Yiming Sun

Dr. Yiming Sun is a Researcher in the School of Electrical and Electronic Engineering at the University of Sheffield, focusing on Complex Dynamic Weather Processes Modelling. His work integrates machine learning with environmental systems, including seasonal weather forecasting and energy management optimization. He holds a Research Associate position, contributing to interdisciplinary projects at the intersection of engineering and environmental science.

Research interests span environmental modeling, climate prediction, soil chemistry, plant biology, and biotechnology. Key projects include developing hybrid machine learning models for weather systems and studying plant-microbe interactions in contaminated environments. His work bridges theoretical models with practical applications in sustainable energy and ecological remediation.

Publications highlight contributions to weather forecasting algorithms, energy management systems, and plant-based bioremediation strategies. Recent work emphasizes interpretability in machine learning models for climate science and optimizing building energy systems through probabilistic modeling.

No scientific awards or funded grants are explicitly listed. Collaborations with industry and academic partners are evident in his research on food science education and corporate partnerships in biotechnology.

Laboratory and team affiliations are not detailed, but his research involves interdisciplinary teams addressing environmental challenges and technological innovations.