学术报告：Computational intelligence meets vehicular edge computing

题目：Computational intelligence meets vehicular edge computing

主讲人：策力木格（日本电子通信大学副教授）

日期：2020年1月3日（星期五）

时间：上午11:20 - 12:00

地点：中山大学东校区南实验楼D203

主持：郑子彬教授

摘要：With the emergence of various vehicular Internet of Things (IoT) applications, such as driving behavior analysis, real time traffic information update, and autonomous driving, a new communication architecture that can achieve ultra-low delay and high throughput is crucially required. Multi-access edge computing (MEC) is a technology that can provide a short latency to end users while utilizing different types of wireless resources. However, conducting efficient MEC in vehicular environment is challenging due to the dynamic topology of the vehicular networks, and limited communication and computing resources. Computational intelligence (CI) covers a broad range of nature-inspired, multidisciplinary and computational methodologies, such as fuzzy logic, artificial neural networks, evolutionary computing, learning theory, and probabilistic methods. CI technologies are expected to provide efficient and powerful tools that scale well with network dynamics. This talk will focus on the applications of CI in vehicular edge computing in order to facilitate emerging vehicular IoT applications.

个人介绍：Celimuge Wu is an associate professor of The University of Electro-Communications. His current research interests include vehicular networks, mobile edge computing, and computational intelligence. He is/has been a TPC Co-Chair of Wireless Days 2020, Wireless Days 2019, ICT-DM 2019, and ICT-DM 2018. He is/has been a track Co-Chair of many international conferences including IEEE VTC-Spring 2020, ICCCN 2019, IEEE ISC2 2017, IEEE PIMRC 2016, etc. He is/has been serving as an associate editor of IEEE Access, IEICE Transactions on Communications, International Journal of Distributed Sensor Networks, MDPI Sensors, and a guest editor of IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Computational Intelligence Magazine, ACM/Springer MONET etc. He is the chair of IEEE TCBD Special Interest Group on Big Data with Computational Intelligence, and a senior member of IEEE.