Kun Qian
                                          Assistant Professor, Computer Science
                                      
                 
                  About
Kun Qian is an Assistant Professor in the Department of Computer Science at the University of Virginia. He is also a member of the Link Lab. Before joining UVA, he was a postdoctoral researcher at the University of California San Diego. He received his Ph.D. and B.E. from Tsinghua University in 2019 and 2014. His research interests are around ambient intelligence empowered by wireless technologies. He builds wireless models, algorithms, and systems utilizing ubiquitous wireless modality, with applications across a broad spectrum of physical-aware scenarios, including next-generation communication, intelligent IoT sensing, autonomous driving, and mobile computing.
Education
Ph.D. Tsinghua University, 2019
B.S. Tsinghua University, 2014
Research Interests
              
Wireless Networking
                          
                      
              
Smart Sensing and Intelligent Systems
                          
                      
              
Mobile Computing
                          
                      
              
Cyber Physical Systems
                          
                  Selected Publications
                
"UniScatter: a Metamaterial Backscatter Tag for Wideband Joint Communication and Radar Sensing." Proceedings of the 29th Annual International Conference on Mobile Computing and Networking (MobiCom). 2023.
                                      
Kun Qian, Lulu Yao, Kai Zheng, Xinyu Zhang, Tse Nga Ng
                                  
              
                              
	
		      
			        
          	
                          
                
"MilliMirror: 3D printed reflecting surface for millimeter-wave coverage expansion." Proceedings of the 28th Annual International Conference on Mobile Computing And Networking (MobiCom). 2022.
                                      
Kun Qian, Lulu Yao, Xinyu Zhang, Tse Nga Ng
                                  
              
                              
	
		      
			        
          	
                          
                
"Robust multimodal vehicle detection in foggy weather using complementary lidar and radar signals." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2021.
                                      
Kun Qian, Shilin Zhu, Xinyu Zhang, Li Erran Li
                                  
              
                              
	
		      
			        
          	
                          Courses Taught
              
CS 6501 - Wireless Sensing for Internet of Things
                              
Fall 2024
                          
                      
              
CS 4501 - Wireless for the Internet of Things
                              
Spring 2025
                          
                  Awards
              
SenSys Best Paper Award
                              
2023
                          
                      
              
MobiCom Best Paper Award
                              
2020