Pengyu Chen

Complete CV (PDF)
Open to collaboration on: GeoAI · Remote Sensing · Spatial Statistics · AI for Good

Starting my Ph.D. in Geospatial and Environmental Analysis at Virginia Tech in Fall 2026.

Education

M.S. in Geographic Information Science
University of South Carolina, Columbia, SC
Thesis: VLM4S: A Vision-Language Model Framework for Geographically and Environmentally Informed Soundscape Assessment
Advisor: Dr. Sicheng Wang
Visiting Student
Wuhan University, China
Advisor: Prof. Teng Fei
B.S. in Geographic Information Science
Wuhan University of Technology, China
Thesis: Transformer-based geographic scene description
Advisor: Prof. Wei Cui

Research & Internship

Graduate Research Assistant
University of South Carolina (Funded by City of Columbia)
  • Developed a deep learning pipeline using SegFormer to automate tree canopy detection from historical aerial imagery (2005–2023).
  • Conducted multi-temporal analysis to assess urban canopy change and its environmental impact.
Research Intern (Spatial Data Lab)
Harvard University (CGA)
Focus: Geographic Big Data Analytics and Spatio-Temporal Data Mining under the supervision of Dr. Yuhang Pan.
Research Assistant & Visiting Student
Wuhan University
  • Developed a YOLO-based Intelligent Bear Deterrence System to mitigate human-wildlife conflicts.
  • Optimized and deployed computer vision models to K210 microcontrollers for real-time edge computing.
Research Intern
Clemson University (Remote)
Co-authored research in Journal of Transport Geography; processed mobility datasets and generated impact curves for extreme temperatures.