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Honours and Minor Thesis projects

Displaying 71 - 80 of 220 honours projects.


Primary supervisor: Lan Du

The performance of deep neural models rely on large amounts of labeled data, however, most data remain unlabeled in the real world scenario. While annotating data is expensive and time consuming, active learning seeks to choose the most appropriate and worthwhile data for human annotation. It is noticed that humans give labels to some specific data with some labeling reasons or rationales,  which are often existing in the data.  The goal of this research is to develop effective deep active learning techniques with rationales.

Primary supervisor: Jianfei Cai

Deep learning has achieved ground-breaking performance in many vision tasks in the recent years. The objective of this project is to apply the state-of-the-art deep learning based image classification/detection networks such as ResNet or Faster RCNN for classifying CT or X-Ray images.

Primary supervisor: Hamid Rezatofighi

In vitro fertilisation (IVF) is a process of fertilisation where an egg is combined with sperm outside the female body, in vitro ("in glass"). The process involves monitoring and stimulating a person's ovulatory process, removing an ovum or ova (egg or eggs) from their ovaries and letting sperm fertilise them in a culture medium in a laboratory. After the fertilised egg undergoes embryo culture for 2–6 days, it is implanted in the same or another person's uterus, with the intention of establishing a successful pregnancy [1].

Primary supervisor: Zhaolin Chen

Description:

Magnetic Resonance Imaging (MRI) stands as a cornerstone in medical imaging, providing non-invasive, high-resolution images of the human body's internal structures.  Brain tumor segmentation from MRI scans is essential for precise diagnosis and treatment planning. MRI provides detailed views of brain structures and abnormalities, but challenges like image noise, contrast imperfections and tumor variations can make segmentation difficult.

Primary supervisor: Lan Du

Traumatic brain injury (TBI) is an injury to the brain caused by an external force from incidents such as motor vehicle crashes, falls, assault or sports collisions. Almost seventy million individuals globally are estimated to suffer from TBI per annum [1], deeming it a major public health concern which is estimated to cost the global economy approximately $US400 billion annually [2]. Early identification of severe TBI with proper assessment and treatment lowers the risk of secondary injury and subsequent long-term disability and subsequent costs.…

Primary supervisor: Carsten Rudolph

People are continuously receiving unsolicited emails where phishers impersonate legitimate organisations or trusted sender to harvest victim credentials. The rapid advance of AI boosts recent automatic detection of phishing attempts but also provides hackers with the opportunities to build increasingly sophisticated phishing tactics to bypass the filter. While attackers leverage social engineering to exploit human weakness, human skills can be a powerful component in cyber defence such as cognitive function and professional judgment.

Primary supervisor: Mahdi Abolghasemi

Demand forecasting is the basis for a lot of managerial decisions in companies. During the last four decades, researchers and practitioners have developed numerous quantitative and qualitative demand forecasting models including statistical, machine learning, judgmental, and simulation methods.

Primary supervisor: Roisin McNaney

Voice assistants are software agents installed in devices such as phones, computers or tablets, or on purpose-built speakers. They are capable of interpreting human speech and, depending on the command they receive, can complete different tasks (e.g. tell the time or the weather, send and read text messages, make phone calls, set alarms, play music, and control various connected devices). Currently, one in five homes in the UK own a voice assisted speaker, a figure which is predicted to rise significantly. As many as 40% in the US own one.

Primary supervisor: Matthew Butler

Using digital technologies (such as 3D printing, soundscapes, beacon navigation), this project will explore the creation accessible cultural experiences for people who are blind or have low vision (BLV). Accessible materials and space design will be developed and evaluated to provide an evidenced-based framework for producing inclusive experiences with arts and culture, such as Art Galleries. Current partners include the Bendigo Art Gallery and Science Gallery Melbourne.

Primary supervisor: Delvin Varghese

As part of this project, you will work closely with a community organisation or NGO (this can either be an organisation that you have existing links with or we will connect you with one of our partner NGOs). Working in collaboration with the org, you will find out challenges they face in giving voice to their communities/beneficiaries that can be addressed through social media (for instance, perhaps they want to run an awareness raising campaign about the difficulties faced by the community and they want the communities to be very involved in this).