Engineering | School of Electrical, Computer and Energy Engineering

Likamwa, RobertRobert LiKamWa

Assistant Professor

ASU Directory Profile

Personal Webpage

Google Scholar

 Lab Website

Stauffer B201
likamwa@asu.edu

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.

Selected Patent

  1. LiKamWa, N. Priyantha, M. Philipose, L. Zhong, P. Bahl, “Energy Proportional Image Sensor,” United States Patent 13,770,031, Issued Nov. 22, 2016.

Selected Publications

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.