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Making deep learning and AI skills mainstream in India

Making Deep Learning and AI skills mainstream in India to fulfill trilateral needs of entrepreneurship, Industry academia partnership and application-inspired Engineering Research

There is an immediate need to expand the number of people who can innovate and sustain the ongoing revolution in Artificial Intelligence Applications. This can be achieved if there are more institutions that are willing to adopt the new skills into their ecosystem and produce more trained professionals. Along with this, they should usher into new-age research which will help to bring buoyancy into their overall motivation and confidence to bring more quality and progressive practices for a systemic change. This will also bring the partnering colleges to interact with each other and make broader groups to handle the pressing problems in this domain. The flow of knowledge, innovation and skills will be two-way involving the Engineering Community and academic institutions involved.


Meet the Principal Investigator(s) for the project

Professor George Ghinea - 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 21 PhD students to completion and to have published over 250 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.

Related Research Group(s)

Interactive Multimedia Systems

Interactive Multimedia Systems - Building sensor and media-rich, cross-layer, inclusive e-systems, with an interest in human-machine interaction, sensorial-based interfaces, data visualisation and multimedia.


Project last modified 12/07/2021