Intelligent Systems

The intelligent systems research cluster develop algorithms using Control Theory and Artificial Intelligence to solve various problems, which includes:

(i)            condition monitoring from limited information sources,

(ii)           forecasting the occurrence of faults/failures or solar/wind generation,

(iii)          extracting useful information from images and biomedical data,

(iv)         learning between multiple robots.

These are then used in diverse applications such as:

(i)            improving efficiency in transportation networks

(ii)           improving efficiency of automated and complex industrial processes, smart agriculture, robot control

(iii)         development of human interactive mobile apps,

(iv)         optimizing operation of smart grid.

The research cluster has managed to attract research grants from:

(i)      Government Agencies:

- Fundamental Research Grant Scheme (Ministry of Education, Malaysia)

- E-Science (Ministry of Science, Technology & Innovation, Malaysia)

The research cluster is also actively involved in multi-disciplinary collaboration and projects, both internally and externally.

Meet the researchers

	Assoc. Prof. Tan Chee Pin (Edwin) Fault diagnosis and condition monitoring in dynamic and complex systems Optimization of traffic networks and other smart city applications
	Dr. Mohammed Ayoub Juman Machine vision Mobile robot control Agricultural automation
	Dr. Alpha Agape Gopalai Wearable devices for health condition monitoring Interactive rehabilitation systems
	Dr. Tan Wen Shan Smart grid Renewable Energy Forecasting Power System Optimization

More details on the researchers’ information can be obtained in our people