At 20:00 on January 13, 2022, the second phase of the online science and technology public welfare live lecture hosted by the Chinese Association for Artificial Intelligence and undertaekn by the CAAI Artificial Intelligence Fundamental Special Committee, will invite Academician Pan Yi, Dean of the School of Computer Science and Control Engineering of the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Chair Professor, Academician of the American Academy of Medical and Biological Engineering, Academician of the Royal Academy of Public Health, Foreign Academician of the National Academy of Engineering of Ukraine, and Yangtze River Scholar to share the “Application of Artificial Intelligence in Biomedical Engineering” for us.

Although artificial intelligence and big data have begun to be applied to multiple stages of human life research and health management, there are many challenges that need to be overcome if we want to further tap their potential value. In meeting the challenges, the third generation of AI systems will leverage their technical advantages to make breakthroughs in key technologies such as knowledge embedding, multimodal data fusion, and result interpretation. Academician Pan Yi will talk about the application of artificial intelligence in the field of biomedical engineering in the report, especially the impact of computing power on the application of artificial intelligence.

Chinese Association for Artificial Intelligenc   

Science and Technology Public Lecture

The application of artificial intelligence in biomedical engineering

Live broadcast time: Thursday 01/13 at 20:00

Professor Pan Yi

Dean and Chair Professor of the School of Computer Science and Control Engineering of the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences

Academician of the American Academy of Medical and Biological Engineering, Academician of the Royal Academy of Public Health, Foreign Academician of the National Academy of Engineering of Ukraine, Yangtze River Scholar

Main research areas: Using cloud computing, big data analysis, artificial intelligence, deep learning, etc. as tools to conduct research on biological information and medical information

He has published more than 250 academic papers in SCI journals, of which more than 100 have been published in top academic journals such as IEEE/ACM Transactions/Journals

He has published more than 150 academic papers at international academic conferences

He has published more than 40 monographs

Lecture Content Preview:  

1 Biomedical research has entered the era of big data 

2 Artificial intelligence helps biomedical big data research 

3 Third generation AI system 

4 Knowledge embedding 

5 Multimodal data fusion 

6 Result interpretation and drug manufacturing  

7 Discovery of entity associations  

8 Summary

Introduction of the lecturer

Academician Pan Yi was admitted to the Department of Computer Science and Engineering of Tsinghua University as the number one in the college entrance examination in Jiangsu Province major in science, and received a bachelor’s degree and a master’s degree in engineering from Tsinghua University in 1982 and 1984, and a doctorate in computer science from the University of Pittsburgh in 1991. He is currently the Dean and Chair Professor of the School of Computer Science and Control Engineering at Shenzhen Institution of Science and Technology, Chinese Academy of Sciences, and is a tenured state trustee emeritus professor at Georgia State University. He was the Chair of the Department of Computer Science, the Head of the Department of Biology, the Vice Dean of the College of Arts and Sciences, the State Trustee Professor, the Distinguished Professor at the University Level, and a Visiting Chair Professor or Visiting Professor at Tsinghua University, Peking University, Zhejiang University and other universities. Academician Pan Yi is an academician of the American Academy of Medical and Biological Engineering, an academician of the Royal School of Public Health, an academician of the Ukrainian Academy of Engineering, a fellow of the British Society of Engineering and Technology, a fellow of the Japan Association for the Promotion of Science and Technology, and a Yangtze River Scholar Chair Professor.

This article is contributed by CAAI Artificial Intelligence Fundamental Special Committee