonomous underwater vehicle’s motion planning and task assignment
Publisher: Springer Science and Business Media LLC
Date: 18-11-2018
Evaluation of a Deep-Reinforcement-Learning-based Controller for the Control of an Autonomous Underwater Vehicle
Publisher: IEEE
Date: 05-10-2020
Bifurcation control of a flexible beam under principal parametric excitation
Publisher: IEEE
Date: 2000
Commonsense knowledge representation and reasoning with fuzzy neural networks
Publisher: IEEE
Date: 1996
Direct Adaptive Pole-Placement Controller using Deep Reinforcement Learning: Application to AUV Control
Publisher: Elsevier BV
Date: 2021
Online path planning for AUV rendezvous in dynamic cluttered undersea environment using evolutionary algorithms
Publisher: Elsevier BV
Date: 09-2018
Shepherding Autonomous Goal-Focused Swarms in Unknown Environments Using Hilbert Space-Filling Paths
Publisher: Springer International Publishing
Date: 23-09-2021
Feasibility analysis of using the hp-adaptive Radau pseudospectral method for minimum-effort collision-free docking operations of AUV
Publisher: Elsevier BV
Date: 11-2020
Constructing a fuzzy grammar for syntactic face detection
Publisher: IEEE
Date: 1996
Path planning for rendezvous of multiple AUVs operating in a variable ocean
Publisher: IEEE
Date: 06-2014
A hierarchal planning framework for AUV mission management in a spatiotemporal varying ocean
Publisher: Elsevier BV
Date: 04-2018
Nano-halloysite concentration effects on fracture toughness of diverse epoxy nanocomposites
Publisher: ASTM International
Date: 17-01-2014
DOI: 10.1520/MPC20130032
Verification of CFD analysis methods for predicting the drag force and thrust power of an underwater disk robot
Publisher: Elsevier BV
Date: 06-2014
Materials Selection for Antifouling Systems in Marine Structures
Publisher: MDPI AG
Date: 25-05-2022
DOI: 10.3390/MOLECULES27113408
Abstract: Fouling is the accumulation of unwanted substances, such as proteins, organisms, and inorganic molecules, on marine infrastructure such as pylons, boats, or pipes due to exposure to their environment. As fouling accumulates, it can have many adverse effects, including increasing drag, reducing the maximum speed of a ship and increasing fuel consumption, weakening supports on oil rigs and reducing the functionality of many sensors. In this review, the history and recent progress of techniques and strategies that are employed to inhibit fouling are highlighted, including traditional biocide antifouling systems, biomimicry, micro-texture and natural components systems, superhydrophobic, hydrophilic or hiphilic systems, hybrid systems and active cleaning systems. This review highlights important considerations, such as accounting for the effects that antifouling strategies have on the sensing mechanism employed by the sensors. Additionally, due to the specialised requirements of many sensors, often a bespoke and tailored solution is preferential to general coatings or paints. A description of how both fouling and antifouling techniques affect maritime sensors, specifically acoustic sensors, is given.
Cooperative guidance system for AUV docking with an active suspended docking station
Publisher: IEEE
Date: 06-2019
Toward efficient task assignment and motion planning for large-scale underwater missions
Publisher: SAGE Publications
Date: 09-2016
Abstract: An autonomous underwater vehicle needs to possess a certain degree of autonomy for any particular underwater mission to fulfil the mission objectives successfully and ensure its safety in all stages of the mission in a large-scale operating field. In this article, a novel combinatorial conflict-free task assignment strategy, consisting of an interactive engagement of a local path planner and an adaptive global route planner, is introduced. The method takes advantage of the heuristic search potency of the particle swarm optimization algorithm to address the discrete nature of routing-task assignment approach and the complexity of nondeterministic polynomial-time-hard path planning problem. The proposed hybrid method is highly efficient as a consequence of its reactive guidance framework that guarantees successful completion of missions particularly in cluttered environments. To examine the performance of the method in a context of mission productivity, mission time management, and vehicle safety, a series of simulation studies are undertaken. The results of simulations declare that the proposed method is reliable and robust, particularly in dealing with uncertainties, and it can significantly enhance the level of a vehicle’s autonomy by relying on its reactive nature and capability of providing fast feasible solutions.
A Comprehensive Review of Shepherding as a Bio-Inspired Swarm-Robotics Guidance Approach
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2020
An autonomous reactive architecture for efficient AUV mission time management in realistic dynamic ocean environment
Publisher: Elsevier BV
Date: 2017
Shell space decomposition based path planning for AUVs operating in a variable environment
Publisher: Elsevier BV
Date: 11-2014
A Survey of Underwater Acoustic Data Classification Methods Using Deep Learning for Shoreline Surveillance
Publisher: MDPI AG
Date: 11-03-2022
DOI: 10.3390/S22062181
Abstract: This paper presents a comprehensive overview of current deep-learning methods for automatic object classification of underwater sonar data for shoreline surveillance, concentrating mostly on the classification of vessels from passive sonar data and the identification of objects of interest from active sonar (such as minelike objects, human figures or debris of wrecked ships). Not only is the contribution of this work to provide a systematic description of the state of the art of this field, but also to identify five main ingredients in its current development: the application of deep-learning methods using convolutional layers alone deep-learning methods that apply biologically inspired feature-extraction filters as a preprocessing step classification of data from frequency and time–frequency analysis methods using machine learning to extract features from original signals and transfer learning methods. This paper also describes some of the most important datasets cited in the literature and discusses data-augmentation techniques. The latter are used for coping with the scarcity of annotated sonar datasets from real maritime missions.
Effects of Various Antifouling Coatings and Fouling on Marine Sonar Performance
Publisher: MDPI AG
Date: 11-04-2019
Abstract: There is a rising imperative to increase the operational availability of maritime vessels by extending the time between full docking cycles. To achieve operational efficacy, maritime vessels must remain clear of biological growth. Such growth can cause significant increases in frictional drag, thereby reducing speed, range and fuel efficiency and decreasing the sensitivity of acoustic sensors. The impact that various stages of fouling have on acoustic equipment is unclear. It is also unclear to what extent antifouling techniques interfere with the transmission of acoustic signals. In this study, to examine this effect, neoprene s les were coated with three antifouling coatings, namely, Intersmooth 7460HS, HempaGuard X7 and Hempasil X3. Other neoprene s les were left uncoated but were imbedded with the biocide, 4,5-dichloro-2-octyl-4-isothiazolin-3-one (DCOIT) during the mixing and curing process. Uncoated nitrile s les that had varying levels of fouling from immersion in Port Phillip Bay, Australia, for 92, 156 and 239 days were also extracted. The acoustic properties of these s les were measured using an acoustic insertion loss test and compared to uncoated neoprene or nitrile to ascertain the acoustic effects of the applications of antifouling coatings as well as the fouling growth itself. A T-peel test was performed on all coated s les in an attempt to understand the adhesive properties of the coatings when applied to neoprene. It was found that the application of antifouling coatings had little effect on the transmission characteristics of the neoprene with approximately 1 dB loss. The embedment of DCOIT, however, has a chance of causing aeration in the neoprene, which can heavily h er transmission. An assessment of the effect of the fouling growth found that light and medium fouling levels produced little transmission loss, whereas more extreme fouling lead to a 9 dB transmission loss. The adhesion properties of the coatings were investigated but not fully ascertained as tensile yielding occurred before peeling. However, various failure modes are presented and discussed in this study.
Multiresolution eigenface-components
Publisher: IEEE
Date: 1997
Towards invariant face recognition
Publisher: Elsevier BV
Date: 03-2000
Preliminary study of relationship between head models and computed potentials in EEG forward computation
Publisher: IEEE
Date: 1999
Commonsense knowledge-based face detection
Publisher: IEEE
Date: 1997
Illumination invariant face recognition
Publisher: IEEE
Date: 1998
Thermal stability of pyrrolidinium-FSI ionic liquid electrolyte and lithium-ion electrodes at elevated temperatures
Publisher: The Electrochemical Society
Date: 2018
DOI: 10.1149/2.0281807JES
Quadtree principal component analysis and its application to facial expression classification
Publisher: IEEE
Date: 1999
Parallel Computational Fluid Dynamics -- Natural frequency ratio effect on 2 DOF flow induced vibration of cylindrical structures
Publisher: Springer Berlin Heidelberg
Date: 2014
A survey of underwater docking guidance systems
Publisher: Elsevier BV
Date: 02-2020
A study on the design and manufacturing of a deep-sea unmanned underwater vehicle based on structural reliability analysis
Publisher: Informa UK Limited
Date: 05-02-2009
Wavelet packet face representation and recognition
Publisher: IEEE
Date: 1997
Time and energy efficient trajectory generator for autonomous underwater vehicle docking operations
Publisher: IEEE
Date: 09-2016
Common-sense Knowledge Representation and Reasoning, and its Application to Face Detection
Publisher: Fuji Technology Press Ltd.
Date: 20-06-1998
DOI: 10.20965/JACIII.1998.P0096
Abstract: This paper highlights the theory of common-sense knowledge in terms of representation and reasoning. A connectionist model is proposed for common-sense knowledge representation and reasoning. A generic fuzzy neuron is used as a basic element for the connectionist model. The representation and reasoning ability of the model are described through ex les. A common-sense knowledge base is employed to develop a human face detection system. The system consists of three stages: preprocessing, face-components extraction, and final decision making. A neural-network-based algorithm is utilised to extract face components. Five networks are trained to detect the mouth, nose, eyes, and full face. The detected face components and their corresponding possibility degrees enable the knowledge base to locate faces in the image and to generate a membership degree for the detected faces within the face class. The experimental results obtained using this method are presented.
Parallel Computational Fluid Dynamics
Publisher: Springer Berlin Heidelberg
Date: 2014
Fractal face representation and recognition
Publisher: IEEE
Date: 1997
IDVD-based trajectory generator for autonomous underwater docking operations
Publisher: Elsevier BV
Date: 06-2017
Face image matching using fractal dimension
Publisher: IEEE
Date: 1999
Hybrid Motion Planning Task Allocation Model for AUV’s Safe Maneuvering in a Realistic Ocean Environment
Publisher: Springer Science and Business Media LLC
Date: 19-02-2019
Efficient AUV Path Planning in Time-Variant Underwater Environment Using Differential Evolution Algorithm
Publisher: Springer Science and Business Media LLC
Date: 07-09-2018
Influence of pseudo conductivities on the EEG forward computation for human head modelling
Publisher: IEEE
Date: 1998
Shape optimization of an autonomous underwater vehicle with a ducted propeller using computational fluid dynamics analysis
Publisher: Elsevier BV
Date: 03-2012
Learning-Based vs Model-Free Adaptive Control of a MAV Under Wind Gust
Publisher: Springer International Publishing
Date: 2022
Adaptive integral sliding mode control for active vibration absorber design
Publisher: IEEE
Date: 2000
Optimal Path Planning based on Annular Space Decomposition for AUVs Operating in a Variable Environment
Publisher: IEEE
Date: 09-2012
Effects of natural frequency ratio on vortex-induced vibration of a cylindrical structure
Publisher: Elsevier BV
Date: 03-2015
Active vibration absorber design via sliding mode control
Publisher: No publisher found
Date: 2000
Surveillance of coral reef development using an Autonomous Underwater Vehicle
Publisher: IEEE
Date: 11-2016
Autonomous ship hull inspection by omnidirectional path and view
Publisher: IEEE
Date: 11-2016
An Investigation of Preprocessing Filters and Deep Learning Methods for Vessel Type Classification With Underwater Acoustic Data
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
A Low-Cost Test Bench for Underwater Thruster Identification
Publisher: Elsevier BV
Date: 2019
Managing Ethical Consumption in Tourism
Publisher: Routledge
Date: 05-02-2014
Related Organisations
University Of Nottingham Faculty Of Engineering
Location: United Kingdom of Great Britain and Northern Ireland
Related Funding Activities
Industrial Transformation Training Centres - Grant ID: IC140100003
Start Date: 01-2015
End Date: 03-2020
Amount: $2,389,935.00
Funder: Australian Research Council
View Funded ActivityIndustrial Transformation Training Centres - Grant ID: IC220100003
Start Date: 06-2023
End Date: 06-2028
Amount: $4,930,205.00
Funder: Australian Research Council
View Funded ActivityLinkage Infrastructure, Equipment And Facilities - Grant ID: LE0560673
Start Date: 2005
End Date: 12-2005
Amount: $377,178.00
Funder: Australian Research Council
View Funded ActivityLinkage Infrastructure, Equipment And Facilities - Grant ID: LE180100136
Start Date: 09-2018
End Date: 09-2019
Amount: $557,389.00
Funder: Australian Research Council
View Funded ActivityLinkage Infrastructure, Equipment And Facilities - Grant ID: LE150100094
Start Date: 06-2015
End Date: 12-2018
Amount: $400,000.00
Funder: Australian Research Council
View Funded Activity