🎓Early Academic Pursuits 

Jin Yanlin was born in August 1997 in Chuxiong, Yunnan. From a young age, Jin exhibited a keen interest in mechanical systems and engineering, which later guided him to pursue a degree in Energy and Power Engineering at Chang’an University. His undergraduate years were marked by exceptional academic performance, consistently ranking first in his major for three consecutive years. His academic excellence earned him a National Scholarship for three consecutive years and the prestigious “Growing Star” award, which is the highest honor at Chang’an University.

During his undergraduate studies, Jin developed a strong foundation in vehicle dynamics and kinematics. He excelled in coursework and engaged in numerous extracurricular activities and competitions, showcasing his skills and knowledge in engineering and technology.

🚗Professional Endeavors 

In September 2020, Jin Yanlin embarked on his PhD journey at the School of Mechanical and Vehicle Engineering, Chongqing University. His admission to the State Key Laboratory of Mechanical Transmission was a testament to his outstanding academic record and potential in the field of mechanical engineering. At Chongqing University, he focused on Vehicle Engineering, particularly in decision-making, planning, and control.

Jin’s expertise extends to various algorithms essential for intelligent vehicle behavior decision-making. He is proficient in reinforcement learning, inverse reinforcement learning, and motion planning methods like discrete sampling and artificial potential fields. Additionally, Jin has mastered control algorithms such as Model Predictive Control (MPC), decoupling control, and Proportional-Integral-Derivative (PID) control. His programming skills include C++, Python, and Matlab/Simulink, making him a versatile and skilled engineer.

🛠️Contributions and Research Focus 

Jin Yanlin’s research is primarily centered on intelligent vehicle behavior decision-making and control. He has made significant contributions in designing anthropomorphic reward functions based on inverse reinforcement learning. His work involves developing advanced algorithms that enhance the decision-making capabilities of autonomous vehicles.

Moreover, Jin has a strong background in modeling vehicle dynamics and kinematics. His research includes developing and refining models that accurately simulate vehicle behavior under various conditions. These models are crucial for improving the safety and efficiency of autonomous vehicles.

🏆Accolades and Recognition 

Jin’s academic and professional journey is adorned with numerous accolades and awards. During his time at Chang’an University, he was recognized as one of the 100 outstanding students with aspirations to grow and become talents in China by the Ministry of Education. He also received the China Merchants Highway Special Scholarship and was honored as Chang’an University’s Outstanding Graduate.

At Chongqing University, Jin continues to excel, ranking in the top 10% of his major and receiving the Chongqing University Graduate Scholarship. His dedication and leadership qualities have also earned him recognition as an Outstanding Graduate Cadre and an Outstanding Communist Youth League Member twice.

🌍Impact and Influence 

Jin Yanlin’s contributions extend beyond academia. He has actively participated in national and provincial-level competitions, earning several prestigious awards. Notable among these are the third prize in the National University Biology Academic Competition, first and second prizes in the National Youth Vehicle Model Finals, and the second prize in the Shaanxi Province University Student “Challenge Cup” Extracurricular Academic Science and Technology Works Competition. Additionally, he secured the third prize in the RoboMaster2019 Central Division of the National University Student Robot Competition.

These achievements highlight Jin’s commitment to advancing engineering and technology. His participation and success in these competitions demonstrate his ability to apply theoretical knowledge to practical challenges, thereby contributing to the broader engineering community.

🚀Legacy and Future Contributions 

As Jin Yanlin continues his PhD studies, his research is poised to make significant contributions to the field of vehicle engineering. His work on intelligent vehicle behavior decision-making and control algorithms has the potential to enhance the development of autonomous vehicles, making them safer and more efficient.

Looking ahead, Jin aims to further his research and collaborate with industry leaders to bring innovative solutions to the market. His dedication to advancing technology and improving vehicle systems positions him as a future leader in the field of mechanical engineering.

Jin Yanlin’s journey from Chuxiong, Yunnan, to becoming a distinguished PhD candidate at Chongqing University is a testament to his dedication, hard work, and passion for engineering. His academic and professional achievements have already left a lasting impact, and his future contributions are eagerly anticipated by the engineering community.