Pham Quoc Cuong graduated with a Master of Engineering at Ritsumeikan University. He has a strong interest in data-driven techniques incorporating signal processing and machine learning methods for healthcare research to enhance the digitalization of the computer-aid medical system.
His current study focuses on developing efficient multimodal AI frameworks for digital phenotype monitoring and assessment of some common neurological and mental health diseases, with a target on low-resource deployment settings, e.g., low and middle-income countries.
A Statistical Approach to Evaluate Beta Response in Motor Imagery-Based Brain-Computer Interface
Minh Tran Duc Nguyen, Cuong Quoc Pham, Hai Ngoc Nguyen, Khai Quoc Le & Linh Quang Huynh
IFMBE Proceedings, 2022
[1] Poster presentation at NeuroCoB (2024)
[2] Awarded Monbukagakusho (MEXT) Scholarship, by Japanese Gonvernment (2020)