University of brighton
University
research.brighton.ac.uk/en/persons/yan-wangBrighton, United KingdomAbout
At the University of Brighton, we are committed to delivering a transformative educational experience that empowers our students and fosters innovation. Our diverse range of programs is designed to meet the needs of today's dynamic job market, blending academic rigour with practical experience. We pride ourselves on our strong connections with local businesses and industries, enabling us to provide valuable networking opportunities and collaborative projects that benefit both our students and partners. Together, we cultivate a vibrant community of learners, researchers, and thinkers dedicated to making a positive impact in society.
Data technologies, data ecosystems and cross-linking
Data ecosystems for the realisation of circular value creation exploiting the full potential of digitalisation – e.g., harnessing existing, purpose-built platform solutions.Interoperability of CVC-relevant data ecosystems, quality assurance and traceability across systems(AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths(AI based) process and system control technologies(AI based) Material and Product Design, Decomposition and SeparationSimulation models and predictive analytics to assess the scalability of circular processes across industriesAlgorithm that shows the (positive) impact of a Circular Economy process or Circular Economy productApproaches to support SME fully exploit the value of existing CVC-related dataDesign of an adaptable Digital Product Pass
Other enabling technologies
Manufacturing and machine learning, e.g., to increase the flexibility of industrial processes, modular approaches, reduce use of materials, quality assurance and certification of products)AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled componentsIndustry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chainsLife cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product PassportReverse Manufacturing (e.g. adaptive automation for high variance, sorting, sophisticated logistic systems)Tools and solutions addressing challenges emerging from product focused regulations (such as the ESPR)