KAUST is a place connecting people with different nationalities, cultures, backgrounds; a beacon leading the way to research and innovation; a community with a group of people who are willing to learn, to share, and to contribute.

Honors and Awards

He received three National Scholarships from 2010 to 2013, Beijing Merit Student Award in 2012, the fourth place in Microsoft Indoor Localization Competition in 2017. 


Building 1, Level  3, 3139-WS21


Hui Chen received the B.E. degree in Electrical Engineering from Beijing Forestry University, Beijing, China in 2013, and the M.E. degree in Computer Engineering from University of Chinese Academy of Sciences in 2016. He was a intern in KAUST VSRP (visiting student research program) in 2015. Currently he is a Ph.D. student working on localization & tracking and gesture recognition.

Research Interests 

Indoor localization, gesture recognition.

Selected Publications

H. Chen, T. Ballal, M. Saad, and T. Y. Al-Naffouri, “Angle-of-arrival-based gesture recognition using ultrasonic multi-frequency signals,” 2017 25th European Signal Processing Conference (EUSIPCO), Aug. 2017.
[2] Chen, Hui, Tarig Ballal, and Tareq Y. Al-Naffouri. "Fast Phase-Difference-Based DoA Estimation Using Random Ferns." In 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 256-260. IEEE, 2018. [Poster Presentation]
[3] Chen, Hui, Tarig Ballal, and Tareq Y. Al-Naffouri. "A Decomposition Approach for Complex Gesture Recognition using DTW and Prefix Tree." In 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). IEEE, 2019. [Accepted, Poster Presentation]
[4] Chen, Hui, Tarig Ballal, Xing Liu, and Tareq Y. Al-Naffouri. "PDP: A Phase-Difference Projection Based DOA Estimation Algorithm.” In Signal Processing Conference (EUSIPCO), 2019 27th European, IEEE, 2019. [Accepted, Oral Presentation]