Al-Khawarizmi Building (Bldg. 1) | Level 4. Station 4307-WS10
MSc. in Electrical Engineering, King Abdullah University of Science and Technology (KAUST) (2017)
B.S in Observation, Navigation and Control from Northwestern Polytechnical University, China (2016)
Peihao Li is a Ph.D student in Electrical Engineering department within CEMSE division. He got a B.S in Observation, Navigation and Control from Northwestern Polytechnical University, China. He received master degree in the Ms/PhD program in Electrical Engineering at King Abdullah University of Science and Technology (KAUST) in winter 2017. His research interests include UAV navigating, image processing and robust control. Currently, he is working on developing algorithms and applications in signal processing and is especially interested in semi-classical signal analysis (SCSA).
- In fall 2017 I was working on validating adaptive Lyapunov controller at the solar collector setup, and gained experimental results that comes from the real data, as an extension to related literature work.
- Starting in summer 2018 I started working on developing algorithms based on semi-classical signal analysis (SCSA) and we have developed a denoising algorithm with a curvature constraint that performs well compared to other existing denoising method.
- Denoising pulse shaped signals based on the Schrodinger operator and a curvature constraint.