student College of information Science and Technology, Donghua University China
Li Zihan, a 24-year-old aspiring engineer from Jingdezhen, Jiangxi, is a Master’s student in Information and Communication Engineering at Donghua University, Shanghai. With a strong academic record and hands-on experience in communication systems, autonomous driving, and resource allocation strategies, Li showcases a passion for innovation and excellence in technology.
Profile
Orcid
Education 🎓
- Master’s Program (2022 – Present): Donghua University, Shanghai (211/Double First-Class) in Information and Communication Engineering. Excelling in academics, Li ranks in the top 8% of the class.
- Undergraduate Degree (2018 – 2022): Donghua University, Shanghai, in Communication Engineering. Ranked in the top 6%, with exceptional grades in core courses like Computer Communication Network (99) and Wireless Mobile Communications (94).
Experience 🛠️
Internship at Shanghai NIO Co., Ltd. (2023.02 – 2023.06):
Worked as a Test Intern in the Intelligent Cockpit Function Test Group, specializing in automated assembly line platforms and vehicle-machine testing. Key contributions included writing Python scripts, conducting functional tests, and maintaining Git repositories to support bug identification and resolution.
Research Interest 🔬
Li’s research focuses on resource allocation strategies for the Internet of Vehicles, integrating sensing and communication to optimize V2X systems. Li employs MATLAB simulations to evaluate parameters like bandwidth and modulation, leveraging advanced techniques such as Q-learning for adaptive conflict resolution.
Awards 🏅
- “TI” Cup Shanghai College Student Electronic Design Competition (Provincial Second Prize) – 2020.09
- National Inspirational Scholarship
- Donghua University Scholarship
- Xingze Social Scholarship
- Postgraduate Academic Scholarship
Publications Top Notes: 📚
Research on Resource Allocation Strategy of Side-chain for IoV Integrated with Sensing and Communication
Published in November 2023
Published by [Journal of Vehicle Networking and Communications]
Cited by: 15 articles
Performance Evaluation of SB-SPS Algorithm in Real-world Connected Vehicle Systems
Published in January 2024
Published by [IEEE Transactions on Vehicular Technology]
Cited by: 10 articles