CV
Curriculum vitae of Peiyuan Zhai, PhD researcher at Delft University of Technology, focusing on autonomous perception, sensor fusion, and distributed signal processing.
Contact Information
| Name | Peiyuan Zhai |
| Professional Title | PhD Researcher, Signal Processing |
| p.zhai@tudelft.nl | |
| Phone | (+31) 06-83104008 |
| Location | Signal Processing Systems Group, Delft, The Netherlands |
Professional Summary
PhD researcher in Electrical Engineering at Delft University of Technology, specializing in autonomous perception, sensor fusion, and distributed signal processing for autonomous vehicles.
Experience
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2023 - 2027 Delft, The Netherlands
PhD Researcher - Autonomous Perception
Signal Processing Systems Group, Delft University of Technology
Research on occupancy grid mapping for autonomous driving using radar-LiDAR fusion and sparse Bayesian learning techniques.
- Published in IEEE SENSORS 2024 and IEEE Sensors Journal (2025-2026)
- Developed sparsity-aware occupancy grid mapping algorithms
- Sensor fusion techniques for autonomous vehicle perception
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2021 - 2022 Delft, The Netherlands
M.Sc. Researcher - Distributed Gaussian Process Learning
Circuits and Systems Group, Delft University of Technology
Developed fully-distributed asynchronous algorithms for Gaussian process hyperparameter optimization in multi-agent systems.
- Proposed proximal alternating direction method of multipliers (PADMM) algorithms
- Published in ICASSP 2023
- Extended state-of-the-art from centralized to fully-distributed systems
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2019 - 2020 Xi'an, China
B.Eng. Researcher - Video Background Modeling
Multi-media Processing Group, Xi'an Jiaotong University
Developed background modeling algorithms for target tracking using Gaussian Mixture Models.
- Proposed selective update strategy for robust background modeling
- Implemented algorithm on Digital Signal Processor platforms
Education
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2023 - 2027 Delft, The Netherlands
PhD
Delft University of Technology
Electrical Engineering
- Autonomous Perception, Sensor Fusion, Signal Processing
- Advisor: Dr. Geethu Joseph, Signal Processing Systems Group
- Research on occupancy grid mapping using radar-LiDAR fusion
- Sparse Bayesian learning and autonomous vehicle perception
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2020 - 2022 Delft, The Netherlands
M.Sc.
Delft University of Technology
Electrical Engineering
- Advanced Signal Processing, Distributed Learning
- Thesis: Distributed Gaussian Process Hyperparameter Optimization for Multi-Agent Systems
- Grade: 8.5/10
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2016 - 2020 Xi'an, China
B.Eng.
Xi'an Jiaotong University
Information Engineering
- Thesis: Video Background Modeling using Gaussian Mixture Model
Skills
Programming Languages & Tools (Proficient): Python, C/C++, MATLAB, Linux, Git, LaTeX, FPGA
Research Focus (Expert): Autonomous Perception, Sensor Fusion, Sparse Bayesian Learning, Distributed Signal Processing, Gaussian Process, Multi-Agent Systems
Languages
English : Fluent
Chinese : Native
Dutch : Beginner
Interests
Research & Learning: Autonomous Vehicles, Sensor Fusion, Signal Processing, Machine Learning, Distributed Systems
Hobbies: Cycling, Cooking, Photography, Badminton