Dr. Thanh-Nghia Nguyen | HCMC University of Technology and Education | Vietnam
Dr. Nguyen Thanh Nghia (PhD) is a dedicated researcher and educator in Electronics and Biomedical Engineering at Ho Chi Minh City University of Technology and Education. With expertise in Biomedical Signal Processing, Artificial Intelligence, and Electronic Engineering, his research focuses on ECG signal analysis, deep learning applications, and medical device development. Dr. Nghia has contributed extensively through publications and research projects, particularly in ECG noise elimination and heart disease classification. His work bridges the gap between AI and healthcare, advancing biomedical engineering for better patient diagnostics and monitoring. 🌍📡🧠
Professional Profile:
ORCID
Suitability for Best Researcher Award
Dr. Nguyen Thanh Nghia is a strong candidate for the Best Researcher Award due to his outstanding contributions to biomedical signal processing, artificial intelligence applications in healthcare, and electronic engineering. His research has significantly impacted medical diagnostics, ECG signal enhancement, and AI-driven healthcare solutions, making his work highly valuable in both academia and industry.
Education & Experience🎓🔬
📌 PhD in Electronics Engineering – Ho Chi Minh City University of Technology and Education (2016-2023)
📌 Master’s in Electronics Engineering – Ho Chi Minh City University of Technology and Education (2009-2012)
📌 Bachelor’s in Electrical & Electronics Engineering – Ho Chi Minh City University of Technology and Education (2002-2007)
🔧 2007-2010 – Engineer, TNHH Wonderful Sai Gon Electrics (WSE), Vietnam (Machine Maintenance, Repair & ISO Management)
📡 2010-2017 – Lecturer, Cao Thang Technical College (Electronics Engineering)
👨🏫 2017-Present – Lecturer & Researcher, Ho Chi Minh City University of Technology and Education (Electronics & Biomedical Engineering)
Professional Development 🚀
Dr. Nguyen Thanh Nghia continuously enhances his expertise in Biomedical Engineering and Artificial Intelligence. He has led multiple research projects, developing ECG noise filters, heart disease classification systems, and medical signal processing tools. His work integrates machine learning and deep learning models for improved healthcare applications. Dr. Nghia actively collaborates with international scholars, publishing in high-impact journals 📑. He also mentors students and professionals, shaping the future of biomedical technology. His passion for innovation in AI-driven medical devices is evident in his contributions to academia and industry, fostering advancements in diagnostic healthcare systems. 🏥💡
Research Focus 🔍📊
Dr. Nguyen Thanh Nghia’s research primarily focuses on Biomedical Signal Processing, with an emphasis on ECG signal analysis, artifact removal, and AI-driven medical diagnostics. His work in deep learning-based heart disease classification contributes to the automation of medical diagnoses and remote health monitoring 🏥📡. He also explores wearable sensor technology, EEG-based brain-computer interfaces (BCI), and AI applications in healthcare 🤖. Through his innovative research, Dr. Nghia aims to enhance health monitoring systems, reduce diagnostic errors, and advance medical signal processing techniques, ultimately improving patient care and medical technology. 📉💙
Awards & Honors 🏆🎖️
🏅 Best Research Paper Award – Recognized for outstanding contributions to Biomedical Signal Processing & AI applications 📝
🏅 Outstanding Researcher Award – Ho Chi Minh City University of Technology and Education (for excellence in AI-driven ECG analysis) 📡
🏅 Top Innovator in Medical Engineering – Honored for advancements in ECG noise elimination and AI-based medical diagnostics 🏥🧠
🏅 Young Scientist Recognition – For impactful publications in deep learning and medical signal processing 📊📚
Publication Top Notes:
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📌 A VGG-19 model with transfer learning and image segmentation for classification of tomato leaf disease – TH Nguyen, TN Nguyen, BV Ngo 🔗 Cited by: 69
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📌 A deep learning framework for heart disease classification in an IoTs-based system – TH Nguyen, TN Nguyen, TT Nguyen 🔗 Cited by: 24
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📌 Detection of EEG-based eye-blinks using a thresholding algorithm – DK Tran, TH Nguyen, TN Nguyen 🔗 Cited by: 17
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📌 Artifact elimination in ECG signal using wavelet transform – TN Nguyen, TH Nguyen, VT Ngo🔗 Cited by: 17
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📌 Deep Learning Framework with ECG Feature-Based Kernels for Heart Disease Classification – THN Thanh-Nghia Nguyen 🔗 Cited by: 16