-
This scholarship aims to develop practical methods for optimisaton in large supply chain operations. Ideally candidates should have strong AI, machine learning, and optimisation backgrounds
-
. Proficiency in programming languages (e.g., Python, MATLAB) and experience with machine learning or data analysis techniques would be advantageous. Excellent written and verbal communication skills, as
-
To address this limitation, this project aims to develop an innovative fatigue damage model that incorporates detailed defect characteristics using machine learning and multiscale modeling. High
-
treading that will enable efficient and reliable renewal of tyre in short time by machine learning driven printing method. This will be accomplished by developing novel 2D material based elastomer
-
This research project is to understand how machine learning can be exploited in the areas of target detection and tracking. Develop tracking expertise in a new student who can subsequently work
-
that relate to this PhD project: Computer Vision / Augmented Computer Vision Machine Learning Electronics mini/micro portable devices design UAV navigation and automation There are many fields that relate
-
the following knowledge and/or experience are highly preferred: Computer Vision, Signal Processing, Machine Learning knowledge and/or; Experience Industry knowledge and/or; A track record of published
-
The successful applicant will conduct research to design and develop novel machine/deep learning based trust technologies for securing IoT services/devices. The successful applicant will conduct
-
computer vision and machine learning methods to interpret the photovoltaic (PV) solar farm's condition and perform various inspections and anomaly detection. The research will draw from state-of-art
-
The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL