Research


Interests

My research interests lie at the intersection of information theory and machine learning, with an emphasis on rate-distortion-perception-classification representation for lossy compression. I am also deeply engaged in wireless communications, physical layer security, and advanced MIMO systems, combining theoretical insights with practical applications.

Research Areas:


Research Experiences

Oregon State University, Communications and Signal Processing Group

Position: Research Assistant
Duration: Dec. 2022 – Present
Location: Corvallis, OR, US
Advisors: Prof. Thinh Nguyen and Prof. Bella Bose
Topics: Representation learning, neural data compression, statistical signal processing & Bayesian inference, non-convex optimization, wireless communications, physical layer security

Project: Universal Rate-Distortion-Classification Representations for Lossy Compression

Sponsor: National Science Foundation (NSF) under Grant No. CCF-2417898

Project: Design and Security Analysis of Symbol Error Probability-Based Beamforming in MIMO Gaussian Wiretap Channels

Applied Artificial Intelligence Initiative, Deakin University

Position: Machine Learning Research Intern
Duration: July. 2025
Location: Burwood, Australia
Advisors: Prof. Mohamed Abdelrazek

Project: AI Agentic Negotiation

Posts and Telecommunications Institute of Technology, Optical Communications Research Group

Position: Research Assistant
Duration: Mar. 2019 – Mar. 2023
Location: Hanoi, Vietnam
Advisors: Prof. Vuong Mai and Prof. Ngoc Dang
Topics: Free-space quantum key distribution (QKD) networks, optical communication systems

Project: Design and Security Analysis of Satellite-Based Free-Space Quantum Key Distribution Systems for Wireless and Vehicular Networks

Sponsor: National Foundation for Science and Technology Development (NAFOSTED, Vietnam), Grant No. 102.02-2019.08


Publications

  1. Nam Nguyen, Thuan Nguyen, Thinh Nguyen, Bella Bose, “A Theory of Universal Rate-Distortion-Classification Representations for Lossy Compression,” 2025. [Paper]
  2. Nam Nguyen, Thuan Nguyen, Thinh Nguyen, Bella Bose, “Universal Rate-Distortion-Classification Representations for Lossy Compression,” IEEE Information Theory Workshop, 2025 (Accepted). [Paper] [Poster]
  3. Nam Nguyen, An Vuong, Thuan Nguyen, Thinh Nguyen, “On Symbol Error Probability-based Beamforming in MIMO Gaussian Wiretap Channels,” submitted to IEEE Transactions on Vehicular Technology, 2024. [Paper] [Simulation]
  4. Nam Nguyen, An Vuong, Thuan Nguyen, and Thinh Nguyen, “On Minimizing Symbol Error Probability for Antipodal Beamforming in Gaussian MIMO Wiretap Channels,” 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), Washington, DC, USA, 2024, pp. 1-5. [Paper] [Simulation]
  5. Nam Nguyen, Thang V. Nguyen, Vuong V. Mai, and Ngoc T. Dang, “Performance of Satellite Quantum Key Distribution under Atmospheric Turbulence-Induced Phase Fluctuations,” 40th International Communications Satellite Systems Conference (ICSSC 2023), Bradford, UK, 2023, pp. 84-88. [Paper] [Simulation]
  6. Nam D. Nguyen, Hang T. T. Phan, Hien T. T. Pham, Vuong V. Mai, and Ngoc T. Dang, “Reliability Improvement of Satellite-based Quantum Key Distribution Systems using Retransmission Scheme,” Photonic Network Communications, 42, 27–39, 2021. [Paper] [Simulation]
  7. Nam D. Nguyen, Hien T. T. Pham, Vuong V. Mai, and Ngoc T. Dang, “Comprehensive Performance Analysis of Satellite-to-Ground FSO/QKD Systems using Key Retransmission,” Optical Engineering, Vol. 59, No. 12, pp. 126102-1-25, Dec. 2020. [Paper] [Simulation]
  8. Nam D. Nguyen, Hien T. T. Pham, Vuong V. Mai, and Ngoc T. Dang, “Performance Enhancement of Satellite FSO/QKD Systems using HAP-based Relaying and ARQ,” 2020 International Conference on Advanced Technologies for Communications, Nha Trang, Vietnam, pp. 12-17, 2020. [Paper] [Simulation]

Technical Reports

  1. Nam Nguyen, “Universal Representations for Classification-enhanced Lossy Compression,” Department of Electrical and Computer Engineering and Computer Science, Oregon State University, AI535 Deep Learning, Final Project, Mar. 2025. [Report] [Slide] [Simulation]
  2. Nam Nguyen, “Reading Report of Jeffreys Prior Regularization for Logistic Regression,” Department of Electrical and Computer Engineering and Computer Science, Oregon State University, ECE565 Estimation, Filtering, and Detection, Final Project, De. 2023. [Report] [Slide] [Simulation]
  3. Nam Nguyen, “Reading Report of A Khatri-Rao Subspace Approach to Blind Identification of Mixtures of Quasi-Stationary Sources,” Department of Electrical and Computer Engineering and Computer Science, Oregon State University, AI539 Matrix Analysis for Signal Processing and Machine Learning, Final Project, Jun. 2022. [Report] [Simulation]

Theses