Mao Kezhi

Mao Kezhi is an Associate Professor in the Department of Electrical and Electronic Engineering at Nanyang Technological University. His research interests include Machine Learning, Deep Learning for Big Data, Natural Language Processing, Image/Video Processing, Information Fusion, and Cognitive Science. He can be contacted via email at ekzmao@ntu.edu.sg or through his profile page at https://dr.ntu.edu.sg/entities/person/Mao-Kezhi.

Kezhi Mao is a researcher at Nanyang Technological University, specializing in constraint-driven machine intelligence, parsimonious modelling, and knowledge-augmented learning. His work focuses on developing efficient and interpretable machine learning models for various applications, including machine health monitoring, cyberbullying detection, and pattern classification. Mao's research integrates deep learning techniques with traditional methods to enhance model performance and robustness. His publications explore topics such as feature selection, neural network structure determination, and causal relation extraction from natural language texts. His contributions highlight the importance of combining domain knowledge with machine learning to address complex real-world problems.