ProfileDr.Qi 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. She has won the 2018 Chinese National Outstanding Self-funded International Student Scholarship.
Dr.Qi has successfully hosted a Key category of Chinese Returned Scholars Program funded by Ministry of Human Resources and Social Security (MOHRSS) and a sub-project of the National Key Research and Development Program funded by Ministry of Science and Technology (MOST). She also participated and managed a number of EPSRC and FP7 projects in the UK and the EU, including the assessment of brain deterioration in Patients with Alzheimer's disease, rehabilitation of patients with ankylosing spondylitis and the long-term human activity in healthy adults.
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 Alzheimer's disease, Parkinson's disease, Stroke and other neurodegenerative conditions. She has published over 30 papers in the past five years including 4 Q1 journal papers and 1 ESI highly cited paper.