Dr. Gayan Kahandawa Appuhamillage
Associate Professor, Mechatronics
Dr Gayan Kahandawa Appuhamillage’s research expertise includes mechatronic systems, sensors and signal processing, artificial intelligence, mobile robot navigation, instrumentation and structural health monitoring.
Dr Appuhamillage’s current projects include development of rear wheel steering systems for semitrailers (Regional Scholarship and Innovation Fund grant) and development of active restraining system for wheelchairs in public transport (Victorian Government Grant).
Gayan also works on the development of a novel mobile robot navigation algorithm. He currently holds two patents and published an edited book in 2015.
In his PhD project, Gayan worked with Boeing to develop a monitoring system to detect damage in advanced composite structures using embedded fibre optic sensors. He also used fibre optic sensors to monitor West Gate Bridge (VicRoads) and instrumentation and monitoring truck trailers (MaxiTRANS) for performance and structural enhancement.
Gayan has worked at the School of Engineering at Federation University Australia’s Gippsland campus since 2014.
A Novel Dataset for Baby Broccoli Identification by using YOLOv8 Model
Enhanced Agoraphilic Algorithm for Uneven Terrain-Adaptive Navigation
Enhanced Learner Interactions and Academic Integrity with Bespoke Interactive Online Tutorials in a Hybrid Learning Model
Experimental and numerical investigations on the ultimate flexural strength of concrete beams reinforced with grade 750 steel bars
Free Space Identification for Agoraphilic Algorithm in Uneven Terrain Environment
High-Speed Motion Planning with Object Acceleration Constraint for Industrial Robots
Machine Learning Accelerated Prediction of 3D Granular Flows in Hoppers
Navigating the New Normal: Student Perspectives on Transitioning from Online to Face-to-Face Learning After COVID-19 Lockdowns
Nonchemical Aquatic Weed Control Methods: Exploring the Efficacy of UV-C Radiation as a Novel Weed Control Tool
Online State-to-State Time-Optimal Trajectory Planning for Quadrotors in Unknown Cluttered Environments
Vehicles with cooperative redundancy of multiple steering systems: A hybrid shaft/hydrostatic drive system
Work-in-Progress Paper: Synergizing YOLOv8 and PCA for Size Estimation of Baby Broccoli
A Depth-Based Hybrid Approach for Safe Flight Corridor Generation in Memoryless Planning
Artificial Intelligence Enabled Digital Twin For Predictive Maintenance in Industrial Automation System: A Novel Framework and Case Study
Machine Learning-Based Agoraphilic Navigation Algorithm for Use in Dynamic Environments with a Moving Goal
Machine Learning Driven Digital Twin for Industrial Control Black Box System: A Novel Framework and Case Study
Time-minimum motion handling of open liquid-filled objects using sparse sequential quadratic programming
Agoraphilic navigation algorithm in dynamic environment with obstacles motion tracking and prediction
This paper presents a new algorithm to navigate robots in dynamically cluttered environments. The...
Agoraphilic Navigation Algorithm under Dynamic Environment
This paper presents a summary of the work done on the development of a new algorithm for mobile...
A Novel Optimistic Local Path Planner: Agoraphilic Navigation Algorithm in Dynamic Environment
Failure analysis of Slurry Pump assets in refinery for reduction of risks and costs
Machine Learning-Based Agoraphilic Navigation Algorithm
Past, Present and Future of Path-Planning Algorithms for Mobile Robot Navigation in Dynamic Environments
Views of American and Australian mobility device users and ambulant bus users regarding occupant restraint systems on public buses
Delivery of online electronics and mechatronics labs during lockdowns
Delivery of online electronics and mechatronics labs during lockdowns
E-Learning challenges for electronics and mechatronics education during lockdowns
E-Learning in Industrial Electronics during Covid-19
The Agoraphilic Navigation Algorithm under Dynamic Environment with a Moving Goal
Evaluating the Performances of the Agoraphilic Navigation Algorithm under Dead-Lock Situations
This paper presents a summary of the research which was conducted in developing a new free-space...
Real-Time Concrete Crack Detection and Instance Segmentation using Deep Transfer Learning †
Agoraphilic Navigation Algorithm in Dynamic Environment with and without Prediction of Moving Objects Location
This paper presents a summary of research conducted in performance improvement of Agoraphilic...
Assessing transformer oil quality using deep convolutional networks
Electrical power grids comprise a significantly large number of transformers that interconnect...
Comparative study on object tracking algorithms for mobile robot navigation in GPS-denied environment
This paper presents a comparative study conducted on the performance of the commonly used object...
Development and Bench-marking of Agoraphilic Navigation Algorithm in Dynamic Environment
This paper presents a summary of research which was conducted in developing a new human-like...
Measuring soil strain using fibre optic sensors
Monitoring subsurface soil movement is important in many geotechnical engineering applications...
Detecting Splicing and Copy-Move Attacks in Color Images
Image sensors are generating limitless digital images every day. Image forgery like splicing and...
On the apex seal analysis of limacon positive displacement machines
Rotary machines, and limaçon machines in particular, offer a better power to weight ratio...
Passive detection of splicing and copy-move attacks in image forgery
Internet of Things (IoT) image sensors for surveillance and monitoring, digital cameras, smart...
Tire Size Identification Using Extreme Learning Machine Algorithm
Precise tire size identification is needed to increase the efficiency and the reliability of tire...
An Investigation of the Use of Embedded FBG Sensors to Measure Temperature and Strain Inside a Concrete Beam during the Curing Period and Strain Measurements under Operational Loading
This paper covers detailed investigation on the use of a FBG sensor for temperature and strain...
Industry-led mechatronics degree development in regional Australia
This paper presents a technique that was used in the recent development of a new Mechatronics...
Novel tire inflating system using extreme learning machine algorithm for efficient tire identification
Tire inflators are widely used all around the word and the efficient and accurate operation is...
Optimum grasp force and resistance to slippage
This paper presents an analysis and experimental results as part of the research into the optimal...
Development of embedded FBG sensors for SHM systems
Fiber-reinforced polymer (FRP) composites being an engineering material for many decades. The...
Preface - Structural Health Monitoring Technologies and Next-Generation Smart Composite Structures
[No abstract available]
Smart Aerospace Composite Structures
Fiber-reinforced polymer (FRP) composites have been used as an engineering material for more than...
Structural Health Monitoring Technologies and Next-Generation Smart Composite Structures
Due to the increased use of composite materials in aerospace, energy, automobile, and civil...
Friction-based slip detection in robotic grasping
Friction-based slippage and tangential force detection in robotic grasping
Integrated FBG sensor responses and full field thermo-electric stress approach to monitor damage accumulation in glass fibre reinforced composite plate
New artificial intelligence based tire size identification for fast and safe inflating cycle
Optimal sensing requirement for slippage prevention in robotic grasping
Investigation of full-scale fibre composite girders for replacement of hardwood timber girders in Australia
Timber bridges are significant asset in bridge inventory. However, managing aging timber bridges...
An application of near infra-red fibre bragg grating as dynamic sensor in SHM of thin composite laminates
Vibration testing is an essential component in Structural Health Monitoring (SHM). It can provide...
Distortion index for assessment of damage growth in a composite structures using spectral distortion of embedded FBG sensors
Structural Health Monitoring Systems based on embedded FBG sensors, to identify damage...
Estimation of strain of distorted FBG sensor spectra using a fixed FBGfilter circuit and an artificial neural network
Fibre Bragg Grating (FBG) sensors are extremely sensitive to changes of strain, and are therefore...
Extraction and processing of real time strain of embedded FBG sensors using a fixed filter FBG circuit and an artificial neural network
Fibre Bragg Grating (FBG) sensors have been used in the development of structural health...
Indexing Damage using distortion of embedded FBG sensor response spectra
Structural Health Monitoring Systems based on embedded FBG sensors, to identify damage...
NIR fibre bragg grating as dynamic sensor: An application of 1D digital wavelet analysis for signal denoising
During the past decade, many successful studies have evidently shown remarkable capability of...
Novel approach for Optimisation of fibre Bragg grating sensor network for efficient damage detection in composite structures.
Prediction of obsolete FBG sensor using ANN for efficient and robust operation of SHM systems
Increased use of FRP composites for critical load bearing components and structures in recent...
Use of fixed wavelength Fibre-Bragg Grating (FBG) filters to capture time domain data from the distorted spectrum of an embedded FBG sensor to estimate strain with an Artificial Neural Network
It is well known that an FBG sensor spectrum is distorted, thus making it difficult to estimate...
Detecting delamination in a composite structure using an embedded FBG-AE hybrid system
Distorted spectra of Fibre Bragg Gratings (FBG) sensors have been using in most of research on...
Optimized FBG sensor network for efficient detection of a delamination in FRP structures
Delamination is a potential cause of failure of composite components. Due to the hidden nature of...
Use of FBG Sensors for SHM in Aerospace Structures
This paper details some significant findings on the use of the fiber Bragg grating (FBG) sensors...
Use of FBG sensors in SHM of aerospace structures
This paper discusses the use of Fibre Bragg grating sensors (FBG) in structural health monitoring...
Identification of distortions to FBG spectrum using FBG fixed filters
The developments of structural health/integrity monitoring systems using FBG sensors at CEEFC of USQ
Past few years CEEFC of USQ has been developing SHM systems using novel sensors including Fibre...