Best Software Project

Sponsored by: GridQube

School: School of Electrical Engineering and Computer Science

Honouring the most technically impressive and well-engineered software solution, sponsored by GridQube.

Decompiler User Interface

by  Jesse Graf

Supervisor(s): Kirsten Winter, Robert Colvin

This project developed a dedicated, web-based graphical user interface for a decompiler project that addressed the critical need to visualise the intermediate representation. The decompiler transforms binary code in multiple passes, raising the level of abstraction in each. The user interface supports the developer of the decompiler to scrutinise the workings of the implemented transformations.

Forensics EPAS: Designed for law enforcement use, aimed at recovering encrypted data and system access

by  Tri Nhan Pham, Blake De Raat

Supervisor(s): Ryan Ko, Taejun Choi, Daniel van Niekerk

This study evaluated Detack’s EPAS (Passwords: Analytics, Compliance, Enforcement) software within the UQ Cyber Research Centre, focusing on its effectiveness in enterprise-level password security assessment. The EPAS platform was deployed on the UQ Cyber ASOC system and benchmarked against several widely used password attack and auditing tools. Performance was assessed across multiple criteria, i

Mathematical Analysis and Generation of Farey Fractals

by  Daniel Cottrell

Supervisor(s): Dr Shakes Chandra

This thesis explores Farey fractals, geometric patterns generated from Farey sequences of rational numbers. It investigates their formation, visual characteristics, and mathematical properties through computational simulation and fractal analysis, revealing how simple number-theoretic rules produce complex self-similar structures.

Mushroom Pet Pet

by  Grace Hsieh, Neil Chang, Carman Chan, Yuteng Niu, Tsz Fai Wong, Anthony Tang

Supervisor(s): Janet Wiles, Agnieszka Nowak

The goal of this project is to turn homegrown mushrooms into pets. Just like animals, mushrooms generate imperceptible electrical signals akin to neural activity. We aim to sonify these signals to improve homegrowers' understanding of mushrooms and incentivise interaction, which will help bring mushrooms closer to being a household pet.