Doctoral Candidate

Bowen Tian

Bowen Tian is a doctoral candidate in the unit Building Physics and Services. He specializes in urban-scale energy systems and advanced computational modeling. Expertise in developing AI-driven solutions for sustainable urban development, with a focus on solar energy optimization and grid integration. Track record of converting complex research challenges into practical engineering solutions through innovative applications of machine learning, computer vision, and point cloud processing technologies.

Recent Publications

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