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Rory Lewis PhD JD

Rory A Lewis JD PhD

Rory Lewis

I work as an Assistant Professor in the Computer Science Department at the University of Colorado at Colorado Springs where my focus is on machine learning signal analysis in bioinformatic systems. I also work as a researcher under COMIRB 09-1111 at the University of Colorado Denver's Anschutz Medical Campus. My interests involve connecting cutting edge computational methodologies to medicine wherein my machines can predict 1) pathological oscillations in patients recovering in the neurosurgery ICU (see here); 2) relapses in drug and alcohol addicts, and; 3) overtraining and loss of menstrual cycles in elite atheltes.

 

My hobbies include playing guitar, breeding Mastiffs and stomping out cruelty to animals. As a hobby, I have published 4 best seller iPhone App books available in seven languages around the world (see here).

 

In the winters Kera and I enjoy telemark and cross country skiing. In the summers we participate in triathlons & bike races.

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Rory Lewis Research
Rory Lewis Vita
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Recent News

PhD Students

  • Chadwick Mello, Christopher Hammond and James Ellenberger

Recent Papers

  Investigation into the Efficacy of Generating Synthetic Pathological Oscillations for Domain Adaptation.
  Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 14th International Conference, RSFDGrC 2013, Halifax, NS, Canada, October 11-14, 2013
Rory Lewis, James Ellenberger, Colton Williams and Andrew M. White

 

 

   
  Domain Adaptation neuroClustering™ Algorithm for Pathologic Oscillatory Machine Learning
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 14th International Conference, RSFDGrC 2013, Halifax, NS, Canada, October 11-14, 2013
R. Lewis, C. A. Mello, J. Ellenberger, and A. M. White

 

 

   
  Semi-Autonomous Neuroclustering: Autonomous neuroClustering™ using Centroidal Displacement Analysis.
9th International Conference on Machine Learning & Data Mining MLDM July 13-16, New York City, USA, pages 65-72, 2013.J. Carlsen, H. Grabenstatter,
R. Lewis, C. A. Mello, A. Brooks-Kayal, J. Carlsen, H. Grabenstatter, and A. M. White.

 

 

   
  Identification of Seizures in Prolonged Video-EEG Recordings
66th American Epilepsy Society Annual Meeting, November 30 -December 4, San Diego, CA, USA, 2012.
J. Carlsen, H. Grabenstatter, R. Lewis, C. A. Mello, A. Brooks-Kayal & A. M. White.

 

 

   
  Tracking Epileptogenesis Progressions with Layered Fuzzy K-Means and K-Medoid Clustering
In Proceedings of the International Conference on Computational Science, ICCS 2012. Volume 9, June 4 -6, Omaha, Nebraska, pages 432 – 438, 2012.
R. Lewis, C. A. Mello, and A. M. White.

 

 

 
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