INVITED Speakers
Assoc. Prof. Hong Wu
University of Electronic Science and Technology of China, China
Dr. Hong Wu is an Associate
Professor at the School of Computer Science and Engineering,
University of Electronic Science and Technology of China. He
earned his B.S. degree in Computer Science from the
University of Science and Technology of China in 1993, and
his Ph.D. in Pattern Recognition and Machine Intelligence
from the Institute of Automation, Chinese Academy of
Sciences in 2004. From May 2004 to May 2006, Dr. Wu served
as an Associate Researcher at NEC Laboratory China. He
joined the University of Electronic Science and Technology
of China as an Associate Professor in 2006. Dr. Wu's
research interests include computer vision, pattern
recognition, and applications of large language models
(LLMs). He has published more than 40 research papers.
Additionally, he has led a General Program research project
funded by the National Natural Science Foundation of China
and over 10 AI application research projects funded by the
industry.
Prof. Minghua Zhao
Xi’an University of Technology, China
Minghua Zhao was born in 1979. She is a Distinguished member
of CCF(China Computer Federation), a senior member of
CSIG(China Society of Image and Graphics), a member of CCF
virtual reality and visualization technology professional
committee, and CSIG multimedia professional committee. She
received her Ph.D. degree in computer science from Sichuan
University in 2006. Currently, she is a professor, doctoral
supervisor in the School of Computer Science and
Engineering, and dean of Information Management Center,
Xi’an University of Technology.
Her research interests include computer vision, visual
anomaly detection, intelligent information processing, and
image recognition. In recent years, She has presided over
more than 20 key projects funded by the National Natural
Science Foundation of China,etal, published over 100
high-level papers, authorized over 50 national invention
patents, and won more than 10 teaching and research awards
such as the Second Prize for Science and Technology in
Shaanxi Province.
Assoc. Prof. Peiqin Li
National University
of Defense Technology, China
Peiqin Li, male, born in 1980, is an associate professor at
National University of Defense Technology and an expert in
the Guangdong Provincial Science and Technology Department.
He has long been engaged in teaching and scientific research
in the fields of image processing and artificial
intelligence, and has undertaken a number of research
projects and engineering projects in video image analysis,
face recognition, target detection, information systems,
trajectory analysis, and other fields.
Assoc. Prof. Fatimah Khalid
Universiti Putra
Malaysia, Malaysia
Prof. Madya Dr. Fatimah Khalid is a distinguished academic
with a PhD in Computer Science from Universiti Kebangsaan
Malaysia. She has been a lecturer at Universiti Putra
Malaysia since 1999, specializing in Computer Vision,
Digital Image Processing, and Image Compression. She has an
extensive teaching portfolio, including international
experience at Tabuk University in Saudi Arabia and M. Auezov
South Kazakhstan University. Her research spans areas such
as Deep Learning for next-generation animal identification,
disease diagnosis in Harumanis Mango Leaves, and
advancements in font generation using AI. She has authored
over 100 publications and presented at numerous
international conferences. Dr. Fatimah has also conducted
hands-on training sessions on Artificial Intelligence and
Computer Vision in agriculture, demonstrating her commitment
to applying advanced technology in various fields.
Assoc. Prof. Debashis Das
Dr. Sudhir Chandra Sur Institute of Technology & Sports Complex, India
Dr. Debashis Das has received his PhD degree from the
department of Computer Science & Engineering, Indian
Institute of Technology (Indian School of Mines), Dhanbad in
2017. At present he is working as an Associate Professor in
the department of Computer Science & Engineering at Dr.
Sudhir Chandra Sur Institute of Technology & Sports Complex,
West Bengal, India. His research interest is in Image
Processing, Image Steganography and Biometric
Authentication. Till date he has published 25 research
articles in several conferences and journals of
international repute. He has served as a reviewer, technical
committee member of different reputed journals and
conferences in India and abroad. He has completed one
Government funded project sponsored by Defence Research &
Development Organization, India. He is the life member of
ISTE (Indian Society of Technical Education) and member of
IEEE since 2019. He is also associated with Institutions
Innovation Council, Ministry of Human Research Development,
Government of India as an Innovation Ambassador.
Assoc. Prof. Tingting Yang
University of
Sanya, China
Tingting Yang, a high-level talent in Hainan Province and a
member of the National New Engineering Virtual Reality
Education Committee, is a visiting scholar at Beijing Normal
University. Her research focuses on the application of 3D
vision and virtual reality technology. She has led two
grants from the Hainan Natural Science Foundation and two
projects from the Sanya Science and Technology Bureau.
Additionally, she has been involved in six grants from the
Hainan Natural Science Foundation, three educational reform
projects, and three research projects from the Hainan
Education Bureau. Yan Tingting has published more than 30
academic papers in journals and international conferences,
including 3 in the SCI index, over ten EI-indexed articles,
and one in a core Chinese journal. She has also authored or
co-authored four textbooks and holds two software
copyrights, three utility patents, and one invention patent.evelopment,
Government of India as an Innovation Ambassador.
Assoc. Prof. Xueying Wang
National University of Defense Technology, China
Wang Xueying, male, born in July 1987, is an associate professor at the National University of Defense Technology. He received his bachelor's degree from Beihang University in 2009 and his Ph.D. degree from National University of Defense Technology in 2016. In recent years, he has published more than 20 SCI/EI indexed papers in IEEE Transaction on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letter, etc., and served as a reviewer for corresponding international journals.
Assoc. Prof. Chunzhi Li
Huzhou University,
China
Chunzhi Li received the M.Sc. and Ph.D. degrees respectively
in the Department of Computer Science from Wuyi University,
Jiangmen, China and in the Department of Computer Science
and Technology, East China Normal University, Shanghai,
China, in 2007 and 2014.
She is currently an associate professor with the Department
of School of Information Engineering, Huzhou University,
Huzhou City, Zhejiang Province, China, also a visiting
scholar with the College of computer science and technology,
Zhejiang University, Zhejiang Province, China. She has been
a visiting associate professor in 2019-2020 with the
Department of Electrical and Electronic Engineering, the
University of Hong Kong, Hong Kong. Her main research area
is Remote Sensing Image Processing and has published more
than 30 papers on “remote sensing” in the excellent
journals, such as IEEE Trans. Geosci. Remote Sens., Signal
Processing, IEEE Sensors Journal, IEEE Geoscience and Remote
Sensing Letters.
Assoc. Prof. Yifan Zuo
Jiangxi University
of Finance and Economics, China
Yifan Zuo, Department Chair of the School of Information
Management at Jiangxi University of Finance and Economics,
Associate Professor, Master's Supervisor. In 2019, he was
selected for the "Double Thousand Plan" of Jiangxi Province.
In 2022, he received funding from the Jiangxi Provincial
Outstanding Youth Fund. He was awarded the Second Prize of
Higher Education Achievement by the China Society of Image
and Graphics. Over the past 5 years, he has published 18
research papers in prestigious journals such as IEEE
Transactions on Image Processing, IEEE Transactions on
Multimedia, IEEE Transactions on Circuits and Systems for
Video Technology, and conferences such as AAAI and ACM
SIGGRAPH, which are recognized by the Chinese Computer
Federation (CCF) as Class A conferences. He has led one
National Natural Science Foundation general project and one
Youth project, as well as six provincial projects. He has
been granted more than 10 national invention patents.
Asst. Prof. Leiou Wang
Institute of
Acoustics, Chinese Academy of Sciences, China
Leiou Wang got the Ph.D. in Signal and Information
Processing, University of Chinese Academy of Sciences, China
2015.7 and achieved the Chinese Academy of Sciences, Zhu Li
Yuehua Outstanding Doctoral Scholarship, 2015. He devoted
himself to signal processing area, especially intelligent
signal processing for many years and held multiple projects
including National Natural Science Foundation of China. He
published near 30 academic papers including IEEE Trans. on
Aerospace and Electronic Systems, IEEE Trans. on Circuits
and Systems, and European Signal Processing Conference,
meanwhile he was granted near 20 national patents. He served
as the sub-Session Chairman in IEEE International Conference
on Signal Processing 2016. Now, he is IEEE Member, IEEE
Signal Processing Society Member and Reviewer for Journals
including IEEE Transactions on Circuits and Systems, IEEE
Transactions on Vehicular Technology. He currently focused
on machine learning and deep learning for underwater signal
processing.
Asst. Prof. Shuaitong Zhang
Beijing Institute
of Technology, China
Shuaitong Zhang is an Assistant Professor in the School of Medical Technology, Beijing Institute of Technology. He completed his Ph.D degree at the Institute of Automation, Chinese Academy of Sciences in 2020 and has dedicated the past decade to supporting treatment decision-making of esophageal cancer and brain tumors through medical image analysis and deep learning. His recent research interests include the analysis of longitudinal medical images, image segmentation and generation. To data, he has authored over twenty academic papers published in journals, such as the International Journal of Radiation Oncology*Biology*Physics, npj Precision Oncology, and European Radiology, and conferences including MICCAI2024 and ICDIP2024. His research has been reported by EurekAlert!, a global science news platform by the American Association for the Advancement of Science (AAAS). Furthermore, he also has secured research funding from the National Natural Science Foundation of China, Beijing Natural Science Foundation projects, and has been honored with Yong Elite Scientist Sponsorship Program by the Beijing Association for Science and Technology.