INVITED Speakers

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.