Objective

💪💪💪 Successfully graduate in April 2028.

Education

• Ph.D. in Industrial Engineering
  University of Twente, 2024–present

• M.S. in Management Science and Engineering
  Zhejiang University, 2021–2024

• B.S. in Transportation Engineering
  Shanghai Jiao Tong University, 2017–2021

Research Experience

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).

Publications

• Wang, Jiayun, Trivella, Alessio, Guericke, Daniela, and Yazan, Devrim Murat. An Optimization Framework for Managing Resource Flows in Hubs for Circularity (December 2, 2024). Available at SSRN.

• 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.
  Download PDF

Honors and Awards

• Outstanding Graduate Award, Zhejiang University, 2024
• Outstanding Graduate Award, Shanghai Jiaotong University, 2021
• National Scholarship of China (top 1%), 2020