Pengzhao Wu

Research Areas: Reinforcement Learning, Particle Assembly, Autonomous Vehicles

• Developed Reinforcement Learning (RL)-based control strategies for particle assembly, optimizing electrohydrodynamic (EHD) attraction and dipolar repulsion to achieve desired structures.
• Designed an RL framework to control self-organization processes, ensuring stable jammed states with minimal defects.
• Implemented formation control algorithms for autonomous vehicles, integrating vision-based navigation and multi-agent coordination for robust real-world deployment.
• Simulated and tested reinforcement learning models using Python (PyTorch, TensorFlow), MATLAB, and ROS for autonomous system control.

• Company Overview: Medical Ultrasound Imaging System.
• Medical ultrasonic front-end hardware system design, including key chip selection, such as FPGA, clock PLL, crystal oscillator, transceivers, ultrasound chip, the design of the digital clock system, and the development of the board-level power system, etc.
• Build and manage the analog hardware team, and also provide basic training for new employees in hardware development.
• Pre-research of new technologies, such as linear wave emission technology (not widely used currently), full system clock alignment, and ultra-high-speed interface communication (up to 10 Gbps).
• The high-end color ultrasound equipment named Lotus, which is mainly applied to obstetrics and gynecology, and the hardware design of which I am responsible for, has been displayed at CMFE in the second half of 2022 and won the 2023 German Red Dot Design Award.
• Made great contributions toward solving many technical difficulties left in products, such as image noise interference, power supply noise under-suppression, clock phase misalignment, etc.

• Company Overview: The Digital Communication Module.
• Single-board hardware development for digital communication modules, including demand analysis, device selection, hardware system design, schematic design, PCB-assisted design, and single-board regression testing.
• Coordinate hardware and software development resources, conduct joint debugging and testing, and ensure that the product's performance and reliability meet the requirements.
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