2023 2nd International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2023)
Speakers
Prof. Jianguo Ma
IEEE Fellow
Zhejiang Lab, China
Bio: 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.
Professor Geoff Webb
ACM/IEEE Fellow
Monash University
Bio: Geoff Webb is Research Director of the Monash University Data Futures Institute. He is a leading data scientist and the only Australian to have been Program Committee Chair of the two leading Data Mining conferences, ACM SIGKDD and IEEE ICDM. He was elevated to IEEE Fellow in 2015 and his numerous awards include the inaugural Eureka Prize for Excellence in Data Science (2017).
He was editor in chief of Data Mining and Knowledge Discovery from 2005 to 2014. He is a Technical Advisor to BigML Inc, who have incorporated his best of class association discovery software, Magnum Opus, as a core component of their cloud-based Machine Learning service. He developed many of the key mechanisms of support-confidence association discovery in the 1980s. His OPUS search algorithm remains the state-of-the-art in rule search. He pioneered multiple research areas as diverse as black-box user modelling, interactive data analytics and statistically-sound pattern discovery. He has developed many useful machine learning algorithms that are widely deployed.