Wireless Networking and Sensin g Lab (Wang Lab)
About / News / Research / Members / Contact
Wireless Networking and Sensin g Lab ( Wang Lab) in the Department of Computer and Information Sciences at Temple University focuses on research that advances the way that people, devices and applications interact in emerging wireless networking, smart sensing, mobile computing, and artificial intelligence. Wang Lab was established in the University of North Carolina at Charlotte (UNC Charlotte) in 2004. Previously, it was part of the Networking Research Lab and then became the Wireless Networking and Sensing (WiNS) Lab at UNC Charlotte. In 2019, the lab was moved to Temple University and renamed as Wang Lab. Its research has been continuously funded by National Science Foundation, Department of Transportation, Microsoft, and Oak Ridge Associated Universities.
Our research is broadly related to networking, sensing and computing.
Congratulations to Xinliang for publishing his research on data placement in IEEE TCC.
Welcome Jiyao and Xuezhang join our lab!
Congratulations to Xinliang for accepting a summer internship offer from the AT&T Labs Internship Program!
Congratulations to Wei and other co-authors! Our paper on stream-based online deep learning was accepted by IEEE TPDS.
Congratulations to Yue and Yadong and other co-authors! Two of our papers were accepted by IEEE TMC.
Congratulations to Yetong, Yadong and other co-authors! Three of our papers were accepted by IEEE INFOCOM 2021.
Our collaborative research project "AirEdge: Robust Airborne Wireless Edge Computing Network using Swarming UAVs" with Tao and Pu has been selected for funding by NSF.
Congratulations to Ting and other co-authors! Our paper was accepted by IEEE TNSE.
Congratulations to Huijie, Matt and other co-authors! Our paper was accepted by ACM IMWUT and Ubicomp 2020.
Research Areas: We have been actively conducting research in the following research areas:
Wireless Networks (ad hoc networks, wireless sensor networks, delay tolerant networks, mobile social networks, connected vehicles, AI-enabled networks),
Smart Sensing (mobile sensing, mobile crowd sensing, cyber-physical systems, smart cities and mobile health),
Mobile Computing (cloud computing, edge computing, mobile AI, AIoT, distributed algorithms),
Security and Privacy (mobile security, network security, privacy protection, AI security).
Recent Publications (more can be found at Google Scholar Profile, DBLP, Selected Publication):
Popularity-based Data Placement with Load Balancing in Edge Computing, IEEE Transactions on Cloud Computing, to appear
A Blockchain-based Decentralized Framework for Fair Data Processing, IEEE Transactions on Network Science and Engineering, to appear
HDSpeed: Hybrid Detection of Vehicle Speed via Acoustic Sensing on Smartphones, IEEE Trans. on Mobile Computing, to appear
HearSmoking: Smoking Detection in Driving Environment via Acoustic Sensing on Smartphones, IEEE Trans. on Mobile Computing, to appear
Joint Optimization of MapReduce Scheduling and Network Policy in Hierarchical Data Centers, IEEE Trans. on Cloud Computing, to appear
Data Life Aware Model Updating Strategy for Stream-based Online Deep Learning, IEEE Transactions on Parallel and Distributed Systems, Oct 2021
Real-Time Detection for Drowsy Driving via Acoustic Sensing on Smartphones, IEEE Trans. on Mobile Computing, Aug 2021
Three-stage Stackelberg Long-term Incentive Mechanism and Monetization for Mobile Crowdsensing: An Online Learning Approach, IEEE Transactions on Network Science and Engineering, April-June 2021
Delay-Aware Virtual Network Function Placement and Routing in Edge Clouds, IEEE Trans. on Mobile Computing, Feb 2021
Listen to Your Fingers: User Authentication based on Geometry Biometrics of Touch Gesture, Proceedings of ACM IMWUT, September 2020
Scalable Privacy-Preserving Participant Selection for Mobile Crowdsensing Systems: Participant Grouping and Secure Group Bidding, IEEE Trans. on Network Science and Engineering, April-June 2020
CanalScan: Tongue-Jaw Movement Recognition via Ear Canal Deformation Sensing, Proc. of IEEE INFOCOM, 2021
HearFit: Fitness Monitoring on Smart Speakers via Active Acoustic Sensing, Proc. of IEEE INFOCOM, 2021
AWash: Handwashing Assistance for the Elderly with Dementia via Wearables, Proc. of IEEE INFOCOM, 2021
PPGPass: Nonintrusive and Secure Mobile Two-Factor Authentication via Wearables, Proc. of IEEE INFOCOM, 2020
SignSpeaker: A Real-time, High-Precision SmartWatch-based Sign Language Translator, Proc. of ACM MobiCom, 2019
Graduated PhD Students:
Cheng Bo, now at Google.
Siyuan Chen, now at IBM.
Minsu Huang, now at Microsoft.
Fan Li, now Full Professor at Beijing Institute of Technology.
Hanshang Li, now at Amazon.
Ting Li, now Assistant Professor at Oxford College of Emory University. Ying Zhu, now at Google.
Graduated MS Students:
Teja Kanchinadam (co-advised with Dr. Jamie Payton)
Graduated BS Students:
Sergey Begun (Senior Project)
Matthew Coon (REU)
Layla R. Lajami (Senior Project)
Qinghua Lu (Senior Project)
Yong Sun (Senior Project)
Will Tune (REU)