About me

Jifeng Shen, PhD, is an Associate Professor at the School of Electrical and Information Engineering, Jiangsu University. His research focuses on pattern recognition, computer vision, and machine learning, with an emphasis on multimodal image and video analysis, including target detection, image retrieval, pose estimation, and behavior analysis. Dr. Shen has also worked extensively in the fields of biomedical signal processing and agricultural image recognition.

He holds a PhD in Pattern Recognition and Intelligent Systems from Southeast University, a Master’s in Computer Science from Jiangsu University of Science and Technology, and a Bachelor’s in Computer Applications from East China Shipbuilding Institute. In addition, he completed postdoctoral research at Jiangsu University, under the guidance of Professor Guohai Liu, and was a visiting scholar at Temple University, collaborating with Professor Haibin Ling.

Dr. Shen has made significant contributions to both academic research and practical applications. He has published more than 50 papers in internationally recognized journals, including high-impact publications such as Pattern Recognition and IEEE Transactions on Intelligent Transportation Systems. His work on pedestrian detection, human activity recognition, and multispectral object detection has garnered wide attention. Furthermore, he has secured five patents and led several research projects funded by provincial and national foundations, focusing on intelligent image analysis and multimodal feature fusion.

In addition to his research, Dr. Shen is a dedicated educator, teaching undergraduate courses such as Image Processing, Pattern Recognition, Foundations of Machine Learning, and programming courses in Python and MATLAB. He is actively involved in guiding graduate students, several of whom have earned prestigious awards and recognitions under his mentorship.

Dr. Shen is a member of the Pattern Recognition Special Committee of the Jiangsu Artificial Intelligence Society and serves as a reviewer for leading journals, including IEEE Transactions on Cybernetics and IEEE Transactions on Multimedia. His leadership and expertise in computer vision and intelligent systems continue to drive innovation in both academic and applied research settings.