KEYNOTE SPEAKERS | 主旨报告介绍
Prof. Yifei Chen, China Agriculture University, Beijing, China
Professor Yifei Chen was born in Beijing, China.
He received the B.S.E.E. degree from Dept. of Electrical Engineering of Beijing
Agricultural Mechanization College in 1984, and the M.Phil (S. of Mang.) degrees
in management engineering and applied science from Bei Hang University in 1991,
the M.S. degree in control theory and control engineering from Beijing
Agricultural Engineering University in 1994. Since graduation in 1984, he still
works as the researcher and teacher in collage of Electronic & Electrical Power
Eng. of Beijing Agricultural Engineering University which was renamed as China
Agriculture University later. After holding the position in the university, he
studied further in control theory class by IFCA in Tongji University at Shang
Hai from1995 to 1997, worked in Institute of Science and Technology Burlin as
visiting scholar during 1999, where he currently holds the academic positions in
research like intelligent control and agri-ROBOT. Since 1998, he is as associate
Professor and Professor with doctorial tutor at College of Information and
Electrical Engineering (CIEE)in China Agriculture University(CAU).
Title: Computer Science and Technology Discipline in CAU and Reseach Fields
Abstract: Computer Science and Technology
Discipline (CSTD) is almost existed in many Chinese technological universities.
Based on the design by Ministry of Education of P.R.China, CSTD has its clear
research directions as well as student education model in postgraduate stage.
Speech introduces CSTD setting and framework of China Agriculture University as
well as each research direction, and combining with agriculture engineering
application, one of discipline research director in CSTD: Date Science and
Intelligent System is presented in this speech, and showing two samples like
greenhouse colony control based on multi-objective optimization technology and
precise control technology for plant spray in greenhouse.
Tokyo University of Science, Japan
1. April 2007 - March 2011: A board member of the
directors of Japanese Society for Software Science.
Title: Machine Learning for Making Daily Farming Smart
Abstract: Recent daily farming has focused on a milking machine with real-time analysis of milk, leading to the understanding of internal part of individual cow health. In the outside part, advanced sensor technologies can be applied to monitoring cow’s activity and measuring her body condition score. These directions makes it easy to construct big data for cow feed management.
Prof. Yonglei Tao, Grand Valley State University, Allendale, USA
Prof. Yonglei Tao is a professor in the School of Computing and Information Systems at Grand Valley State University, Michigan, USA. He received his Ph.D. in Computer Science from the University of Iowa. His research interests includes tool support for usability evaluation, software design methods, and computer science education.
Title: Reusable Software Support for Adaptive User Interfaces
Abstract: Adaptive user interfaces are intended to support users in performing their tasks by adapting to their individual characteristics and context conditions. It is a fundamental shift from the traditional one-size-fits-all user interfaces. Adaptive user interfaces promise to facilitate user performance, make the interaction more efficient, improve ease of use, and assist the user in using complex applications. Successful design and development of adaptive user interfaces constitute one of the major research directions in the areas of human computer interaction and software engineering.
Prof. Heng Chen, Shanghai Information Center for Life Sciences/ Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
Professor Heng Chen, ever earned his PH.D in Shanghai Jiaotong University, China in Nov.2004, and pursued his postdoctoral study in University of Alberta, Canada from 2005 to 2007. He has been working in Shanghai Institutes for Biological Sciences as a director of database department, who is mainly responsible for the innovative research and development work such as construction of life science information and intelligence database, knowledge mining and extracting, knowledge organization and resource management and other aspects since July 2008. He was ever selected in the outstanding talent introduced plan in the Chinese Academy of Sciences literature and journal publishing field (subject field 100 program) in 2010, and was selected in Shanghai Pujiang talent program in 2009. Dr. Heng Chen is currently a member of the advisory Committee of the magazine Hepatitis Monthly (SCIE) and members of editor board of the International Journal of Biochemistry Research & Review, Journal of Biochemistry International, Current Research Journal of Biological Sciences and International Journal of Biochemistry and Molecular Biology. Hitherto，Dr. Heng Chen has published more than 40 scientific research papers in the capacity of the first author or the corresponding author. He has presided over 7 projects at the national, district and local level as project leaders since 2008. So far，he has applied for 4 invention patents, of which 1 has been authorized, and applied for 3 items of software copyright registration.
Title: Construction of the Protein Ontology of HBV and Its Application in Knowledge Navigation
Abstract: The technology of information integration and knowledge excavation facilitating the association and integration between different data information to a large extent plays an important role in construction of the innovative literature database. As a form of knowledge expression and organization, ontology introduced in information integration and knowledge excavation of the literature knowledge database can promote process of integration and excavation, improve the efficiency of knowledge organization and excavation, and facilitate readers’ understanding of the knowledge and information. Through authors’ planning and design, and systematically collecting and organizing the information and terms of HBV-related proteins, a small scale protein ontology of HBV was constructed in this study using Protégé (a software constructing an ontology), and initially used in construction of the hepatitis B subject literature database. With cooperation of the programming personnel, the integration design of the system of knowledge navigation and excavation was firstly done. Subsequently, knowledge navigation function based on the ontology of HBV protein was realized. Furthermore, the protein knowledge excavation was performed using the English-Chinese bilingual HBV protein control vocabulary (dictionary) as the mining tool in the navigated literatures of the database. Ultimately, the function of knowledge navigation and excavation was obtained in the HBV subject literature database. The applied results of the functions above indicated that the system of knowledge navigation and excavation based on the virus protein ontology could facilitate the process of literature retrieval, automatic classification of the literature and knowledge discovery and excavation, and improve efficiency for retrieval and acquisition of information and knowledge.