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• Bio
Diane Myung-kyung Suh is a third year PhD student in the department of computer science at the University of California, Los Angeles.Her research interests are wireless embedded medical systems, database management systems, data stream mining techniques, and computer algorithms.She is currently a member of the Embedded and Reconfigurable System Laboratory at the University of California, Los Angeles.
• Contact Info
Office:
Embedded and Reconfigurable Systems Lab
3256N Boelter Hall,UCLA,
Los Angeles, CA 90095
Email: dmksuh@cs.ucla.edu
• Research Interest
Wireless embedded medical/fitness systems
Sensor data stream mining systems
Machine learning-based systems
Database management systems
Computer algorithms
• Education
Ph.D. in Computer Science
Fall 2007 -Present
University of California, Los Angeles
B.S. in Computer Science
August 2007
Sogang University, Seoul, South Korea
Graduated top of the department, Early graduation.
• Teaching Experience
Teaching Assistant of CS 143, Database Systems, University of California, Los Angeles, Winter 2009
Teaching Assistant of CS 33, Introduction to Computer Organization, University of California, Los Angeles, Spring 2009
• Publication
Myung-kyung Suh, Kyujoong Lee, Alfred Heu, Ani Nahapetian, Majid Sarrafzadeh, Bayesian Networks-Based Interval Training Guidance System for Cancer Rehabilitation, Conference on Mobile Computing, Applications, and Services (MobiCASE), October 2009 (Best Paper Award)
Kyle Dorman, Marjan Yahyanejad, Ani Nahapetian, Myung-kyung Suh, Majid Sarrafzadeh, William McCarthy, William Kaiser , Nutrition Monitor: A Food Purchase and Consumption Monitoring Mobile System, Conference on Mobile Computing, Applications, and Services (MobiCASE), October 2009
Myung-kyung Suh, Kyujoong Lee, Ani Nahapetian, Majid Sarrafzadeh, Interval Training Guidance System with Music and Wireless Group Exercise Motivations, IEEE Symposium on Industrial Embedded Systems (SIES2009), July 2009
Myung-kyung Suh, Mahsan Rofouei, Ani Nahapetian, Majid Sarrafzadeh, William J. Kaiser, Optimizing Interval Training Protocols Using Data Mining Decision Trees, 6th Body Sensor Networks (BSN), June 2009