CV

Education

• B.S. in Quality Management Engineering, China Jiliang University, 2025 (expected)

Research experience

• Mar 2023 - Feb 2024: Undergraduate Research Assistant
  • Intelligent Monitoring and Traceability Laboratory, College of Quality & Safety Engineering, China Jiliang University
  • Duties includes: Data Cleaning and Exploratory Data Analysis, Algorithm Prototyping, Machine Learning Model Design, Simulation
  • Supervisor: Dr. Tao Ding
• Feb 2024 - Jul 2024: Undergraduate Research Assistant
  • ACCESS Lab, School of Engineering, Westlake University
  • Duties includes: Development of algorithm prototypes, code checking
  • Supervisor: Dr. Yuzhong Zhang
• Aug 2024 - Feb 2025: Visiting student
  • ACCESS Lab, School of Engineering, Westlake University
  • Duties included: Development of algorithm prototypes, data analysis
  • Supervisor: Dr. Yuzhong Zhang

Publications

A Multi-UAV Indoor Air Real-Time Detection and Gas Source Localization Method Based on Improved Teaching–Learning-Based Optimization

Talks

Foundations of Machine Learning (in Chinese)

November 02, 2023

Talk at College of Quality & Safety Engineering, China Jiliang University, Hangzhou, Zhejiang

Teaching

Introduction to LaTeX and Technical Paper Typesetting

Editorial

• I am a peer reviewer for the following journals:
  • Robotica

Service and Collaboration

I have contributed to student groups and academic activities in various capacities. I have mentored junior undergraduates in several student societies, covering fields such as computer technology, electronic engineering, and research methodologies. Additionally, I organised a series of workshops within my research group, aimed at equipping postgraduate students from less quantitatively rigorous backgrounds with programming and data science skills, and providing training in LaTeX-based academic writing.

I have served as either the lead or a core member in several undergraduate research projects, some of which have secured competitive national funding. These research initiatives include the development of UAV control algorithms, fluid simulation and gas diffusion predictive models, and post-processing algorithms for incomplete and unbalanced Earth system observation data. These projects are part of a broader research endeavour, the ultimate goal of which is to develop a suite of machine learning and data assimilation methods to fully exploit Earth system observation data from various sources, enabling multi-scale and multi-modal analysis and prediction of this complex system.