Making AI work
for human health.

PhD in AI Convergence

2017 - 2021

Chonnam National UniversityGwangju, S. Korea

“A Study on Prediction of Alzheimer's Disease Progression Using Bidirectional-Progressive Recurrent Networks”. 2020.

MS in Electrical Engineering

2015 - 2017

Kookmin UniversitySeoul, S. Korea

“Distance Estimation Considering Varying Walking Speed for Smartphone PDR Using Adaptive Step-Length Estimation”. 2016

BE in Telecommunications

2010 - 2015

Hochiminh City University of TechnologyHochiminh, Vietnam

“Impact of Channel Estimation Error on the Performance of Relay Selection in Cognitive Radio Networks”. 2014

Instructor

UT Health Science Center at San Antonio San Antonio, Texas, USA

May 2026 – Present

• Developing trustworthy, fairness-aware AI for brain age estimation and Alzheimer's disease prediction, with attention to demographic bias and generalizability across diverse populations.
• Advancing multimodal and foundation models that integrate neuroimaging, clinical, and biomarker data to study brain aging and early neurodegenerative change.

Post-doctoral Research Fellow

University of Texas Health Science Center San Antonio, Texas, USA

May 2024 – May 2026

• Developed trustworthy AI models for dementia prediction across populations using few-shot learning.
• Built a multimodal self-supervised foundation model for early dementia prediction, focusing on generalizability, interpretability, and fairness.

Post-doctoral Research Fellow

Chonnam National University Gwangju, S. Korea

2021-2024

• Development of DL model to predict the progression of Alzheimer's Disease;
• Development of DL model to recognize human emotion from multiple modalities (visual, audio, text, neuro-physiological signals, personality, etc.) and social interaction context.

Teaching Assistant

Chonnam National University Gwangju, S. Korea

2021-2023

• Supporting and evaluating students in class Advanced Project for AI Convergence.

Research Assistant

Chonnam National University Gwangju, S. Korea

2020 (5 months)

• Research and analyze the applications of AI in enhancing the security of biometrics authentication;
• Research on context-based emotion recognition in the wild.

Research Visit

University of Oulu Oulu, Finland

2019 (2 weeks)

• Visiting the Center for Machine Vision and Signal Analysis at the University of Oulu to learn the professional working environment here.
• Discussing and sharing opinions about current trend on emotion recognition topics using ML/DL;

Teaching Assistant

Chonnam National University Gwangju, S. Korea

2018 (4 months)

• Conduct necessary exercises of Data Structures course;
• Provide an overall understanding of the data structures as well as an understanding of the classroom process;
• Directly identify students' problems and help them to understand concepts and tools for working with data and have experience in analyzing real data.

Research Assistant

Kookmin University Seoul, S. Korea

2015 (6 months)

• Working as a researcher in Smart Embedded System Lab (SESL);
• Doing a project of LED-color display through audio jack communication.

Sport Festival

Vietnamese Student Association in Korea S. Korea

2015-2016-2018

• Participating an annual sport festival hold by the Vietnamese Students' Association in Korea (VSAK) to have a meet, communication and solidarity of student community.

Spring Internship

Southern Power Information Technology Company Hochiminh, Vietnam

2014 (3 months)

• Learning about the organizational structure of the IT company;
• Using devices in server room and deployment of software applications using C-sharp.