I lead cutting-edge research in time series analysis, artificial intelligence, and information security at Ton Duc Thang University, Vietnam. As Director of the Center for Applied Information Technology and Social Development Training Center, my work bridges theoretical innovation with practical applications in privacy protection, blockchain technology, and machine learning.
My research focuses on developing innovative solutions at the intersection of artificial intelligence, data science, and information security, with applications spanning healthcare, finance, and IoT systems.
Advanced techniques for analyzing temporal patterns in complex datasets, including financial forecasting, sensor data analysis, and predictive modeling using deep learning architectures like Transformers and Koopman operators.
Exploring intelligent systems and autonomous decision-making through neural networks, evolutionary algorithms, and cognitive computing. Focus on AI ethics, explainable AI, and human-AI collaboration in real-world applications.
Developing novel machine learning frameworks for real-world applications, including near-infrared spectroscopy for food quality assessment, financial time series forecasting, lightweight transformers, and intelligent decision support systems.
Context-aware privacy protection systems for mobile applications, particularly in healthcare domains. Winner of National Youth Innovation Award 2025 for the CI2P-MedHFDroid framework that protects vulnerable populations' personal data.
Designing secure, decentralized frameworks for IoT ecosystems and personal data trading. Research includes blockchain-enabled solutions for wearable devices and healthcare data management with emphasis on transparency and security.
Exploring the frontiers of quantum algorithms and their applications in machine learning and cryptography. Investigating quantum-enhanced optimization techniques for complex computational problems.
Leading and contributing to funded research projects advancing the frontiers of time series analysis and AI applications
Developing advanced deep learning architectures for accurate time series forecasting across multiple domains including finance, energy, and healthcare. Focus on lightweight transformer models and novel attention mechanisms for improved prediction accuracy.
Advancing time series classification through Koopman operator theory combined with deep learning. Exploring novel neural architectures for multivariate time series classification with applications in medical diagnosis and industrial monitoring.
Developed a comprehensive WebGIS platform to facilitate investment promotion and decision-making for potential investors in Gia Lai Province, integrating geospatial data with economic indicators.
Contributed to research on advanced deep learning techniques for time series forecasting, collaborating with researchers from VNU-HCM to develop scalable prediction models.
Research Impact: These projects have resulted in multiple high-impact publications in Q1 journals and have contributed to advancing the state-of-the-art in time series analysis and AI applications.
High-impact research published in leading international journals and conferences
For a complete list of publications, visit my profiles:
Passionate about nurturing the next generation of computer scientists and fostering innovation through collaborative research
Undergraduate & Graduate • Design patterns, software architecture, agile methodologies, and modern development practices
Undergraduate • Full-stack development, RESTful APIs, modern frameworks, database design, and cloud deployment
Undergraduate • C# programming, ASP.NET Core, Entity Framework, and enterprise application development
Undergraduate • Java programming, Spring Framework, Hibernate, and enterprise Java applications
Graduate • Supervised and unsupervised learning, neural networks, model evaluation, and practical applications
Graduate • Advanced neural architectures, CNNs, RNNs, Transformers, and cutting-edge research topics
Prospective students: I'm always looking for motivated graduate students interested in AI, machine learning, and information security. If you're interested in working with me, please send your CV and research interests to my email.
Active contributions to the academic community through leadership, peer review, and professional service
Recognition for contributions to computer science research and innovation
Vietnam
Awarded for outstanding research contribution in developing the CI2P-MedHFDroid framework—a context-aware privacy protection system for medical applications. The 32-month project demonstrated significant impact in protecting vulnerable populations' personal data through AI-driven solutions.
Ton Duc Thang University
Recognized for outstanding achievements in emulation movement during 2020-2025. Excellence in research, leadership, and institutional development.
Technical University of Ostrava, Czech Republic
Doctoral degree in Computer Science awarded with distinction for research excellence in Time series data mining.
Featured in national media for research contributions and educational technology initiatives
Coverage of the CI2P-MedHFDroid framework and National Youth Innovation Award 2025
Read article →Featured coverage of CI2P-MedHFDroid research and National Youth Innovation Award 2025 on Vietnam's official national web portal
Read article →Expert analysis on the dangers of AI-generated deepfake videos and how to identify and protect against them
Read article →Đưa tin về công trình CI2P-MedHFDroid và Giải thưởng Sáng tạo Thanh niên Quốc gia 2025 trên Cổng thông tin điện tử Quốc gia
Read article →Profile and research achievements in international journals and conferences
Read article →Expert commentary on educational technology and user experience in school websites
Read article →Analysis of misinformation and social media behavior from information security perspective
Read article →Expert guidance on online learning safety and device security for students
Read article →Research insights on factors influencing university selection decisions
Read article →Interested in collaboration, research opportunities, or have questions? Feel free to reach out
CAIT, Ton Duc Thang University
19 Nguyen Huu Tho Street
Tan Hung Ward
Ho Chi Minh City, Vietnam
I'm always open to discussing research opportunities, potential collaborations, or speaking engagements. Whether you're a student interested in graduate studies, a researcher looking to collaborate, or an industry partner seeking expertise in AI and security, please don't hesitate to reach out.
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