معرفی
Yu Tian is a Researcher at the School of Science, Peking University, specializing in interdisciplinary research at the intersection of artificial intelligence, renewable energy, and data science. They hold a Doctoral degree in Medical and Health Sciences from Peking University Health Science Center (2010). Their work addresses UN Sustainable Development Goals related to sustainable energy and innovation.
- Education: Doctor of Philosophy, Medical and Health Sciences, Peking University (2010)
Research focuses on explainable AI, federated learning algorithms, high-resolution wind energy modeling, and sustainable industrial systems. Notable contributions include developing clustered federated learning frameworks and creating detailed wind atlases for Finland to optimize renewable energy integration. Yu Tian’s work emphasizes practical applications of AI in energy management and environmental science.
Recent publications span machine learning optimization, energy systems, and wind energy modeling. Collaborations include international projects on AI-driven sustainability and federated learning methodologies. Their research bridges theoretical advancements with real-world challenges in energy and health sectors.
