I'm currently a computer science graduate student at Georgia Tech working with Dr. Henrik Christensen and Dr. Irfan Essa. I graduated magna cum laude at Clemson University in December 2012 with a BS in Computer Engineering. I then went on to work for INSCOM/NSA before deciding to go back to school. My research interests include robotics, automation, computer vision, deep learning, and computer security. My current projects are segmentation in 3D and 4D spaciotemporal regions and gesture recognition with RGBD images. My work has been featured by websites/magazines such as The Washington Post, the Huffington Post, Techcruch, the Daily Dot, Mashable, Slashdot, Engadget, Linux User and Developer Magazine, raspberrypi.org, Hackaday, StackOverflow, and Lifehacker. I've been featured due to my Snapchat Captcha solver, Google Voice API, and voice-controlled software.
I have been in grad school for over two years now. I write most of my computer vision code in C++ using Visual Studio. I have written my own kinect wrapper and point cloud library, which can be found in the Blepo library. All of my code is open source and can be found Here.
Before graduating from Clemson, I worked at a smart meter company called Itron where I was introduced to computer vision. After graduating, I worked as a Cyber Capabilities Developer for the NSA/Army. I left there after deciding to go to Georgia Tech to get my PhD. I have spent time working at a startup (fyusion.com) and at Microsoft Research.
My current extracurricular interests include tinkering and building robots/devices, the Raspberry Pi, the Microsoft Kinect, rock climbing, martial arts, Settlers of Catan, Magic the Gathering, music, movies, and art.
My resume may be found here.
My code can be found here.
Explanations of code can be found here.
IROS 2012 Publication: An Energy Minimization Approach to 3D Non-Rigid Deformable Surface Estimation Using RGBD Data
CVPR 2014 Publication: Efficient Hierarchical Graph-Based Segmentation of RGBD Videos
WACV 2015 Publication: Semantic Instance Labeling Leveraging Hierarchical Segmentation
ISWC 2015 Publication: Predicting Daily Activities from Egocentric Images Using Deep Learning