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Jun Qi

Assistant Professor

Calculated based on number of publications stored in Pure and citations from Scopus

Research activity per year

Personal profile

Personal profile

Dr.Qi(祁君) received the B.Sc. and M.Sc. degrees in computer science and technology from Changzhou University, Changzhou, China, in 2010 and 2013, respectively, and Ph.D. degree in computer science with the Department of Computing Sciences from Liverpool John Moores University, U.K., in 2019. She is currently a lecturer with the Department of Computer Science and Software Engineering at Xi’an JiaoTong-Liverpool University, Suzhou, China. She was a Postdoc Researcher with Oxford University, Oxford, U.K. Following her studies in 2019-2020, and a Research Associate with the Department of Computing and Mathematics, University of Ulster, Ulster, U.K., in 2013-2014. Her research focused on sensor-based data analysis for patients and healthy adults, using machine learning and expert systems. Special emphases of her work have been “lifelogging” physical activity patterns, and the analysis of time-series data from wearable sensors. Her research interests include predictive models for clinical applications, and investigating the effects of activity on Alzheimers disease, Parkinsons disease, Stroke and other neurodegenerative conditions.Dr.Qi has published over 30 high quality papers. Google Citation is over 1200 (h-index 15, i10-index 20). She has successfully hosted 3 Chinese National Research Programmes and 1 provincial programme, with total funding over 3 million.

Research interests

Healthcare informatics

AI clinical application

Wearable sensing


2020-present, Assistant professor, Xi’an JiaoTong-Liverpool University, China

2019-2020, Post-doctoral researcher, University of Oxford, U.K.

2013-2014, Research Associate, University of Ulster, U.K.


CPT406 Artificial Intelligence

CPT103, Introduction to Database

CPT406 Artificial Intelligence

CPT103, Introduction to Database

Awards and honours

2018 Chinese government award for outstanding self-finance students abroad

ESI Highly Cited Paper Award in 2018

Best Student Paper Award, The 2017 International Workshop on Internet of Things and Big Data for Healthcare (IoTBDH), Exeter, UK, 2017

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy

Education/Academic qualification

Liverpool John Moores Unviersity, UK, PhD, 2019

Person Types

  • Staff


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Collaborations and top research areas from the last five years

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