2023 6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023)

AEMCSE 2023

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Prof.Guandong Xu, University of Technology Sydney, Australia (IET FELLOW、ACS fellow)

徐贯东教授,澳大利亚悉尼科技大学

Biography: Dr Guandong Xu is a Professor in the School of Computer Science and Data Science Institute at UTS and an award-winning researcher working in the fields of data mining, machine learning, social computing and other associated fields. Guandong is the Director of the UTS-Providence Smart Future Research Centre, which targets research and innovation in disruptive technology to drive sustainability. His research has attracted funding of more than $8 million from the ARC, government and industry. He also heads the Data Science and Machine Intelligence Lab, which is dedicated to research excellence and industry innovation across academia and industry, aligning with the UTS research priority areas in data science and artificial intelligence. Guandong has had more than 240 papers published in the fields of Data Science and Data Analytics, Recommender Systems, Text Mining, Predictive Analytics, User Behaviour Modelling, and Social Computing in international journals and conference proceedings in recent years, with increasing citations from academia. He has won numerous awards, including the Digital Disruptors Winner for ICT Research Project of the Year, Australian Computer Society (2021), the eBay's Leaders' Choice Award (2021); the CIKM'2021 Conference Best Research Paper Finalist; Global Efma-Accenture Insurance Innovation Award in Workforce Transformation (2020); the Digital Disruptors Winner for Skills Transformation of Small Work Teams, Australian Computer Society (2019), and the Digital Disruptors Gold Award of Service Transformation for the Digital Consumer – Corporate by Australian Computer Society (2019); the Top 10 Analytics Leaders by Australian Analytics Professional Peak Body (2018); the Australasian Database Conference Best Student Paper Award (2018); Marketing Excellence Award in Customer Research, NSW (2017), and; the Big Insights Data Innovation Award in Customer Insights (2016). He has shown strong academic leadership in various professional activities. He is the founding Editor-in-Chief of Human-centric Intelligent Systems Journal, the Assistant Editor-in-Chief of World Wide Web Journal, as well as the founding Steering Committee Chair of the International Conference of Behavioural and Social Computing Conference. Guandong has an MSc and a BSc in Computer Science and Engineering, and a PhD in Computer Science. After holding various research positions at European and Australian universities, he joined UTS in 2012. He was elected as the Fellow of Institution of Engineering and Technology (IET), UK and the Fellow of Australian Computer Society (ACS) in 2021 and 2022.


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Qingliang Chen,Jinan University,China

陈清亮教授,暨南大学

Biography: Qingliang Chen received the Ph.D. degree in computer science from Sun Yat-Sen University, China. He is currently a professor with Department of Computer Science, Jinan University and an adjunct professor with Institute for Integrated and Intelligent Systems (IIIS), Griffith University. He was a Postdoctoral Fellow with Peking University, from 2010 to 2012. His research interests are machine learning and pattern recognition, and he has published more than 30 articles in peer-reviewed international journals and conferences such as AAAI, IJCAI and ECCV, and has served as the principal investigator for three research grants from National Natural Science Foundation of China.