Objective
đź’Şđź’Şđź’Ş Successfully graduate in April 2028.
Publications
Wang, J., Trivella, A., Guericke, D., & Yazan, D. M. (2025). An optimization framework for managing resource flows in hubs for circularity. Circular Economy and Sustainability, 1-30. Link
Wang, J., Wu, S., Jin, Q., Wang, Y., & Chen, C. (2024). Identifying Popular Products at an Early Stage of Sales Season for the Apparel Industry. INFORMS Journal on Applied Analytics, 54(3), 282–296.
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Conferences
- 5th Symposium on Circular Economy and Sustainability (June 2024, Chania, Greece)
- 34th European Conference on Operational Research (June 2025, Leeds, UK)
- BMS Research conference(November 2025, Enschede, Netherlands)
- 51st LNMB Conference on the Mathematics of Operations Research (January 2026, Soesterberg, Netherlands)
Education
Ph.D. in Industrial Engineering and Management Science
University of Twente, 2024–presentM.S. in Management Science and Engineering
Zhejiang University, 2021–2024B.S. in Transportation Engineering
Shanghai Jiao Tong University, 2017–2021
Research Experience
PhD Project
Title: Resource flow optimization and logistics in Hubs for circularity Project
Institution: University of Twente
- Develop a daily operational model for a generic hub for circularity, managed in a centralized manner, which provides optimal decisions on production scheduling, transportation, and inventory management.
- Conduct a comprehensive literature review on resource flow management within concepts related with hubs for circularity, such as industrial symbiosis networks, and propose a two-phase optimization framework for managing flows of resources in space and time.
Master’s Thesis
Title: Identifying Popular Products at An Early Stage for Apparel Industry [Slides]
Cooperating Company: Hangzhou Linezone Data
Institution: Zhejiang University (May 2022 – March 2023)
Supervisor: Professor Qingwei Jin
- Proposed a new indicator, AW Sales (Average Weekly Sales in Main Sales Period), to measure product popularity, unaffected by differences in store traffic, number of stores with initial stock, discounts, and product launch duration.
- Developed novel features from weekly sales volume sequences.
- Built a product popularity classification model using ranking algorithms, pioneering their application in sales prediction.
- Achieved 78.9% prediction accuracy, identifying fast-selling products 17 days earlier than traditional methods.
Bechelor’s Thesis
Title: Plan-Based Bus Bridging Strategy During Disruptions of Urban Rail Networks [Slides]
Institution: Shanghai Jiao Tong University (February 2021 – June 2021)
Supervisor: Professor Jiangang Jin
- Constructed an Integer Linear Programming (ILP) model for flexible bus scheduling to support efficient passenger transportation during rail disruptions.
- Developed a solution program using CPLEX to achieve optimal results.
- Designed and implemented a heuristic algorithm in Python to accelerate solutions while maintaining a deviation of only 2.2% from the exact solution.
Projects
Text Mining and Classifications in Yunduoduo pdf
- Collected data from “Yunduoduo”, a social platform for college students and fine-tuned the BERT model to predict post sentiment.
- Compared various machine learning algorithms (Random Forest, Logistic Regression, and Linear SVM) for accuracy and efficiency.
- Proposed an automatic classification application prototype.
Time Series Analysis of AQI in Delhi (2015–2020) pdf
- Modeled and predicted Air Quality Index (AQI) for August 2019 to August 2020 using historical data from Delhi, India.
Utilized R for statistical modeling and forecasting.
Skills
- Programming: Proficient in Python, with expertise in data analysis, machine learning, and algorithm development.
- Mathematical Modeling: Strong background in transportation and optimization modeling.
- Language: English (C1), Chinese (Native).
Honors and Awards
- Outstanding Graduate Award, Zhejiang University, 2024
- Outstanding Graduate Award, Shanghai Jiaotong University, 2021
- National Scholarship of China (top 1%), 2020