Dr Eyad Elyan is a Reader at the School of Computing and Digital Media at Robert Gordon University and he is leading the Machine Learning and Vision Applications Research theme. His primary research interests are in machine learning and machine vision.

He obtained his first degree in Computer Science in 1999 from Al Quds University in Palestine. 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 modeling, representation, and recognition of human faces. 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. A typical example of these projects is the collaborative work with DNV GL between the years 2017 to 2019, which was funded, by Data Lab, and OGIC. The project resulted in developing and applying cutting edge technologies to automatically analyse and process complex engineering drawings (P&ID diagrams). More about this project can be found at https://www.youtube.com/watch?v=plO_4agaVCw&feature=youtu.be

Dr. Elyan is a Fellow member 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.