Wenye Wang received her Ph.D. degree from Electrical and Computer Engineering, Georgia Institute of Technology, with Dr. Ian F. Akyildiz in Atlanta, Georiga. Her Ph.D. thesis is on location management in heterogeneous wireless networks. In Fall 2002, she joined the Department of Electrical and Computer Engineering, NC State University, as an assistant professor and has been an associate professor since Fall 2008, and a full professor since Fall 2014. Her current research interests include modeling and performance evaluation of integrated sensing and communications/networking, cyber-physical systems or Internet of Things (IoT) prototype, and AI-native design of mobile and wireless networks. Dr. Wang received NSF CAREER Award in 2006. She is an ACM member and an IEEE Fellow.
About NETWIS
The Networking of Wireless Information Systems, NetWIS, laboratory led by Dr. Wenye Wang, is focused broadly on in-depth understanding, algorithm and protocol design in mobile wireless networks. Our vision is that by developing new models, measuring experimental results, and understanding basic properties of wireless networks in different circumstances, it is possible to design algorithms, protocols, and architectures that enable a wireless network to have robust architecture and topology and high performance for diversified applications and large-scale distributed, intelligent systems.
Latest Publications
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PATHS: Plug-and-Play Tracking from Heterogeneous Streams to a Shared Token Interface
Mengning Li and Wenye Wang, Accepted to ACM MobiCom 2026
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UNI-FI: Integrated Multi-Task Wi-Fi Sensing
Mengning Li and Wenye Wang, IEEE INFOCOM 2026 - IEEE Conference on Computer Communications, Tokyo, Japan, 2026, pp. 1-10 Best Paper Award
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DuTrack: Long-Term Indoor Human Tracking with Dual-Channel Sensing and Inference
Mengning Li and Wenye Wang, IEEE INFOCOM 2026 - IEEE Conference on Computer Communications (Accepted)
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Synergizing Acoustic and Wi-Fi Signals for Device-Free Gesture Recognition
Mengning Li and Wenye Wang, in IEEE Transactions on Mobile Computing, vol. 24, no. 9, pp. 8167-8179, Sept. 2025
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mSAC: Enhancing Localization with mmWave Sensing and Orthogonal Signals
M. Li, H. Zhu, W. Wang and E. Ekici, IEEE INFOCOM 2025 - IEEE Conference on Computer Communications, London, United Kingdom, 2025, pp. 1-10
