Home

Invited Speakers

 

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. Feng Shou
Harbin Engineering University, China

 

 

 

Feng Shou, Associate Professor, Ph.D. Supervisor of Harbin Engineering University, Deputy Director of the Key Laboratory of Advanced Ship Communication and Information Technology of the Ministry of Industry and Information Technology, IEEE member, Senior member of the Chinese Society of Communications, Member of the Imaging Detection and Perception Committee of the Chinese Society of Image and Graphics, peer review expert of the National Natural Science Foundation of China, academic dissertation review expert of the Ministry of Education, Visiting Scholar of Indiana University Bloomington, Guest Editor of Remote Sensing, an international authoritative journal in the field of remote sensing. Member of the editorial board of international Journal Frontiers in Imaging, American Journal of Remote Sensing, He also serves as a reviewer for many authoritative academic journals such as IEEE TIP, IEEE TGRS, IEEE GRSL, and Remote Sensing. In the past three years, he has published 30 academic papers as the first/corresponding author in top journals in the field of Remote Sensing such as IEEE TIP, IEEE TGRS, and Remote Sensing, and 3 papers have been selected as ESI highly cited papers. Published 6 conference papers in IGARSS and other international conferences, applied for 8 national invention patents as the first inventor, and has authorized 4. Served as the Branch Chair of IGARSS2020 and IGARSS2021, as a member of the Organizing Committee of IGARSS2023, organized the Community-Contributed Session "CCS.9: Recent Advances in Hyperspectral Image Processing: Methodology and Application ". As a guest editor, he organized 4 special issues in Remote Sensing.

 

Prof. Cuiping Shi
Huzhou University, China

 

 

 

Cuiping Shi, Professor at Huzhou University, and PhD supervisor at Hangzhou Normal University. In 2016, she obtained a Doctor of Engineering degree from Harbin Institute of Technology (HIT), China, and her doctoral thesis was nominated for the "19th Outstanding Doctoral Dissertation" at HIT. In 2020, she graduated from the Information and Communication Engineering Postdoctoral Station at Harbin Engineering University with an "excellent" result. She is high-level talent at Huzhou city, as well as provincial high-level talent. She is mainly engaged in remote sensing image analysis and processing, as well as research on machine learning and artificial intelligence.
In the past five years, she has led two National Natural Science Foundation of China (NSFC), two Provincial Natural Science projects, one China Postdoctoral Science project, one Provincial Postdoctoral Science project, and also participated in some 863 projects and other provincial projects. Some of her completed achievements have been recognized as "domestic advanced level"; she has published more than 80 papers in domestic and international academic journals such as IEEE TGRS, IEEE JSTARS, Expert System with Applications, Neural Networks, etc., including 40 SCI papers as the first author or corresponding author. She has published one academic monograph, which was awarded "Excellent Book in Heilongjiang Province" in 2021, and participated in the translation of two books, "Satellite Data Compression" and "Remote Sensing Digital Image Analysis: An Introduction" (Fifth Edition); She has applied for over 30 patents and has been granted 14 invention patents as the first inventor.

 

Assoc. Prof. Haixia Bi
Xi’an Jiaotong University, China

 

 

 

Haixia Bi, Associate Professor, Ph.D. Supervisor with the School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an, China. She received the Ph.D. degree in computer science and technology from Xi’an Jiaotong University, Xi’an, China, in 2018. She was a Post-Doctoral Research Fellow with the University of Derby, Derby, U.K., from 2018 to 2019, and the University of Bristol, Bristol, U.K., from 2019 to 2021.
Her research interests include remote sensing image classification and multi-modality image fusion. She has published more than 40 papers in top journals and conferences in the field of remote sensing such as IEEE TIP, IEEE TGRS, IGARSS etc, and 2 papers have been selected as ESI highly cited papers.
She has been active reviewers for many authoritative academic journals, such as IEEE TPAMI, IEEE TIP, IEEE TGRS, information fusion etc. She was the recipient of the Best Reviewer Award of the IEEE Geoscience and Remote Sensing Letters in 2019 and 2021. She serves as a guest editor of Remote Sensing special issue. She served as session chairs in IEEE NTCI 2023 and IGARSS 2024.

 

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.

 

Assoc. Prof. Lijuan Su
Beihang University, China

 

 

 

Lijuan Su is currently an associate professor of School of Instrumentation and Optoelectronic Engineering at BeiHang University. Received her BA degree of mechanical engineering from the University of Science and Technology of China in 2003, a MS degree of optical engineering from Chinese Academic of Science in 2006, and a PhD of industrial engineering from the Ohio State University in 2010. Prof Su’s research interests are mainly engaged in Optical Image Engineering and Image Processing technologies, specially focus on hyperspectral imaging techniques, light field imaging techniques as well as the hyperspectral image and light field image enhancement techniques.