ALEX D. EDGCOMB

Research Assistant & Lecturer, Department of Computer Science and Engineering
University of California, Riverside
aedgcomb@cs.ucr.edu, http://www.cs.ucr.edu/~aedgcomb

RESEARCH INTERESTS

Embedded systems applications for health care, and embedded systems and software design.

EDUCATION

• M.S., 2011, Computer Science, University of California, Riverside
  Title: A Graphical Monitoring and Notification Flow Language (MNFL) for User-Configurable In-Home Assistive Monitoring
  Advisor: Professor Frank Vahid
  
• B.S., 2008, Computer Science, University of California, Riverside.

RESEARCH, EDUCATION AND INDUSTRY EXPERIENCE

• Research Assistant, March 2010-present, University of California, Riverside, advised by Frank Vahid. Developed Monitoring and Notification Flow Language (MNFL) for programmable in-home assistive monitoring. Implemented MNFL as graphical software that integrates cameras and sensors. Conducted 6 seperate human subject trials validating the usability of the software with a total of over 1600 participants. Developed 6 privacy-enhanced video techniques and compared the techniques against common techniques for privacy perception and fall detection ability in an experiment with over 1000 participants. Developed an automated fall detection algorithm for unaltered video and privacy-enhanced videos. Developed a video-based technique for estimating human energy expenditure.
• Lecturer, July 2011-Aug. 2011, University of California, Riverside. Introduction to Embedded System Design. Upper-division course with 33 students.
• Teaching Assistant, Sept. 2009-June 2011, University of California, Riverside. 4 upper-division embedded systems courses and 2 lower-division engineering courses.
• Software Test Engineer, Research and Development, Nov. 2008-July 2009, Nokia, San Diego, CA. Black box software testing using manual and automated techniques.
• Undergraduate Research Assistant, Dec. 2006-Sept. 2007, University California, Riverside, advised by Professor Eamonn Keogh. Removed artifacts from and standardized orientation for images of butterflies.

SKILLS

• C/C++, Ruby, ActionScript (Flash/AIR), OpenCV, PHP, HTML/CSS, AVR microcontrollers, MySQL, Zend Framework, Java

AWARDS AND HONORS

• Outstanding Teaching Assistant Award, Teaching Assistant Development Program, University of California, Riverside, 2010-2011.
• Dean’s Distinguished Fellowship Award, University of California, Riverside, 2009-2011.

PUBLICATIONS

A. Edgcomb, F. Vahid. MNFL: The Monitoring and Notification Flow Language for Assistive Monitoring. ACM SIGHIT International Health Informatics Symposium (IHI), 2012.

A. Edgcomb, F. Vahid. Feature Extractors: Flexible Integration of Cameras and Sensors for End-User Programming of Assistive Monitoring Systems, Wireless Health, 2011, 2 pages.