Portrait of Long V. Nguyen

Long V. Nguyen

Portrait of Long V. Nguyen
PhD Student in Wireless Communication @ ECE, Memorial University (2025 - Present)
  • Semantic Communications
  • Generative AI
  • Deep Reinforcement Learning
  • LAEN
  • UAV Networks / 6G

Hi! I'm Long V. Nguyen (Nguyễn Viết Long in Vietnamese), a PhD student in Computer Engineering at the Department of Electrical and Computer Engineering, Memorial University of Newfoundland, Canada. During my research, I’m very fortunate to be advised by Prof. Trung Q. Duong, a Canada Excellence Research Chair (CERC). Before that, I graduated from the Elitech Program at Hanoi University of Science and Technology, Vietnam Flag of Vietnam.

My main research interests are Generative AI, Deep Reinforcement Learning, and Quantum Computing in Intelligent Wireless Networks, especially Semantic Communications for Vehicular Networks, contributing to the developments of Intelligent Transportation Systems (ITS). With the efforts in these fields, our key objective is to seamlessly integrate the digital, physical and biological worlds to develop a "wireless without limit” connectivity in the realm of next-generation communication technology.

I'm curious about everything novel and constantly seeking new learning opportunities, so don't hesitate to reach out if you have any questions or just want to connect!

When I'm not working, I enjoy reading 📖, swimming 🏊‍♂️, and playing my favorite sports like soccer ⚽️ and badminton 🏸.


  News

2025
  • My PhD program has started...🚀
  • I have defended successfully my Master’s thesis at Memorial University after 1.5 years!
  • My second paper “Digital Semantic Communication with Neural Image Compression” has been accepted at International Conference on Computer Communications (INFOCOM), London, UK.
2024
2023
  • I was selected as one of the 50 Asian students awarded the POSCO Asia Fellowship by POSCO TJ Park Foundation.
  • I successfully defended my undergraduate thesis with an absolute score of 10/10.
  • I have been awarded a fully-funded Master's scholarship at Memorial University of Newfoundland, Canada.

  Selected Publications View all

Figure from “Digital Semantic Communication with Neural Image Compression”

Digital Semantic Communication with Neural Image Compression

L. V. Nguyen, T. T. Nguyen, O. A. Dobre, T. Q. Duong

IEEE International Conference on Computer Communications (INFOCOM)2025 Conference

In this work, we introduce a neural image compression-enabled semantic communication system to enhance the efficiency of digital image transmission, named NCSC. By employing an accurate and adaptable entropy model, NCSC obtains the efficiently compressed bitstreams, which are compatible with digital communication systems. Incorporating with the well-established digital components, our system trained on the MS-SSIM metric can achieve a significant bandwidth compression ratio of 0.002 at low SNR, reducing remarkably transmission overhead.

Figure from “Leveraging Stable Diffusion with Context-Aware Prompts for Semantic Communication”

Leveraging Stable Diffusion with Context-Aware Prompts for Semantic Communication

L. V. Nguyen, T. T. Nguyen, O. A. Dobre, T. Q. Duong

IEEE 21st International Conference on Mobile Ad-Hoc and Smart Systems (MASS)2024 Conference

In this study, we present a novel Stable Diffusion-based semantic communication (SDSC) framework that demonstrates high performance, characterized by an elevated bandwidth compression ratio (BCR) and robust noise tolerance achieved by diffusion mechanism integrating supplementary prompts. This scheme significantly enhances the system's ability to preserve data integrity and meaning in noisy environments. By introducing additional context-aware prompts during transmission, we improve the accuracy of received information and mitigate the adverse effects of interference and noise.

  Professional Activities

  Videos