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Rory Lewis PhD JD

Rory >> Artificial Intelligence in Complex Systems

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 complex systems found in health tech and financial engineering. I also work as a researcher at the University of Colorado Denver's Anschutz Medical Campus. My interests involve Big Data, complex systems in health tech and financial systems, data wrangling and connecting cutting-edge computational informatic methodologies to medicine and autonomous banking (see here).

 

My hobbies include playing guitar, breeding Mastiffs and stomping out cruelty to animals. As a hobby, I have published 5 best seller iPhone App books (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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Recent News

PhD Students

  • Chadwick Mello, Christopher Hammond and James Ellenberger

Recent Papers

  Seizure and Pathologic Oscillatory Detection by Entropy of the Discrete Amplitude Distribution. .
  7th International Conference on Similarity Search and Applications (SISAP 2014), Los Cabos, Mexico, October 29th-31st, 2014.
Ron Broberg. Rory Lewis.

 

 

   

  Semi-Autonomous Neuroclustering: Supervised Learning for the Neurosurgery Intensive Care Unit Using Single-Layer Perceptron Classifiers.
  International Conference on Brain Informatics and Health (BIH 2014, Warsaw, Poland, August 11th-14th, 2014.
Chad. A. Mello, Rory Lewis, Amy Brooks-Kayal, Jessica Carlsen, Heidie. Grabenstatter, and Andrew. M. White.

 

 

   

  2 Neuroscience Rough Set Machine Learning Applications for Autonomous Credit Risk Analysis of Branchless Banking Subprime Loans., June 25 – 27, Denmark, Roskilde, 2014..
  1st International Symposium on Methodologies for Intelligent Systems ISMIS 2014.
Rory Lewis.

 

 

   

  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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