一九二六,北伐兵兴,边隅之地,青年两个,墨盒为礼,寄语未来;惟不知抬头落款中的两个人,他们的后来,是否就达学问功名,是否完成…『伟大的人生』。— 腰乐队 刘弢
Pengyu Chen | 陈鹏宇
• Email: pengyuc@email.sc.edu
• Location: Columbia, SC, USA
• Office: Callcott 121, or Callcott 318 (GIScience Lab)
Accounts:
• GitHub | LinkedIn | Google Scholar | Research Gate
Curriculum vitae:
Here is the PDF version: CV
I’m happy to collaborate with anyone interested in GeoAI (Deep learning in Remote sensing, AI for Urban, etc) and Statistics (geospatial statistics, statistical physics, etc.). :D
Education

M.S. in Geographic Information Science
University of South Carolina | August 2024 – May 2026
TA full scholarship | GPA:3.82/4.0
Advisor: Dr. Sicheng Wang

B.S. in Geographic Information Science
Wuhan University of Technology | Sept 2020 – June 2024
Thesis: Transformer-based geographic scene description
Advisor: Prof. Wei Cui
Research Experience

Research Assistant
University of South Carolina | July 2025 – August 2025
Funded by City of Columbia
- Trained a deep learning model to detect tree canopy based on SegFormer
- Analyzed canopy loss trends from 2005–2023 using high-resolution imagery
Advisor: Dr. Cuizhen Wang and Dr. Kirstin Dow

Research Intern
Harvard University | May 2024 - September 2024
Spatial Data Laboratory (SDL) Internship Program
Geographic Big Data Analytics, Spatio-Temporal Data Mining
Supervisor: Dr. Yuhang Pan, Peking University

Visiting Student & Research Assistant
Wuhan University | July 2023 – July 2024
Wuhan, China
- Trained YOLO-based object detection algorithm and deployed model compression to the K210 microcontroller.
- Application: Detecting Tibetan brown bears and using K210 to drive water pumps and bear spray.
- Currently have a Chinese core journal in submission.
Supervisor: Prof. Teng Fei

Research Intern
Clemson University | Sept 2022 – Jan 2023
Remote
- Data processing, data cleaning, and curve generation using MATLAB and Python.
- Published paper in the Journal of Transport Geography.
Supervisor: Dr. Chao Fan
Teaching Experience

Lab Instructor
University of South Carolina
Course: Landform Geography, GEOG 201
2024 Fall, 2025 Spring
Supervised by Dr. Jean Taylor Ellis and Dr. John A. Kupfer
Leading Experience

GISphere Website Development Leader
GISphere | Part-time | Jun 2021 – Present
Remote
- Developed backend using Django framework with Django REST Framework APIs, connected to MySQL database.
- Built front-end with Vue, managed user demand pool, and led backend development.