CISAT 2024 has been successfully held on July 12-14, 2024 in Hangzhou, China
2024 7th International Conference on Computer Information Science and Application Technology has been successfully held on July 12-14, 2024 in Hangzhou, China.
CISAT 2024 is to provide a platform for academics and industrial experts in the field of computer information science and application technology to convene and exchange innovative ideas. The conference aims to facilitate research and development activities in this area, as well as promote scientific information interchange among global researchers, developers, engineers, students, and practitioners. With an annual recurrence, CISAT 2024 strives to serve as an ideal forum for individuals to share their perspectives and experiences related to computer information science and application technology.
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CISAT 2024 had invited 7 respectable professors to deliver an unusual keynote speeches at the plenary meeting, and also invited 9 oral speakers to make oral presentations.
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Professor Guangjie Han Hohai University, China Title: Multi-Dimensional Dynamic Trust Management Mechanism in Underwater Acoustic Sensor Networks |
Professor Zhaolong Ning Chongqing University of Posts and Telecommunications, China Title: Research on User Association and Trajectory Optimization for IRS-Assisted UAV Communications |
Professor Wei Dong Zhejiang University, China Title: LLM-empowered IoT: Technology and Vision |
Professor Yanquan Liu Southern Connecticut State University, USA Title: Artificial Intelligence and Smart Knowledge Technologies, A focus on recommender systems for library serves |
Senior Engineer Shiling Zhang State Grid Chongqing Electric Power Company Chongqing Electric Power Research Institute, China Title: Research on digital twin model of outgoing-line device area of UHV converter transformer based on computer-aided 3D configuration and electro-thermal sensing technology |
Assistant Professor Fiseha B. Tesema University of Nottingham Ningbo China, China Title: Addressee Detection in Mixed Human–Human and Human–Robot Settings Using Facial and Audio Features: A Deep Learning Framework |
Professor Richard Everson University of Exeter, UK Title: Project Bluebird: AI for Air Traffic Control | |
| Oral Presentations |
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