About Me


I’m a final-year Ph.D. student at the School of Electrical and Data Engineering, University of Technology Sydney (UTS) where I am fortunate to be supervised by Associate Professor Hoang Dinh and Associate Professor Diep Nguyen. Before that, I completed a Master’s in Computer Science and a Bachelor’s in Information Systems at the School of Information and Communication Technology, Hanoi University of Science and Technology.

Research Interests


My current research focuses on advancing privacy-preserving technologies for machine learning and secure data analytics. I explore cutting-edge methods such as federated learning, homomorphic encryption, differential privacy, and secure multiparty computation to enhance data security while enabling robust and efficient computations. My ultimate goal is to design innovative solutions that achieve an optimal balance between privacy, scalability, and performance in real-world applications.

Selected Publications


Journal Papers

  • Empowering AI with Homomorphic Encryption for Secure Deep Reinforcement Learning

    Chi-Hieu Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Kristin Lauter, Miran Kim
    Nature Machine Intelligence, accepted 2025

  • Chi-Hieu Nguyen, Yuris Mulya Saputra, Dinh Thai Hoang, Diep N. Nguyen et al.
    IEEE/ACM Transactions on Networking, 2024

  • Secure Human Pose Estimation from Wearable Sensors Using Homomorphic Encryption

    Chi-Hieu Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Mohammad Abu Alsheikh et al.
    preparing for submission

  • Secure Unsupervised Network Intrusion Detection via Deep Clustering and Homomorphic Encryption

    Chi-Hieu Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Mohammad Abu Alsheikh et al.
    preparing for submission

  • Bui Duc Manh, Chi-Hieu Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Ming Zeng, Quoc-Viet Pham
    IEEE Internet of Things Journal, 2025

  • Md Arif Hassan, Mohammad Behdad Jamshidi, Bui Duc Manh, Nam H. Chu, Chi-Hieu Nguyen et al.
    Computer Networks, 2025

  • Khanh-Van Nguyen, Chi-Hieu Nguyen, Tien Van Do, Csaba Rotter
    IEEE Transactions on Industrial Informatics

Conference Papers

  • Demo: PP-AICloud for Edge-Assisted Privacy-Preserving AI Inference with Homomorphic Encryption in Cloud-Based Mobile Services

    Chi-Hieu Nguyen, Bui Duc Manh, Dinh Thai Hoang, Diep N. Nguyen, Lin Wang
    ACM MobiCom Demos, 2025

  • Chi-Hieu Nguyen, Bui Duc Manh, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz
    IEEE Vehicular Technology Conference (VTC2024-Fall)

  • Bui Duc Manh, Chi-Hieu Nguyen, Dinh Thai Hoang, Diep N. Nguyen
    IEEE Vehicular Technology Conference (VTC2024-Fall)

Achievements


I have actively participated in and earned top rankings in several online competitions hosted on the Fherma.io platform. This is a collaborative project by Fair Math Inc, OpenFHE, and IBM Research, dedicated to developing cutting-edge components for confidential computing, privacy-preserving machine learning, and blockchain applications.

Professional Services


TPC Member

  • IEEE 100th Vehicular Technology Conference (VTC2024-Fall), 7-10 October 2024, Washington DC, USA
  • IEEE Wireless Communications and Networking Conference, 21–24 April 2024, Dubai, United Arab Emirates

Reviewer

  • IEEE Transactions on Information Forensics & Security (TIFS)
  • IEEE Transactions of Mobile Computing (TMC)
  • IEEE Transactions on Cognitive Communications and Networking (TCCN)
  • IEEE Transactions on Network Science and Engineering (TNSE)
  • IEEE Internet of Things Journal
  • Proceedings of the IEEE ​