Honours and Masters project

Network visualisation (or 'graph drawing') algorithms allow us to see connections and patterns in a network clearly. There are a large number of such algorithms that depict ('lay out') networks 'nicely' - according to a set of well-established criteria. These criteria apply to neat diagrams - with clear straight (nor neatly bent or curved) lines ('edges').

This project will investigate how networks that have been sketched (with curved/ wavy lines) can be adapted so that they, too, can be assessed by typical graph layout criteria.

In this project, students and me will work together to develop a new technique for software testing and debugging. 

The subject under test may be AI/LLM. The technique may involve AI/LLM as well. 

In this project, we will conduct an empirical study to understand certain problems in software systems. 

Cybersickness (nausea, disorientation) due to exposure to virtual environments has long been a problem in virtual reality (VR) and has been shown to reduce the effectiveness of VR environments. It usually occurs due to mismatches between visual and vestibular (motion) cues, for example, when moving through a 3D environment using a joystick, which does not yield correct motion cues. There are several approaches to reducing cybersickness in VR, most notably, reducing the field of view ("tunneling") during motion, or discrete motion ("snapping" movement and rotation).

Multi-user virtual reality (VR) systems are becoming more common as these head-mounted displays (e.g., Oculus Quest, HTC Vive) become less expensive and thus more widely available. It is now feasible to have multiple users sharing a co-located VR space, and objects in the space. Traditionally, VR systems tend not to support the sense of touch, but recent advances in haptics (devices simulating physical objects) now make this possible.

Multi-user virtual reality (VR) systems are becoming more common as these head-mounted displays (e.g., Oculus Quest, HTC Vive) become less expensive and thus more widely available. It is now feasible to have multiple users sharing a co-located VR space, and objects in the space. We are interested in developing cross-platform multi-user VR systems, supporting hardware ranging from desktop computers to high-end head-mounted displays (Quest 3), to low-fidelity devices such as Google Cardboard. The latter introduces complex challenges in supporting user interaction in shared VR environments.…

This project investigates the technical dimensions of real estate asset tokenization, with a particular focus on the challenges of integrating blockchain technology into the real estate sector. While tokenization promises to enhance liquidity, efficiency, and transparency in property transactions, its practical implementation faces significant technological hurdles. The project will examine key issues such as data interoperability, smart contract design, secure digital identity management, and scalability of blockchain networks in handling complex real estate assets.

This project will investigate counter-unmanned aerial system (C-UAS) technologies for the detection and mitigation of malicious drones. With the increasing accessibility of small UAVs, there is a growing need for effective technical solutions to identify and neutralize unauthorized aerial threats. The project will explore a broad range of C-UAS methods, including but not limited to networking-based detection and coordination techniques, machine learning, and both active and passive mitigation approaches.

Digital provenance refers to the process of verifying and tracing the origins, lifecycle, and integrity of digital content. C2PA (Coalition for Content Provenance and Authenticity) is an initiative founded by multiple technology and media companies, aiming to address the increasing concern of misleading information and disinformation on the internet in the age of AI. The main objective of C2PA is to establish a standardized approach for digital content provenance, which essentially means tracing the origin and verifying the integrity of digital content.

This project aims to create a novel immersive visual analytics system to facilitate the exploration and insights generation of thousands of cultural heritage images. Criteria for students: