Summary
Ming Li is a professor and interdisciplinary researcher based in Shanghai, combining PhD-level computer science expertise with an M.Eng. in ship structural mechanics to tackle problems at the intersection of applied statistics, signal processing, and stochastic mechanics. He has led institutes and departments at East China Normal University and Zhejiang University, and spent formative research years at NUS and CSSRC, reflecting a career that bridges academia and applied engineering. Li has authored over 200 papers and three monographs, with multiple works recognized among the Top 100 Most Cited Chinese Papers and repeated listings as one of the most influential Chinese researchers by Elsevier. His research spans practical domains such as sea level, wind and ocean wave analysis, teletraffic modeling, and anomaly intrusion detection, showing a rare ability to apply mathematical theory to real-world environmental and network systems. Notably, his background in ship mechanics informs distinctive contributions to fractal time series and experimental mechanics that few computer scientists possess. He maintains an active academic presence across multiple institutions and international collaborations, emphasizing measured, data-driven approaches to complex systems.
9 years of coding experience
2 years of employment as a software developer
English, English at Shanghai International Studies University
Master of Engineering, Ship Structural Mechanics, Master of Engineering, Ship Structural Mechanics at China Ship Research Institute
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at City University of Hong Kong
chinese (mandarin); chinese (cantonese); english