Dr Eyad Elyan
|Biography||Dr. Elyan is a Reader at the School of Computing Science and Digital Media. His research in the area of machine learning and machine vision is primarily focused on creating novel methods to represent and extract knowledge from unstructured and structured data and applying it to solve industrial problems.
Eyad has attracted funds to support his research from different public funding bodies including Innovate UK, the Data Lab Innovation Centre and Oil and Gas Innovation Centre (OGIC), Historic Environment Scotland and Others. He is leading several projects with industrial partners across different domains including Oil and Gas, Construction, Sports Science, and Health.
He obtained his first degree in Computer Science in 1999. In 2004, he was awarded an MSc in Software Engineering with distinction from the University of Bradford-UK. In 2005, Eyad was granted a fully funded PhD studentship from the University of Bradford, and in 2008 he was awarded a PhD for his thesis on 3D modelling, representation and recognition of human faces.
Dr. Elyan is a Fellow of the British Higher Education Academy. He served as a Program Committee member for several international conferences and as a reviewer for several international journals in the area of machine vision, machine learning and data analytics.
|Research Interests||Machine Learning and Machine Vision (image classification, class-imbalance problem and video content analysis).|
|Teaching and Learning||Advanced Data Science Development, Data Science Development, Image Processing|
|Scopus Author ID||https://www.scopus.com/authid/detail.uri?authorId=35226184300|