Research

Our work involves the development of new tools, methodologies and approaches in a diverse range of sectors including engineering, the creative arts, government, healthcare, energy, manufacturing, retail and more.

Teesside University has a long history of digital innovation and economic impact both in academic research and through our Digital City programme, generating more than 200 new businesses, and adding more than £170 million per annum to the Teesside economy alone. Our research programmes with a range of global businesses and academic collaborators include: the development of digital tools for business intelligence and planning, enhanced Building Information Modelling (BIM) systems with new functionality such as energy use prediction and optimisation, healthcare and behaviour support tools such as effective obesity management and fitness apps, architecture and design tools using virtual environments, and ground-breaking use of the digital arts to challenge perceptions of disability.

 

Diverse research questions explored

Examples of some of the diverse research questions explored within this Grand Challenge theme are:

  • What will the future of technology look like?
  • How can we improve the quality of life/outcomes for individuals or vulnerable groups through the use of technology?
  • How will the advent of new digital technologies impact on jobs and businesses?
  • How can we best reap the benefits of making industrial/business products or processes more 'intelligent'?
  • How can we 'humanise' the digital world and make it a force for social good?
  • How might the creative industries of the future inform/be informed by digital technologies?
 

Expertise

Our work in this challenge theme draws on and is informed by work and expertise across all parts of the University, which includes amongst others:

Computer science and data analysis, artificial intelligence, electronics, sensors and control systems, social policy, design, digital health and telemedicine, healthcare technologies, decision support tools, psychology, human computer interaction, digital art, animation, virtual reality applications, simulation, intelligent gaming, gamification and social media.

 

Research leads

 
Dr Yingke Chen

Dr Yingke Chen

Yingke Chen received his PhD degree in the Department of Computer Science, Aalborg University in 2013. His research interests include Artificial Intelligence (in particular, multiagent learning and its applications in computer games) and Formal Methods (in particular, machine learning-based model checking). Most of his work appears in well-known AI/ML journals and prestigious AI/FM conferences.

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Dr Louisa J. Ells

Professor Louisa J. Ells

Professor Louisa Ells joined the University in May 2012 as Reader in Public Health and Obesity. She is a member of the Department of Women’s, Children’s and Public Health, and co-leads the digital and creative economy grand challenge. She is also a specialist advisor to Public Health England, an invited expert for the NICE Centre for Guidelines, and sits on the European Association for the Study of Obesity Nutrition working group.

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Professor Shengchao Qin

Professor Shengchao Qin

Professor Shengchao Qin is Professor of Computer Science and the Associate Dean (Research & Innovation) in the School of Computing and Digital Technologies. As a member of the senior executive team he is responsible for leading and developing the research and innovation in the School.

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