Speakers | 报告专家

Speakers of PRIS 2024

Keynote Speaker I

Prof. Ruxu Du
Fellow of Canadian Academy of Engineering
The Zhongke Jianchi Biotechnology Co., Ltd, China

Keynoye Lecture: ChatGPT and precision Dentistry

Abstract: TBD

Biography: Prof. Ruxu Du was born in China in 1955. He received his Master’s degree from the South China University of Technology in 1983 and his Ph.D. degree from the University of Michigan in 1989. He has taught in the University of Windsor, in Windsor, Ontario, Canada (1991⎯1999), the University of Miami, in Coral Gables, Florida. USA (1999⎯2001), the Chinese University of Hong Kong in Hong Kong SAR (2001⎯2018), and the South China University of Technology (2018⎯2021). Prof. Du is the founding director of the Guangzhou Chinese Academy of Sciences Institute of Advanced Technology (2011⎯2016), the founding dean of S. M. Wu School of Intelligent Engineering, South China University of Technology, as well as the founding director of the Institute of Precision Engineering in the Chinese University of Hong Kong.

Porf. Du’s areas of research include AI applications in medicine, precision engineering, design and manufacturing (metal forming, machining, plastic injection molding and etc.), as well as robotics and automation. He has published over 500 papers in various academic journals and international conferences. He is the associate editor / the members of editorial board of six international journals. <Learn More>

Keynote Speaker II

Prof. Hujun Yin
Senior member of the IEEE
The University of Manchester, UK

Keynoye Lecture: TBD

Abstract: TBD

Biography: Hujun Yin received the BEng degree in Electronic Engineering and the MSc degree in Signal Processing, both from Southeast University, and the PhD degree in Neural Networks from University of York. He joined the University of Manchester (UMIST before the merge) in 1996 as a Post-doc Research Associate, was appointed a Lecturer in 1998 and subsequently promoted to Senior Lecturer, Reader and Professor. He has also been the Head of Business Engagement in AI and Data for the Faculty of Science and Engineering since 2019.

His main research interests include AI, machine learning, deep learning, image recognition, and data analytics. Recent projects focus on developing deep learning based vision systems for recycling industries, advanced machine learning for multispectral image analysis for early detection of plant viral infection, and data-driven sorrogate models in engineering designs. He is a Turing Fellow of the ATI (the Alan Turing Institue), a senior member of the IEEE, and a member of the EPSRC Peer Review College. He has been the Vice Chair of the IEEE CIS UK Ireland Chapter since 2019. He leads a team of 12 researchers working in a wide range of vision and machine learning challenges with strong emphasis on real-world medical, sustainable and industrial applications. <personal webpage>




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