Robert LiKamWa
Rice University Ph.D. Student of
Electrical & Computer Engineering
roblkw (@) roblkw.com

Mobile Systems Researcher

I'm Robert LiKamWa, a Ph.D. student 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. Our lab uses careful observations, creating low-level system designs to work toward this goal.

[Collaborators]

[Educational History & Work Background]

[My surname: LiKamWa]

[Resume (HTML)]

This website is now konami-code enabled!

Research Highlights

(Read more on the Research Projects pages, accessible with the left-hand navigation bar.)

(new)Styrofoam: A Tightly Packed Coding Scheme for Camera-based Visible Light Communication

Visible Light Communication Systems 2014, Maui, Hawaii
[Camera-ready Paper Pending]

(new)Draining our Glass: An Energy and Heat Characterization of Google Glass

APSys: Asia-Pacific Workshop on Systems 2014, Beijing
[Paper]
[Presentation Video]
[Slides to be uploaded]

(new)MobiSys 2014 - Best Ph.D. Forum Presentation Award

MobiSys 2014, Bretton Woods, New Hampshire

Energy Characterization and Optimization of Image Sensing Toward Continuous Mobile Vision

Best Paper Award at MobiSys 2013, Taipei (Acceptance: 15.7%, 33/210)
MobiSys: ACM Conference on Mobile Systems, Applications, and Services
[Paper PDF]
[5 Minute Video Rundown]
[Conference Slides PDF]
[Conference Talk Video]
[MIT Tech Review Coverage]

Building a Mood Sensor from Smartphone Usage Patterns

Published & Presented at MobiSys 2013, Taipei
[Paper PDF]
[Conference Slides PDF]
[Conference Talk Video]
[Jimmy Kimmel Late Night Comedy Sketch]
[ABC News Press Coverage]
[Communications of the ACM Coverage]

Reflex: Using Low-Power Processors in Smartphones Without Knowing Their Characteristics

Published at ASPLOS 2012, London (Acceptance: 21.5%, 37/172)
ASPLOS: ACM Conference on Architectural Support for Programming Languages and Operating Systems
[Paper pdf]
[Xiaozhu Lin's Project Site]

Other Work

(Workshop Paper) MoodSense: Can Your Smartphone Infer Your Mood?

Best Paper Award at PhoneSense 2011, Seattle (Co-located with SenSys)
PhoneSense: Workshop on Sensing Applications on Mobile Phones
[Paper PDF]

(Demo Paper) SUAVE: Sensor-based User Aware Viewing Enhancement

Demoed at UIST 2011, Santa Barbara
UIST: ACM Symposium on User Interface Software and Technology
[Paper PDF]