2024 2nd International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2024)
Keynote Speakers
Prof.Jianguo Ma
IEEE Fellow, Zhejiang Lab, China
Biography: Jianguo Ma received the doctoral degree in engineering in 1996 from Duisburg University, Duisburg, Germany. He was a faculty member of Nanyang Technological University (NTU) of Singapore from Sept 1997 to Dec. 2005 after his post-doctoral fellowship with Dalhousie University of Canada in Apr 1996 – Sept 1997. He was with the University of Electronic Science and Technology of China in Jan 2006 – Oct 2009 and he served as the Dean for the School of Electronic Information Engineering and the founding director of the Qingdao Institute of Oceanic Engineering of Tianjin University in Oct. 2009 – Aug 2016; he joined Guangdong University of Technology as a distinguished professor in Sept 2016 – Aug 2021. Dr. Ma served as the Vice Dean for the School of Micro-Nano Electronics of Zhejiang University in Sept, 2021 – Oct 2022, Starting from 1 Nov 2022 he joins the Zhejiang Lab. His research interests are: Microwave Electronics; RFIC Applications to Wireless Infrastructures; Microwave and THz Microelectronic Systems;
He served as the Associate Editor for IEEE Microwave and Wireless Components Letters in 2003 –2005; He was the member for IEEE University Program ad hoc Committee (2011~2013).
Dr. Ma was the Member of the Editorial Board for Proceedings of IEEE in 2013-2018
He is Fellow of IEEE for the Leadership in Microwave Electronics and RFICs Applications
Dr. Ma was serving as the Editor-in-Chief of IEEE Transactions on Microwave Theory and Techniques in 2020 –2022.
Prof. Weishan Zhang
China University of Petroleum, China
Biography: Weishan Zhang is a full professor at the School of Computer Science and Technology, China University of Petroleum (East China). He is the director of the Shandong Province Credible Artificial Intelligence Ecology Laboratory, Vice Chairman of the Federation Data and Federation Intelligence Committee of the China Association of Automation, and Chairman of the Qingdao Artificial Intelligence Society. He holds a bachelor, master, and doctoral degree from Northwestern Polytechnical University, and have worked at the National University of Singapore, Tongji University, University of Carlton in Canada, and Aarhus University in Denmark.
His research focuses on big data intelligent processing, trustworthy artificial intelligence, and neuromorphic intelligence. He has published nearly 200 related papers and have been granted nearly 20 invention patents. He serves as an Associate Editor for IEEE Transactions on Intelligent Vehicles, as well as a guest editors for top journals such as IEEE Internet of Things and IEEE Transactions on Computational Social Systems. He is the PI for a series of projects such as the National Natural Science Foundation of China, and cooperated deeply with Haier Group, Aerospace Science and Industry, China Electric Power, China National Petroleum Corporation, and other units.
For the excellent contributions to the research and applications of trustworthy artificial intelligence and big data intelligent processing, he is ranking first to won a series of awards, including the first prize of Qingdao Science and Technology Progress Award, the second prize of Shandong Science and Technology Progress Award, the third prize of Wu Wenjun Artificial Intelligence Science and Technology Progress Award, the third prize of Qingdao Technology Invention Award.
Prof. Lu Leng
Nanchang Hangkong University, China
Biography: LU LENG received his Ph.D degree from Southwest Jiaotong University, Chengdu, P. R. China, in 2012. He performed his postdoctoral research at Yonsei University, Seoul, South Korea, and Nanjing University of Aeronautics and Astronautics, Nanjing, P. R. China. He was a visiting scholar at West Virginia University, USA, and Yonsei University, South Korea. Currently, he is a full professor, the dean of Institute of Computer Vision, and the office director of Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition at Nanchang Hangkong University.
Prof. Leng has published more than 100 international journal and conference papers, including about 70 SCI papers and three highly cited papers. He has been granted several scholarships and funding projects, including six projects supported by National Natural Science Foundation of China (NSFC). He serves as a reviewer of more than 100 international journals and conferences. His research interests include computer vision, biometric template protection and biometric recognition.
Prof. Leng is an outstanding representative of "Innovation Talent" of Jiangxi Enterprise in "Science and Technology China", received "Jiangxi Youth May Fourth Medal", "Jiangxi Hundred-Thousand-Ten-thousand Talent Project", "Jiangxi Voyage Project", etc.
Title: Fusion Technologies in Biometric Recognition
Abstract: Fusion in biometric recognition can have many benefits, including higher accuracy, improved availability, higher degree of freedom, less susceptible to spoof attacks, higher robustness. Fusion can be performed at image level, feature level, score level, decision level. This speech compares the advantages and disadvantages of fusions at different levels. In addition, this speech introduces some SOTA fusion technologies in hand biometrics, which can be flexibly extended and transplanted to other biometric modalities and tasks of computer vision, such as pattern recognition and image analysis.