- 906-487-3386 (Office); 906-487-1723 (Lab)
- EERC 223
Associate Professor, School of Technology
Dr. Jinshan Tang is currently an associate professor of the computer network and administration program in the School of Technology at Michigan Technological University. He got his PhD degree from Beijing University of Posts and Telecommunications and received postdoctoral training at Harvard Medical School and National Institute of Health.
From 1998 to 2000, he worked as an invited researcher at ATR Media Integration and Communication Research Laboratories, Kyoto, Japan. In 2000, he joined Schepens Eye Research Institute, Harvard Medical School as a postdoctoral research associate. From 2001 to 2004, he was with University of Virginia, Charlottesville. From 2004 to 2005, he was with National Cancer Institute, National Institutes of Health, Bethesda, MD. From 2005 to 2006, he was a senior engineer at Intel, Hudson, MA. From 2006 to 2011, he was an assistant professor at Alcorn State University, Alcorn State, MS.
Dr. Tang’s research covers wide areas related to image processing and imaging technologies. His specific research interests include biomedical image analysis and biomedical imaging, biometrics, computer vision and image understanding. He has obtained more than one million dollars grants in the past years as a PI or Co-PI. He published more than 80 refereed journal and conference papers. He served as a committee member at different international conferences. He is a senior member of IEEE and a member of the Technical Committee on Information Assurance and Intelligent Multimedia-Mobile Communications, IEEE SMC society.
- Image processing and pattern recognition
- Biomedical imaging and medical image analysis
- Medical informatics and intelligent medical diagnosis system
- Computer networking
- Advanced programming
- Medical information system
- Medical image analysis
Selected Publications (From 85 publications)
- Zhou, Huiyu, Huosheng Hu, Honghai Liu, Jinshan Tang. In press. Classification of Upper Limb Motion Trajectories Using Shape Features, IEEE Transaction on System, Man, and Cybernetics, Part C (In Press).
- Tang, Jinshan, Xiaoming Liu, Huaining Cheng, and K. M. Robinette. 2011. Gender Recognition Using 3-D Human Body Shapes, IEEE Transaction on System, Man, and Cybertics, Part C, Vol. 41, No. 6, pp. 898-908.
- Tang, Jinshan, Raj Rangayyan,Yongyi Yang, I. El Naqa, Jun Xu. 2009. Computer Aided Breast Cancer Detection and Diagnosis Using Mammography: Recent Advance, IEEE Transactions on Information Technology in Biomedicine, Vol. 13, No. 2, pp. 236-251.
- Tang, Jinshan, Xiaoming Liu, Qingling Sun. 2009. An Direct Image Contrast Enhancement Algorithm Based on Wavelet Transform for Screening Mammograms, IEEE Journal on Selected Topics in Signal Processing,Vol. 3, No. 1, pp. 74-80.
- Tang, Jinshan. 2009. A Multi-direction GVF Snake for the Segmentation of Skin Cancer Images, Pattern Recognition, Vol. 42, No. 6, pp. 1172-1179.
- Xu, Jun, Yong-Yan Cao, Youxian Sun and Jinshan Tang. 2008. Absolute Exponential Stability of Recurrent Neural Networks with Generalized Activation Function, IEEE Transaction on Neural Network, Vol. 19, No. 6, pp. 1075-1089.
- Tang, Jinshan, Garry Choy, Peter Choyke. 2006. Dynamic Contrast Enhanced MRI Predicts Early Response to Tumor Necrosis Factor in a Colon Carcinoma Model, Investigative Radiology, Vol. 41, No. 9.
- Tang, Jinshan, Steven Millington, Scott Acton, Jeff Crandall and Shepard Hurwitz. 2006. Surface Extraction and Thickness Measurement of the Articular Cartilage from MR Images Using Directional Gradient Vector Flow Snake, IEEE Tr. on Biomedical Engineering, Vol. 52, No. 5.
- PI, Medical Informatics Research, supported by Michigan Technological University
- PI, Investigation of Advanced Image Processing Technologies for Crack Detection in Pavement Management System, subaward from JSU, supported by US Department of Transportation
- PI, Collection of Bio-feature Data and Establishment of a Database for the Prediction of Human Behavior, Air Forces Research Lab
- PI, Automatic 3-D Human Body Shape Extraction from a Single-aperture 3D Infrared sensor for Biometric Applications, Air Forces Research Lab
- PI, 3-D Ultrasound Imaging Technology and the Development of 3-D Image Analysis Technology for Cattle Reproduction Application, USDA