Winchester Numerical and Technology Solutions (WINTS)

About WINTS

Launched in September 2021, this new multi-disciplinary centre brings together world-leading expertise from across the Department of Digital Technologies, the wider University and external partners to undertake research and knowledge exchange projects within applied mathematics and computing and their engineering applications.

Promoting cross-disciplinary research linking science and society, WINTS seeks to make a positive impact on society and industry by providing sustainable solutions to real-world problems within our areas of expertise. 

Our areas of expertise

• Artificial Intelligence and Machine Learning
• Combinatorics
• Computational Methods
• Cybersecurity
• Data Science and Statistical Analysis
• Digital Forensics
• Economics and Econometrics
• Game Theory
• HCI and Technology-Enhanced Learning
• Surrogate modelling
• Software Engineering
• Smart Homes
• Topology
• Vehicle Dynamics

WINTS Convener Dr Mamadou Bah and Faculty Head of Research and Knowledge Exchange Prof. Maria Burke at the WINTS launch

Centre aims

• To establish a proven research pedigree, including collaborative work with industry and national, European and international research initiatives.
• To become a research hub for emerging vehicle dynamics research: world-wide predictions of wheel misalignment and design of alerting systems that suit all types of vehicles and reduce CO2 emissions, in partnership with RL Automotive.
• To further the University’s Strategic partnership with the NHS, to set-up a Winchester-based platform for medical applications of computer modelling.
• To become a centre of excellence for large data analysis, statistical modelling and computation to explore ways to address the UN Sustainable Development Goals (SDGs) in line with the University's Strategic Vision 2020-2030 and the Research and Knowledge Exchange Strategy 2020-2030.
• To produce world-class research in relation to the design, development, implementation and evaluation of Technological Solutions.
• To stimulate research-driven teaching practices, both to bring research impact into the classroom and to develop innovative practices for Science, Technology, Engineering, and Mathematics (STEM) education.

Background image by Tima Miroshnichenko on Pexels, representing computer hacking.