Ph.D. Student in Information Theory and Machine Learning at Department of Electrical Engineering and Computer Science, Oregon State University
United States

About me

I received the B.Eng. degree (Hons.) in Electronics and Communications Engineering from Posts and Telecommunications Institute of Technology, Hanoi, Vietnam, in 2021; and the M.Sc. degree (Hons.) in wireless communications from Oregon State University, United States, in 2024. Currently, I am a Ph.D. student in Electrical and Computer Engineering at Department of Electrical Engineering and Computer Science, Oregon State University, advised by Prof. Thinh Nguyen. My research focuses on information theory, machine learning, rate-distortion-perception representation for lossy compression (rate-distortion-perception theory), neural data compression (image/video coding), and wireless communications.

For more details, please refer to Publications and CV. If you are recruiting and are interested in my profile, feel free to send me an email at nguynam4@oregonstate.edu. Resume [PDF]

Contact

• Nam Nguyen
  Department of Electrical Engineering and Computer Science
  Oregon State University
  3130 Kelley Engineering Center
  Corvallis, Oregon, United States
• Emails: nguynam4 [at] oregonstate [dot] edu (working)
  nguyendinhnam.working [at] gmail [dot] com (personal)

News

• 2025
  • 06/27: Our paper, “Universal Rate-Distortion-Classification Representations for Lossy Compression”, has been accepted to the 2025 IEEE Information Theory Workshop (ITW). This marks my first publication in the field of Information Theory.
  • 06/24: I was offered a machine learning research internship this summer at Deakin University’s Applied Artificial Intelligence Initiative.
  • 06/11: I will be participating in the 2025 North American School of Information Theory (NASIT), taking place at the University of Minnesota Twin Cities from June 16–20, 2025. [Poster]
  • 05/26: Reviewed one paper for the IEEE Wireless Communications Magazine.
  • 04/14: A new paper titled “A Theory of Universal Rate-Distortion-Classification Representations for Lossy Compression” has been released on arXiv.
  • 04/12: Submitted a paper to the 2025 IEEE Information Theory Workshop (ITW).
  • 04/12: Reviewed four papers for the “Learn to Compress & Compress to Learn” workshop at the 2025 IEEE International Symposium on Information Theory.
  • 04/11: Awarded an NSF student travel grant to attend the AERPAW Spring 2025 Workshop, held at North Carolina State University from May 27–30, 2025.
  • 04/04: A new paper titled “On Symbol Error Probability-based Beamforming in MIMO Gaussian Wiretap Channels” has been released on arXiv.
• 2024
  • 12/05: Successfully passed my qualifying exam and defended my Master’s thesis titled “On Minimizing Symbol Error Probability Using Beamforming in MIMO Gaussian Wiretap Channels”.
  • 10/07: Our conference paper “On Minimizing Symbol Error Probability for Antipodal Beamforming in MIMO Gaussian Wiretap Channels” was published in the 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall). Read it on IEEE Xplore.