A5014847946- Non-Destructive Testing Techniques
- Ultrasonics and Acoustic Wave Propagation
- Control Systems and Identification
- Gaussian Processes and Bayesian Inference
- Fault Detection and Control Systems
- Water Systems and Optimization
- Welding Techniques and Residual Stresses
- Geophysical Methods and Applications
- Soil Geostatistics and Mapping
- Digital Transformation in Industry
- Advanced Multi-Objective Optimization Algorithms
- Dementia and Cognitive Impairment Research
- Advanced Control Systems Optimization
- Big Data and Business Intelligence
- Blockchain Technology Applications and Security
- Infrastructure Maintenance and Monitoring
- Odor and Emission Control Technologies
- Electronic Health Records Systems
- Anomaly Detection Techniques and Applications
- Neural Networks and Applications
- Solar Radiation and Photovoltaics
- Photovoltaic System Optimization Techniques
- Energy Efficient Wireless Sensor Networks
- Intergenerational Family Dynamics and Caregiving
- Telemedicine and Telehealth Implementation
La Trobe University
2023-2025
Swinburne University of Technology
2020-2024
Peter MacCallum Cancer Centre
2021-2023
University of Technology Sydney
2012-2021
The University of Melbourne
2019-2020
University of Peradeniya
2011
Exploring the opportunity for applying digital twins in healthcare context is an emerging research area that has potential to support more personalized care. A recognized aspect cancer care need treatment planning complement recent advances precision medicine. In this article, we present a classification of into Grey Box, Surrogate, and Black Box models using systems mathematical modeling theory. We then explore one possible approach, namely incorporating use uterine This article presents...
Abstract This paper addresses automated mapping of the remaining wall thickness metallic pipelines in field by means an inspection robot equipped with nondestructive testing (NDT) sensing. Set context condition assessment critical infrastructure, integrity arbitrary sections conduit is derived a bespoke kinematic configuration that allows dense pipe discrimination circumferential and longitudinal direction via NDT sensing guaranteed lift‐off (offset sensor from wall) to wall, essential...
Pulsed Eddy Current (PEC) sensing is used for Non-Destructive Evaluation (NDE) of the structural integrity metallic structures in aircraft, railway, oil and gas sectors. Urban water utilities also have extensive large ferromagnetic form critical pressure pipe systems made grey cast iron, ductile iron mild steel. The associated material properties render NDE these pipes by means electromagnetic a necessity. In recent years PEC has established itself as state-of-the-art technique sector. This...
This paper describes a Gaussian Process based machine learning technique to estimate the remaining volume of cast iron in ageing water pipes. The method utilizes time domain signals produced by commercially available pulsed Eddy current sensor. Data sensor are used train model and perform inference metal volume. was learned using data obtained from calibration plates various thicknesses. Results were validated against wall thickness acquired high resolution laser scanner after pipes...
In sewerage industry, hydrogen sulphide induced corrosion of reinforced concretes is a global problem. To achieve comprehensive knowledge the propagation concrete corrosion, it vital to monitor critical factors such as moisture. this context, paper investigates use resistance measuring and processing for estimating moisture content. The behavior with surface temperature are studied effects pH concentration on analyzed. Gaussian Process regression modeling carried out predict volumetric...
Pulsed eddy current (PEC) sensing is a nondestructive testing and evaluation technique widely used for detecting quantification of flaws properties metallic test pieces. In recent years, the use assessment ferromagnetic materials, specifically, purpose thickness plates, or wall-like structures, has risen. The detector coil-based PEC sensor architecture been most commonly purpose. Recent works have demonstrated effectiveness coil voltage decay rate this signal feature to construct linear...
Abstract In today's rapidly evolving technological landscape, the healthcare industry is a pivotal sector that demands continuous innovation. Although extensive research on blockchain technology exists, literature has predominantly emphasized technical aspects and specific applications within industries. However, comprehensive exploration of blockchain's business patient value in remains limited. This study aims to address this gap by conducting systematic review using PRISMA framework,...
Digital twins are essentially digital replicas of physical entities. Their usage is becoming more common across various industries, including healthcare. However, the implementation in healthcare uniquely challenging. This partly because sensitive nature health data and privacy concerns. These concerns limit accessibility shareability. paper attempts to address this challenge sharing. We propose a novel approach that leverages federated learning, model sharing, twin-assisted clinical...
Presented in this paper is a method of simulating photovoltaic modules by taking the manufacturer specified data at standard test conditions as inputs. A for estimating unknown parameters simplified version single diode solar cell model corresponding to given panel described. In proposed approach, equivalent circuit represents an entire panel, composed several cells. new method, which simple, also identify ideality factor along with series resistance. Estimated unknowns are used generating...
The use of Digital Twins (DTs) or the digital replicas physical entities has provided benefits to several industry sectors, most notably manufacturing. To date, application DTs in healthcare sector been minimal, however. But, as pressure increases for more precise and personalized treatments, it behooves us investigate potential context. As a proof-of-concept demonstration prior working with real patients, we attempt this paper, explore creating using DTs. We do synthetic environment at...
Thickness quantification of conductive ferromagnetic materials has become a common necessity in present-day structural health monitoring and infrastructure maintenance. Recent research found Pulsed Eddy Current (PEC) sensing, especially the detector-coil-based PEC sensor architecture, to effectively serve as nondestructive sensing technique for this purpose. As result, several methods varying complexity have been proposed recent years extract signal features, against which material thickness...
Reinforced concrete (i.e., wall-like structures having steel reinforcement rods embedded within) are commonly available as civil infrastructures. Such structures, especially the walls of sewers, vulnerable to bacteria and gas induced acid attacks which contribute deterioration subsequent wall loss. Therefore, quantification loss becomes important in determining health structural integrity walls. An effective strategy that can be formulated quantify is, locating a rod thickness overlaying via...
Smart sensor systems play a decisive role in the condition assessment of concrete sewer pipes going through microbial corrosion. Few Australian water utilities adopt predictive analytic model for estimating They require inputs like air temperature data corrosion prediction. A system was developed to monitor daily variation inside harsh environmental conditions. However, diagnostic tool evaluate streaming is vital reliable monitoring. In this context, paper proposes temporal forecasting...
Resources to support dementia carers from ethnically diverse families are limited. We explored carers' and service providers' views on adapting the World Health Organization's iSupport Lite messages meet their needs.Six online workshops were conducted with family providers (n = 21) nine linguistic groups across Australia. Recruitment was via convenience snowball sampling existing networks. Data analyzed using thematic analysis.Participants reported that over-emphasized friends made...