Caleb D. Woo has a Master's degree in Electrical and Computer Engineering from Cornell University with a concentration in image processing. He has over 3 years of experience in software engineering roles developing image processing and computer vision algorithms. His technical skills include C, C++, Java, MATLAB and he has worked with OpenCV, VisionX and other computer vision tools. Currently he is a Software Engineer at Lockheed Martin contributing to projects in distribution technologies and infrastructure analytics.

1. CALEB D. WOO
Current Address Permanent Address
1025 Reynolds Rd., Apt. R4 (240)274-8730 6104 Swansea Street
Johnson City, NY 13790 cdw75@cornell.edu Bethesda, MD 20817
EDUCATION
Cornell University, College of Engineering, Ithaca, NY
Master of Engineering in Electrical and Computer Engineering May 2014
Concentration in Image Processing, GPA: 3.52
Bachelor of Science in Engineering Physics May 2013
Minor in Electrical and Computer Engineering, GPA: 3.52
Graduated Cum Laude in 3 years
RELEVANT COURSES
Computer Vision · Digital Signal Processing · Optimal System Analysis and Design · Mathematical Physics ·
Computer Analysis of Biomedical Images · Digital Logic and Computer Organization · Continuum Physics · Com-
putational Motion · Computational Engineering Physics · Quantum Mechanics · Electrodynamics · Advanced
Experimental Physics
RELEVANT EXPERIENCE
Video Analytics Group, Lockheed Martin June 2014-Present
Software Engineer
· Contributed to multiple projects in the area of Distribution Technologies and Infrastructure Analytics.
· Introduced and integrated new technology related to object detection and optical character recognition to
improve software image processing capabilities.
Advanced Multimedia Processing Lab, Cornell University September 2013-June 2014
Graduate Researcher
· Developed a real-time video-based facial recognition algorithm.
· Used OpenCV tools to implement algorithm based on established face detection and recognition methods.
Vision and Image Analysis Group, Cornell University June 2013-Present
Graduate Researcher
· Programmed moment-based algorithm for blood vessel detection in low dose CT lung scans.
· Tested algorithm on synthetic image data set and performed quantitative analysis on real lung data.
Department of Electrical and Computer Engineering, Cornell University August 2013-Present
Graduate Teaching Research Specialist
· Devoted 8 to 10 hours per week on average for course Introduction to Systems and Synthetic Biology.
· Maintained website and preparing class materials for lecture.
· Conducted o ce hours to assist 33 students with computational projects. Includes debugging students’
code in MATLAB and introducing students to basic computation, such as the application of Monte Carlo
simulation to assessing feedback regulated system of opposing enzymes.
ACTIVITIES
Cornell Symphony Orchestra, Violist August 2010-June 2014
TECHNICAL SKILLS
Computer Languages C, C++, Java, MATLAB, working knowledge of LabVIEW
Software Tools Microsoft Visual Studios, Xcode, Vim, VisionX, OpenCV, LATEX
Security Clearance: Secret