Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
targets the development of advanced coatings to prevent cell-to-cell propagation during runaway events. It combines experimental studies, numerical modelling, and real-world burner rig testing, culminating
-
and kinematic models with machine-learning-based channel state information (CSI) prediction to enable robust, low-latency connectivity across multi-layer NTN systems. This PhD project sits
-
to undergo a BPSS check prior to commencing the role, with the expectation of undergoing and holding SC level of security clearance once the role has commenced. About Us As a specialist postgraduate university
-
model development, multi-agent decision-making in autonomous systems, advanced perception, and cognitive human-machine interface that support the human users. Candidates will have the opportunity
-
health management (IVHM) system that leads to enhance safety, reliability, maintainability and readiness. Generally, prognostics models can be broadly categorised into experience-based models, data-driven
-
of novel AM materials on corrosion response of key component and develop a model to predict their behaviour. To address the goals set for tackling international climate change, the power sector needs
-
recovery in critical applications, including aerospace, healthcare, and industrial automation. Research Focus Areas: Predictive Analytics for Fault Detection: Develop AI models that predict potential system
-
reliability and maintenance strategies. Filter Rig: An experimental setup to study filter clogging phenomena, allowing for the collection of data to develop and validate prognostic models for filter
-
revealed a strong relationship between the flow structures and the pollutant concentrations in the wake of simplified vehicle models. Different wake flow features (such as vortices, shear layers, and the
-
. The project delves into areas such as hardware-based security measures, tamper detection, and the integration of explainable AI models within embedded platforms. Situated within the esteemed IVHM Centre and