Wei Gao

I am an Associate Professor in the Department of Electrical and Computer Engineering at University of Pittsburgh. I am also an affiliated faculty member of the McGowan Institute of Regenerative Medicine at University of Pittsburgh. I received my Ph.D. in Computer Science from the Pennsylvania State University in 2012, and my bachelor degree from University of Science and Technology of China in 2005. I am a NSF CAREER Award recipient in 2016.

My research focuses on the design, analysis, measurement and implementation of mobile, embedded and networked systems, as well as these systems' applications in Internet of Things and Smart Health. I have strong interests in unveiling analytical principles underneath practical problems, designing systems based on these principles, and implementing and deploying these systems in practice. My research areas mainly include the following:

Note: I am currently looking for strong and self-motivated students with an interest in the above areas. If you are interested in my research and working with me, please send me email with your CV and transcripts. You can find more details about my research here, and a list of my recent publications here.

Contact Information

1205 Benedum Hall
3700 O'Hara Street
Pittsburgh, PA 15261
Email: weigao (at) pitt (dot) edu
Phone: (412) 383-4422


January 2022: Our paper, RAScatter: Achieving Energy-Efficient Backscatter Readers via AI-Assisted Power Adaptation, has been accepted for publication at the 2022 ACM/IEEE Conference on Internet of Things Design and Implementation (IoTDI).

January 2022: Our paper, FaceListener: Recognizing Human Facial Expressions via Acoustic Sensing on Commodity Smartphones, has been accepted for publication at the 2022 ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).

November 2021: Our paper, Eavesdropping User Credentials via GPU Side Channels on Smartphones, has been accepted for publication at the 2022 ACM Int'l Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS). This is one of the few works that demonstrate critical security vulnerabilities of GPUs on mobile platforms, and has been incorporated by Google in its future Android security updates. Check our demo video here!

September 2021: I will be serving as the Demo Co-chair of IPSN 2022, part of the CPS-IoT Week 2022 being held in Milan, Italy, May 2022. Please consider submitting your work! The submission deadline will be in March 2022.

March 2021: Our paper, MyoMonitor: Evaluating Muscle Fatigue with Commodity Smartphones, has been published at the Elsevier Smart Health Journal. This is the first work that uses commodity smartphones to evaluate humans' muscle conditions. This is collaborative work with UPMC and Department of Orthopaedic Surgery at Pitt School of Medicine.

August 2020: Our paper, SpiroSonic: Monitoring Human Lung Function via Acoustic Sensing on Commodity Smartphones, has been accepted for publication at the 2020 International Conference on Mobile Computing and Networking (MobiCom). This is collaborative work with the Children's Hospital of Pittsburgh, and could potentially contribute to in-home evaluation of COVID-19 risks.

May 2020: We have been exploiting the power of modern mobile computing technologies to fight against COVID-19. Our new project of using commodity smartphones for early-stage COVID-19 diagnosis has been funded by NSF, and was reported by several news media internationally. [WGN TV, Daily Mail, News Medical, Medical Express, Pittsburgh Post-Gazette]

March 2020: Our paper, MagHacker: Eavesdropping on Stylus Pen Writing via Magnetic Sensing from Commodity Mobile Devices, has been accepted for publication at the 2020 ACM International Conference on Mobile Systems, Applications and Services (MobiSys).

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