I’m Jingran Zhang, an undergraduate student at Jiangnan University, affiliated with the Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education. Since July 2024, I have been a visiting student in the Motor and Motion-Control Laboratory at ShanghaiTech University, under the supervision of Prof. Jiahao Chen.
I am interested in neural networks, deep learning, invariant extended Kalman filtering, robotic reinforcement learning, and nonlinear control. I have published two articles, with two more currently under submission. For more details, please refer to my CV and publications.
I am currently a prospective Ph.D. student at the College of Control Science and Engineering, Zhejiang University, under the supervision of Prof. Xingwen Zheng Our research interests mainly focus on bionic robotics and underwater robotics.
🔥 News
- 2025.10: 🎉🗣️ Attended the China Automation Congress (CAC) and delivered an oral presentation.
- 2025.10: 🎉📜 Our paper has been accepted by ROBIO, and we will attend the conference in Chengdu this December.
- 2025.09: 🎉🖥️ I have been admitted to the College of Control Science and Engineering at Zhejiang University as a Ph.D. student.
- 2025.07: 🎉⚽ The Dionysus team placed third in the RoboCup World Championship.
- 2025.06: 🎉🎖️ Awarded the Infineon Technologies Scholarship by Jiangnan University for outstanding academic performance.
- 2025.05: 🎉⚽ The Dionysus team won First Prize and placed third in the RoboCup China Open 2025.
- 2025.04: 🎉🎖️ Recognized as a “Sanhao Student” by the Wuxi Municipal Education Bureau.
- 2024.11: 🎉⚽ The Dionysus team participated in the RoboCup Brazil Open and achieved 6th place worldwide.
- 2024.07: 🎉🖥️ Became a visiting student at the MMLab of ShanghaiTech University.
- 2024.05: 🎉⚽ The Dionysus team won the First Prize and placed third in the RoboCup China Open.
📝 Publications
Physics-informed neural networksfor multi-stage Koopman modeling of microbial fermentation processes
Quan Li, Jingran Zhang, Haiying Wan, Zhonggai Zhao, Fei Liu*
My Responsibilities:
- Implementation of Physics-informed Koopman Neural Networks;
- Dataset processing and neural network training;
- Contribution to the writing of the paper.
Curriculum Learning-based Physics-informed Neural Network Modeling for Microbial Fermentation Process
Jingran Zhang, Quan Li, Haiying Wan*
My Responsibilities:
- PONN and curriculum Learning algorithm Design;
- Code implementation;
- Paper writing and data analysis;
- Utilized motion capture equipment to obtain reference trajectories.
Pedestrian Dead Reckoning using Invariant Extended Kalman Filter
Jingran Zhang, Zhengzhang Yan, Yiming Chen, Zeqiang He, Jiahao Chen*
My Responsibilities:
- InEKF theoretical study and code implementation;
- Designed and conducted experiments for algorithm validation;
- Paper writing and data analysis;
- Utilized motion capture equipment to obtain reference trajectories.
Deep Koopman model predictive control of microbial fermentation processes：a physics-informed neural network framework
Quan Li, Haiying Wan, Jingran Zhang, Zhonggai Zhao, Fei Liu*
My Responsibilities:
- Implementation of Koopman Neural Networks;
- Dataset processing and neural network training;
- Design of poster visuals.
- Q Li, J Zhang, H Wan, et al. “Robust EMPC for the microbial fermentation process with structural model-plant mismatch: A deep Koopman model-error model method”, IEEE Transactions on Automation Science and Engineering, Peer review, Manuscript ID: T-ASE-2025-271.
✊ Competitions
Optimization of Team Strategies and Motion Training for RoboCup 3D Soccer Teams
Jingran Zhang, Chen Chen, Qi Wu, Haonan Zhang, Yihang Chen
Team Description Paper Report 1 Report 2 Report 3
My Responsibilities:
- Served as the captain of the school’s 3D soccer project;
- leading the team in developing team code and strategy code based on dynamic programming;
- Improved and adapted the robot’s kicking movements.
- 2025.07 Third Place of 2025 RoboCup
- 2025.05 Sixth Place of 2025 RoboCup China
- 2024.11 Sixth Place of 2024 RoboCup Brazil Open
- 2024.11 Fourth Place of 2024 RoboCup Yangzhou Invitational
- 2024.05 Third Place of 2024 RoboCup China
🥇 Honors and Awards
- 2025.06 Infineon Technologies Scholarship
- 2025.05 Outstanding Student of Wuxi
- 2024.12 Outstanding Student of Jiangnan University
- 2024.12 First-Class Scholarship of Jiangnan University
- 2023.12 National Scholarship for Undergraduate Students (2022-2023)
- 2017.12 Outstanding Communist Youth League Member of Zhejiang Province
📖 Educations
- 2024.07 - now, Visiting Student, ShanghaiTech University, Shanghai.
- 2022.09 - now, Undergraduate, Jiangnan University, Wuxi.
🤝 Service and Leadership
- 2025.02 - now, Competition Instructor, School of Internet of Things Engineering, Jiangnan University
- 2024.11 - 2024.11, Judge of the 3D Simulation Soccer Project, RoboCup Yangzhou Invitational Tournament
- 2023.11 - now, Academic Counselor, School of Internet of Things Engineering, Jiangnan University
- 2023.09 - now, Leader of the Robotics Club, School of Internet of Things Engineering, Jiangnan University
- 2022.09 - now, Class Monitor of Automation 2204, School of Internet of Things Engineering, Jiangnan University
- 2020.04 - 2020.08, Campus Student Intern, Harvard Summit for Young Leaders in China
- 2017.10 - 2018.10, President of the Student Union, Wenzhou Experimental Middle School