Teacher at Chongqing University of Science and Technology, China
Li Jie is an accomplished doctor, associate professor, and master’s supervisor at Shanghai Jiaotong University, where he also serves as a postdoctoral fellow. As the deputy director of the 2011 Collaborative Innovation Center for Smart Security in Chongqing, he leads initiatives in smart neurosurgery and participates actively in various professional committees related to artificial intelligence and smart transportation. An Associate Editor for IEEE Transactions on Emerging Topics in Computational Intelligence, he has contributed significantly to international conferences.
Profile🎓
Early Academic Pursuits🌱
Li Jie began his academic journey with a strong focus on artificial intelligence and smart technologies, laying a solid foundation for his future endeavors. His time at Tsinghua University and later at the University of Rhode Island enriched his understanding and broadened his research perspectives, preparing him for a distinguished career in academia and industry.
Professional Endeavors 💼
As a postdoctoral fellow at Shanghai Jiaotong University, Li Jie has undertaken significant leadership roles, including serving as the deputy director of the 2011 Collaborative Innovation Center for Smart Security in Chongqing. His involvement with the Smart Neurosurgery Group and various professional committees reflects his commitment to advancing healthcare through innovative technology and collaboration.
Contributions and Research Focus 🔍
Li Jie’s research primarily centers on smart security and neurosurgery, where he utilizes artificial intelligence to enhance medical practices. He has hosted 16 funded projects and has published over 40 academic papers in high-impact journals, showcasing his dedication to contributing valuable knowledge to the field.
Impact and Influence 🌍
With a reputation as a thought leader, Li Jie has made significant contributions that have influenced both academia and industry. His role as an Associate Editor for IEEE Transactions on Emerging Topics in Computational Intelligence and participation in various international conferences underscore his influence in shaping research agendas and fostering collaborations.
Academic Citations 📚
Li Jie’s work is widely recognized, as evidenced by his 40 published papers and the acclaim received for his book, “Artificial Intelligence.” His research has garnered citations that highlight its relevance and impact, establishing him as a respected figure in his field.
Technical Skills ⚙️
Possessing a robust set of technical skills, Li Jie excels in areas such as computational intelligence, data analysis, and machine learning. His expertise in securing over 40 invention patents demonstrates his innovative approach and practical application of technology in research.
Teaching Experience 👨🏫
As a master’s supervisor and associate professor, Li Jie has mentored numerous students, instilling in them a passion for research and innovation. His teaching methods emphasize practical applications of theory, preparing students for successful careers in technology and science.
Legacy and Future Contributions 🔮
Li Jie’s legacy is marked by his commitment to advancing smart technologies in healthcare. Looking ahead, he aims to expand his research collaborations internationally and engage in interdisciplinary projects, furthering the impact of his work on society and technology. His vision for the future underscores a dedication to innovation that will shape the next generation of researchers and practitioners.
Publication Top Notes📖
Metric learning based multi-branch network for tongue manifestation recognition
- Authors: Ren, S., Wu, R., Luo, Q., Wang, Y., Li, J.
Publication Year: 2024
FASCNet: An Edge-Computational Defect Detection Model for Industrial Parts
- Authors: Li, J., Wu, R., Zhang, S., Chen, Y., Dong, Z.
Publication Year: 2024
Multi-scale attention-based lightweight network with dilated convolutions for infrared and visible image fusion
- Authors: Li, F., Zhou, Y., Chen, Y., Dong, Z., Tan, M.
Publication Year: 2024
A Mixed-Precision Transformer Accelerator With Vector Tiling Systolic Array for License Plate Recognition in Unconstrained Scenarios
- Authors: Li, J., Yan, D., He, F., Dong, Z., Jiang, M.
Publication Year: 2024
A novel medical text classification model with Kalman filter for clinical decision making
- Authors: Li, J., Huang, Q., Ren, S., Deng, B., Qin, Y.
Publication Year: 2023