Assoc. Prof. Jiaxin Cai

Xiamen University of Technology, China

Jiaxin Cai received his Ph.D. degree in Information and Computation Science from Sun Yat-Sen University in 2014. He also received his M.S. degree and B.Sc. degree in Bio-medical Engineering from Southern Medical University in 2011 and 2008 respectively. Currently, he is an associate professor in the School of Mathematics and Statistics at Xiamen University of Technology. He has authored over 36 peer-reviewed papers at academic journals and conferences. His current research interests include machine learning, computer vision and bio-medical engineering.

Assoc. Prof. Souad BEZZAOUCHA REBAÏ

 Électrique Informatique et AutomatiqueLa Rochelle, France

Souad BEZZAOUCHA REBAÏ graduated from Ecole Nationale Polytechnique, Algeria, where she received an Engineer Diploma in Automation Control (Valedictorian with highest class) and a Master of Science in Electrical Engineering in 2005 and 2007, respectively.
She received a Master degree in Computer Science Engineering from Ecole Polytechnique, France in 2010 (Excellence Scholarships from the Foundation of Ecole Polytechnique) and spent one year from 2007 to 2008 as a research student at the Graduate School of Engineering, Kyoto University, Japan (Japanese Government- Monbukagakusho Scholarship). She received her PhD from Université de Lorraine, France, in 2013. From January 2014 to May 2015 she was a postdoctoral fellow and lecturer at Laboratoire de l’Intégration du Matériau au Système (IMS), Bordeaux, France and Bordeaux Polytechnic National Institute (INP) Enseirb-MatMeca. From June 2015 to May 2020 she was a Research Associate at the Interdisciplinary Center for Security, Reliability and Trust (SnT), University of Luxembourg, where she worked on various robotic and cyber-security projects. Since March 2021 she was appointed as Associate Professor at EIGSI-La Rochelle and she is attached to the MIA laboratory- La Rochelle University as associate researcher since Jan 2023. Her research interests are in robust control theory, observers design, nonlinear Systems, robotics and cyber security.

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.

Prof. Seokwon Yeom

Daegu University, South Korea

Seokwon Yeom has been a faculty member of Daegu University since 2007. He has a Ph.D. in Electrical and Computer Engineering from the University of Connecticut in 2006.
He has been a guest editor of Applied Sciences and Drones in MDPI since 2019. He has served as a board member of the Korean Institute of Intelligent Systems since 2016, and a member of the board of directors of the Korean Institute of Convergence Signal Processing since 2014. He has been program chair of several international conferences. He was a vice director of the AI homecare center and a head of the department of IT convergence engineering at Daegu University in 2020-2023, a visiting scholar at the University of Maryland in 2014, and a director of the Gyeongbuk techno-park specialization center in 2013.
His research interests include Intelligent image and optical information processing, deep and machine learning, and target tracking.
 

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.

Assoc. Prof. Xie Ming
Nanyang Technological University, Singapore

Xie Ming received the B.Eng degree in control and automation engineering from East-China Institute of Textile Technology (now, under the name of Donghua University, Shanghai, China). Subsequently, as a recipient of the nation's prestigious overseas scholarship of Chinese government, he has completed the postgraduate studies and doctorate research works, and has received the Master degree from the University of Valenciennes (France) in 1986 as well as the PhD degree from the University of Rennes (France) in 1989. Since 1986, he has worked as Research Assistant at IRISA-INRIA Rennes, Expert Engineer at INRIA Sophia-Antipolis, Lecturer/Senior Lecturer/Associate Professor of Nanyang Technological University, Fellow of Singapore-MIT Alliance (SMA) (Affiliated with Innovation in Manufacturing Systems and Technology Program), Guest Professor of Huazhong University of Science and Technology (2002, 2006), Professor awarded by China's Jiangsu Provincial Government (2014), and Dean of College of Electrical Engineering and Control Science at Nanjing Tech University (2014-2016). He was the General Chair of 2007 International Conference on Climbing and Walking Robots (CLAWAR), the General Chair of 2009 International Conference on Intelligent Robotics and Applications (ICIRA), the Co-founder of the International Journal of Humanoid Robotics (SCI/SCIE indexed), Co-founder of Singapore-China Association for Advancement of Science and Technology, Co-founder of Robotics Society of Singapore. He has taught the courses such as Robotics, Artificial Intelligence, Applied Machine Vision, Measurement and Sensing Systems, Microprocessor Systems, and University Physics. In terms of scientific research, he has authored three books in English, two books in Chinese, and two edited books in English. He has published several book chapters, over 10 patents of invention, over 40 research papers in scientific journals and over 100 research papers in international conferences. He was the recipient of one best conference paper award from World Automation Congress, the recipient of one best conference paper award from CLAWAR, the recipient of one outstanding paper award from International Journal of Industrial Robot, the recipient of one Gold Prize (S$8K) from CrayQuest, the recipient of one Grand Champion Prize (S$15K) from CrayQuest, the recipient of one A-Star's Best Research Idea Prize (S$5K), the recipient of one Silver Medal from Dragon Design Foundation.

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. Hanzhong Wu
Huazhong University of Science and Technology, China

Hanzhong Wu, Associate Professor, member of the Geometric Quantities Professional Committee of Chinese Society for Metrology and Testing, member of the organizing committee of CLEO-PR, editor of Optics Express, and a peer-review expert for the National Natural Science Foundation of China. He was awarded the Outstanding Doctoral Dissertation Award by Chinese Instrument and Control Society. He has been the principal investigator of more than ten projects, including the National Key R&D Program projects, National Natural Science Foundation of China, 173 Fund, Enterprise Joint Fund, etc. He has been engaged in the research of ultra-precision measurement technology based on optical frequency combs, and the development of new types of optical combs and their scientific instruments. He has published more than 50 papers in journals such as Nature Communications, Advanced Photonics Nexus, Optics Letters, Applied Physics Letters, etc., and applied for more than 20 invention patents. The graduate students he supervised have received awards such as the National Scholarship, Outstanding Graduate Student, Outstanding Academic Report Award, etc.

Prof. Xiang Peng

Shenzhen Anhua Optoelectronics Technology Co., Ltd,  China

Prof, Xiang Peng graduated from the School of Precision Instrument and Opto-Electronics Engineering, Tianjin University in 1982. From 1990 to 1992, he worked as Alexander von Humboldt Fellow at University of Stuttgart. From 1992 to 2002, he worked at the School of Precision Instrument and Opto-Electronics Engineering. In January 2003, he was transferred to Shenzhen University as a professor and has been selected as Highly Cited Scholar in China by Elsevier (2022), and top 2% scientists with a life-time influential impact on science by Stanford and Elsevier. Now he is the chief scientist and laboratory director of Shenzhen Anhua Optoelectronics Technology Co., Ltd. Prof. Peng's research activities have been supported by the Natural Science Foundation of China (NSFC), Sino-German Center for Research Promotion (SGCRP), and Industrial Sectors.

Assoc. Prof. Yang Zhang

Hubei University of Technology,  China

Dr. Zhang is an associate professor at the School of Mechanical Engineering, Hubei University of Technology. He was a postdoctoral fellow at The Chinese University of Hong Kong, and a Wuhan Talent - Outstanding Young Talent. He has been engaged in research on machine vision and multimedia information processing. He received his Ph.D. in Computer Science and Technology from Nanjing University in 2021. He has published nearly 50 papers in IEEE TIE, TII, TMM, TITS, TIV, TASE, TIM and other journals, and has been granted 7 invention patents. He has led the National Natural Science Foundation of China, the Hubei Provincial Natural Science Foundation, Open Fund of the State Key Laboratory of Computer Software New Technology, National Key Laboratory of Intelligent Optimization Manufacturing for Mining and Metallurgy Processes, and the Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education. He has won the Third Prize of the Hubei Provincial Science and Technology Progress Award and the Excellent Award of the China Industry-Academia-Research Cooperation Innovation Achievement Award.

Dr. Minglei Yuan

Anhui University of Finance and Economics Hefei Institute for Advanced Research, China

Dr. Minglei Yuan holds a Ph.D. in Computer Science and Technology from Nanjing University and is currently an Associate Professor at both the Department of Computer Science and Technology at Anhui University of Finance and Economics and the Hefei Higher Research Institute. His research primarily focuses on machine learning and pattern recognition. Dr. Yuan has successfully led key Natural Science Research projects funded by the Anhui Provincial Department of Education in 2016 and 2023. His findings have been published in internationally renowned journals such as Pattern Recognition, Frontier in Plants Science, and Expert Systems with Applications, and he has presented his work at major academic conferences including IEEE international conferences, ICPR, and IJCNN.

Dr. Chen Nenglun

Nanjing University of Information Science and Technology, China

Chen Nenglun is currently a Lecturer with Nanjing University of Information Science. He received his Ph.D. degree from the University of Hong Kong in 2022. He mainly engages in research related to computer graphics and computer vision. His research interests include multimodal learning, digital geometric modeling, medical image processing, self-supervised learning, scene understanding, and shape analysis. He has published over 15 papers in top-tier international conferences and journals. He is also a reviewer for multiple top-tier conferences and journals, including CVPR, ICCV, SIGGRAPH, and TVCG.