Knowledge Transfer Partnership
Working with Lyons Davidson to establish an automated legal advice helpline utilising complex Artificial Intelligence that can deliver suitable solutions to a wide-range of possible enquiries.
His interests include computational intelligence, machine learning, and interactions between humans and intelligent systems. The quality and impact of his research on interactive and adaptive AI is evidenced by citation metrics, (over 13000 citations to his work as at 16/8/21) through awards like 2001 ACM-SIGEVO prize for papers ‘deemed to be seminal’, membership of various IEEE Technical Committees and Task Forces, membership of the EPSRC peer review college, and editorial boards of leading academic journals in relevant fields.
In 2018 he contributed an invited chapter on the role of AI within Confidentiality and Linked Data to the National Statistician’s Quality Review. More details can be found on his website.
Business/Sector Interests and a brief description of how your academic expertise could be practically applied for a business partner
Professor Smith has led numerous successful projects concerning the hybridisation of metaheuristic approaches with machine learning, and mathematical approaches funded by the EU, EPSRC, DSTL, other governmental agencies from the UK, US and Brazil, and commercial partners.
His experience in delivering successful projects in commercial environments, includes applying AI to areas such as adaptive vision-based production quality control, interactive design optimisation, characterising Video Conference Meetings, privacy preservation in published official statistics, modelling customer behaviours, and speech recognition.
Jim has led three KTPs to successful completion (one ‘good’, one ‘outstanding’ and one under review) and a fourth is already delivering value to company, associate and UWE’s research agenda.
For more information about Professor Smith’s work please click here
For further information about Knowledge Transfer Partnerships please click here