I am a Ph.D. candidate at UCLA Computer Science Department in Los Angeles and work at Center of Embedded Networked Sensing (CENS). I am happy to work with Deborah Estrin and Ramesh Govindan. My Intel Ph.D. fellowship mentor is Roy Want, and I also work closely with Jeff Hightower at Intel Labs. Prior to joining CENS at UCLA, I earned my M.S. in Information Networking from Carnegie Mellon University and B.S. in Computer Science from Korea Advanced Institute of Science and Technology (KAIST). I have a broad interest in mobile and pervasive computing, embedded and networked sensing systems, and intelligent machines. My research interests include learning, abstracting, and representing semantic meanings from sensory and web data. My current focus is on developing techniques that sense places and paths in a semantic manner as people do normally.
Services
Reviewer
- 2011: Pervasive, Ubicomp
- 2010: Ubicomp, Pervasive, Mobisys, IEEE Pervasive Computing
- 2009: Mobisys, IEEE Pervasive Computing
Current Projects
Loci, a semantic location service
Loci is a service layer that abstracts a user's location context as places and paths. The service learns new places, suggests potentially meaningful places, recognizes registered places, and tracks paths connecting places. ** Contact me if your application or research find these features useful.
AndTracer, a data collection tool for Android phones
AndTracer is a tool that let's you continuously collect sensor data from Android phones. It currently supports collecting GPS, Android Network, Skyhook positions, Wi-Fi and cell tower scans, accelerometer, and compass readings. Data is logged in JSON format and downloadable from the phone for post-analysis.