Urban air pollution is a critical global issue that negatively affects public health and the environment. Traditional air quality monitoring relies on physical monitoring stations, which are limited in geographic coverage and expensive to maintain. T... Read More about Colours-of-the-Wind (COLD): A novel framework for image-based air quality prediction using deep learning and spatial-temporal analytics.
All Outputs (6)
Head-mounted display based teleoperation of a humanoid robot surrogate for users with life-limiting illnesses (2025)
Thesis
Individuals with life-limiting illnesses are at an increased risk of social isolation, and this became particularly evident during the COVID-19 pandemic. Social robots are often used to provide companionship, but are rarely used to facilitate social... Read More about Head-mounted display based teleoperation of a humanoid robot surrogate for users with life-limiting illnesses.
3D-printed object authentication using micro and macro surface textures and geometric features (2024)
Thesis
As the speed, quality, and affordability of additive manufacturing (AM) processes improve, more organisations and consumers are adopting the technology. Customising products, localising production, and lowering logistics are just a few of the primary... Read More about 3D-printed object authentication using micro and macro surface textures and geometric features.
Motivating programming language design for digital lutherie (2024)
Thesis
Digital lutherie is a sub-domain of digital craft focused on creating digital musical instruments: high-performance devices for musical expression. It represents a nuanced and challenging area of human-computer interaction that is well established an... Read More about Motivating programming language design for digital lutherie.
Diagnosing and remediating mathematical common student errors in e-assessment questions (A case study) (2023)
Thesis
Mistakes and misconceptions in mathematics are as common as those in any real life situation. The errors frequently made by a myriad of students, known as Common Students Errors (CSEs), heavily influence their ability to learn and retain mathematics.... Read More about Diagnosing and remediating mathematical common student errors in e-assessment questions (A case study).
Art and design practices as a driver for deformable controls, textures and screen interactions (2022)
Thesis
In this thesis, we demonstrate the innovative uses of deformable interfaces to help de-velop future digital art and design interactions. The great benefits of advancing digital art can often come at a cost of tactile feeling and physical expression,... Read More about Art and design practices as a driver for deformable controls, textures and screen interactions.