Studies on semitrailer stability and control development
Enhance articulated vehicle stability through trailer analysis, driver impact study, and universal control strategy development. Utilize learning-based MPC and torque vectoring. Validate with simulations and scaled prototypes, progressing to full-scale experiments for practical validation.
Data-driven framework for Sequential Decision Making in Operations Research
This project aims to develop a general parameterized Sequential Decision Making (para-SDM) framework for operations research (OR) problems. One of the important constituents of this framework will be a reinforcement learning (RL) paradigm that efficiently learns high quality solutions from data.
An Innovative Foundation System for Lightly Loaded Buildings on Expansive Soils
Expansive soils, typically found in India and Australia, undergo volume changes due to changing weather conditions, which can cause damage to infrastructure and buildings. The aim of the project is to develop a new foundation system that reduces the impact of these deformations on buildings.
Beliefs and Attitudes Towards Intercaste Marriages in India
Taking a social psychological perspective and employing an intersectional lens combining caste, class, and gender, this project aims to investigate beliefs and attitudes towards intercaste marriages in India.
Exploring non-equilibrium dynamics in an open quantum system with programmable arrays of single atoms
This experimental PhD project will develop protocols for operating quantum machines built from arrays of single atoms. The aim is to generate and utilise many-body coherence and entanglement, via control of dissipation and interactions, to demonstrate a quantum advantage beyond classical limits.
Investigating the role of Artificial Intelligence in supporting healthcare worker mental health
The prevalence of mental health challenges in healthcare workers including nurses, doctors and allied health professionals has been steadily increasing. This project will investigate the role of Artificial intelligence (AI) in supporting healthcare workers’ mental health.
Planning for safe and efficient operations of an aerial-platform based semiautonomous pre-harvest crop inspection system
We propose to develop computational foundations for generating conflict-free and efficient motion plans for the inspection of crops using multiple aerial robotic platforms. Moreover, energy-efficient trajectories should be utilized to minimize vehicles’ recharging time by considering wind patterns...
Associate professor Jen Jen Chung
School of Information Technology and Electrical EngineeringFunctional Materials for Advanced Zinc ion Batteries
Zinc ion rechargeable batteries (ZIBs) are promising as grid-scale energy storage systems, however, challenges persist regarding their efficiency and cycling stability. This project aims to develop functional materials to improve the electrochemical performance.
Associate professor Bin Luo
Australian Institute for Bioengineering and NanotechnologyRedefining Boundaries: The Impact of Generative AI in Organizations
Delving into the academic fields of information systems and management, specifically where technology meets organizationsthis project will examine how organizations adopt, adapt to and manage generative AI.
Treatment-resistant depression and chronic pain comorbidity: Cognitive-affective decline, neuroprotective factors and neurodegeneration risk (Alzheimer’s disease)
This interdisciplinary project in Health Neuroscience aims to explore potential neuroprotective factors in age-related cognitive-affective decline, gather insights to brain-cognition link and understand the neurodegeneration due to neurological and psychiatric comorbidities.