Haomin Yu

Haomin Yu is an Assistant Professor in the Department of Computer Science at Aalborg University, affiliated with The Technical Faculty of IT and Design. His research focuses on interdisciplinary applications of machine learning, including crystal property estimation, environmental monitoring, and remote sensing. He has contributed to studies on glaciology, material science, and heritage preservation using advanced computational frameworks.

Research Interests:

• Development of machine learning models for crystallographic property prediction through pre-training frameworks
• Remote sensing analysis of polar ice shelves to assess climate change impacts
• Application of neural networks in deterioration detection for cultural heritage preservation
• Design of specialized forecasting frameworks for environmental data sequences

Publications reflect a focus on combining domain knowledge with AI innovations, including crystal property estimation (2024), Brunt Ice Shelf monitoring (2024), and PM2.5 forecasting (2023).

No scientific awards or grants explicitly mentioned in provided materials.