Mr Markos Mentzelopoulos

Mr Markos Mentzelopoulos


Mr Markos Mentzelopoulos received his BEng in Electronics Systems Engineering (2000) and MSc in Broadband and Mobile Communication Networks degree (2002) from the University of KENT at Canterbury.  He is currently holding a position as a Senior Lecturer for the Computer Science Department in the Faculty of Science and Technology at the, University of Westminster since August 2002. His research interest include:  Content based sports video analysis and retrieval, semantic event detection, statistical methods and pattern recognition techniques for classification and modelling, tracking and recognition, man-machine interfaces, and serious games design. Markos has published articles in conferences and Journals and served as a program committee member in several international conferences within the multimedia and neural network scientific community such as IJCNN, ACM, ACVR etc.,He has also industrial experience as Program Analyst and Developer with Glaxo Smith Kline (G.S.K -2006).


Member of the Computational Vision and Imaging Technology Cluster at the University of Westminster. Research interests and contributions focus in the areas of visual information retrieval, pervasive computing, games (serious games+AI for Games) and Augmented Reality using devices such as Microsoft kinect, Leap Motion and Oculus Rift for pervasive interaction. 

Published peer reviewed articles in journals and conferences within the machine vision, multimedia, and neural network scientific community, e.g. Neural Networks, CIVR, IJCNN, MIR, ACCV, SIGDOC, MSGCI etc. Served as program committee member and reviewer in several IEEE and ACM conferences.

Chairman and Organiser for the following Workshops:

 - Virtual Reality and Advanced Interfaces Workshop - IEEE

Interests: Computer vision, video retrieval, content-based analysis, Pervasive Gaming,Serious Gaming, Tracking and Recognition, Unsupervised Learning, Augmented Reality and Mobile Games


  • Computational Vision and Imaging Technology

In brief

Research areas

Computer Vision, Pattern Recognition, Bioinformatics, Computer Games Development, Virtual & Augmented Reality, AI for Games, Big Data Understanding and Image and Video Processing

Supervision interests

Computer Science, AI in Games, VR/AR, Games Design & Development and Image & Video Understanding