Keun Ho Ryu, Chungbuk National University, Korea

 

Keun Ho Ryu is a professor at Chungbuk National University in Korea and a leader of the group database and bioinformatics laboratory as well as a vice president of the Personalized Medicine Tumor Engineering Research Center. He received a BS degree from Soongsil University in 1976 and an MS and a Ph.D from Yonsei University, Korea, in 1980 and 1988 respectively. He worked not only at the University of Arizona as a post-doc and research scientist but also at ETRI (Electronics and Telecommunications Research Institute), Korea. He has served on numerous international journal reviewers and program committees including the IEEE International Conference on Advanced Information Networking and Applications (AINA), the Very Large Data Base (VLDB), and so on. He is a member of the IEEE and a member of the ACM since 1983. He has served on numerous program committees, including roles as the Demonstration Co-Chair for the VLDB, the Panel Co-Chair and the Tutorial Co-Chair for the APWeb, and the FITAT General Co-Chair. In 2008, he founded the FITAT International Group, to provide a professional community the opportunities, for publications, knowledge exchange, teaming, and cooperation. His research interests include temporal databases, spatiotemporal databases, stream data processing, knowledgebase information, security, data mining, bioinformatics, and biomedical informatics.

 

 

Yongde Guo, City University of Macau, Macau, China

 

Guo Yongde, Ph.D. in Information and Communication Engineering from Tsinghua University, serves as the Program Director of the Faculty of Data Science at City University of Macau, an Associate Professor, and a Doctoral Supervisor. He is also a specially appointed expert under the national talent program and the Director of the Joint Laboratory for Spatiotemporal Big Data and Artificial Intelligence at City University of Macau-Zhuhai Orbita. As a visiting scholar at the Department of Electrical Engineering and Computer Science at Oregon State University, USA, he studied under the esteemed Professor Thomas Dietterich and participated in applied projects related to environmental sustainability computing in Africa. His long-term research focuses on image processing, computer vision, pattern recognition, deep learning, environmental sustainability computing, and the spatial analysis and application of remote sensing data.
In recent years, he has published over 10 high-level academic papers and authored two monographs. He has led two research projects funded by the Macau Foundation, one horizontal project with enterprises, and has been a key research participant in one major project supported by the National Natural Science Foundation of China.
郭永德,清华大学信息与通信工程专业博士,澳门城市大学数据科学学院课程主任,副教授,博士生导师,国家级人才项目特聘专家,澳门城市大学-珠海欧比特时空大数据与人工智能联合实验室主任。美国俄勒冈州立大学电气工程与计算机系作访问学者,师从Thomas Dietterich荣誉教授,参与有关非洲环境可持续计算的应用项目。长期从事图像处理、计算机视觉、模式识别、深度学习、环境可持续计算和遥感数据空间分析与应用等方向研究。