Khac-Hoang Ngo

Assistant Professor at the Division of Communication Systems
Linköping University
Sweden


Bio

I received the B.Eng. degree (Hons.) in electronics and telecommunications from University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam, in 2014; and the M.Sc. degree (Hons.) and Ph.D. degree in wireless communications from CentraleSupélec, Paris-Saclay University, France, in 2016 and 2020, respectively. My Ph.D. thesis was also realized at the Mathematical and Algorithmic Sciences Laboratory, Paris Research Center, Huawei Technologies France. Since September 2024, I have been an assistant professor at the Division of Communication Systems, Linköping University. From September 2020 to August 2024, I was a postdoctoral researcher at Communication Systems Group, Chalmers University of Technology, Sweden. My research interests include wireless communications, information theory, and machine learning, with an emphasis on massive random access, AI privacy and security, information freshness, MIMO, and noncoherent communications.

Curriculum vitae [PDF]


Contact

  • Khac-Hoang Ngo
    Division of Communication Systems
    Department of Electrical Engineering (ISY)
    Linköping University
    Campus Valla, Building B, entrance 27, room 3A:455
    581 83 Linköping, Sweden
  • Emails: khac-hoang.ngo [at] liu [dot] se (working)
    khachoang1412 [at] gmail [dot] com (personal)

Vacancies

  • I am recruiting a PhD student to work on AI Security with a focus on memory poisoning in LLM Agents, fully funded by the Swedish Research Council (VR). Read full information and apply here: [https://liu.se/en/work-at-liu/vacancies/27883](https://liu.se/en/work-at-liu/vacancies/27883)
  • I support applications for MSCA Postdoctoral Fellowship. Deadline: September. I received this fellowship in 2021. Please contact me if you are interested.
  • If you are mathematically inclined and interested in pursuing master/PhD/postdoctoral research in the general areas of information theory, communication theory, and machine learning, feel free to reach out. We will explore opportunities to work together.

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