Assoc. Prof. Andreas Velten

University of Wisconsin–Madison, USA

Andreas Velten is Associate Professor at the Department of Biostatistics and Medical Informatics and the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison and directs the Computational Optics Group. He obtained his PhD in Physics at the University of New Mexico in Albuquerque and was a postdoctoral associate of the Camera Culture Group at the MIT Media Lab. He has been included in the MIT TR35 list of the world's top innovators under the age of 35 and is a senior member of NAI and SPIE as well as a fellow of Optica. He is co-Founder of surgical imaging startup Onlume, and Ubicept, a company developing single photon imaging solutions.

Assoc. Prof. Zhiyu Jiang

Northwestern Polytechnical University, China

Zhiyu Jiang is Associate Professor with the Northwestern Polytechnical University. Previously he received the Ph.D degree in Signal and Information Processing from the University of Chinese Academy of Sciences, Beijing. China.
He focuses on computer vision and remote sensing. More than 15 papers have been accepted/published on IEEE Trans. and other top conferences. He has won the IEEE best student paper award in 2014. He served as Guest Editor, reviewers of 20+ International Journals and Transactions, such as IEEE T-CYB/IEEE T-GRS. He also served as Program Co-Chair, Steering Committee, Track Chair, TPC Member of International Conference for 50+ times.

Assoc. Prof. Yuanlong Xie
Huazhong University of Science and Technology, China 

Dr. Xie Yuanlong is an Associate Professor and Master’s Supervisor at Huazhong University of Science and Technology (HUST). He earned his Bachelor’s degree in Electrical Engineering and Automation in 2014 and his Ph.D. in Mechatronic Engineering in 2018, both from HUST. During his studies, he was a visiting scholar at the University of Leeds, UK.
Dr. Xie’s research focuses on intelligent control, mobile robotics, smart manufacturing, and autonomous systems. He has published over 140 SCI/EI-indexed papers, including 40 as first or corresponding author, and holds over 80 patents. He has led projects funded by the National Natural Science Foundation of China and the Postdoctoral Science Foundation.
As an IEEE Senior Member, Dr. Xie serves as a guest editor for journals like Sensors and Applied Sciences and has organized sessions at major conferences, including IEEE AIM and CCC.

Prof. Hui Liu
Kunming University of Science and Technology, China

Liu Hui, Ph.D., professor at KUST, doctoral supervisor, member of the 93 Society, visiting scholar at the University of Ottawa in Canada, young top talent of the "Xingdian Talent Support Program" in Yunnan Province, leader of the first batch of national first-class courses, peer review expert of the National Natural Science Foundation, senior member of the Chinese Computer Society, expert in the national graduate education evaluation and monitoring expert database, vice president of science and technology at Yunnan Kunming Iron and Steel Electronic Information Technology Co., Ltd., teaching master at Kunming University of Science and Technology, serving as a young editorial board member for journals such as "Metallurgical Automation" and "Journal of Iron and Steel Research", and reviewer for journals such as "Control and Decision making" and "Optical Engineering".Mainly engaged in theoretical and applied research in machine learning, soft sensing, image recognition, etc., leading 2 projects funded by the National Natural Science Foundation, 2 general projects funded by the Yunnan Provincial Department of Science and Technology, 1 science and technology special project for key industries served by universities in Yunnan Province, and 1 youth talent special project supported by the Yunnan Xingdian Talent Support Program. In Engineering Applications of Artificial Intelligence Computers & Chemical Engineering、Chemometrics and Intelligent Laboratory Systems、 More than 30 journal articles have been published in SCI/EI, covering topics such as control and decision-making, control theory and applications. In terms of teaching, I have led more than 10 educational reform projects, including the construction of national first-class courses, high-quality courses for graduate students in Yunnan Province, the construction of a case library for graduate courses in Yunnan Province, research projects on undergraduate education and teaching reform in Yunnan Province, and the first batch of Yunnan Province's expansion plan projects. Won the first prize in the finals of the National College Electronic Information Young Teacher Teaching Competition, the special prize in the 6th and 7th Yunnan Provincial College Teacher Teaching Competition, the second prize in the 3rd and 4th National College Teacher Teaching Innovation Competition, the "Smart Teaching Star" of the Ministry of Education's online education, and the first prize in the National UOOC Alliance's blended teaching excellent case, and more than ten other teaching awards. The MOOC "Introduction to Intelligent Control" responsible for its construction has been launched on platforms such as Strong Learning Nation, Chinese University MOOC, Xuetang Online (Chinese and International), Zhizhi Tree, Xueyin Online, and Youke Alliance.

Assoc. Prof. Gaurav Gupta
Wenzhou-Kean University, China

Dr. Gaurav Gupta is currently an Associate Professor of Mathematical Sciences (Data Analytics) at Wenzhou-Kean University in Wenzhou, China. With over 16 years of teaching and research experience, Dr. Gupta has a strong academic background. Gupta's research interests are primarily centered around Applied Mathematics, Computer Vision, and Machine Learning. Between 2007 and 2010, he contributed his expertise to the Indian Space Research Organization (ISRO). Notably, he has secured more than $150,000 in grant funding from the Wenzhou Education Bureau, highlighting his dedication to advancing educational initiatives. He has an impressive track record of publication with 60 research papers published in well-regarded journals and conferences. Furthermore, he has played a pivotal role in mentoring students, supervising two PhD students, advising nine Master's Dissertations, and overseeing three undergraduate projects.
Dr. Gupta's commitment to academic and research excellence extends to his active participation in various conferences and workshops. He has contributed as a keynote speaker, technical committee member, and session chair, making significant contributions to the academic community.

Assoc. Prof. Jiaxin Cai

Xiamen University of Technology, China

Jiaxin Cai is currently an associate professor in the School of Mathematics and Statistics, Xiamen University of Technology, China. He received a PhD degree in Mathematics (Information and Computing Science) from Sun Yat-sen University in 2014, a Master's degree in Biomedical Engineering from Southern Medical University in 2011, and a Bachelor's degree in Biomedical Engineering from Southern Medical University in 2008. He has worked as a lecturer since 2014 and then an associate professor since 2023 at Xiamen University of Technology. His research interests include machine learning and informatics. He has published over 80 papers as the first author or corresponding author in academic publications such as JACC CardioOncology，IEEE TCSVT, IEEE TAP, IEEE TCCN, and IEEE JBHI, including three paper with an IF>10, one ESI Top 0.1% hot paper, and three ESI Top1% highly cited papers. He has been awarded the Second Prize for Excellent Paper by Fujian Provincial Society for Mathematical Biology of China in 2025, and the Excellent Paper of Chinese Laser Press Issue in Acta Optica Sinica in 2015. He has been an Associate Editor of Journal of Clinical Ultrasound, an Editorial Board Member of BMC Medical Informatics and Decision Making, and an Editorial Board Member of Scientific Reports， since 2026. His ORCID is https://orcid.org/0000-0002-8989-085X.

Assoc. Prof. Kazuya Ueki

Meisei University, Japan

He received his B.S. degree in Information Engineering in 1997 and his M.S. degree in Computer and Mathematical Sciences in 1999, both from Tohoku University, Sendai, Japan. In 1999, he joined NEC Soft, Ltd., Tokyo, Japan, where he was mainly engaged in research on face recognition. He received his Ph.D. degree from the Graduate School of Science and Engineering, Waseda University, Tokyo, Japan, in 2007. From 2013 to 2017, he served as an Assistant Professor at Waseda University. He is currently an Associate Professor in the School of Information Science, Meisei University. His research interests include information retrieval, video anomaly detection, pattern recognition, and machine learning. He is involved in the video retrieval evaluation benchmark (TRECVID) sponsored by the National Institute of Standards and Technology (NIST), contributing to the development of video retrieval technology. His submitted systems achieved the highest performance in the TRECVID AVS task in 2016, 2017, 2022, and 2025.