Project TitleClassification of Artifacts in EEG Signals through Deep Learning
LocationKampar Campus
Stipend RM2,000.00 (Full Tuition Fee Scholarship for candidate with CGPA: 3.50 and above T&C)
Education LevelBachelor of Computer Science / Bachelor of Engineering (E&E) / Bachelor of IT
Specific Skills / Knowledge RequiredKnowledge in machine learning
Job Description1. Identify and predict/classify different types of artifacts features contaminating EEG signals
2. To be able to implement and evaluate different machine learning and deep learning algorithms
How to Apply If you are interested, please contact Dr. Ashvaany at