Energy dissipation in human soft tissue during impacts
Project Description Full-time: 3 years Part-time: 6 years Start date: July 2022 When people get hit or hit things, including locomotion, the transient forces involved are normally high and produce mechanical shocks when compared to active muscularly directed human motion. As well as changes in surface shape and inertial properties of limbs this also leads […]
Exploring the impact of microplastic-bacterial complexes on animal health and the gut microbiome
Project Description Plastic pollution is a global issue and rapidly emerging as a crisis for both environmental and human health. Exposure to microplastics (MPs) impacts every level of the food chain with MP ingestion causing alteration of feeding activity, decreased food assimilation, stunted animal growth with negative impacts on fertility and reproduction. Perturbation of the […]
Computer Vision with Deep Learning for Human Data Modelling
Project Description This project focuses on deep learning algorithms to model human data such as human images/video, 3D skeletal motion, 3D body/facial surfaces for recognition, prediction and reconstruction. The Project: With the recent advancements in deep learning and machine learning frameworks using artificial neural network, computers have become smarter than ever in understanding images, video […]
Observing the black hole mergers in the early universe with next-generation gravitational wave observatories
Project Description The Einstein Telescope and Cosmic Explorer are proposed next-generation gravitational-wave observatories which will be able to detect black hole mergers throughout the observable universe. Thus, observations of black hole mergers have the potential to provide insights into the formation of the first stars, and of the seed black holes which grow to form […]
The role of Myh10 (Non-Muscle Myosin IIB) in epicardial-myocardial cross talk during coronary vessel development
Project Description During cardiac development the coronary vessels form from the epicardium, which is the outer epithelial cell layer of the heart. Formation of the coronary vasculature is a critical event in cardiac development, since the vasculature is required to nourish the cardiac muscle and maintain cardiac function throughout life. We have recently discovered that […]
Machine Learning for Autonomous Robot Exploration
Project Description A PhD project is available to work with Dr Pascal Meissner in the School of Engineering at the University of Aberdeen on one of today’s most relevant research problems at the intersection of autonomous robotics, machine learning, computer vision, and artificial intelligence. Learn as you help robots see, learn, and navigate! As mobile […]
Deep Learning based Computer Graphics for Creating Virtual Characters
Project Description This project aims at modelling human motion and body/facial shape data with deep neural network to synthesize virtual characters for computer graphics, animation and games. The Project With the advancement of machine learning and artificial intelligence, computer-generated graphics and animation have become more realistic than ever. In this project, you will research on […]
Detecting subtle but clinically significant cognitive change in an ageing population
Project Description A major challenge facing dementia research is identifying the earliest indicators of clinically-significant cognitive decline. This research project will be linked to the newly established Memory Assessment & Cognitive Ageing Research Unit (MACARU), led by the primary supervisor. This provides the opportunity to follow the cognitive and other functional changes in a large […]
Influence of exercise and/or nutrition on bone and cartilage metabolism
Project Description There is substantial evidence that exercise is associated with lower risk of osteoporosis and is also beneficial in the prevention and management of osteoarthritis. Questions that still need addressing include the effects of specific exercise modalities (e.g. resistance versus impact exercise, higher versus lower velocity etc); interactions with nutrient availability; and mechanisms by […]
Discovery of high-temperature superconductors using Deep Learning
Project Description High temperature superconductivity has great promise to transform society through the transmission of electricity with zero resistance, though the underlying physics is complex and difficult to predict from first principles, and the space of possible materials is large and equally complex. Machine learning methods have been successfully applied to many complex problems, and […]