講座名稱(chēng)：Internet of Vehicles with Collaborative Intelligence

講座人：Celimuge Wu 教授

講座時(shí)間：4月9日10:00

講座地點(diǎn)：騰訊會(huì)議直播（ID:969 730 857）

講座人介紹：

Celimuge Wu于2010年在日本電氣通信大學(xué)獲得博士學(xué)位。他目前是電氣通信大學(xué)信息工程研究生院的副教授。他目前的研究興趣包括車(chē)載網(wǎng)絡(luò)、物聯(lián)網(wǎng)、大數(shù)據(jù)和移動(dòng)邊緣計(jì)算。他是IEEE Transactions on Network Science and Engineering, IEEE Transactions on Green Communications and Networking, IEEE Open Journal of the Computer Society, China Communications, Wireless Networks, and IEICE Transactions on Communications的副主編。他曾IEEE Transaction on Intelligent Transportation Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Computational Intelligence Magazine, ACM/Springer MONET等的客座編輯，并擔(dān)任IEEE TCBD SIG on Big Data with Computational Intelligence and IEEE TCGCC SIG on Green Internet of Vehicles的主席。他獲得IEEE計(jì)算機(jī)學(xué)會(huì)2019年Best Paper Award Runner-Up。

講座內(nèi)容：

Future Internet of Vehicles (IoV) systems feature a large number of devices and multi-access environments where different types of communication, computing, and storage resources must be efficiently utilized. It is therefore important to empower future IoV systems with advanced features, such as real-time reactive and proactive cooperation and coordination among different agents (or decision makers), including vehicles, roadside units, base stations, pedestrians, and other entities. Recently, artificial intelligence (AI) based approaches have been attracting great interest in empowering computer systems. In IoV systems, collaborative intelligence can be achieved via an efficient collaboration among heterogeneous entities, including vehicles, edges, and cloud. This talk will focus on the technical challenges and the synergistic effect of collaboration among heterogeneous entities with AI in enabling intelligent perception of environment, intelligent networking, and intelligent processing of big data in IoV systems.

主辦單位：通信工程學(xué)院