Contributions by role
Contributions by subject area
Kaize Shi
Summary
Kaize Shi received his PhDs in computer science and technology from the Beijing Institute of Technology, Beijing, China in 2022; in computer systems from the University of Technology Sydney (UTS), NSW, Australia in 2023. Now he is a Research Fellow at UTS.
His research interests include opinion mining in social media, emergency management, meteorological knowledge service, and artificial intelligence.
He serves as an editor for WCMC and PeerJ Computer Science, a guest editor for IJDSN and WCMC, and a reviewer for IEEE TITS, IEEE TCSS, IEEE IoTJ, etc. He also serves as a program committee member of SIGKDD, ACL, etc. He is a member of the IEEE SMC Society and the Artificial Intelligence Technical Committee of the China Meteorological Service Association.
Artificial Intelligence Computer Education Data Mining & Machine Learning Data Science Digital Libraries Distributed & Parallel Computing Emerging Technologies Natural Language & Speech Natural Resource Management Network Science & Online Social Networks Neural Networks Sentiment Analysis Social Computing Text Mining