About Me
I am a software engineer with an interest in computer science and mathematics. I have experience with software development, computer architecture, computer vision, and machine learning.
I have a Masters degree in Computer Science and Engineering from The Ohio State University, where I studied Computer Vision and Machine Learning under Prof. James W. Davis. My research involved scene understanding and modeling in outdoor camera networks. My thesis focused on the automatic detection and exploitation of entry and exit regions (see this publication). Additionally, I worked on several other projects including distributed camera network control, a TCP camera server for analog pan-tilt-zoom cameras, and android applications that leveraged GPS and outdoor camera networks.
After college I spent three years at Intel working on tools to help characterize Intel CPUs and SoCs. During my time there I learned a tremendous amount about computer architecture, memory management, compilers, x86, and hardware/software debugging.
I’m currently a software developer at Atomic Object where I get to work on a variety of fun and exciting software projects.
About this site
I created this site to write about topics that I’m interested in to help myself understand them better. Maybe one day someone will stumble upon my site and find it interesting.
Note that all views expressed here are my own and not those of my employer
Presentations
Introduction to Machine Learning May 6th 2014
Publications
Detecting Behavioral Zones in Local and Global Camera Views
M. Nedrich and J. Davis
Machine Vision and Applications, Vol. 23, 2012, pp. 1-27.
Learning Scene Entries and Exits using Coherent Motion Regions
M. Nedrich and J. Davis
International Symposium on Visual Computing, November 2010.
Geo-registration and Interactive Control for Distributed Camera Networks
M. Nedrich, K. Sankaranarayanan, and J. Davis
OSU Dept. Computer Science and Engineering Technical Report OSU-CISRC-6/10-TR13, 2010.
Masters Thesis
M. Nedrich
Master of Science, Ohio State University, Computer Science and Engineering, 2011.