This project involves development of a machine learning based tool to ‘passively’ learn and measure organisational culture in real time using existing organisational data and propose positive cultural interventions.
Honours and Minor Thesis projects
Displaying 141 - 150 of 220 honours projects.
Primary supervisor: Waqar Hussain
Primary supervisor: Agnes Haryanto
Mental health is an ongoing issue in Australia. The cause of mental health can be due to a variety of reasons: workplace culture, high workloads, job insecurity, disparity in pay, lack of career advancement opportunities and turnover intentions. Mental healthcare workers are not able to cope with it and are suffering from burnout. There is a need to ease mental healthcare workers' workload and provide consistent patient triage with the help of technology. The project aim is to investigate the existing approaches and tools in facilitating mental health workers to perform efficient patient care…
Primary supervisor: Peter Stuckey
Mini-CP https://www.info.ucl.ac.be/~pschaus/minicp.html is a minimal form of constraint programming solver, designed to allow for easy experimentation and learning.
One of the most efficient approaches to discrete optimisation solving is using lazy clause generation, which is a hybrid SAT/CP approach to solving problems. But MiniCP does not currently support this.
Primary supervisor: David Taniar
This project is part of a larger project on Hand Hygiene, which aims to address hand hygiene in hospitals by combining a suite of digital monitoring products with advanced data analytics. We expect to create a system that monitors the full user journey and performs constant data analysis through a cloud-based system.
Primary supervisor: Mehdi Adibi
The aim of this project is to understand the computations underlying animals’ choice in dynamic and changing environments. The natural environment is multisensory, dynamic and changing, requiring animals to continually adapt and update their learned knowledge of statistical regularities in the environment that signal the presence of primary needs like water, food and mates. Yet, how the brain adapts and updates itself to the non-stationary and dynamic attributes of natural environments remains unexplored.
Primary supervisor: Julian Garcia Gallego
The tennis tour is a series of tennis tournaments played globally over a calendar year, where professional tennis players compete for prize money and ranking points. The structure of the tennis tour is organised into different tiers for both men and women, including grand slam tournaments and ATP/WTA tour events. In this project we use stochastic processes to model and simulate the tour under different experimental rules.
Primary supervisor: Hamid Rezatofighi
Visually discriminating the identity of multiple (similar looking) objects in a scene and creating individual tracks of their movements over time, namely multi-object tracking (MOT), is one of the basic yet most crucial vision tasks, imperative to tackle many real-world problems in surveillance, robotics/autonomous driving, health and biology.
Primary supervisor: Lizhen Qu
Chatbots for mental health are shown to be helpful for preventing mental health issues and improving the wellbeing of individuals, and to ease the burden on health, community and school systems. However, the current chatbots in this area cannot interact naturally with humans and the types of interactions are limited to short text, predefined buttons etc. In contrast, psychologists in real-world interact with patients with multiple modalities, including accustic and visual information.
Primary supervisor: Roberto Martinez-Maldonado
The research challenge for this project is to research, prototype and evaluate approaches to automatically capture multimodal traces of team members’ activity using sensors (such as indoor positioning trackers, physiological wristbands and microphones), using learning analytics techniques to make sense of sensor data from healthcare contexts. Depending on the trajectory that you take, examples of the questions that such a project could investigate include:
Primary supervisor: David Wright
Chemical exchange saturation transfer (CEST) MRI provides images of molecular information and has recently been used for the detection of malignant brain tumors and the assessment of muscle tissue in cardiac infarction. Additionally, CEST has also been used to assess changes in a neurotransmitter -glutamate (Glu)- in both brain and spinal cord and has shown potential in a number of diseases including Alzheimer’s-like dementia, Parkinsonism and Huntington’s Disease and Motor neuron diseases.