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Ligang He is a renowned researcher in the field of Distributed Computing with a strong focus on parallel distributed systems and developing methodologies for parallel distributed computing. His research involves applying these techniques to various scenarios including the enhancement of machine/deep learning applications, particularly in federated learning, and optimizing resource management in cloud-edge computing environments. He has published over 190 papers in prestigious venues such as IEEE Transactions on Parallel and Distributed Systems and NeurIPS, contributing significantly to advancements in data analytical methods and communication security schemes within distributed frameworks. Ligang is also recognized as among the top 2% of scientists worldwide in his field according to composite indicators from Stanford. He supervises MSc and PhD students, guiding them through innovative research projects, including development frameworks for electronic health records, and enhancing anomaly detection methods for big data. His accolades include winning the MSc Dissertation Award and ranking highly in the Big Data category for his research achievements.
Includes General, Mechanical, Civil, Electrical, Biomedical, and Manufacturing Engineering. Most programs fall under English Band A.