Mobile Systems Researcher
I am a Ph.D. candidate in Dr. Lin Zhong's Efficient Computing Group at Rice University.
My research focuses on increasing the battery life of smartphones and tablets while enabling them to do wildly powerful tasks. Although our devices have a diverse set of informative sensors, the challenge is to sense and process data in a power-efficient manner. We create low-level system designs to work toward this goal.
I am searching for Faculty Positions in the coming cycle.
Starfish: Efficient Concurrency Support for Computer Vision
Energy Characterization and Optimization of Image Sensing Toward Continuous Mobile Vision
Building a Mood Sensor from Smartphone Usage Patterns
Reflex: Using Low-Power Processors in Smartphones Without Knowing Them
(Invited Talk) Rethinking the Imaging Pipeline for Privacy-Preserving Energy-Efficient Continuous Mobile Vision
Society for Information Display (SID) Display Week 2015, San Jose, California
(Workshop Paper) Draining our Glass: An Energy and Heat Characterization of Google Glass
(Workshop Paper) Styrofoam: A Tightly Packed Coding Scheme for Camera-based Visible Light Communication
(Ph.D. Forum Talk) Efficient Image Processing for Continuous Mobile Vision
Best Ph.D. Forum Presentation Award
MobiSys 2014 Ph.D. Forum, Bretton Woods, New Hampshire
(Workshop Paper) MoodSense: Can Your Smartphone Infer Your Mood?
Best Paper Award at PhoneSense Workshop @ Sensys 2011, Seattle
PhoneSense: Workshop on Sensing Applications on Mobile Phones
(Demo Paper) SUAVE: Sensor-based User Aware Viewing Enhancement
Demoed at UIST 2011, Santa Barbara
UIST: ACM Symposium on User Interface Software and Technology
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