The rapid advancement of wireless sensing technologies and cognitive intelligence is transforming the way environments are perceived, interpreted, and interacted with. By integrating cutting-edge wireless sensing methods with cognitive intelligence, unprecedented levels of adaptability, efficiency, and precision can be achieved across a wide range of applications. These innovations enable the seamless fusion of sensing capabilities with artificial intelligence (AI), facilitating real-time decision-making and automation in domains such as healthcare, autonomous systems, environmental monitoring, and smart infrastructure.
Submissions are invited that highlight theoretical advancements, practical implementations, and applications of cognitive intelligence in wireless sensing. Topics of interest include, but are not limited to:
- Cognitive Intelligence-empowered wireless active sensing, location, imaging and recognition
- Cognitive Intelligence-empowered joint communication and sensing
- Cognitive power control and spectrum management techniques
- Cognitive waveform design and processing techniques
- Cognitive signal and data fusion techniques
- Wireless Sensing applications in healthcare, transportation, environmental monitoring, and beyond
Chair: Prof. Guolong Cui, University of Electronic Science and Technology of China, China
Guolong Cui received the B.S. degree in electronic information engineering and the M.S. and Ph.D. degrees in signal and information processing from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2005, 2008, and 2012, respectively.,From January 2011 to April 2011, he was a Visiting Researcher with the University of Naples Federico II, Naples, Italy. From June 2012 to August 2013, he was a Postdoctoral Researcher with the Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA. From September 2013 to July 2018, he was an Associate Professor with UESTC, where he has been a Professor since August 2018. His current research interests include cognitive radar, array signal processing, MIMO radar, and through-the-wall radar.
Co-chair: Assoc. Prof. Xianxiang Yu, University of Electronic Science and Technology of China, China
Xianxiang Yu received the B.S. and Ph.D. degrees from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2014 and 2020, respectively. From 2018 to 2019, he was a Visiting Researcher with Pennsylvania State University, State College, PA, USA. From 2020 to 2022, he was a Postdoctoral Researcher with UESTC. He is currently an Associate Professor with UESTC. His research interests include multiple input multiple output (MIMO) radar, array signal processing, and waveform optimization. He was a recipient of the Excellent Doctoral Dissertation Nomination Award from the China Education Society of Electronics (CESE) in 2020.
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