About Me
Qianyi Shen (Ethan, 沈谦逸).
- Ph.D. Student of College of Electronic and Information Engineering (CEIE), Tongji University
- Member of the Institute of Intelligent Vehicles (IIV-TJ)
- Supervisor: Prof. Jie Chen
- Academician of Chinese Academy of Engineering, IEEE Fellow
- Former Vice Minister of the Ministry of Education, Current Secretary of HIT
- Also closely collaborates with Prof. Hong Chen (IEEE Fellow) and Assoc. Prof. Lin Zhang
- Email: qyshen@tongji.edu.cn, qy.shen@outlook.com
- Tel & WeChat: (+86) 166 0189 0644
- ORCID: 0009-0008-0746-3135
Research Interests
-
Autonomous Driving in High-Performance & Intelligent Vehicles
-
Generative AI-Based Multi-vehicle High-performance Robust Distributed Control
- GenerativeAI for High Performance Safety Control
- Multimodal Sensing, Planning and Control
- Autonomous Drifting Control
- From Simulation to Real-car Validation
Biography
Education
- 2021.09-2025.06, B.Eng., School of IoT Engineering, Jiangnan University, Wuxi, China.
- Supervisor: Prof. Ziyun Wang
- 2022.06-2025.06, Member of Honors School (Selected from the top 5% of students at Jiangnan University), supervised by Prof. Yan Wang
- 2025.09-Present, Ph.D. student, College of Electronics and Information Engineering, Tongji University, Shanghai, China.
- Supervisor: Prof. Jie Chen (CAE Academician, IEEE Fellow)
- Also closely cooperates with Prof. Hong Chen (IEEE Fellow) and Assoc. Prof. Lin Zhang
Personal Info
Qianyi Shen, also known as Ethan Shen, was born in Yancheng City, Jiangsu Province, China. He is currently pursuing his Ph.D. at Tongji University in Shanghai under the supervision of Prof. Jie Chen (Academician of Chinese Academy of Engineering, IEEE Fellow). He is a member of the Institute of Intelligent Vehicles at Tongji University (IIV-TJ). In 2025, he obtained his B.Eng. from the School of IoT Engineering at Jiangnan University in Wuxi, China. As a car enthusiast and a devoted Formula One fan, he finds his personal passions closely aligned with his academic pursuits. His research focuses on generative AI-based multi-vehicle, high-performance, robust distributed control.