Michael Procopio
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Michael J. Procopio is a Machine Learning Doctoral Candidate in the University of Colorado at Boulder's Department of Computer Science. His dissertation research focuses on achieving long term learning through the training and combination of multiple linear models; currently this research being applied towards the unsolved problem of robot navigation in unstructured outdoor environments. His Ph.D. funding is provided by his employer, Sandia National Laboratories, where he holds the position of Senior Member of the Technical Staff. Other research interests outside of machine learning and robotics include ad-hoc wireless networks (related to graduate research done previously at the University of Florida), computer vision, and cryptography.

 

Publications

Michael Procopio, Greg Grudic, Jane Mulligan, Using binary classifiers to augment stereo vision for enhanced autonomous robot navigation, University of Colorado at Boulder, Boulder, Colorado 80309-430, Tech. Rep. CU-CS-1027-07, 2007
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J. M. Linebarger, A. J. Scholand, M. A. Ehlen, Michael Procopio, Benefits of synchronous collaboration support for an application-centered analysis team working on complex problems: a case study, In Proceedings of the 2005 international ACM SIGGROUP Conference on Supporting Group Work (Sanibel Island, Florida, USA, November 06 - 09, 2005). GROUP, 2005
abstract | pdf

Michael Procopio, YCab.NET: Decentralized Collaboration Groupware for Mobile Devices using the Microsoft .NET Framework, Master's of Science Thesis, University of Florida, 2002
abstract | pdf