Cuong Pham

Hi! I am currently a 1st-year PhD student at College of Engineering & Computer Science and VinUni-Illinois Smart Healthcare Center, VinUniversity where I conduct research in AIxHealthcare fields. I got B.Eng. at VNU-HCM University of Technology, and M.Eng. at Ritsumeikan University.

Previously, I spent 1.5 years at Danish startup HĀTO to develop AI-based cardiac diagnostics, followed by a year at Brain Health Lab to conduct Brain Computer Interface research on Vietnamese cohorts.

My academic profiles:

Email  /  Linkedin  /  CV  /  Github

My current study focus on developing efficient multimodal AI framework for digital phenotype monitoring and assessment of some common neurological and mental health diseases, with a target on low-resource deployment setting, e.g., low and middle-income countries.

I'm also interested in human-based biosignal experiments and analysis associated to different sub-domain studies in neurology, cardiology, and digital remote monitoring.

• [Jan '25] I was awarded ME-UYR travel grant; by IEEE Signal Processing Society.
• [Aug '24] I started the PhD program in CECS x VISHC, VinUniversity, advised by Dr. Hieu Pham and Dr. Huong Ha.
• [Jul '24] We introduce our Motor Imagery based BCI project at BME10 conference, Phan Thiet, Vietnam.
• [Nov '23] I started my work as a Research Assistant @ Brain Health Lab, HCMIU. where I tech-led the implementation for the Brain-Computer Interface system for Vietnamese cohort. This is part of a cross-national KC-4.0 project, funded by MOST.
• [Sep '23] I finished defense my Master thesis: Remote Photoplethysmography Assessment Using Deep Learning @ Graduate School of Information Science and Engineering, Ritsumeikan University (Chair: Dr. Ruck Thawonmas).
• [Aug '22] I was awarded 2nd prize in Kyoto Startup Weekend Competition; by KYOTO Design Lab (Kyoto Institute of Technology) x Techstars. We designed a proof-of-concept application for small clothes business.
• [Jun '22] I joined Scadinavian startup HĀTO x Black VC as a part-time researcher, worked in the multidisciplinary field of cardiology diangostisc analysis, bio-signal processing, database management and artificial intelligence.
• [Mar '22] I presented my paper at IEEE LifeTech 2022 conference, Osaka, Japan.
• [Sep '21] I started M.Eng course @ Ritsumeikan University (Japan), advised by Dr. Koji Kashihara.
• [Aug '21] My BME8 conference paper was published in IFMBE Proceedings Series.
• [Mar '21] I was awarded fully-funded Monbukagakusho (MEXT) Scholarship; by Japanese Gonvernment.

• [Spring '25] Object Oriented Programming and Data Structures @ CECS, VinUniversity.
• [Fall '24] Computer Vision @ CECS, VinUniversity.
• [Fall '22] Experiments in Artificial and Natural Intelligence @ CISE, Ritsumeikan University.

• [Dec '24] Development and Evaluation of Multimodal AI Framework for Mental Health Assessment: A Preliminary Study. At the 17th International Conference on Brain Informatics (BI2024), Bangkok, Thailand.
• [Jul '24] Evaluation of Cue-based Protocol Implementation in Motor Imagery-based Brain-Computer Interface Experiments. At the NeuroCoB Society's Brainconnects (NSNC2024), Putrajaya, Malaysia. [github]

• [C.2] C. Pham and K. Kashihara (2022, March), A Hybrid Controller for Multiple Drug Infusion in Heart Failure using Convolutional Neural Network. In Proceedings of IEEE LifeTech 2022. [paper] [github]
• [C.1] Nguyen, M. T. D., Pham, C. Q., Nguyen, H. N., Le, K. Q., & Huynh, L. Q. (2022) A Statistical Approach to Evaluate Beta Response in Motor Imagery-Based Brain-Computer Interface. In IFMBE Proceedings of BME8. [paper]