Mei Kuan LIM is a lecturer attached to the School of Information Technology at Monash University Malaysia. She graduated from Universiti Malaysia Sarawak, Malaysia in 2007 with a First Class Honours in Computer Science. In 2015, she received her Doctoral degree from University of Malaya, Malaysia, under the scholarship of Yayasan Khazanah. She further completed her post-doctoral studies in the Department of Artificial Intelligence in the University of Malaya until 2016. Previously, she was a researcher in MIMOS Berhad from 2004 to 2007, conducting research and development in video surveillance, in particularly intelligent video analytics solutions. She was also a visiting researcher in Kingston University, United Kingdom in 2012 and 2013. Her research interests include swarm intelligence, data and video analytics, computer vision and machine learning. She has also served as reviewer for several conferences and journals, and as an organizing committee in several conferences such as ACPR 2015 and VCIP 2013.

Her main focus in research revolves around computer vision, machine learning, and their practical applications, particularly in the realms of smart manufacturing and digital health. Presently, she is actively involved in social media analytics, leveraging both visual and textual information to scrutinize the inherent behaviors within social media platforms. Additionally, she is engaged in collaborative projects with the industry, specifically focusing on anomaly detection for smart manufacturing.

• FIT1051 - Programming Fundamentals in Java
• FIT9131 - Programming Foundations in Java
• FIT3199 - Industry Work Experience
• FIT5122 - Professional Practice