Winchester Numerical and Technology Solutions (WINTS)
From Smart Homes to Cybersecurity, WINTS aims to link science and society to provide sustainable solutions to real-world problems.View content
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
- Computational Methods
- Data Science and Statistical Analysis
- Digital Forensics
- Economics and Econometrics
- Game Theory
- HCI and Technology-Enhanced Learning
- Surrogate modelling
- Software Engineering
- Smart Homes
- Vehicle Dynamics
WINTS Convener Dr Mamadou Bah and Faculty Head of Research and Knowledge Exchange Prof. Maria Burke at the WINTS launch
• 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.
Meet the team
University of Winchester members
Academic staff members
Dr Claire Ancient, Senior Lecturer in Computer Science
Dr Sakib Anwar, Lecturer in Economics and Finance
Dr Abdul Badwan, Lecturer in Computer Systems and Innovation
Dr Jorge Bruno, Senior Lecturer in Mathematics
Steve Cross, Lecturer in Digital Media Development
Dr Richard Gunton, Lecturer in Statistics
Prof. Tim Hall, Professor of Interdisciplinary Social Studies
Dr Plamen Ivanov, Lecturer in Economics and Banking
Wioleta Kijewska, Lecturer in Mathematics
Dr Jing Lu, Senior Lecturer in Data Analytics
Dr Paolo Pareti, Lecturer in Computer Science
driana WildeAdriana Wilde, Lecturer in Computer Science and Cyber Technology
Paul Wilson, Senior Lecturer in Digital Media (Design and Technology)
Sk Hassan Mahathi