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Data governance for process mining

Data is the new asset for organisations. Due to technological developments, organisations are faced with insurmountable amount of data. Analysis of this data provides endless transformative opportunities and contributes to the organisation's strategic decision making. However, the challenge is to derive maximum value from data.Data governance refers to a collection of practices and processes that enables an organisation to manage its internal and external data. Data governance assists in formulation of a corporate wide program that assists in making data …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Information Systems

A new physics informed machine learning framework for structural optimisation design of the biomedical devices

The machine learning based computer modelling and simulation for engineering and science is a new era. The optimisation analysis is widely used in the design of structures.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies
Centre for Biomedical Technologies

Analysing regulatory frameworks and ethical guidelines for artificial intelligence

The project consists of a literature review on AI ‘regulations’ (i.e. any initiative from ethical guideline/framework to regulation), of which many instances have evolved in recent years. IEEE, EU, OECD, OpenAI, IBM and many others have published ethical and regulatory frameworks on AI. The goal of the project is to systematically analyse these initiatives in terms of what they try to control, protect, suppress or support (e.g. the humans that develop them, technology itself, users, financial/political institution’s power over it, …

Study level
Vacation research experience scheme
Faculty
Faculty of Business and Law
School
School of Law

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