Poster · Atlanta

GeoWind2Plan: Mission-Time 3D Urban Wind Prediction for Energy-Efficient UAV Planning

Name: GeoWind2Plan: Mission-Time 3D Urban Wind Prediction for Energy-Efficient UAV Planning
Start: 2026-12-11T10:00:00-05:00
End: 2026-12-11T13:00:00-05:00
Location: Hall C1, Georgia World Congress Center

When: Fri 11 Dec 2026, 10:00–13:00 EST
Where: Hall C1, Georgia World Congress Center
Session: Atlanta Poster Session 5
Authors: Shaoxiang Qin, Xiongye Xiao, Yucheng Zhao, Fuyuan Lyu, Di Zhou, Jiachen Yao, Steve Liu, Animashree Anandkumar, Liangzhu Leon Wang
Organisations: McGill University, University of Tennessee, Mohamed bin Zayed University of Artificial Intelligence, California Institute of Technology, Concordia University
QRS classification: Computer vision, Robotics and embodied AI, AI for science, Efficient and distributed ML systems

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