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2021

"A Picture's Worth a Thousand Data Points? AI-driven Machine Learning in Digital Humanities Analyses" by Dr. Charles Goldberg, Associate Professor of History and Zach Haala (majors in Computer Science with Software Project Management, Digital Humanities, and Software Engineering '22)

Dr. Goldberg has published a tutorial about his research in Programming Historian.

Facial Recognition in Historical Photographs with Artificial Intelligence in Python

2018

“Integrating Deep Machine Learning into New Physics Searches with the CMS Experiment” by Dr. Julie Hogan, Assistant Professor of Physics and Sam Johnson (majors in Mathematics and Physics, '19)

Dr. Hogan's research has been published in the Journal of High Energy Physics.

Search for vector-like T and B quark pairs in final states with leptons at √s = 13 TeV

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