INTRODUCTION

Dr. Jinxin Pan is currently a lecturer of Glorious Sun School of Business &Management, Donghua University. She received her doctoral degree from School of Management, Hefei University of Technology in 2021. Her current research interests focus on decision-making theory and method, smart healthcare and medicial artificial intelligence. Dr. Pan has published several SCI-indexed journal papers and she has also several invention patents authorized.

 Education

• 2019.09-2020.08  Rutgers Business School – Newark and New Brunswick, Rutgers, The State University of New Jersey, Visiting Scholar

• 2016.09-2021.06 Management Science and Engineering, Hefei University of Technology, Ph.D.

• 2012.09-2016.06  Information Management & Information System, Hefei University of Technology, B.S.

Work Experience

• since 2021.09  Glorious Sun School of Business & Management, Donghua University, Lecturer

ACADEMIC ACHIEVEMENTS

Journal Papers

• Pan J, Ding S, Yang S, Li G, Liu X (2020). Endoscopy report mining for intelligent gastric cancer screening. Expert Systems,37(3):e12504.

• Pan J, Ding S, Wu D, Yang S & Yang J (2019). Exploring behavioural intentions toward smart healthcare services among medical practitioners: a technology transfer perspective. International Journal of Production Research, 57(18):5801-5820.

• Ding S, Hu S, Pan J, Li X, Li G, Liu X (2020). A homogeneous ensemble method for predicting gastric cancer based on gastroscopy reports. Expert Systems,37(3):e12499.

• Tan R, Ding S, Pan J, Qiu Y. ICU Mortality Prediction Based on Key Risk Factors Identification. Health Information Science. HIS 2019. Lecture Notes in Computer Science, vol 11837. Springer, Cham.

Teaching and Research Projects

• 2021-2024  Research on dynamic active service schema based on deep addregation of multi-modal medical and health big data, National Natural Science Foundation of China (72071063), Participant

• 2019-2021  Research on panoramic intelligent decision support method in smart healthcare based on multi-modal cross-border fusion, National Natural Science Foundation of China (91846107), Participant

• 2017-2020  Research of medical minimally invasive multidisciplinary service platform based on artificial intelligence, Anhui Provincial Science and Technology Major Project (17030801001), Participant