Lee How Chinh

Dr Lee How Chinh is a Senior Lecturer (Practice) in the Department of Econometrics and Business Statistics at the School of Business, Monash University Malaysia. He is actively involved in teaching, research, and industry collaboration, particularly in data science and analytics.

Education:

• PhD in Statistics, Universiti Sains Malaysia
• Master of Applied Statistics, Universiti Putra Malaysia
• Master of Science in Mathematics, Universiti Kebangsaan Malaysia
• Bachelor of Science (Hons) in Mathematical Sciences, Universiti Kebangsaan Malaysia

Dr Lee's research centers on applying statistical and machine learning methods to business and industrial problems. His key interests include predictive modeling, statistical business analysis, and anomaly detection in operational data. He emphasizes practical applications and bridges academia with industry through training and consultancy.

The recent publications reflect a strong trend in statistical process control, AI-driven environmental modeling, and educational technology. His work combines theoretical rigor with real-world impact, particularly in quality control and data-driven decision-making.

Scientific Awards and Recognitions:

• Hadiah Sanjungan from PERSAMA for PhD thesis
• Professional Technologist (MBOT)
• SAS Certified Professional: AI and Machine Learning

Dr Lee actively supervises students and contributes to academic service as a peer reviewer for journals like IEEE Access and PLoS ONE. He is a chief investigator in an active research project focused on building data-driven organizations using AI and data warehousing. He also collaborates with SAS Institute Malaysia as an accredited trainer, delivering data science programs to industry and government.

He is involved in professional communities and serves as a technical reviewer and judge for data science competitions and conferences, contributing to the advancement of the field in Southeast Asia.