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Professor Sheng-feng Qin

Professor

Department: Northumbria School of Design, Arts and Creative Industries

Professor Qin joined Northumbria School of Design in 2014. He was 2019 Newton Prize recipient based on his collaborative research work with Professor Cuixia Ma at the Institute of Software of Chinese Academy of Sciences on Transforming Service Design and Big Data Technologies into Sustainable Urbanisation.

Prior to this appointment, he worked as a Senior/Lecturer in Department of Design at Brunel University (2001- 2013), a Post-Doctoral Research Fellow (2000-2001) at University of Loughborough, a Research Assistant in the School of Product Design of Cardiff Metropolitan University (1998-1999). He was an Academic Visitor at the University of Birmingham (1996-1997) from East China Jiaotong University.

His research interest is broadly in digital design and manufacturing methods and technology for product-service systems. Early work includes design optimization, Computer Aided Design and Manufacturing (CAD/CAM), sketch-based modelling and interfacing, gesture-based modelling and interfacing, design process and team management.

At Northumbria University, Professor Qin has established the Smart Design Lab (SDL), leading design research into future smart products, services and interconnected systems design by applying cutting edge smart technologies and smart multi-disciplinary design research methods/tools. 

Recent research is focused on planet/impact centred design theory, AI and Data-driven smart design methods, design for the product life cycle, design for ecosystem, crowdsourcing and digital twin-based design methods for smart manufacturing, railway, city, product, service, and well-being system.

Recent research projects are funded by UKRI, China Scholarship Council (CSC), British Council, British Academy, industry and charities, including

Professor  Qin is currently the Director for our MA Design Programme, teaching research principles and methods for this programme.

He is the Editor-in-Chief for  International Journal of Rapid manufacturing, and an Associate Editor for International Journal of Design Engineering.

Prof. Qin has published more than 200 papers in journals and conferences and 2 books. His publication profile can be found on Google Scholar and his ORCID.

Sheng-feng Qin

Campus Address

Northumbria School of Design
Northumbria University, City Campus East
Newcastle Upon Tyne
NE1 8ST

Reserach Themes: Design+Business and Publics

Scholarly Interests:

Digital Design Technology, Smart Product and Service Design, Design Optimization, Digital Manufacturing, Smart Cities, Design for Emotion, Crowdsouring Product and Service Design and Development

  • Please visit the Pure Research Information Portal for further information
  • Advanced Autonomous Vehicle Acceptance Model (AAVAM) for Promoting Accessible Travel, Chen, L., Yang, L., Luan, X., Yang, L., Song, Y., Qin, S. 28 Aug 2024, The 29th International Conference on Automation and Computing (ICAC2024), Piscataway, US, IEEE
  • A Dynamic Configuration Design Method Based on Cloud Model and Deep Reinforcement Learning, Li, R., Zhang, H., Qin, S., Yang, H., Zhang, Y. 28 Aug 2024, 2024 29th International Conference on Automation and Computing (ICAC), Piscataway, US, IEEE
  • A Generative City Digital Twin System for Flooding Emergency Management in Smart City, Ge, C., Qin, S. 28 Aug 2024, 2024 29th International Conference on Automation and Computing (ICAC), Piscataway, United States, IEEE
  • A multi-target regression-based method for multiple orders remaining completion time prediction in discrete manufacturing workshops, Liu, M., Zhang, J., Qin, S., Zhang, K., Wang, S., Ding, G. 17 Nov 2024, In: Measurement: Journal of the International Measurement Confederation
  • An application-oriented digital twin framework and the multi-model fusion mechanism, Zheng, Q., Ding, G., Zhang, H., Zhang, K., Qin, S., Wang, S., Huang, W., Liu, Q. 1 Nov 2024, In: International Journal of Computer Integrated Manufacturing
  • A new description model for enabling more general manufacturing systems representation in digital twin, Xie, J., Jiang, H., Qin, S., Zhang, J., Ding, G. 1 Feb 2024, In: Journal of Manufacturing Systems
  • A shop floor modelling and co-simulation approach for online production progress evaluation, Liu, M., Yang, H., Zhang, J., Qin, S., Fu, J., Ding, G. 28 Aug 2024, The 29th International Conference on Automation and Computing (ICAC2024), Piscataway, US, IEEE
  • Challenges in Conducting Co-Creation Workshops to Study Net Zero Understandings, Initiatives and Sustainable Design Futures with Grassroots Communities - A Case Study, Barron, L., Zhu, Z., Qin, S. 2024, In: Procedia CIRP
  • Crowdsourcing and Crowdsensing as Smart Rural Service Platform Technology, Qin, S., Niu, X. 27 Jun 2024, Digital Transformation with AI and Smart Servicing Technologies for Sustainable Rural Development, Boca Raton, US, CRC Press
  • Digital Transformation with AI and Smart Servicing Technologies for Sustainable Rural Development, Qin, S., Wang, H., Ma, C. 27 Jun 2024

  • Congying Guan Prototyping a novel apparel recommendation system: A feasibility study Start Date: 23/06/2014 End Date: 11/06/2018
  • Chenyu Ge Exploring a digital twin-based smart transportation system services towards smart cities Start Date: 01/03/2022
  • Kai Xu Bringing Computational Design and Rapid Prototyping to Upper Limb Prosthetic Socket Design and Manufacturing Start Date: 01/10/2019 End Date: 25/10/2024
  • Liying Yang Design of an emotion forecast tool based on keystroke and mouse dynamics for bettering individual well-being and design teamwork performance Start Date: 01/10/2020
  • Ziwen Zhu Design for individual emotion regulations from a designer’s perspective Start Date: 01/10/2020
  • Xiaojing Niu Feasibility investigation of crowdsourcing-based product design and development for manufacturing Start Date: 01/03/2017 End Date: 29/06/2021
  • Yuqing Zhang How to Reduce the loneliness of elderly adults living alone via Smart Service design at home? Start Date: 01/10/2024
  • Xiaoming Dong Building Digital Replicas of Unpaid Carers to Better Meet Community Needs: exploring the use of Personal Digital Twin (PDT) technology to provide responsive, personalized digital services to unpaid carers in Gateshead to improve community wellbeing Start Date: 01/10/2022

Professor Qin is an associate member of The Design Lab at UC San Diego since his visit to the Design Lab in 2016-2017 under the Leverhulme International Fellowship. 

Profsessor Qin is also a Visiting Professor to Southwest Jiaotong University of China on Digital Design and Manufacturing (2014-) and a Co-Coordinator of the Joint Design Innovation Lab with Northwestern Polytechnical University of China (2017-).

Professor Qin is an Associate Editor of International Journal of Design Engineering (Inderscience Publishers) and Journal of Systems Science & Control Engineering (Taylor & Francis Online).

 

  • Craft, Design andTechnology PhD February 29 2000
  • Computer Aided Engineering May 01 1988
  • Manufacturing Engineering BEng (Hons) July 01 1983
  • Fellow (FHEA) Higher Education Academy (HEA) 2014
  • Information not provided Institute of Electrical & Electronic Engineers (IEEE) 2014


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