Dr. Lu (Annie) Luo (CS 2008)

Bio

At Carnegie Mellon, I worked with my advisor, Professor Dan Siewiorek on how user interactions can impact the energy consumption of mobile computer systems. My research interests include mobile and ubiquitous computing, energy awareness, human-computer interaction specializing in cognitive modeling, and software engineering with a focus on performance.

Dr. Luo currently works as a member of the Think Tank Team with Samsung Research America.

Publications

Lu Luo and Daniel P. Siewiorek, KLEM: A Method for Predicting User Interaction Time and System Energy Consumption during Application Design. In Proceedings of 11th International Symposium on Wearable Computers, Boston, MA, October 2007

Lu Luo and Bonnie E. John. Predicting Task Execution Time on Handheld Devices Using the Keystroke-Level Model. In Proceeddings of the International Conference on Human Factors in Computing System (CHI 2005) extended abstracts on Human factors in computing system, Portland, OR, April 2005

Marcel C. Rosu, C. Michael Olsen, Chandrasekhar Narayanaswami, and Lu Luo, PAWP: A Power Aware Web Proxy for Wireless LAN Clients. In Proceedings of the 6th IEEE Workshop on Mobile Computing Systems & Applications (WMCSA 2004), UK, December 2004.

M. Rosu, C. Olsen, L. Luo, and C. Narayanaswami, The Power-Aware Streaming Proxy Architecture. In Proceedings of the First International Workshop on Broadband Wireless Multimedia: Algorithms, Architectures and Applications (BroadWim 2004), San Jose, CA, October 2004.

Asim Smailagic, Daniel Siewiorek, and Lu Luo. A System Design and Rapid Prototyping of Wearable Computers Course. In Proceedings of 2003 IEEE International Conference on Microelectronic Systems Education, 1-2 June 2003, pp. 80-82.

Subu Iyer, Lu Luo, Robert Mayo and Parthasarathy Ranganathan, Energy-Adaptive Display System Designs for Future Mobile Environments. MobiSys, Proceedings of the First International Conference on Mobile Systems, Applications, and Services, San Francisco, May 2003.

Lu Luo, Fault Manifestation Model for Predicting Anomalous System Behavior. International Conference on Dependable Systems and Networks (DSN), Bethesda, MD, June 2002. Student Forum.