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Dr. Gayan Kahandawa Appuhamillage

Associate Professor, Mechatronics

RSIF Project



Churchill Campus, Online


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.

Enhanced Learner Interactions and Academic Integrity with Bespoke Interactive Online Tutorials in a Hybrid Learning Model

High-Speed Motion Planning with Object Acceleration Constraint for Industrial Robots

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

Vehicles with cooperative redundancy of multiple steering systems: A hybrid shaft/hydrostatic drive system

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

  • Conference Proceedings

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...

  • Conference Proceedings

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...

  • Conference Proceedings

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...

  • Conference Proceedings

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...

  • Conference Proceedings

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...

  • Conference Proceedings

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

  • Conference Proceedings

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...

  • Conference Proceedings