Federated Learning for Cyber Physical Systems: A Comprehensive Survey
IEEE Communications Surveys & Tutorials
Investigating intelligent systems that learn collaboratively while protecting privacy. Specializing in Federated Learning, Quantum-Inspired Algorithms, and Privacy-Preserving Technologies.
Bridging cutting-edge AI research with real-world privacy protection
I'm a passionate AI researcher pursuing my PhD at Deakin University, specializing in privacy-preserving machine learning systems. My work focuses on enabling AI models to learn collaboratively across distributed environments while maintaining strict privacy guarantees.
With a background spanning from Vietnam's dynamic tech ecosystem to Australia's world-class research institutions, I bring a unique perspective to solving complex challenges in AI ethics and security.
Advancing the frontier of privacy-preserving artificial intelligence
Developing distributed learning systems that enable multiple parties to collaboratively train machine learning models without sharing raw data, ensuring privacy while maintaining model performance.
Creating AI systems that maintain high performance while protecting user privacy through advanced cryptographic techniques, differential privacy, and secure multi-party computation protocols.
Leveraging quantum computing principles to enhance classical machine learning algorithms, improving optimization efficiency and enabling new approaches to complex computational problems.
Contributing to the scientific community through peer-reviewed research
IEEE Communications Surveys & Tutorials
IEEE International Conference on Communications 2025 (ICC2025)
IEEE Transactions on Artificial Intelligence
International Conference on Computing, Networking and Communications (ICNC)
IEEE Internet of Things Journal
2023 IEEE Virtual Conference on Communications (VCC)
IEEE Transactions on Artificial Intelligence
Open to research collaborations, speaking opportunities, and meaningful conversations
I'm always excited to connect with fellow researchers, industry professionals, and anyone passionate about the ethical development of AI technologies. Whether you're interested in collaboration, have questions about my research, or simply want to discuss the future of privacy-preserving AI.