Whole-Field Reinforcement Learning: A Fully Autonomous Aerial Scouting Method for Precision Agriculture. - Zichen Zhang 004; Jayson Boubin; Christopher Stewart; Sami Khanal (Sensors, 2020)

Poster Abstract: Data-Parallel Versus Task-Parallel Swarms for Small Unmanned Aerial Systems. - Jayson Boubin; Zichen Zhang 004; John Chumley; Christopher Stewart (IoTDI, 2022)

Scalable distributed microservices for autonomous UAV swarms: poster abstract. - Kevyn Angueira Irizarry; Zichen Zhang 004; Christopher Stewart; Jayson Boubin (Middleware Demos/Posters, 2022)

Adaptive Deployment for Autonomous Agricultural UAV Swarms. - Jayson Boubin; Zichen Zhang 004; John Chumley; Christopher Stewart (SenSys, 2022)

Assessing the efficacy of machine learning techniques to characterize soybean defoliation from unmanned aerial vehicles. - Zichen Zhang 004; Sami Khanal; Amy Raudenbush; Kelley Tilmon; Christopher Stewart (Comput. Electron. Agric., 2022)

Domain-Aware Model Training as a Service for Use-Inspired Models. - Zichen Zhang 004; Christopher Stewart (IC2E, 2024)