Bui Duc Manh

About Me

I’m currently a Research Associate at the School of Electrical and Electronic Engineering (EEE), Nanyang Technological University (NTU), Singapore, working in Bio-inspired AI and Robotics (BioRAI) Lab with Asst. Prof. Lin Wang.

Previously, in early 2025, I received my M.Sc. research degree from the University of Technology Sydney (UTS), Australia, where I worked within 5G/6G Wireless Communications and IoT Networking Lab, specifically as part of the AI for Mobile Edge Networks (AI4MEN) Group, under the supervision of Assoc. Prof. Hoang Dinh and Assoc. Prof. Diep Nguyen.

Before that, in 2023, I obtained my B.Sc. degree in electronics and communication engineering from the Vietnam National University-University of Engineering and Technology (VNU-UET), Vietnam, supervised by Dr. Tran Thi Thuy Quynh.

Research Interests

Recently, I’ve been working on AI reasoning models based on insights from neuroscience, focusing on Reinforcement Learning Alignment and 3D Memory for Embodied Agent. During my time at UTS Australia, I focused on Privacy-Preserving Deep Learning using Homomorphic Encryption and Federated Learning to solve privacy problems in networking systems, including IoT and edge computing. Before this, at VNU-UET, I worked on the application of multimodal AI to blockchain security, with a focus on cyberattack detection at both the network layer and bytecode-level of the Ethereum system.

News

• [May. 2025] I start to work in the BioRAI Lab, EEE, NTU as a Research Associate.
• [Jan. 2025] Our paper “Privacy-Preserving Cyberattack Detection in Blockchain-Based IoT Systems Using AI and Homomorphic Encryption” is accepted to the IEEE Internet of Things Journal (Q1, IF=8.2).
• [Dec. 2024] I successfully defended my M.Sc. thesis, entitled “Advanced Machine Learning for Privacy-Preserving Intrusion Detection in IoT Networks”.
• [Jul. 2024] Our paper “Homomorphic Encryption-Enabled Federated Learning for Privacy-Preserving Intrusion Detection in Resource-Constrained IoV Networks” is accepted to the IEEE Vehicular Technology Conference-Fall, Otc. 2024 (VTC2024-Fall).
• [Sep. 2023] I start my M.Sc. research journey at UTS.

Selected Publications

Professional Services

Reviewers

• IEEE Transactions on Mobile Computing (TMC), 2025
• IEEE Communications Magazine (COMMAG), 2025

Teaching

• Tutor (Lab Instructor) for IoT Security (42037), UTS, 2024-2025
• Tutor (Lab Instructor) for Cybersecurity for Mobile Platforms (42036), UTS, 2024

All Publications

Preprints

• [P1] N. V. Duc , B. D. Manh, Q. T. Luu, D. T. Hoang, N. V. Linh, and D. N. Nguyen, "Secure and Efficient UAV-Based Face Detection via Homomorphic Encryption and Edge Computing," 2025 [arxiv].

Theses

• Master's Thesis, "Advanced Machine Learning for Privacy-Preserving Intrusion Detection in IoT Networks," 2025 [pdf].

Journals

• [J2] M. A. Hassan, M. B. Jamshidi, B. D. Manh, N. H. Chu, C. H. Nguyen, N. Q. Hieu, C. T. Nguyen, D. T. Hoang, D. N. Nguyen, N. V. Huynh, M. A. Alsheikh, and E. Dutkiewicz, "Enabling Technologies for Web 3.0: A Comprehensive Survey," Elsevier Computer Networks (accepted) (IF=4.4, Q1) [arxiv].

• [J1] B. D. Manh, C. H. Nguyen, D. T. Hoang, D. N. Nguyen, M. Zeng, and Q. V. Pham, "Privacy-preserving cyberattack detection in blockchain-based IoT systems using Ai and Homomorphic Encryption," IEEE Internet of Things Journal , vol. 12, no. 11, pp. 16478-16492, June 2025 (IF=8.2, Q1) [link] [arxiv].

Conferences

• [C3] B. D. Manh, C. H. Nguyen, D. T. Hoang, and D. N. Nguyen, "Homomorphic Encryption-Enabled Federated Learning for Privacy-Preserving Intrusion Detection in Resource-Constrained IoV Networks," IEEE Vehicular Technology Conference, October 2024, Washington DC, USA.

• [C2] C. H. Nguyen, B. D. Manh, D. T. Hoang, D. N. Nguyen, and E. Dutkiewicz, "Towards Secure AI-empowered Vehicular Networks: A Federated Learning Approach using Homomorphic Encryption," IEEE Vehicular Technology Conference, October 2024, Washington DC, USA.

• [C1] D. H. Son, B. D. Manh, T. V. Khoa, N. L. Trung, D. T. Hoang, H. T. Minh, Y. Alem and L. Q. Minh, "Semi-Supervised Learning for Anomaly Detection in Blockchain-based Supply Chains," IEEE International Symposium on Communications and Information Technologies , September 2024, Bangkok, Thailand.

Book Chapters

• [B2] B. D. Manh, N. Q. Hieu, D. T. Hoang, D. N. Nguyen, and E. Hossain, "Machine Learning or Cyber-Attack Detection in IoT Networks: An Overview," Advanced Machine Learning for Cyber-Attack Detection in IoT Networks, 2025 [link].

• [B1] N. Q. Hieu, B. D. Manh, D. T. Hoang, D. N. Nguyen, and E. Hossain, "Challenges and Potential Research Directions for Machine Learning-based Cyber-Attack Detection in IoT Networks," Advanced Machine Learning for Cyber-Attack Detection in IoT Networks, 2025 [link].

Mentors

In addition to the guidance from my supervisors, I’ve had the opportunity to learn from and work with the following mentors:

• Dr. Nguyen Quang Hieu – research advisor during my time at UTS
• Ph.D. Candidate Chi-Hieu Nguyen – technical advisor on Homomorphic Encryption during my research at UTS
• Ph.D. Candidate Do Hai Son – main mentor during my undergraduate study at VNU-UET

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