#mathematics

Prediction of molecular interactions with RNA using AI

This Project will develop deep-learning models to predict interactions of ribonucleic acid (RNA) with other molecules. The expected outcomes are to improve prediction capabilities to decode RNA interactions in disease mechanisms, identify novel therapeutic modalities, and improve existing therapies for targeting RNA. This could result in enhanced capacity to design new therapies and potential to optimise RNA targeting molecules for therapeutic applications. 

Resilient and quantum-safe threshold cryptography

This Project will design quantum-safe threshold encryption and/or authentication algorithms. The expected outcome is the design of methods, techniques and their software prototype to implement quantum-safe threshold encryption and/or authentication algorithms. The potential benefit is to enhance the security of Australian critical infrastructures, safeguarding them against quantum attacks.

Enabling Post-Quantum Cryptography (PQC) Migration

This Project develops techniques for the migration to post-quantum cryptography (PQC) to secure critical infrastructure from quantum attacks. The expected outcome is the design of methods, techniques and their prototype to implement trusted PQC migration. The potential benefit is to enhance the security of Australian critical infrastructures against quantum attacks

Optimizing NatHERS (Nationwide House Energy Rating Scheme)

This Project aims to improve NatHERS Whole of Home ratings by developing mathematical models for heating and cooling appliances. Expected outcomes are an assessment of various heating and cooling appliances and insights into the most appropriate heating and cooling solutions tailored to specific climate zones. The potential benefit is to enhance the overall energy efficiency and thermal comfort of residential spaces nationwide. 

Improving infrastructure risks using satellite radar (InSAR) monitoring with GNSS sensor systems

The objective of this project is to develop and test new methods to integrate next generation satellite radar (InSAR) monitoring for ground motion with Global Navigation Satellite Systems (GNSS) positioning devices. This will focus on test sites where the student will investigate the optimal methods for combining multi-satellite InSAR with a network of Kurloo GNSS devices to provide robust 3D ground motion monitoring from space. The potential benefits may include the development of near-real time 3D hazard monitoring for critical infrastructure, extending to pre-collapse alerts, thus reducing the risk of catastrophic events.