It is our pleasure to extend a warm welcome to all delegates to participate in 2023 IEEE 6th International Conference on Electronics Technology (ICET) which is yearly held at Chengdu, China. It is organized by Sichuan Institute of Electronics, sponsored by IEEE, also with the support of University of Electronic Science and Technology of China, Sichuan University, Southwest Jiaotong University and Singapore Institute of Electronics.  IEEE ICET 2023 will be from May 12th to 15th (Friday to Monday).

The primary aim of ICET conference is to offer senior and young scientists from academic communities and electronic industries from all over the world the opportunity to exchange research ideas and share new knowledge, development and experiences on topics related to their experimental and theoretical work in the very wide-spread field of electronics and micro/nanoelectronics technology and electronic packaging in a convenient and multicultural atmosphere. The other key aim of ICET is to provide postgraduate students with the opportunity to present their research findings in front of experts from both academia and industry for scholarly feedback. It also provides university academics and industry the opportunity to interact with the technical community, to share experiences and gain the benefit from the latest developments in technology presented at the conference. We sincerely hope that all delegates can have rich, useful, and effective deliberations that can lead to international cooperation.

You are invited to participate in this great event for sharing ideas, friendship and culture in the long history and hospitality city-Chengdu. 

Track 1: Antennas and Microwaves 微波天线
Track 2: Electronics Materials and Devices 电子材料与器件
Track 3: Communication and Networks 通信和网络
Track 4: Power and Electrical Engineering 电力与电气工程
Track 5: Aerospace & Electronics Systems 航空和电子系统
Track 6: Electronics Applications 电子应用
Track 7: Internet of Things 物联网
Track 8: Embedded System 嵌入式系统
Track 9: AI and Applications 人工智能与应用
Track 10: Control and Robotics 控制与机器人
Track 11: Signal Processing 信号处理