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Professor Yanguo Jing

Professor

    Accepting PhD Students

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    • Source: Scopus
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    20022020

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    Personal profile

    Biography

    Professor Dr Yanguo Jing is the Associate Dean (Enterprise and Innovation) at the Faculty of Business and Law, Coventry University, UK. He is a Professor in Enterprise and Innovation in Leadership and Artificial Intelligence. 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.   

    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.  

    August 2020 - Present, Professor in Enterprise and Innovation (Leadershipand Artificial Intelligence), Coventry University.  

    May 2016 – July 2020, 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

    Award Date: 1 Jul 2014

    Doctorate

    1 Sep 19991 Jun 2004

    Award Date: 1 Jun 2004

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