معرفی
Cheng-Hao Cai serves as an Adjunct Lecturer in the Department of Data Science & AI at Monash University. His research focuses on interdisciplinary applications of AI, including cloud computing, software engineering, and industrial process optimization. He collaborates with the Monash Suzhou Research Institute on patents related to smart manufacturing and data-driven methodologies.
Key research interests include AI-driven modeling for quality prediction in cokemaking, service-oriented cloud scheduling, and advanced NLP techniques like Chinese named entity recognition. His work integrates deep learning frameworks with domain-specific challenges, such as lattice-transformer-graph models for language processing and automated refactoring of state transition models.
Cai has contributed to 23 research outputs since 2014, with recent publications emphasizing practical AI solutions for industry and computational systems. His patents highlight collaboration between academia and industry, particularly in Suzhou.
