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Hoang-Dieu Vu

Lecturer and researcher in Machine Learning, Wearable AI, Digital Health, and Intelligent Sensor Systems.

Faculty of Electrical and Electronic Engineering, Phenikaa University · Hanoi, Vietnam

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Hoang-Dieu Vu portrait

News

Aug 2026
PhD dissertation defense in Computer Science at the Graduate University of Science and Technology, VAST.
2026
GA-SPARF published in Sleep and Breathing, focusing on accelerometer-based sleep-position monitoring.
2025
CGB-Net published in Computers, Materials & Continua for enhanced sleep-posture classification.
2024
Awarded the VINIF PhD Scholarship from Vingroup Innovation Foundation.

Research

My work develops machine-learning methods for real-world sensing and health applications, with an emphasis on robust models that can operate on wearable, inertial and physiological signals.

Theme 01

Wearable AI & Digital Health

Sleep-posture recognition, respiration-rate estimation, physiological monitoring and AI-assisted healthcare using wearable sensors.

Theme 02

Machine & Deep Learning

Representation learning, lightweight deep models, multitask learning, continual learning and optimization for limited or streaming data.

Theme 03

Intelligent Sensor Systems

IMU/accelerometer analytics, activity recognition, embedded sensing and robust intelligent systems for practical deployment.

Selected Publications

GA-SPARF: Genetic algorithm-tuned random forest for sleep position monitoring using accelerometer
Hoang-Dieu Vu et al.
Sleep and Breathing, 2026.
Scholar
CGB-Net: A Novel Convolutional Gated Bidirectional Network for Enhanced Sleep Posture Classification
Hoang-Dieu Vu et al.
Computers, Materials & Continua, 2025.
Scholar
Human sleep position classification using a lightweight model and acceleration data
Hoang-Dieu Vu et al.
Sleep and Breathing, 2025.
Scholar
Predicting Respiration Rate Using Acceleration Sensors and LSTM: A Novel Approach
Hoang-Dieu Vu, Duc-Nghia Tran, Ly Khanh Can, et al.
IEEE ICCAIS, 2023.
Scholar
Monitor Respiration Rate and Sleep Position Using Multi-task Learning
Hoang-Dieu Vu et al.
Springer, 2023.
Scholar

View full publication list on Google Scholar →

Students & Supervision

Selected student research outcomes

  • Supervised student research on distributed learning for sensor data, recognized at faculty and university research competitions.
  • Supervised lightweight machine-learning work for respiratory-rate estimation using accelerometer data.
  • Supervised projects on deep-learning-based Alzheimer’s detection and AI for marine ecosystem conservation.

Current supervision interests

  • Wearable and mobile sensing
  • Digital health and sleep analytics
  • Lightweight / edge AI
  • Continual and multitask learning
  • AI for environmental sensing

Teaching

Courses

  • Mathematics for Artificial Intelligence
  • Introduction to Data Science and Artificial Intelligence
  • Fundamentals of Reinforcement Learning
  • Deep Reinforcement Learning

Additional teaching

  • Natural Language Processing
  • Automatic Speech Recognition
  • Student research mentoring and project supervision

Awards & Academic Highlights

  • VINIF PhD Scholarship, Vingroup Innovation Foundation, 2024.
  • Best Bachelor Thesis Presentation Award, Hanoi University of Science and Technology, 2018.
  • Lotte Scholarship for high-performing IT Engineering students, 2018.
  • Six full-tuition scholarships at Hanoi University of Science and Technology, 2014–2018.

Curriculum Vitae

CV & Research Profile

Download a concise CV or the full research CV directly from this GitHub Pages site.

Download CV Full Research CV

Contact

Email: vuhoangdieu@gmail.com

Affiliation: Faculty of Electrical and Electronic Engineering, Phenikaa University, Hanoi, Vietnam.