Short CV
Current Position:
Assistant Professor, Master Supervisor，Department of Information Management, School of Management,Hangzhou Dianzi University, China (01/2022 - present)
Research Interests:
information system
digital commerce
human-computer interaction
business analytics
process mining and machine learning
Research Grants:
Zhejiang Provincial Natural Science Foundation, "Research on a Novel Method on Decision-aware Process Mining Towards Human-AI Hybrids" (01/2026 - 12/2027)
National Social Science Fund of China (09/2025 - 09/2028)
Zhejiang higher education grant of “Major Humanities and Social Sciences Research Projects”(01/2025 - 12/2027)
State Grid Energy research grant (05/2024 - 12/2024)
State Grid Energy research grant (05/2022 - 12/2023)
HDU Start-up grant (10/2022 - 10/2024)
Research Chairs:
Zhejiang Provincial Department of Human Resources and Social Security “Common Prosperity” Service Team Experts (03/2023 - 03/2026)
International Research Collaborations:
Research collaborations withQueensland University of Technology (Australia)
Nova University of Lisbon (Portugal)
University of Southampton (UK)
Teaching Activities:
Management Information Systems
Machine Learning
Big Data Analytics and Applications
Data Structures
Comprehensive Practice in Information System Development
Education:
PhD in Business Economics, KU Leuven, Belgium (11/2016 - 09/2021)
PhD in Management: Information Management (Integrated Master's and PhD Program), Beijing Jiaotong University, China (09/2014 - 09/2021)
BSc in Management: Information Management and Information Systems, Beijing Jiaotong University, China (09/2010 - 06/2014)
Career breaks
Not applicable / none.
Recent publicationsand/or achievements
Unpacking the Effects of Heterogeneous Incentive Policies on Sea–Rail Intermodal Transport: Evidence from China, SYSTEMS, 2025-9（SSCI Q1）
Comparative evaluation of encoding techniques for workflow process remaining time prediction for cloud applications, JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS, 2025-7（SCI Q2）
An improved deep reinforcement learning approach: A case study for optimisation of berth and yard scheduling for bulk cargo terminal, ADVANCES IN PRODUCTION ENGINEERING & MANAGEMENT, 2023-9（SCI Q3）
Bus Single-Trip Time Prediction Based on Ensemble Learning, COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022-11（SCI）
Business Process Redesign Towards IoT-enabled Context-awareness: The Case of a Chinese Bulk Port, BUSINESS PROCESS MANAGEMENT JOURNAL, 2022-5 (SSCI Q1)
An Improved STL-LSTM Model for Daily Bus Passenger Flow Prediction during the COVID-19 Pandemic, SENSORS, 2021-5 (SCI Q2)
Fraud Detection of Bulk Cargo Theft in Port Using Bayesian Network Models, APPLIED SCIENCES, 2020-2 (SCI Q2)
Other scientific output and impact
Master Supervision: Co-promotor of Zhen Li (2021.9 – 2022.9), Mengwei Li (2022.1-2024.6), Xuetao Wang (2022.1-2024.6) and Kangjun Lou (2025.6-present).
Best Paper Award: CNAIS 2025(Beijing, China), IMMS 2023 (Chengdu, China), ICMSS 2018 (Wuhan, China).