Dr. Peter Kemper is a Computer Scientist at William & Mary interested in Modeling, Techniques and Tools for Simulation and Optimization of Discrete Event Systems, Stochastic Models for Performance and Dependability Analysis, Human-Computer Interfaces, Brain-Computer Interfaces, Software Development, and Analysis Techniques for Spatial-Temporal Data.

Predicting road quality using high resolution satellite imagery: A transfer learning approach
Satellite Data Poisoning Project (SDPP)
Deep Learning for Satellite Imagery (DL4SAT)