B.S., Computer Science, University of Wisconsin-Oshkosh, 2009
M.S., Computer Science, Montana State University, 2012
Ph.D., Computer Science, Montana State University, 2015
Information retrieval, data science, machine learning, big data, database systems, artificial intelligence, visualization
I was born and raised in a wonderful small town in northeast Wisconsin. As a typical native Wisconsinite, I’m a huge fan of fresh cheese curds and Green Bay Packers football.
It’s probably not a surprise, but I like all sorts of aspects of computers and technology. I’ve built my own computers since I was a kid, and I spend a lot of time programming for work and fun. When I’m not at my desk, you can probably find me biking around town or hiking in the mountains. I enjoy photography, and I’m also an avid disc golfer in the summer.
M. Schuh, J. Banda, T. Wylie, P. McInerney, K. Ganesan Pillai, and R. Angryk, On visualization techniques for solar data mining, Astronomy and Computing, vol. 10, April 2015, pp. 32–42.
M. Schuh, J. Banda, P. Bernasconi, R. Angryk, and P. Martens, A comparative evaluation of automated solar filament detection, Solar Physics, vol. 289, no. 7, 2014, pp. 2503–2524.
J. Banda, M. Schuh, R. Angryk, and P. Martens, Image retrieval on compressed images: can we tell the difference?, Proceedings of the 4th International Conference on Image Processing Theory, Tools and Applications (IPTA 2014), pp. 1–6.
M. Schuh and R. Angryk, Massive labeled solar image data benchmarks for automated feature recognition, Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), pp. 53–60.
M. Schuh, T. Wylie, and R. Angryk, Mitigating the curse of dimensionality for exact kNN retrieval, Proceedings of the 27th International Florida Artificial Intelligence Research Society Conference (FLAIRS 2014), pp. 363–368.