Minhao Cui


I am currently a second-year Ph.D. student at College of Information and Computer Sciences, University of Massachusetts Amherst under supervision of Prof. Jie Xiong.

My reserach topic is Visible Light Communication, especially for the side-channel of Visible Light Communication systems.

Email: minhaocui at cs.umass.edu



  • RadioInLight: Doubling the Data Rate of VLC Systems
    Minhao Cui, Qing Wang, Jie Xiong
    In ACM International Conference on Mobile Computing and Networking (Mobicom), 2021.

  • Breaking the limitations of visible light communication through its side channel
    Minhao Cui, Qing Wang, Jie Xiong
    In Proceedings of ACM Conference on Embedded Networked Sensor Systems (SenSys), 2020. (Full paper, Acceptance rate: 43/213=20.2%)

  • Sniffing visible light communication through walls
    Minhao Cui, Yuda Feng, Qing Wang, Jie Xiong
    In ACM International Conference on Mobile Computing and Networking (Mobicom), 2020. (Full paper, Acceptance rate: 62/384=16.1%) [Honourable Mention Award (3/384)]



We utilize the leaked side channel signals of VLC to transmit additional data bits for communication. Without too much hardware modification and energy cost, we can double the data rate of the VLC systems with our novel design.

Mobicom 2021 paper


We utilize the side channel of VLC - a Radio Frequency (RF) channel created unintentionally during the transmission process of VLC - to break the VLC limitations:i) surrounding objects can easily block VLC links, and ii) intense ambient light can saturate the photodiodes of VLC receivers.

SenSys 2020 paper

In this paper, for the first time, we show that VLC is not as secure as people thought: VLC can be sniffed through walls! The key principle behind this is that in VLC transmissions, a VLC transmitter not only emits visible light signals but also leaks out `side channel RF signals'.

Mobicom 2020 paper, 5 min elevetor pitch video, Full presentation video


  • Honourable Mention Award in Mobicom'20
  • National Scholarship in China, 2017 and 2018

TA Experience

  • Spring 2020: COMPSCI 240 - Reasoning Under Uncertainty.