Projects

Collaboration with Prof Petra Helmholz for deploying LoRaWAN sensors around campus, LoRaWAN gateways, MQTT broker, and database for research data collection.

Developed an image segmentation algorithm based on YOLOv8 to detect disease areas of crops in paddocks via drone imagery.

Developed a hand-held Raspberry Pi-based device to determine disease areas of a leaf using a single camera and OpenCV.

Contributed to the development of a monitoring system for defence dog kennels. Project details and partners are confidential.

Defence Science Centre's Collaborative Research Grant Round 6. Co-led research into robust remote operations and real-time asset health monitoring for defence applications.

Co-led a comprehensive cybersecurity survey of IoT devices for defence applications. Project details and partners are confidential.

Co-led the development of a hand-held scanner capable of detecting hidden wireless devices. Project details and partners are confidential.

Contributed to a sensor integration project for rifle systems. Project details and partners are confidential.

Developed a cloud-based asset management system for monitoring and remote operation of industrial assets.

Transmit sensor data through Azure Sphere to cloud without SCADA, enabling direct cloud connectivity for industrial sensor systems.

Surveyed industrial LoRaWAN sensors and gateways for potential deployment in Alcoa's industrial operations.

Developed sensing and monitoring for an industrial smart-washer system to improve process visibility and support reliable operation in plant conditions.

Developed a cloud-based remote operation system with direct communication and control of sensors and actuators on PLCs.

Designed a Power BI-based web application for processing sensor data and sending alarms for grain storage monitoring.

Developed a container-based application for sensor data processing pipeline, extending the original IoT dashboard solution.

Investigated and installed wireless sensors at silos for monitoring protective gas levels.

Developed a LED dashboard that displays scheduled blast events via edge computer and NodeRed framework.

Developed a monitoring system for truck driving trajectory and dumping behaviour based on computer vision and machine learning.

Developed a proof-of-concept system using a Siamese neural network to verify the identity of a person without a Photo ID.

Developed a low-cost wearable sensor to collect patient data and a fine-tuned GPT model for diagnostic assistance.

Improved user manual and redesigned housing for camera and sensor components of the Lighthouse product.

Developed a semi-autonomous navigation system and user control interface for electric wheelchairs.

Enhanced an existing solar panel cleaning robot with additional sensors to detect dust accumulation and hot spots, then schedule cleaning via machine learning algorithms.

Developed a monitoring system based on YOLOv8 to track product transitions within the production line, identifying blockages and situations impacting value chain performance.

Developed an embedded system for infant respiratory rate monitoring.

Developed an Android application based on MediaPipe to record pupil retraction under flashlight, with a custom model for pupil key points detection.

Developed a machine learning-based signal processing backend using the Django framework.

Designed an edge computing system to monitor vessels and their behaviour using YOLOv8 object detection, stereovision depth estimation, and LSTM neural networks for behaviour prediction.

Developed a web application with iOS/Android frontend for administrating housekeeping jobs at Rottnest Island Resort.

Developed signal processing and machine learning algorithms for a BLE implant for dog health monitoring.

Developed an application that ranks multiple potential powerline routes against a set of multi-tiered constraints and displays violations.

Developed an edge computing solution using computer vision and machine learning to read values from analogue gauges in industrial environments.

Designed and implemented a prototype reference architecture integrating Cisco cybersecurity systems with the Coalition of Open Process Automation (COPA) reference technology stack. Published technical whitepaper and designed training course for OT engineers.

Investigated and implemented a novel tunnelling solution through 5G core allowing 5G-capable OT devices to link with the COPA reference stack for both OT network and container network. Findings published as a technical whitepaper.

Supervised thesis on Bluetooth Low Energy beacon systems for indoor positioning and allocation.

Supervised thesis on a computer vision-based bottle counting assistant for Container Exchange schemes.

Supervised thesis on a deep learning model for surface type prediction of pharmaceutical macro capsules.

Supervised thesis on drone swarm communication protocols and formation optimisation algorithms.

Supervised thesis on an EEG control system for a smart wheelchair using NextMind brain-computer interface.

Supervised thesis on a facial and hand gesture control system for a smart wheelchair based on Arduino BLE Sense.

Supervised thesis on machine learning models for performance monitoring and control optimisation of HVAC systems.

Supervised thesis on software-defined PLC simulation and remote operation via industrial protocols.