Curriculum vitae
Profile
Peiyuan Zhai — PhD Researcher, Signal Processing
Delft, The Netherlands · p.zhai@tudelft.nl
PhD researcher in Electrical Engineering at Delft University of Technology, specializing in autonomous perception, sensor fusion, and distributed signal processing for autonomous vehicles.
Education
- PhD, Electrical Engineering, Delft University of Technology, Delft, The Netherlands — 2023-02 to 2027-02 (expected). Advisor: Dr. Geethu Joseph, Signal Processing Systems Group. Research on occupancy grid mapping using radar-LiDAR fusion and sparse Bayesian learning.
- MSc, Electrical Engineering, Delft University of Technology, Delft, The Netherlands — 2020-09 to 2022-08. Thesis: Distributed Gaussian Process Hyperparameter Optimization for Multi-Agent Systems. Grade: 8.5/10.
- BEng, Information Engineering, Xi’an Jiaotong University, Xi’an, China — 2016-09 to 2020-07. Thesis: Video Background Modeling using Gaussian Mixture Model. Grade: 86.44/100.
Research experience
- PhD Researcher — Autonomous Perception, Signal Processing Systems Group, Delft University of Technology — 2023-02 to 2027-02 (expected). Occupancy grid mapping for autonomous driving using radar-LiDAR fusion and sparse Bayesian learning.
- MSc Researcher — Distributed Gaussian Process Learning, Circuits and Systems Group, Delft University of Technology — 2021-12 to 2022-08. Fully-distributed asynchronous algorithms for Gaussian process hyperparameter optimization in multi-agent systems under Dr. Raj Thilak Rajan; published in ICASSP 2023.
- BEng Researcher — Video Background Modeling, Multi-media Processing Group, Xi’an Jiaotong University — 2019-11 to 2020-06. Background modeling algorithms for target tracking using Gaussian Mixture Models, including implementation on Digital Signal Processor platforms.
Skills
Python, C/C++, MATLAB, Linux, Git, LaTeX, FPGA; autonomous perception, sensor fusion, sparse Bayesian learning, distributed signal processing, Gaussian processes, and multi-agent systems.
Languages and interests
English (fluent), Chinese (native), Dutch (beginner). Research interests include autonomous vehicles, sensor fusion, signal processing, machine learning, and distributed systems. Hobbies include cycling, cooking, photography, and badminton.