2023 4th International Conference on Computer Vision, Image and Deep Learning (CVIDL 2023)

Speakers

KEYNOTE SPEAKERS

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Prof. Guangjie Han,IEEE Fellow, IET/IEE Fellow、AAIA Fellow,

Hohai University, China


Guangjie Han (Fellow, IEEE) is currently a Professor with the Department of Internet of Things Engineering, Hohai University, Changzhou, China. He received his Ph.D. degree from Northeastern University, Shenyang, China, in 2004. In February 2008, he finished his work as a Postdoctoral Researcher with the Department of Computer Science, Chonnam National University, Gwangju, Korea. From October 2010 to October 2011, he was a Visiting Research Scholar with Osaka University, Suita, Japan. From January 2017 to February 2017, he was a Visiting Professor with City University of Hong Kong, China. From July 2017 to July 2020, he was a Distinguished Professor with Dalian University of Technology, China. His current research interests include Internet of Things, Industrial Internet, Machine Learning and Artificial Intelligence, Mobile Computing, Security and Privacy. Dr. Han has over 500 peer-reviewed journal and conference papers, in addition to 160 granted and pending patents. Currently, his H-index is 60 and i10-index is 257 in Google Citation (Google Scholar). The total citation count of his papers raises above 13600+ times. 

Dr. Han is a Fellow of the UK Institution of Engineering and Technology (FIET). He has served on the Editorial Boards of up to 10 international journals, including the IEEE TII, IEEE TCCN, IEEE Systems, IEEE/CCA JAS, IEEE Network, etc. He has guest-edited several special issues in IEEE Journals and Magazines, including the IEEE JSAC, IEEE Communications, IEEE Wireless Communications, Computer Networks, etc. Dr. Han has also served as chair of organizing and technical committees in many international conferences. He has been awarded 2020 IEEE Systems Journal Annual Best Paper Award and the 2017-2019 IEEE ACCESS Outstanding Associate Editor Award. He is a Fellow of IEEE.




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Prof. Jinghui Zhong, IEEE Senior Member

South China University of Technology, China


Dr. Jinghui Zhong (Senior Member, IEEE) is currently a Professor with the School of Computer Science and Engineering, South China University of Technology. From 2013 to 2016, he worked as a Post-Doctoral Research Fellow with the School of Computer Engineering, Nanyang Technological University, Singapore. His research interests include evolutionary computation, machine learning, and agent-based modeling. He has published more than 80 academic papers in international journals and conferences, including more than 30 papers in IEEE/ACM Trans. journals. He has won the first prize of the Natural Science Award of the Ministry of Education of China, and is the winner of eight International Algorithm Design Competition. Dr. Zhong is an Editor Board Member of the Memetic Computing.



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Prof. Rubo Zhang

Dalian Minzu UniversityChina


Rubo Zhang, is a doctor, professor of the College of Mechanical and Electrical Engineering, and doctoral supervisor of Harbin Engineering University. 1980-1984 studied at Harbin Institute of Ship Engineering, majoring in aircraft automatic control; 1984-1987 studied for a master's degree in aircraft navigation and control at Harbin Institute of Ship Engineering; From 1995 to 1999, he studied control theory and control engineering at Harbin Engineering University. In 2001, he was exceptionally promoted to professor. Since 2015, he has been a distinguished professor in the School of Mechanical and Electrical Engineering of Dalian Minzu University.



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Assoc. Prof. RanCheng, IEEE Senior Member

Department of Computer Science and Engineering, Southern University of Science and Technology, China

IEEE Computational Intelligence Society (CIS)


Ran Cheng, IEEE Senior Member, is currently employed as an associate professor and doctoral advisor of the Department of Computer Science and Engineering of Southern University of Science and Technology. He used to be Research Fellow of Birmingham University, UK, and visiting scholar of Honda European Research Institute in Germany. Focusing on computational intelligence, he published more than 30 long articles in IEEE Transactions, cited more than 7500 times, and 13 papers were selected into ESI and highly cited. Won the IEEE Institute of Computing Intelligence Outstanding Doctoral Thesis Award (2019), IEEE TEVC Outstanding Thesis Award (2018, 2021), IEEE CIM Outstanding Thesis Award (2020), etc; He was selected into the "Top 2% Scientists in the World (2020, 2021)", "Academic Influence List of Global Scholars (2022)", etc. He is currently the editorial board member of IEEE TEVC, IEEE TAI, IEEE TCDS, etc. We have carried out cooperation with COMAC, Huawei HiSilicon, State Grid, etc., and some of the achievements have been written in the "Fourteenth Five Year Plan" research report on the development strategy of electrical science and engineering science.

Research Areas: Computational Intelligence, Evolutionary Computing, Deep Learning

Achievements and Rewards: IEEE Transactions on Evolutionary Computation, 2021; IEEE Computational Intelligence Magazine, 2020; IEEE Computational Intelligence Society (CIS) , 2019; IEEE Transactions on Evolutionary Computation, 2018.



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Assoc. Prof. LingyuLiang,IEEE Member

South China University of Technology, China


Dr. Lingyu Liang is currently an Associate Professor with the School of Electronic and Information Engineering, and with the School of Future Technology, South China University of Technology. From 2016 to 2017, he has been as an honorary postdoctoral researcher with the Chinese University of Hong Kong. He has published over 30 scientific papers in refereed journals and conference proceedings, including TCYB, TNNLS, TMM, TAFFC, TCSVT, PR, CVPR, NeurIPS and IJCAI. He has been a principle investigator of 13 research projects, including National Natural Science Foundation of China, Guangdong Natural Science Foundation, CAAI-Huawei MindSpore Open Fund, SenseTime Research Fund for Young Scholars etc. His current research interests include image analysis and recognition (covering images of face, natural scene, document/text and architectural design) and machine learning (including analysis and application of GNN and PDE models)

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Assoc. Prof. Pingshu Ge

Dalian Minzu UniversityChina


Rubo Zhang, Pingshu Ge, Ph.D., Associate Professor, College of Mechanical and Electrical Engineering. 2002-2006, undergraduate study in Transportation, Department of Automotive Engineering, Shandong Institute of Transportation; 2006-2008, master's degree in Vehicle Operation Engineering, Jilin University; 2011, doctoral degree in Vehicle Operation Engineering, Jilin University. 2011-2016, lecturer, College of Mechanical and Electrical Engineering, Dalian University for Nationalities. Lecturer, School of Mechanical and Electrical Engineering, Dalian University for Nationalities, Dalian, China, 2011-2016; Associate Professor, Master's Supervisor, School of Mechanical and Electrical Engineering, Dalian University for Nationalities, Dalian, China, 2016-present. Hosted and completed 1 National Natural Science Foundation of China, 1 Postdoctoral Fund of China, 1 project of Liaoning Provincial Education Department, 3 projects of Central University Basic Operation Fund, and participated in 2 projects of National Natural Science Foundation of China. He has published 3 academic books and textbooks, more than 40 papers and 5 authorized invention patents.

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Dr. Yuzhang Huang


D. in Artificial Intelligence. He studied at the Beijing Institute of Technology, University of Central Lancashire, University of Birmingham, and Macau University of Science and Technology, and is mainly engaged in the research of machine vision, image processing, and intelligent driving. He is responsible for the research and development of "Nondestructive Detection of Material Defects at High Intensity and Fault Pattern Recognition Methods", "Single Image Super Resolution Engineering Research", "The Influence Mechanism of Ionospheric Changes and Spatial Environment He is responsible for research and development of many topics, such as "Non-destructive detection of material defects at high intensity and failure pattern recognition methods", "Single-image super-resolution engineering research", and "Influence mechanism of ionospheric changes and space environment".