Special Session: Sensors and Integrated Circuits
This session delves into the fascinating world of sensors and integrated circuits (ICs), the fundamental components driving innovation across diverse fields like the Internet of Things (IoT), wearable electronics, autonomous systems, and beyond. in sensor technologies, IC design, and their seamless integration.
Related topics:
Important Dates:
Submission Deadline: April 05, 2025
Notification: May 05, 2025
Registration: May 20, 2025
Submit Method:
1, submit it via the link: http://confsys.iconf.org/submission/icicsp2025 (after entering the link, click on the corresponding topic)
2, send your manuscript to icicsp@vip.163.com with subject "Submit+Special Session-9+Paper Title". (请通过邮件发送稿件,邮件题目:Submit+Special Session-9+Paper Title)
CHAIRMANS:
Dr. Min Xue, Chang’an University, China
Min Xue is a lecturer at the School of Data Science and Artificial Intelligence at Chang’an University, Xi’an, China. She received her Ph.D. degree in Signal and Information Processing (2024), M.S. degree in Mechatronic Engineering (2017), and B.S. degree in Mechanical Design, Manufacturing, and Automation (2014), all from Xidian University. Her research interests include high-resolution target detection, sparse signal processing, high-resolution forward-looking imaging, and integrated sensing and communication for environmental perception.Dr. Yu Jin, Associate Professor, Beijing University of Chemical Technology, China
Yu Jin is currently an Associate Professor at the College of Information Science and Technology, Beijing University of Chemical Technology. She is also a key member of the university's top scientific and technological innovation team. Her research focuses on low-power ASIC design, high-temperature IC design, and MEMS-ASIC co-design, with additional expertise in high-level synthesis and MEMS readout circuits. Dr. JIN earned her Ph.D. and M.S. degrees from the Graduate School of Information, Production, and Systems at Waseda University in Tokyo, Japan, in 2014 and 2010, respectively.Huakang Li, Associate Professor, Xi'an Jiaotong-Liverpool University (XJTLU), China
Huakang Li is currently an Associate Professor at the School of Artificial Intelligence and Advanced Computing, XJTLU Entrepreneur College (Taicang). He received his Ph.D. in Computer Science from the University of Aizu, Japan, in 2011. From 2011 to 2013, he served as a Postdoctoral Research Fellow at Shanghai Jiaotong University, during which he contributed to the National 863 Program as a Visiting Researcher at Ali Cloud Computing Ltd. Prior to his current position, he was a Lecturer at Nanjing University of Posts and Telecommunications from 2013 to 2020. His research focuses on artificial intelligence and big data mining, with specialization in natural language processing, social computing, knowledge graph construction, large language model optimization, and their industrial applications.
Qieshi Zhang, Associate Professor, Shenzhen Institutes of Advanced Technology (SIAT), China
Qieshi Zhang is currently an Associate Professor at the Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences, China, affiliated with the Guangdong Provincial Key Laboratory of Robotics and Intelligent System. He received his Ph.D. degree from Waseda University, Japan, in 2014. From 2010 to 2012, he served as a Research Fellow of the Japan Society for the Promotion of Science (JSPS). He has authored/ co-authored over 130 peer-reviewed papers in international journals and conferences. His research focuses on artificial intelligence, autonomous systems, robotic perception, computer vision, and machine learning.
Prof. Jing Ji, Xidian University, China
Jing Ji is currently a full professor in the Research Center for Applied Mechanics, Xidian University. He received his B.Sc. degree in Microelectronic Engineering from Nankai University, China, and his MS and Ph.D. degrees from Waseda University, Japan. He is a senior member of Chinese Society of Micro Nano Technology (CSMNT), member of Youth Editorial Board of the Journal of Chinese Inertial Technology. He received award from the IEEE Instrumentation & Measurement Society in 2022. His research area includes: MEMS devices, and sensing technology.