Dr George Wilson

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Emeritus Associate Professor
Faculty:
Faculty of Science and Engineering
School:
Computing and Information Science
Location:
Cambridge
Areas of Expertise:
Software development , Information and communications technology , Computer Science
Research Supervision:
Yes

George has taught many aspects of computer science (programming languages, distributed applications, spatial data processing, artificial intelligence) and has research experience in all these areas.

[email protected]

Background

Originally with a geosciences background, after periods of study in the UK and overseas George developed a teaching focus on object-oriented programming, distributed applications and artificial intelligence. His School responsibilities have included course leadership, timetabling, coordination of external income, research ethics lead and link tutor for an overseas partner institute. He has been a member of various committees at School and Faculty level (usually related to research) and has also contributed to successful professional accreditation and new course validation events. George retired in December 2024 with emeritus status and continues his involvement in research activities.

Research interests

Georges’ research interests and activities are broad and include Spatial Data Processing (geographic data, images); Artificial Intelligence (healthcare data analytics, financial market forecasting) and Computer Systems (network power management, computer architecture). He regularly reviews academic papers and has served as organising committee member with track chair responsibility for two international IEEE conferences (ISIE2017, INDIN2015). George is a member of our Computing, Informatics and Applications research group.

Areas of research supervision

George has supervised a number of research students to successful PhD completion (as first or additional supervisor) in the following areas: systems control, distributed applications and web services, software reliability, web semantics and security, virtual worlds, image processing for diabetic retinopathy and AI techniques in finance.

Teaching
  • Prior to emeritus status teaching has been mainly associated with BEng (Hons) Computer Science and MSc Information Communication Technology.
  • Specific teaching areas include high-level programming languages (C#, C/C++, Java, MatLab), Artificial Intelligence, Computer Graphics, Image Processing and Distributed Programming.
  • For many years George managed the delivery of all undergraduate final year projects across a number of computer science courses.
Qualifications
  • PhD Isotope Geochemistry, University of Bath, UK
  • MSc Geochemistry, University of Leeds, UK
  • MSc Computer Science, Anglia Ruskin University, UK
  • BSc (Hons) Geology, Aberystwyth University, UK
Memberships, editorial boards
  • Professional Member, the British Computer Society (MBCS)
  • Senior Fellow, the Higher Education Academy (SFHEA)
Research grants, consultancy, knowledge exchange
  • Lead Academic for Knowledge Transfer Partnership with AT Technology Services Ltd on use of Data Analytics to improve Healthcare Provision. Project awarded 'Outstanding' grade by Innovate UK in 2022.
  • Secured and managed three other UK/EU-funded Knowledge Exchange projects with industrial partners (KEEP/KTP), developing their Business Information Systems.
  • Occasional consultancy/educational training courses delivered externally.
Selected recent publications

Khanizadeh, F.; Ettefaghian, A.; Wilson, G.; Shirazibeheshti, A.; Radwan, T. and Luca, C. 2024. Smart Data-Driven Medical Decisions through Collective and Individual Anomaly Detection in Healthcare Time Series. International Journal of Medical Informatics; https://doi.org/10.1016/j.ijmedinf.2024.105696.

Fitzjohn, j.; Wilson, G., Vicinanza, D. and Winckles, A. 2024. An optimization of traditional CPU emulation techniques for execution on a quantum computer. Quantum Information Processing (Journal). DOI: 10.1007/s11128-024-04524-5.

Milke, V., Luca, C. and Wilson, G. B. 2024. Reduction of financial tick big data for intraday trading. Expert Systems: The Journal of Knowledge Engineering; http://doi.org/10.1111/exsy.13537.

Shirazibeheshti, A.; Ettefaghian, A.; Khanizadeh, F.; Wilson, G.; Radwan, T. and Luca, C. 2023. Automated Detection of Patients at High Risk of Polypharmacy including Anticholinergic and Sedative Medications. International Journal of Environmental Research and Public Health; Special Issue Editorial Board Members' Collection Series: Artificial Intelligence and Mathematical Modeling for Public Health—An Agenda for the Future, 20(12), 6178; https://doi.org/10.3390/ijerph20126178.

Recent presentations and conferences

Dinita, R.; Cirstea, M. and Wilson, G. 2023. Novel Autonomous Software for Enhanced Datacenter Operational Efficiency and Botnet Detection. IECON23 49th Annual Conference of the IEEE Industrial Electronics Society (IES). 16-19th October 2023, Singapore; paper 000627. 9pp. DOI: 10.1109/IECON51785.2023.10311667.

Chakraborty, A.; Wilson, G. B; Luca, C. and Biba, M. 2022. An Optimised Morphological Image Processing Method suitable for the Early Detection of Diabetic Retinopathy. 18th International Conference on Intelligent Computer Communication and Processing (IEEE ICCP), 22-24th September 2022, Cluj-Napoca, Romania. 6pp. DOI: 10.1109/ICCP56966.2022.10053986.