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Research Interests
I have a strong interest in data-driven healthcare research integrating signal processing and
machine learning,
with a focus on developing efficient AI for biomedical applications.
Current Research Focus: Digital phenotyping, AI for mental health, multimodal biosignal analysis,
biomedical signal processing, and development of Software as a Medical Device (SaMD).
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News
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[09/2026]
I will join Speech Technology Group,
led by Prof. Mark
Hasegawa-Johnson.
I will work on the NIH-funded
LittleBeats
project.
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[08/2026]
I started M.S. course @ ECE, UIUC,
under the fully funded the
Vingroup Science and Technology Scholarship Program for Overseas Study;
by Vingroup.
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[04/2026]
I will attend the Complexity in Mental Health Workshop (Sicily, Italy) to learn and share
my ongoing research, with a travel grant awarded by IBRO.
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[03/2026]
Our team at VinUniversity has secured a place among the Top 30 of the QVIC 2026 program; by
Qualcomm.
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[08/2025]
We have sucessfully secured 60,000 USD grant from the NCAMH 2025,
funded by
IBRO x Wellcome.
I will serve as the Technical Lead for this study initiative on mental health interventions in
Vietnam.
[Read
more].
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[07/2025] I conduct a visiting @ School of Computer Science, University of Birmingham (UK),
to conduct short-term research discussion on speech mental health, advised by
Dr. Melanie Jouaiti.
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[04/2025] I launched NEURAI project (funded by VISHC, VinUniversity) as a Technical
Lead.
We developed a mobile platform for multimodal digital phenotypes acquisition and collect a dataset
on Vietnamese mental health patients.
[
Facebook page
]
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[01/2025]
I was awarded 3500 USD travel grant from IEEE Signal Processing Society (SPS).
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[08/2024]
I received fully-funded fellowship by
VISHC, VinUniversity
to conduct the CS PhD project about digital mental health application
(PIs:
Dr. Hieu Pham,
Dr. Huong Ha)
[Website]
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[11/2023]
I started working @
VNU-HCMC International University,
served as a Technical Lead for part of the project, funded by
Vietnam Ministry of Science and Technology (KC-4.0-07/19-25).
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[09/2023]
I succesfully defensed my dissertation:
"Remote Photoplethysmography Assessment Using Deep Learning"
@ GSISE, Ritsumeikan University
(Chair: Dr. Ruck
Thawonmas).
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[08/2022]
I was awarded 2nd prize in Kyoto Startup Weekend Competition; by
KYOTO Design Lab x Techstars.
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[06/2022]
I joined Scadinavian startup HĀTO x
Black VC as a part-time engineer,
worked in the field of cardiology-based bio-signal processing and machine learning .
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[09/2021]
I started M.E. training course @ GSISE, Ritsumeikan University (Japan)
with the fully-funded MEXT Scholarship
by the Japanese Gonvernment.
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My works
Manuscripts
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Cuong Q. Pham, Duong T. H. Vu, Long K. H. Nguyen, Hung K. Nguyen, Thu M. N. Phan, Dung T.
T. Duong, Duy T. H. Le, Nicolas Vuillerme, Huong T. T. Ha, & Hieu H. Pham.
(2026)
A multimodal digital phenotyping dataset for depression and anxiety assessment under
free-living conditions.
Scientific Data
[Under Review]
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Tuong. H. N., Long. K. H. N., Cuong Q. P., Hung P. N., Minh D. T. N., & Huong, T. T. H
(2026)
Cue Design and Semantic Feedback Improve Temporal Consistency of Motor Imagery
in EEG-Based Brain–Computer Interfaces.
Frontiers
[Under Review]
Publication
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Cuong Q. Pham et al.
(2026)
A multimodal digital phenotyping dataset for depression and anxiety assessment under free-living
conditions (1.0.2) [Data set]
Zenodo. DOI: 10.5281/zenodo.21969065
[dataset]
[github]
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Pham, Q. C., Vu, H. T. D., Ha, T. T. H., & Pham, H. H. (2026),
Neurai-VN Benchmark: Standardized Machine Learning Models
for Multimodal Digital Phenotyping in Mental Health Classification.
arXiv preprint arXiv:2607.25232
[arxiv]
[github]
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Vu, H. T. D., Pham, Q. C., & Pham, H. H. (2026),
VISHC at PsyDefDetect: Mitigating Data Scarcity in Psychological Defense
Classification with Context-Aware Synthetic Augmentation.
In Proceedings of the BioNLP 2026 (Shared Tasks) (pp. 77-86).
[paper]
[github]
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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]
[github]
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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.
[pdf]
[github]
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Selected Talks
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[04/2026]
Neuroplastic Change During Cognitive-Behavioral Therapy for Depression and Anxiety: A Longitudinal
Study.
At the IBRO Complexity in Mental Health, Sicily, Italy.
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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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Teaching Assistant
CECS, VinUniversity
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Object Oriented Programming and Data Structures (COMP1020):
Spring 2025 | Spring 2026
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Introduction to Programming (COMP1010):
Spring 2025 | Fall 2025
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Computer Vision (COMP3040):
Fall 2024 | Fall 2025
CISE, Ristumeikan University
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Experiments in Artificial and Natural Intelligence:
Fall 2022
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