Best Project with the Most Commercial Potential

Sponsored by: .auDA

School: School of Electrical Engineering and Computer Science

Awarded to the project with the strongest market viability and entrepreneurial promise, sponsored by .au Domain Administration.

Air Pollution Monitoring Station via Wi-Fi HaLow

by  Harry Hunter

Supervisor(s): Matthew D'Souza

This project develops a low-cost, solar-powered air pollution monitoring station that uses Wi-Fi HaLow for long-range, low-power data transmission. The system measures the air quality in real time and stores results in a cloud database.

Motor Control Platform for Hydrofoil Propulsion Research and Development

by  Sebastian Bilios, Matthew Hoffman

Supervisor(s): Rahul Sharma

Electric Hydrofoil surfboards are quickly gaining popularity in the $15b water-sports market. This project was in collaboration with Flite, an industry leader in the eFoil space. It involved the design of a custom Electronic Speed Controller (ESC) to create the ultimate electric motor research & development platform to push the limits of eFoiling.

Scenario Analysis of Decision and Risk Points for Organisations and Directors Arising from New Ransomware Payments Disclosure Legislation in Australia

by  Eleasa Beh

Supervisor(s): Professor Ryan Ko, Professor John Swinson, Dr Elinor Tsen

With the new mandatory ransomware payment disclosure regime imposed on selected Australian businesses, it is becoming increasingly important for organisations and directors to know what to do when faced with ransomware. In my research, I investigate how the new obligations affect organisations and directors and provide insights to improve their ransomware responses.

SENSE IoT Platform for Environmental Research

by  Samuel Kwort

Supervisor(s): Matthew D'Souza, Nathaniel Deering, Brendon Duncan

SENSE is an end-to-end cellular IoT sensing platform designed for field deployments. It includes custom hardware, embedded firmware, and a web-based control system. SENSE Core devices collect environmental data, respond to remote commands, upload data, and store data locally.

The SMART Sleeper - A Highly-Integrated Rail Condition Monitoring System

by  Thomas Paull, Yichen Zhang, Alan Ravikumar, Enbo Liu, Kobey Lake, Henri Mueller

Supervisor(s): Pauline Pounds

The SMART Sleeper project combines a comprehensive array of sensors to determine local parameters of rails, sleeper and ballast and environment at discrete points along a rail line with the ability to upload data to the Cloud continuously throughout the day, so that rail operators can respond in real time to dangerous conditions, thus preventing train derailments.