Accepting PhD Students

PhD projects

https://www.monash.edu.my/it/staff/academic/dr-lim-mei-kuan#tabs__1379169-02

https://www.monash.edu.my/research/researchers-say/is-our-social-media-behaviour-a-window-into-our-mental-health

20082022

Research activity per year

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Personal profile

Biography

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.

Research interests

Her primary research focus is in applying Artificial Intelligence algorithms, in particularly utilizing the Swarm Intelligence approaches to understand and solve problems in complex systems. She is currently engaged in social media analytics, utilizing visual and textual information to analyse the underlying behaviours of social media that may in turn lead to collective intelligence.

Monash teaching commitment

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

Education/Academic qualification

Computer Vision , Doctor of Philosophy, Universiti Malaya (University of Malaya)

Award Date: 19 Oct 2015

Research area keywords

  • Computer Vision
  • Swarm Intelligence
  • Data & Video Analytics

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