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Research Interests
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.
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News
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[08/2025]
We have sucessfully secured 60,000 USD grant from the
Neuroscience Capacity Accelerator For Mental Health (NCAMH) 2025,
funded by
IBRO
x
Wellcome.
I will serve as the Technical Lead and Project Coordinator for this study initiative on mental health interventions in Vietnam.
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[07/2025] I conduct a short-term visiting research @ School of Computer Science, University of Birmingham (UK).
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[04/2025] I launched NEURAI project as a Technical Lead, collaborating with VNU HCMIU, RMIT Vietnam, Nguyen Tri Phuong Hospital, and Menthy Clinics
to collect a dataset on Vietnamese mental health patients, funded by
VISHC.
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[01/2025] I was awarded 3500 USD research grant from IEEE Signal Processing Society (SPS).
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[08/2024]
I started the CS PhD program @ VinUniversity, advised by
Dr. Hieu Pham,
and
Dr. Huong Ha
to conduct part of the project funded by
VISHC,
title as:
"Developing a unified, low-cost, self-care mobile health application for common disease screening and early detection in low-and middle-income countries"
[Read more].
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[11/2023]
I started working @
School of Biomedical Engineering, VNU HCMIU,
as a Technical Lead for the funded by
Vietnam Ministry of Science and Technology (KC-4.0-07/19-25).
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[09/2023]
I succesfully defensed my M.E. thesis:
"Remote Photoplethysmography Assessment Using Deep Learning"
@ GSISE, Ritsumeikan University
(Chair: Dr. Ruck Thawonmas;
Advisor: Dr. Koji Kashihara).
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[08/2022]
I was awarded 2nd prize in Kyoto Startup Weekend Competition; sponsored by
KYOTO Design Lab x Techstars.
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[06/2022]
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 AI .
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[09/2021]
I started M.E. course @ Graduate School of Information Science and Engineering, Ritsumeikan University (Japan)
with the fully-funded Monbukagakusho (MEXT) Scholarship
by the Japanese Gonvernment.
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Publications
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[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]
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[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]
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Conference Talks
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[12/2024]
Development and Evaluation of Multimodal AI Framework for Mental Health Assessment: A Preliminary Study.
At the 17th International Conference on Brain Informatics (BI 2024), Bangkok, Thailand.
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[07/2024]
Evaluation of Cue-based Protocol Implementation in Motor Imagery-based Brain-Computer Interface Experiments.
At the NeuroCoB Society's Brainconnects (NSNC 2024), Putrajaya, Malaysia.
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[10/2019]
Exercise Physiology: Improving Stationary Bike Training Performance Using Heart Rate Variability.
At the International Symposium on Applied Science (ISAS 2019), HCMC, Vietnam.
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[03/2019]
Exercise Physiology: Cardiac Endurance Training for Students by Stationary Bike..
At the South East Asian Technical University Consortium (SEATUC 2019), Hanoi, Vietnam.
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Teaching Assistant
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[Spring 2025]
Object Oriented Programming and Data Structures
@ CECS, VinUniversity.
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[Fall 2024]
Computer Vision
@ CECS, VinUniversity.
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[Fall 2022]
Experiments in Artificial and Natural Intelligence
@ CISE, Ritsumeikan University.
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