Summary
Ye ZHU is a senior academic and machine learning researcher with nine years of experience, currently a Senior Lecturer at Deakin University and a Visiting Scholar at Peking University. His work centers on data mining and machine learning—especially clustering, anomaly detection, and similarity learning—with publications in top venues such as SIGKDD, AAAI, Artificial Intelligence Journal, and Pattern Recognition. A Mollie Holman Medal recipient for the best PhD thesis from Monash (2017), he has translated strong research into impact through five competitive grants (~AUD 150k) and awards for both research and teaching excellence. He coordinates HDR activities at Deakin’s Data to Intelligence Research Centre and contributes to the Data Analytics Research Lab, combining deep theoretical rigor with applied pattern-recognition and information-retrieval projects. Based in Melbourne and a Senior Member of IEEE, he blends international training in AI, computational management and development economics with a practical record of mentoring and research leadership.
9 years of coding experience
PG Diploma, Development Economics and International Development, PG Diploma, Development Economics and International Development at School of Oriental and African Studies, U. of London
Master of Science (MSc), Computational Management Science, Master of Science (MSc), Computational Management Science at Imperial College London
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Central China Normal University
Doctor of Philosophy (Ph.D.), Computing (Data Mining and Machine Learning), Doctor of Philosophy (Ph.D.), Computing (Data Mining and Machine Learning) at Monash University