icigp_contact@163.com +86-18000547208
Assoc. Prof. Guangyu Gao
Beijing Institute of Technology, China
Gao Guangyu, Ph.D., Associate Professor in Beijing
Institute of Technology, IBM Faculty Award Scholar. He
is the vice director of the Institute of Data Science
and Knowledge Engineering at Beijing Institute of
Technology. He also serves as the Secretary of the China
Engineering Education Accreditation Association (CEEAA).
Previously, he served as the assistant director of the
Economic and Information Commission of Shunyi District,
Beijing.
He obtained his Ph.D. in Engineering jointly from
Beijing University of Posts and Telecommunications and
the National University of Singapore in 2013, and in
2016, he was a visiting scholar at IBM China Systems
Development Center.
His main research interests include deep learning,
computer vision, and multimedia analysis. He was awarded
as the IBM Faculty Award in 2016, 2017 and 2019, which
is highly competitive and recognizes the quality of his
research and program as well as its importance to the
industry. His work won the IEEE Nominate Video Award at
the 12th IEEE International Conference on Ubiquitous
Intelligence and Computing (UIC 2015). He also directed
his students to win the Honorable Mention in ``Vision
Meets Drone: A Challenge-Task-2: object detection in
videos" of ICCV 2019.
Assoc. Prof. Kazuya Ueki
Meisei
University, Japan
He received a B.S. in Information Engineering in 1997, and an M.S. in the Department of Computer and Mathematical Sciences in 1999, both from Tohoku University, Sendai, Japan. In 1999, he joined NEC Soft, Ltd., Tokyo, Japan. He was mainly engaged in research on face recognition. In 2007, he received a Ph.D. from the Graduate School of Science and Engineering, Waseda University, Tokyo, Japan. In 2013, he became an assistant professor at Waseda University. He is currently an associate professor in the School of Information Science at Meisei University. His current research interests include pattern recognition, video retrieval, character recognition, human action recognition, and anomaly detection. He is researching the video retrieval evaluation benchmark (TREVID) sponsored by the National Institute of Standards and Technology (NIST) and is contributing to the development of video retrieval technology. In 2016, 2017, and 2022, his submitted systems achieved the highest performance in the TRECVID AVS task.
Assoc. Prof. Kangjian He
Yunnan
University, China
Kangjian He is an Associate Professor at School of Information Science and Engineering, Yunnan University. He was selected for the “Xingdian Talent Support Program” of Yunnan Province and as a “Donglu Talent Young Scholar” of Yunnan University. He received the Ph.D. degree from Yunnan University, Kunming, China, in 2019. From 2020 to 2022, he is a Post-Doctoral Research Fellow with the School of Information Science and Engineering, Yunnan University. He presided over three NSFC and provincial projects. He has authored and co-authored over 40 papers in refereed international journals and conferences. His current research interests include multimodal image processing, neural network theory and applications.
Prof. Jing Meng
Qufu
Normal University, China
Jing Meng is a professor at Qufu Normal University (QFNU). Prior to joining QFNU, she received her Ph.D. degree in computer engineering from Soochow University in 2006. She engaged in photoacoustic imaging as a research fellow at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences from 2011 to 2013, and engaged in medical imaging processing and privacy protection at Georgia State University from 2019 to 2020. Her research on photoacoustic and medical image analysis has been supported by NSFC, local governments, and industry, and published more than 30 related academic papers including Photoacoustic, Optics Express, Optics Letters and Biomedical Optics Express. Her current research interests include photoacoustic imaging, image processing and analysis, reconstruction algorithms, and deep learning.
Chinese
Chinese