Professor George Ghinea
Professor - Mulsemedia Computing
Wilfred Brown Building 215
- Email: george.ghinea@brunel.ac.uk
- Tel: +44 (0)1895 266033
Summary
I am a Professor in the Department of Computer Science at Brunel University London. I obtained my BSc. Degree with Computer Science and Mathematics majors from the University of the Witwatersrand, South Africa. I later went on to obtain BSc. (Hons.) and MSc. Degrees, both in Computer Science, from the same university. I was awarded my PhD – Quality of Perception: An Essential Facet of Multimedia Communications - from the University of Reading, UK, in 2000. In it, I proposed the Quality of Perception metric, a precursor of the Quality of Experience (QoE) concept now widely known. However, whilst QoE is still a concept, QoP is a concrete metric. Thus, recognising the infotainment duality of multimedia, QoP not only characterises the subjective enjoyment associated with experiencing multimedia presentations, but also how such presentations aid a person\'s ability to assimilate informational content.
My research activities lie at the confluence of Computer Science, Media and Psychology. In particular, my work focuses on the area of perceptual multimedia quality and how one builds end-to-end communication systems incorporating user perceptual requirements. I have applied my expertise in areas such as eye-tracking, telemedicine, multi-modal interaction, and ubiquitous and mobile computing. I am particularly interested in building human-centred e-systems, particularly integrating human perceptual requirements. My work has been funded by both national and international funding bodies – all of it being collaborative work with other teams and stakeholders I have been privileged to be involved with. I have also been honoured to supervise 33 PhD students to completion and to have published over 350 high-quality research articles with them and other research collaborators.
Currently, my research pursuits are centered on extending the notion of multimedia with that of mulsemedia – a term which I have put forward to denote multiple sensorial media, ie. media applications that go beyond engaging the by now traditional auditory and visual senses, engaging three of our other human in a realistic manner akin to our experiences of everyday life.
Qualifications
Postgraduate Certificate (Teaching and Learning in Higher Education)
- 2001-2002, Brunel University, United Kingdom)
PhD. (Computer Science)
- 1996 - 1999 , University of Reading, United Kingdom
- Dissertation Title - “Quality of Perception - an Essential Facet of Multimedia Communications”
M.Sc. (Computer Science) with Distinction
- 1995 - 1996, University of the Witwatersrand, S. Africa
BSc. (Hons) (Computer Science) with Distinction
- 1994, University of the Witwatersrand, S. Africa
BSc. (Computer Science, Mathematics) with Distinction
- 1991 - 1993, University of the Witwatersrand, S. Africa
Responsibility
Director of Research, Computer Science Department
Newest selected publications
Droutsas, N., Spyridonis, F., Daylamani-Zad, D. and Ghinea, G. (2024) 'Web accessibility barriers and their cross-disability impact in eSystems: A scoping review'. Computer Standards and Interfaces, 92. pp. 1 - 22. ISSN: 0920-5489 Open Access Link
Abreu, R., Santos, JD., Ghinea, G. and Muchaluat-Saade, DC. (2024) 'Assessing Usefulness, Ease of Use and Recognition Performance of Semi-Automatic Mulsemedia Authoring'. ACM Transactions on Multimedia Computing, Communications, and Applications, 0 (ahead of print). pp. 1 - 19. ISSN: 1551-6857 Open Access Link
Jat, AS., Gronli, T-M. and Ghinea, G. (2024) 'Navigating Design Science Research in mHealth Applications: A Guide to Best Practices'. IEEE Transactions on Engineering Management, 0 (early access). pp. 1 - 14. ISSN: 0018-9391 Open Access Link
Jat, AS., Grønli, T-M. and Ghinea, G. (2024) 'Review of Deep Learning Models for Remote Healthcare', in Younas, M., Awan, I., Petcu, D. and Feng, B. (eds.) Mobile Web and Intelligent Information Systems. MobiWIS 2024. Cham : Springer. , 14792 LNCS. pp. 204 - 219. ISBN 10: 3-031-68005-7. ISBN 13: 978-3-031-68004-5.
Dutta, N., Patole, SP., Mahadeva, R. and Ghinea, G. (2024) 'Federated learning framework for prediction based load distribution in 5G network slicing'.IC3 2024: 2024 Sixteenth International Conference on Contemporary Computing. ACM. pp. 421 - 426.