Professor Yanguo Jing

Biography

Professor Yanguo Jing is the Dean of the Institute of Business, Industry and Leadership at the University of Cumbria and a Professor in AI. 
Professor Jing’s primary research interests lie in applied Artificial Intelligence. His recent work focuses on the use of machine learning to capture interaction and user behaviour patterns, which inform the development of intelligent applications. His research has been successfully applied across diverse domains including business, sports science, manufacturing, and assisted living environments. His work bridges academic inquiry with real-world impact.

Professor Jing has led enterprise portfolios generating significant income from public sector organisations, UK government departments, the NHS, and industry. His leadership in international education includes:
•    Supporting the establishment of a University’s campus in China
•    Launching transnational education programmes with international partners
•    Leading executive education and CPD initiatives for government and industry, including the Cabinet Office’s flagship Future Leaders Scheme and the Chevening Ethiopia Leadership Fellowship
•    Delivering consultancy projects in counter-fraud prevention, leadership development programmes, and digital transformation projects
Professor Jing is passionate about using technology to enhance teaching and learning. He is a Principal Fellow of Advance HE. With over a decade of experience in facilitating online education, he has chaired several national workshops on mobile and tablet-based learning. He is a strong advocate for experiential learning and student employability. At a previous institution, he developed a Work-Related Learning framework that was adopted university-wide. He also served as Managing Director of a successful university software company, providing computer science students with real-world experience through live commercial projects.

Qualifications and memberships

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

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

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

BSc (Hons) in Computer Science, Dalian Maritime University, China, 1997

Principal Fellow of the Advance HE (PFHEA)

Council Member, Chartered Association of Business Schools (2023 - 2025)

Certified Management and Business Educator (CMBE) 

Fellow of British Computer Society (FBCS)

Chartered IT Professional (CITP)

Member of the Executive Education Committee, Chartered Association of Business Schools (2022-2025)

Member of the Council of Professors and Heads of Computing 

Member of The Institute of Electrical and Electronics Engineers (MIEEE)

Member of The Institution of Engineering and Technology (MIET)

Honorary Professor, Wuhan University of Technology in China (2019 - 2022)

Member of the Association of British Chinese Professors

Academic and research interests

Professor Jing’s research spans artificial intelligence, machine learning, human-computer interaction, digital education, digital transformation, intelligent systems, innovation in learning and teaching and student employability. His work has been published extensively in journals and international conferences, with recent contributions in areas such as:

•    Generative AI in higher education
•    Predictive maintenance using industrial data
•    AI-driven movement analysis in sports and healthcare
•    Digital twin technologies for cybersecurity
•    Semantic web and user adaptive systems
•    The use of mobile and tablet devices in learning and teaching 
•    Student employment

He has supervised numerous PhD/Master/MBA/DBA students in AI-related fields, Digital Transformation for Business, Education and continues to lead research projects that bridge academic inquiry with real-world applications. 

Publications

H Huang, S Zhang, H Fan, T Wang, Y Jing, J Dong - Journal of Real-Time Image Processing, (2025), Real-time autonomous underwater and aerial exploration with limited FOV sensors, 

Feng, C, Liu, Z, Li, W, Lu, X, Jing, Y & Ma, Y, (2025), 'Improved Gaussian mixture model and Gaussian mixture regression for learning from demonstration based on Gaussian noise scattering', Advanced Engineering Informatics, vol. 65.

Megheirkouni, M, Baxter, K, Ni, AK & Jing, Y, (2024), 'Leadership-artificial intelligence interaction for sustainable mega events: rethinking the current and future research and practices', Event Management Conference, Orlando, United States, 17/06/24 - 20/06/24.

Duncan, MJ, Eyre, ELJ, Clarke, N, Hamid, A & Jing, Y, (2024), 'Importance of fundamental movement skills to predict technical skills in youth grassroots soccer: a machine learning approach', International Journal of Sports Science and Coaching, vol. 19, no. 3, pp. 1042-1049. https://doi.org/10.1177/17479541231202015

W. Koehler, Y. Jing, (2020), “Trace induction for complete manufacturing process model discovery”, The International Journal of Advanced Manufacturing Technology, http://dx.doi.org/10.1007/s00170-020- 05747-3 

Jing, Y, (2019), “VR, AR, and Wearable Technologies in Education: An Introduction”. in A Zhang & D Cristol (eds), Handbook of Mobile Teaching and Learning. 2 edn, Springer Verlag. DOI: 10.1007/978-3-642- 41981-2_109-1

Jing Y, Eastwood, M, Tan, B, Konios, A, Hamid, A & Collinson, M. (2017), 'An Intelligent Well-being Monitoring System for Residents in Extra Care Homes' Paper presented at International Conference on Internet of Things and Machine Learning, Liverpool, United Kingdom, 17/10/17 - 18/10/17. DOI: 10.1145/3109761.3109769

Jing Y., Craig A., (2016), “A Mobile Learning Framework for Developing Educational Games and Its Pilot Study for Secondary Mathematics Education”, the proceedings of 15th World Conference on Mobile and Contextual Learning, 24 - 26 October 2016, Sydney

Conferences 

2025 6th International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering, Shanghai, China,

2024 5th International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering, ShenZhen, China.

IEEE, 11th International Conference on Developments in eSystems Engineering (DeSE), Cambridge, United Kingdom, 2/09/18. (Best paper award) 

International Conference on Internet of Things and Machine Learning, Liverpool, United Kingdom, October 2017

15th World Conference on Mobile and Contextual Learning,  October 2016, Sydney, Australia 

The ASET annual conference 2015, September 2015, Exeter, UK

The HEA STEM Learning and Teaching Conference 2014, Edinburgh, 2014.

The 15th European Conference on Artificial Intelligence (ECAI'02), July 2002, Leon, France

The UK workshop on Computational Intelligence, September 2001, Edinburgh, UK

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