W. Sun

Dr. W. Sun is a researcher affiliated with the Department of Electrical Engineering, Mathematics and Computer Science. His work focuses on integrating machine learning with aerospace engineering challenges, particularly in optimizing flight trajectories and reducing aviation environmental impacts.

• Key Research Areas: Machine Learning, Data Integration, Contrail Mitigation, Wind Field Estimation, Flight Optimization
• Recent Trends: Leveraging Large Language Models for database systems, applying supervised learning to flight delay prediction, and using remote sensing data for contrail segmentation
• Collaborations: Active in international collaborations involving ADS-B data analysis, climate-optimal routing, and open-source aviation datasets like OpenSky and OpenAP
• Technical Contributions: Developed methods for linear algebra query processing, Gaussian process regression for weather modeling, and frameworks for aircraft performance estimation