ngocdaumai

Hi. I am Ngoc-Dau Mai
Mail: ngocdaumai@gmail.com
LinkedIn: Mai Ngoc Dau
Orcid: 0009-0005-7027-1505
Google Scholar: Ngoc-Dau Mai
ResearcherGate: Ngoc-Dau Mai
Research Areas: brain-computer interface, computer vision, quantum machine learning, and LLMs

Biography

Ngoc-Dau Mai received the B.E. degree in electronics and telecommunications from Hanoi University of Science and Technology, Vietnam, in 2018, and the M.S. degree from the Department of Artificial Intelligence Convergence at Pukyong National University, South Korea, in 2021, where he is currently pursuing his Ph.D. degree. He was a Senior AI Research Engineer at VisionIn, Seoul, South Korea, from 2021 to 2023. His research interests include wearable healthcare, brain–computer interface systems, quantum machine learning, computer vision, and large language models (LLMs).

Education

[2023 - now] Ph.D candidate in Artificial Intelligence Convergence, Pukyong National University (PKNU), South Korea.
[2019 - 2021] M.E in Artificial Intelligence Convergence, Pukyong National University (PKNU), South Korea.
[2013 - 2018] B.E in Electronics & Telecommunications Engineering, Hanoi University of Science and Technology (HUST), Vietnam.

Experience

[Sep 2023 - now] AI Researcher, AIoT Laboratory, Busan, South Korea.
[Sep 2021 - Aug 2023] Senior AI Engineer, VisionIn, Seoul, South Korea.
[Sep 2019 - Aug 2021] AI Researcher, AIoT Laboratory, Busan, South Korea.
[Aug 2018 - Aug 2019] Engineer, Viettel High Technology Industries Corporation, Hanoi, Vietnam.

Selected Publications

Ngoc-Dau Mai, Yudi April Nando, and Wan-Young Chung. "Wearable Ear-Centric Physiological Sensing with On-Edge Physics-Informed Neural Networks for Negative Mental State Detection." IEEE Internet of Things Journal (Year: 2025) {Q1, IF 8.9, Top 4.1%}.
Ngoc-Dau Mai, Ha-Trung Nguyen, and Wan-Young Chung. "Multimodal Driver Drowsiness Detection using Facial Expressions and Ear-EEGs with a Lightweight Auto-Denoising Network." IEEE Transactions on Intelligent Transportation Systems (Year: 2025 | Volume: 26, Issue: 6) {Q1, IF 8.4, Top 2.5%}.
Ngoc-Dau Mai and Wan-Young Chung. "On-Chip Mental Stress Detection: Integrating a Wearable Behind-the-Ear EEG Device with Embedded Tiny Neural Network." IEEE Journal of Biomedical and Health Informatics (Year: 2025 | Volume: 29, Issue: 3) {Q1, IF 6.8, Top 3.7%}.
Ngoc-Dau Mai, Yudi April Nando, Yunli Lee, and Wan-Young Chung. "Quantum Stress Monitoring: Wearable In-Ear EEG Powered by Hybrid Quantum-Classical Convolutional Neural Networks."IEEE Transactions on Instrumentation and Measurement (Year: 2025) {Q1, IF 5.9, Top 8.2%}.
Ngoc-Dau Mai, Ha-Trung Nguyen, and Wan-Young Chung. "Deep Learning-based Wearable Ear-EEG Emotion Recognition System with Superlets-based Signal-to-Image Conversion Framework." IEEE Sensors Journal (Year: 2024 | Volume: 24, Issue: 7) {Q1, IF 4.3, Top 19.1%}.