Research expertise: Mobile operating systems; mobile computer architecture; low-power mobile systems; computational imaging systems; computer vision systems; augmented reality systems; virtual reality systems; holographic computing
Robert LiKamWa received his B.S., M.S., and Ph.D. degrees in Electrical and Computer Engineering from Rice University, in Houston, Texas.
- LiKamWa, N. Priyantha, M. Philipose, L. Zhong, P. Bahl, “Energy Proportional Image Sensor,” United States Patent 13,770,031, Issued Nov. 22, 2016.
Kodukula, S. Medapuram, B. Jones, R. LiKamWa, “A case for temperature-driven task migration to balance energy efficiency and image quality of vision processing workloads”, ACM HotMobile
Hu, J. Yang, V. Delhivala, R. LiKamWa, “Characterizing the Reconfiguration Latency of Image Sensor Operation on the Android OS”, ACM HotMobile
Shearer, L. Guo, J. Liu, A. Satkowski, R. LiKamWa, “Characterizing Bottlenecks towards a Hybrid Integration of Holographic, Mobile, and Screen-based Data Visualization”, Immersive Analytics @ IEEE VIS
LiKamWa, Y. Hou, J. Gao, M. Polansky, L. Zhong, “RedEye: Analog ConvNet Image Sensor Architecture for Continuous Mobile Vision”, ACM/IEEE ISCA
LiKamWa, L. Zhong, “Starfish: Efficient concurrency support for computer vision applications”, ACM MobiSys
LiKamWa, B. Priyantha, M. Philipose, L. Zhong, “Energy proportional image sensors for continuous mobile vision”, ACM MobiSys (Best Paper Award)
LiKamWa, Y. Liu, N. Lane, L. Zhong, “MoodScope: Building a mood sensor from smartphone usage patterns”, ACM MobiSys
X. Lin, Z. Wang, R. LiKamWa, L. Zhong, “Reflex: using low-power processors in smartphones without knowing them”, ACM ASPLOS 2012.