معرفی
Runlong Yu is an Assistant Professor in the Department of Computer Science at The University of Alabama's College of Engineering. He earned a B.Eng. (2017) and Ph.D. (2023) in Computer Science from the University of Science and Technology of China. Prior to joining UA, he served as a Postdoctoral Associate at the University of Pittsburgh.
- Education:
- B.Eng., Computer Science, USTC (2017)
- Ph.D., Computer Science, USTC (2023)
His research focuses on advancing AI and data science for addressing complex scientific challenges, particularly through:
- Physics-guided machine learning models
- Foundation models for Earth-system analysis
- Retrieval-augmented AI frameworks
- Integration of multimodal datasets (remote sensing, simulations, in-situ measurements)
Applications span hydrology, aquatic systems, wildfire science, climate modeling, agriculture, and biomedicine. Recent work emphasizes autonomous AI agents that model coupled environmental, ecological, and social dynamics.
Publications highlight breakthroughs in:
- Environmental computing frameworks
- Adaptive learning for water quality prediction
- Scientific knowledge synthesis
- Foundation model development
Awards include:
- China Scholarship Council Scholarship
- CCF BDCI Fighting Epidemics Big Data Challenge Champion
- China National Scholarship
- PaddlePaddle Special Award at KDD CUP
- Chinese Physics Olympiad First Prize
He leads the AI for Science Lab at UA, developing algorithms and platforms for sustainability, resilience, and intelligent infrastructure. Collaborations are welcomed with researchers in AI, machine learning, and data-driven discovery.
