CV

Education

PhD Student in Communication Engineering, VNU University of Engineering and Technology, Aug 2025 – Present
- Thesis: Spectral analysis and federated learning for neurological disorders
- Supervisors: Prof. Nguyen Linh Trung, Prof. Karim Abed-Meraim
Master’s Degree in Communication and Data Engineering, Paris-Saclay University, Nov 2022 – Jan 2024
- Thesis: “Point Cloud Compression for Humans and Machines”
Bachelor of Science in Electronics and Communication Engineering, VNU University of Engineering and Technology, Sep 2016 – Jun 2020
- Thesis: “Non-contact Measurement of Heart and Respiration Rates System”

Lecturer, VNU University of Engineering and Technology, Aug 2020 – Present, Hanoi, Vietnam
- Teach courses: Introduction to Programming (INT1008), Data Structures and Algorithms (INT2210), Data Analysis with Python (AIT2003), Digital Image Processing and Analysis (AIT3002), Signals and Systems (ELT2035), and Digital Signal Processing (ELT3144).
- Co-supervised five undergraduate theses on medical imaging, machine learning, and deep learning topics.
- Cooperate with other lecturers to develop lecture materials and tailor teaching strategies.

CT Image Analysis using CNN for Liver Cancer Treatment, Aug 2020 – Sep 2024 (NAFOSTED)
- Medical images compression for teleinterventions: 2D U-Net-based organ-specific compression.
- Automatic scan range generation: YOLOv4 + Gaussian liver motion model, reducing radiation dose by 14.5%.
- Precise Ablation Zone Segmentation: 3D nn-UNet + RITM interactive refinement; state-of-the-art accuracy.
AI-based methods for chromosome analysis, Jan 2022 – Jul 2022
- EfficientNet-based classification of chromosome type and polarity, embedded on Biochrom software.
Objects Segmentation in CT Images, Jan 2022 – May 2023 (VINIF)
- Needle localization/segmentation: YOLOv4 + 3D patch-based CNN.
- Liver-lung shunt fraction quantification: Elastix registration + 3D nn-UNet.
EEG Spectral Analysis for Neurological Diseases, May 2024 – Present
- Collaboration: VNU-UET, Bach Mai Hospital, and Vrije Universiteit Brussel.
- Alzheimer’s disease classification using EEG topographic maps and deep learning.

Signal Processing: Filtering, ICA, artifact removal, PSD, Fourier/Wavelet transform, EMD, Tensor decomposition
Machine Learning: scikit-learn, PyTorch (deep learning model implementation, training, and testing)
Medical Imaging: MeVisLab, ITK, 3D Slicer
Programming: Python, C++, MATLAB
Other: Academic writing, Teaching

Student Member, IEEE SPS Vietnam Chapter, Sep 2021 – Present
- Organization of IEEE Technical Meetings and IEEE SSP Workshop 2023.
Treasurer, APSIPA Vietnam Chapter, Sep 2023 – Sep 2024
- Organization of APSIPA Workshop on Signal and Information Processing (SIP) in Vietnam.

Second prize at the scientific research conference for students, VNU-UET, 06/2020
Best thesis for the graduation project, VNU-UET, 07/2020
Master/PhD Scholarship of Vingroup Innovation Foundation (VINIF), 2022–2023