CV
Download my latest CV in PDF format.
Basics
| Name | Shun Zhang |
| Label | Undergraduate Researcher |
| zshun304@gmail.com | |
| Phone | +86 13085519780 |
| Url | https://nchmz.github.io |
| Summary | I am currently a junior undergraduate student majoring in Electronics Information Engineering at Anhui University (Expected graduation: June 2027), where I rank in the Top 3% of my cohort with a GPA of 4.31/5.0. My research interests primarily lie at the intersection of Robotics, Embodied AI, Reinforcement Learning, and Computer Vision. I am actively seeking Research Internships / Visiting Student opportunities, as well as Fall 2027 Ph.D./MPhil programs. |
Education
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2023.09 - 2027.06 Hefei, Anhui, China
Bachelor of Engineering
Anhui University
Electronics Information Engineering
- Linear Algebra (100/100)
- Advanced Programming (99/100)
- Signals and Linear Systems (99/100)
- Electronic Circuits (99/100)
Publications
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Under Review Intermediate-Time Output Constrained Adaptive Neural Control for an Uncertain Mecanum-Wheeled Omnidirectional Vehicle System
IEEE Transactions on Control Systems Technology
Co-authors: Yuncheng Ouyang, Shun Zhang, Youmeng Wang, Yanxu Su, Changyin Sun
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Under Review Reinforcement Learning-Based Adaptive Fuzzy Control for Mecanum-Wheeled Vehicle With Input-and-Output Constraints
Acta Automatica Sinica
Co-authors: Yuncheng Ouyang, Youmeng Wang, Shun Zhang, Xuerao Wang, Changyin Sun
Projects
- 2025.01 - 2026.01
Embodied AI-Based Full-Domain Delivery System
Innovation Training Program (Under Review). Designed a modular system architecture for quadruped robot logistics (Robot Dog). Developing diffusion-based generative models for mapless indoor navigation. Integrating Reinforcement Learning (RL) to solve path planning challenges in unstructured complex environments.
- 2024.01 - 2025.01
Traffic Sign Detection and Recognition on Huawei Ascend
National Innovation Training Program (Graded Excellent). Optimized and deployed YOLOv5 models on Huawei Ascend 310B edge computing platforms (OrangePi AIpro) via the CANN architecture. Designed a highly efficient inference pipeline and conducted rigorous testing, ensuring robust real-time traffic sign recognition on embedded devices.
- 2024.01 - 2025.01
Collaborative Campus Inspection Platform Based on Deep Learning
National Innovation Training Program. Led the edge computing deployment of lightweight YOLO models for real-time object detection. Engineered autonomous navigation and obstacle avoidance algorithms for Unmanned Ground Vehicles (UGV).
Awards
- 2025.01.01
- 2025.01.01
National Second Prize
CUMCM
- 2025.01.01
- 2024.01.01
Guoyuan Scholarship
Anhui University
Work
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2024.01 - Present Lab Manager
Electronic Innovation Laboratory, Anhui University
Managed daily lab operations, equipment maintenance, and component procurement. Facilitated technical seminars and coordinated training sessions for 50+ members participating in competitions.
Skills
| Programming Languages | |
| Python | |
| C/C++ | |
| MATLAB | |
| Assembly | |
| Shell |
| Frameworks & Tools | |
| PyTorch | |
| YOLO | |
| OpenCV | |
| ROS/ROS2 | |
| Huawei CANN | |
| STM32 | |
| Linux | |
| Git | |
| LaTeX |
Languages
| Chinese | |
| Native speaker |
| English | |
| Fluent (CET-6) |