• 30 Citations
  • 3 h-Index
20022020

Research output per year

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Personal profile

Biography

Dr Yanguo Jing has a PhD in Computer Science and intelligent Systems, a MSc and a 1st class BSc (Hons) in Computer Science. He has over 20 years’ teaching, research and commercial experience, with interests in machine learning and data analytics for business. Yanguo is a Fellow of the British Computer Society, Charter IT professionals and a Fellow of the Higher Education Academy. He has worked with clients such as Pfizer, National Grid, and Comic Relief. He was the Managing Director of a very successful software company for over three years and was instrumental in securing the successful bid for the £40M National Institute of Coding (IoC) in the UK, which aims to address digital skills shortages in the industry and to create a pipeline of talents of appropriate digital skills from diverse backgrounds. 

 

Qualifications:

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.

Research:

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

Doctorate

1 Sep 19991 Jun 2004

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Research Output

  • 30 Citations
  • 3 h-Index
  • 8 Conference proceeding
  • 7 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., 15 Jan 2020, In : Structural Change and Economic Dynamics. 53, p. 50-61 12 p.

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
    File
  • 25 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
    File
  • 17 Downloads (Pure)

    Sparse Feature Extraction for Activity Detection Using Low-Resolution IR Streams

    Karayaneva, Y., Sharifzadeh, S., Jing, Y., Cherry, K. & Tan, B., 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). IEEE, p. 1837-1843 7 p.

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

    Open Access
    File
  • 3 Downloads (Pure)

    Activities

    • 1 Invited talk