Quanchen(Ron) Liu is a Double Degree PhD Fellow between Shanghai Jiao Tong University and Copenhagen Business School. His thesis focuses on personalized diet health self-management especially for Individuals with cardiovascular diseases. His current another research project also tries to explore the effects of personality traits on trading and social performance in social trading.
He uses a variety of research methods & skills, including programming (C#, VB, Python etc.), optimization theory & algorithm, data crawling and analysis. His current research interests mainly reside in intelligent healthcare and social trading. His previous research areas covered optimization theory and algorithms (& intelligent optimization algorithms), Petri-net theory and application.
Primary research areas
Intelligent healthcare
Social trading
Optimization theory and algorithms (including intelligent optimization algorithms)
Petri-net theory and application
Social media
Link to this homepage
www.cbs.dk/en/staff/qldigi
Selected publications
2022:Quanchen LIU, Bingqing Xiong, Zhao Cai, Jiantao Zhu, Eric Lim, Chee-Wee Tan. Effects ofPersonality on Social Performance in Social Trading. In Proceedings of the 55th HawaiiInternational Conference on System Sciences (HICSS 2022), Maui, Hawaii, USA, January 4–7.(Best Paper Nomination)
2021: Liu Quanchen, Zhang Pengzhu. Panoramic and Personalised Intelligent Healthcare Mode [J].
Journal of Shanghai Jiaotong University (Science), 2021, pp. 1-16.
Publications sorted by:
2023
Quanchen Liu; Mengli Yu; Bingqing Xiong; Zhao Cai; Pengzhu Zhang; Chee-Wee Tan / Health Analytics in Business Research : A Literature Review. In: Journal of Management Analytics, Vol. 10, No. 3, 9.2023, p. 447-476