2024 3rd International Conference on Image Processing, Object Detection and Tracking(IPODT 2024)
IPODT 2024
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Keynote Speakers

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Prof. Zhenghao Shi, Xi’an University of Technology, China (IEEE Senior Member)

石争浩教授,西安理工大学


Experience:

Zhenghao Shi received the Ph.D degree in computer architecture from Xi’an institute of microelectronics, Xi’an, China, in 2005. In 2000, he joined Xi’an University of Technology, Xi’an, China. Now, he is a full professor of the department of computer science and engineering at the same University. He is also a member of the Academic Committee of Xi'an University of Technology, the Chairman of the Computer Vision Technology Professional Committee of Shaanxi Computer Society, the Vice Chairman of the Biomedical Intelligent Computing Professional Committee of Shaanxi Computer Society, the director of the research team for "Intelligent Image Processing and Applications" at Xi'an University of Technology, and an editorial board member of the Chinese Journal of Graphics and Images currently.

During the period of 2006 to 2007, of 2008 to 2009, he was on leave with the department of computer science and engineering at Nagoya institute of technology, Nagoya, Japan, for image research as a postdoctral researcher, respectively. From 2007 to 2008, he was a research associate in the Kurt Rossmann Laboratories for Radiologic Image Research, the Department of Radiology, the Division of Biological Sciences, the University of Chicago. From December 2016 to December 2017, he was a visiting associate professor in the the Image Display, Enhancement, and Analysis (IDEA) Lab in the Department of Radiology, the Division of Biological Sciences, the University of North Carolina at Chapel Hill (UNC). 

His research interests include neural networks for image processing and pattern recognition, computer-aided diagnosis, and image processing suggested by the human visual systems. He has published more than 60 academic papers as the first author or corresponding author, won 2 second prizes of Shaanxi Province Science and Technology Progress Award (ranked first), 1 second prize of Xi'an Science and Technology Progress Award (ranked first), 2 second prizes of Shaanxi Higher Education Science and Technology Award (ranked first), 1 second prize of Shaanxi Computer Society Science and Technology Progress Award (ranked first), and won the 2022 Wiley Weili China Open Science High Contribution Author Award.He is a Distinguished Member of CCF, a senior member of the IEEE, also a member of ACM.


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Assoc. Prof. Jun Wang, Shanghai University, China (IEEE Senior Member)

王骏副教授,上海大学


Experience:

Jun Wang is an Associate Professor with the School of Communication and Information Engineering, Shanghai University, Shanghai, China. He is a Senior Member of IEEE and CCF. He worked as a research scientist in the Department of Computing, the Hong Kong Polytechnic University in 2010, and as a postdoctoral fellow in the IDEA Lab, The University of North Carolina at Chapel Hill (UNC-CH), Chapel Hill, NC, USA from 2016-2017. His research interests include medical image analysis, computer vision, and pattern recognition. He has published more than 80 peer-reviewed papers in the international journals and conference proceedings.