Khang Nguyen

Logo Senior CS Undergrad @ MSU

Hi! I am Khang Nguyen, a senior undergraduate in Computer Science at Michigan State University (MSU). I have had the wonderful opportunity to be advised by Dr. Zhichao Cao in the Edge Intelligence and Networking (EIN) group, and I also collaborate with Dr. Mi Zhang at OSU AIoT.

I have also worked with Dr. Qiben Yan in the SEcure and Intelligent Things (SEIT) Lab. In Summer 2025, I interned with Dr. Chunyi Peng at the Purdue Mobile System, Security and Networking (MSSN) Group.

My research interests span Physical AI, AIoT (AI + IoT), and AI security in autonomous driving. Currently, I am working on diffusion models for radar imaging and exploring the robustness of AI and vision-language models (VLMs) in autonomous driving scenarios. I am always open to collaboration opportunities, feel free to reach out!


Education
  • Michigan State University
    Michigan State University
    B.Sc. in Computer Science
    Minor in Data Science and Economics
    2022 - 2026
Industry Experience
  • New Turing Institute
    LLM Researcher
    Supervisor: Dr. Thang Luong
    Aug. 2025 - Dec. 2025
  • Data Garage
    Software Engineer Intern
    June 2024 – Aug. 2024
  • Open Avenues
    Software Engineer Intern
    Feb. 2024 – April 2024
  • Fujitsu
    Software Engineer Intern
    May 2023 – July 2023
Honors & Awards
  • GStar Bootcamp Full Scholarship, NTI Global Talent Program
    2025
  • Summer Undergraduate Research Fellowships, Purdue University
    2025
  • Engineering Summer Undergraduate Research Fellowships, Michigan State University
    2024
  • Honors College Winters Research Scholars, Michigan State University
    2024
  • Honors College Wielenga Research Scholars, Michigan State University
    2023
  • Dean’s List, Michigan State University
    2022-25
News
2026
This website is live!
Jan
2025
Join NTI as a LLM Researcher
Aug
LoRaSeek is accepted by MobiCom 2025
Jun
Join Purdue MSSN as a Research Intern
May
Selected Publications (view all )
LoRaSeek: Boosting Denoising Ability in Neural-enhanced LoRa Decoder via Hierarchical Feature Extraction
LoRaSeek: Boosting Denoising Ability in Neural-enhanced LoRa Decoder via Hierarchical Feature Extraction

Khang Nguyen, Yidong Ren, Jialuo Du, Jingkai Lin, Maolin Gan, Shigang Chen, Mi Zhang, Chunyi Peng, Zhichao Cao

International Conference on Mobile Computing and Networking (MobiCom), Acceptance Rate: 10.34% A* Conference

LoRaSeek: Boosting Denoising Ability in Neural-enhanced LoRa Decoder via Hierarchical Feature Extraction
LoRaSeek: Boosting Denoising Ability in Neural-enhanced LoRa Decoder via Hierarchical Feature Extraction

Khang Nguyen, Yidong Ren, Jialuo Du, Jingkai Lin, Maolin Gan, Shigang Chen, Mi Zhang, Chunyi Peng, Zhichao Cao

International Conference on Mobile Computing and Networking (MobiCom), Acceptance Rate: 10.34% A* Conference

All publications