• 35 Citations
  • 4 h-Index

Research output per year

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Personal profile


Dr Yanguo Jing is the Associate Dean (Enterprise and Innovation) at the Faculty of Business and Law, Coventry University, UK. He has a PhD (Heriot-Watt University, UK), a MSc and a 1st class BSc (Hons) in Computer Science. He has over 20 years’ teaching, research and commercial experience in China, UK and the US. Yanguo is a Certified Management & Business Educator, a Fellow of the British Computer Society, a Charter IT professional and a Fellow of the Higher Education Academy in the UK.

Yanguo has been instrumental in bringing in large executive education contracts from the public sector and Civil Servant including the Civil Servant Future Leaders Scheme, a DIT leadership programme in UK High Commission in India, Chevening Ethiopia Fellowship, Level 7 Senior Leader MBA apprenticeship contract from Ministry of Justice, and the Financial Fraud e-learning project with the City of London Police.     

Yanguo is interested in using technologies (e.g. Mobile and Internet) to support teaching and learning. He has over 10 years’ experience in facilitating online teaching in higher education. He chaired a number of national workshops on Teaching and Learning using Mobile and Tablet Devices. His work has led to a series of research papers in this area. 

Yanguo works very closely with industry, employers and professional associations which enables him to teach students the most relevant workplace knowledge and to provide them with real-world case studies taken from research and industry projects, so that they can see the relevance to their future career. Yanguo is passionate about working with business to address digital skill shortages and work force upskilling. He has been instrumental in securing the successful bid for the national Institute of Coding (IoC) in the UK, which aims to address digital skills shortages in the industry and to create a talent pipeline of appropriate digital skills from diverse backgrounds.  Yanguo is interested in providing students opportunities to learn by applying their knowledge to real life projects while at the university. He set up a Work-Related Learning framework, which has been adopted in a university wide scheme in the UK. He was the managing director of a successful university software company which was set up to provide university computer science students real commercial work experience on live projects. 

Yanguo’s prime research interests are AI and big data. His recent research work focuses on the use of machine-learning methods to capture interaction and user behaviour patterns that can be used to develop intelligent applications. This research has been applied in applications such as business analytics, sports analytics, and user behaviour pattern recognition in social networks and extra-care/ Assisted Living settings. He participated in a number of research and enterprise projects with sponsors and clients such as Cadent Gas, Pfizer, Welsh Government, KPIT, UK’s Comic Relief charity and JISC in the UK. 

He has won a number of awards including a University Staff Excellency Award for Best Enterprise Initiative, and a University Teaching Fellow award recognizing his excellence in teaching and learning.   


PhD in Computer Science, 2004, Heriot-Watt University, Edinburgh, United Kingdom, Thesis title: A model based intelligent interface agent architecture

Postgraduate Certificate in Learning and Teaching in Higher Education, London Metropolitan University, 2003 

Fellow of the Higher Education Academy, 2004

MSc in Computer Science, Dalian Maritime University, China, 2000

BSc (Hon) in Computer Science, 1stclass, Dalian Maritime University, China, 1997


Teaching Experience: 

September 2018 – Present, Associate Dean (Enterprise and Innovation), Faculty of Business and Law (Coventry Business School), Coventry University.  

May 2016 – Present, Associate Professor in Computer Science, Coventry University.  

March 2018 – September 2018, Programme Director, the National Institute of Coding, Coventry University

May 2016 - February 2018, Associate Head of School (Enterprise & Commercial), School of Computing, Electronics and Mathematics, Faculty of Engineering, Environment, and Computing, Coventry University.  

Taught Modules: 

290COM: Technology and its Social, Legal and Ethical Context 

206CDE: Real World Project 

303COM: Individual Project

250EC: Professional Training

M08CDE: Individual Project

A202CEM: International Field Trip

Executive Education courses: Software Development Training for Project Assessors, Wales Government

September 2002 – April 2016, Associate Professor in Computer Science, Head of Faculty Enterprise Development, London Guildhall University/London Metropolitan University.   

Taught modules: Information Management System, E-commerce, AI, Mobile Applications Development, Web Applications Development, Work Related Learning, Work Placement.


His recent research work focuses on the use of statistical and machine-learning methods to capture interaction and user behaviour patterns that can be used to develop intelligent applications. This research has been applied in applications such as business analytics, sports analytics, and user behaviour prediction on social networks. 

Research Interests

  • Sports data analytics
  • Business data analytics
  • Smart extra care homes
  • User Modeling and adaptive user interfaces
  • Social Informatics
  • Security framework for mobile devices
  • Student entrepreneurship and employability

Education/Academic qualification

Computer Science, Doctorate, Heriot-Watt University


1 Sep 19991 Jun 2004

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Research Output

  • 35 Citations
  • 4 h-Index
  • 8 Conference proceeding
  • 8 Article
  • 6 Paper
  • 3 Chapter

Can innovation really bring economic growth? The role of social filter in China

Xiong, A., Xia, S., Ye, Z., Cao, D., Jing, Y. & Li, H., Jun 2020, In : Structural Change and Economic Dynamics. 53, p. 50-61 12 p.

Research output: Contribution to journalArticle

  • 4 Citations (Scopus)

    Predicting Children’s Energy Expenditure during Physical Activity using Deep Learning and Wearable Sensor Data

    Hamid, A., Duncan, M., Eyre, E. & Jing, Y., 27 May 2020, (Accepted/In press) In : European Journal of Sport Science. (In-press), p. (In-press)

    Research output: Contribution to journalArticle

  • 3D Convolutional Neural network for Home Monitoring using Low Resolution Thermal-sensor Array

    Tao, L., Volonakis, T., Tan, B., Zhang, Z., Jing, Y. & Smith, M., 21 Feb 2019, (Accepted/In press).

    Research output: Contribution to conferencePaper

  • A Novel Block-Based Programming Framework for Non-programmers to Validate PLC Based Machine Tools for Automotive Manufacturing Facilities

    Koehler, W. & Jing, Y., 25 Feb 2019, Proceedings - 11th International Conference on Developments in eSystems Engineering, DeSE 2018. IEEE, Vol. 2018-September. p. 202-207 6 p. 8648600. (International Conference on Developments in eSystems Engineering (DESE)).

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding

    Open Access
  • 44 Downloads (Pure)

    Conditional Random Field Feature Generation of Smart Home Sensor Data using Random Forests

    Eastwood, M., Konios, A., Tan, B., Jing, Y. & Hamid, A., 29 Jul 2019, 2019 IEEE MTT-S International Microwave Biomedical Conference (IMBioC). IEEE, 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding

    Open Access
  • 19 Downloads (Pure)


    • 1 Invited talk