Keynote Speaker

 Prof. Liangquan Ge
 Ph.D. advisor, and the Chair of the College of Nuclear Technology and Automation Engineering at Chengdu University of Technology

Prof. Xiaonan Xiao
Ph.D. advisor, and the chair of Department of Information and Computational Science at Xiamen University Tan Kah Kee College
Biography: He has been awarded The Distinguished Teacher of Higher Education in Fujian Province. His expertise mainly focuses on the studies of complex systems modeling and optimal control. He has published 108 articles at important journals and 20 academic works and textbooks. He was awarded numerous nationwide and international prizes in research and teaching , including 66 research projects that have won the national , provincial, and college awards ( 30 first prizes , 13 second prizes, 10 third prizes, 13 Awards of Excellence)
Title: Computational Intelligence for Big Data Analysis——New Expansions and Breakthroughs of the 21st Century AI Computing Life Science
Abstract:In recent years, big data analysis has become one of the most challenging frontier emerging technologies in current and future research. The combination of big data and intelligent computing is the solution to the big data service and application problems in many fields nowadays. Therefore, this keynote speech focuses on the theoretical basis and framework of big data analysis, the relationship between big data analysis and cloud computing, the relationship between big data and intelligent computing, and their latest research progress. This speech also describes the many applications of big data analysis, especially in the Intelligent Transportation, future life sciences and medical fields. As we all know, big data and intelligent computing have been widely used in information science, life science, computer science and intelligent control, intelligent robots, vehicle networking, space technology, marine development and other fields, especially in the future life science and medical field. Therefore, this speech introduces a new extension of big data and intelligent computing in modern life sciences, which has the most potential and widest application in the future. The results of the discussion show that the intersection and fusion research of big data analysis, mathematics, computational science and life science in the 21st century is getting more tightly. We can understand life science from a new perspective by using Big data and Intelligent Computing technology. Thus a new research model is being used to shift the application of mathematics from non-life to life. Furthermore, it greatly strengthens the mutual penetration and connection of big data analysis, mathematics, computational science and life science. It also greatly accelerates the research process of modern life science.

 Prof. Yanling Zhou
 Hamburg University of Applied Sciences, Germany/Hefei University, Germany
Biography: Associate professor, Ph.D., teacher of the School of Artificial Intelligence and Big Data, Hefei University. Professional knowledge mainly focuses on the research of Internet of Things and big data processing. She has published more than 40 relevant professional papers, and instructed students to win more than 50 national, provincial and school awards in the national IoT competition, the Blue Bridge Cup competition and the Anhui IoT competition. In 2016, he worked as a visiting scholar in American universities and in 2019 as a visiting scholar in German universities.
Title: Big data and intelligent transportation- Sustainable Development of Transportation
Abstract: Intelligent Transportation System (Intelligent Transportation System, ITS for short) is the future development direction of transportation system. It is a comprehensive use of modern traffic technology, information technology and computer technology, navigation and positioning technology, image analysis technology, etc. The combination of vehicles, vehicles, roads, and the environment is its intelligent role, which makes the transportation system intelligent, and better achieves the purposes of safety, smoothness, low pollution and low energy consumption. Big data is the core of intelligent transportation, but the focus of big data is not on "big", but on its value. Value content and mining cost are more important than quantity, so the latter is the real concern. The application of big data in intelligent transportation has two main aspects: data collection and data analysis. By analyzing traffic big data, we can maintain traffic safety and promote personalized traffic information services. The problem of intelligent transportation is very complicated. The emergence of big data is not only a change and a foundation for urban transportation, but also a challenging stage.

 Associate Professor. Mahmoud Moh’d Mahmoud Al Shawabkeh
 WMG, Warwick University, UK/Guangxi Normal University for Nationalities, China
Biography:Dr. Alshawabkeh, a Jordanian researcher in the field of computer network security and information systems. Obtained first degree (Bachelor of computer science & information systems) from Philadelphia University, Jordan and obtained a second degree (Master of computer science) from university science Malaysia, furthermore, obtained the second master of cybersecurity and management from WMG, Warwick University, UK. Dr. Alshawabkeh (Ph.D. of Science and Technology) obtained from USIM, Malaysia. Now working as an associate professor at Guangxi Normal University for Nationalities, China. Before that Dr. Alshawabkeh was an academic staff and researcher since 1999.
Title: Computer network security current issues and implementations
Abstract: The field of computer network security is highly associated with improving organization’s performance. The field is designed to integrate information technology security professionals with the real time implementation of computer network monitoring and IT security planning. It comprehensively corporate security policy, network software and hardware needed to protect a network and the resources accessed through the network from unauthorized access and ensure that employees have adequate access to the network and resources to work. This keynote speak identifies different issues arising during an organization’s network security planning and how to avoid and eliminate them furthermore to increase the overall security of the computer network..