Rory Lewis

Associate Professor, Dept. of Computer Science
Engineering Building, Room 188
University of Colorado at Colorado Springs
1420 Austin Bluffs Parkway
Colorado Springs, CO 80918, 719.255.3149
rlewis5@uccs.edu :: https://www.rorylewis.com


Dr. Lewis is the Program Director: Masters of Computer Science. He is the recipient of Outstanding Achievement: Teacher of the Year. College Of Engr, Computer Science. He is the recipient of Outstanding Achievement: Inventor of the Year CU. University of Colorado, for his innovative work in machine learning. He is also the recipient of the Diversity & Inclusiveness Award; “Innovations in Scholarship for Inclusiveness" and he is the recipient of Outstanding Achievement: Teacher of the Year. College of Engr (Student Vote), 2018.

Dr. Lewis conducts his Machine Learning research at both the University of Colorado's Colorado Springs campus and the neuroICU ward at at Anschutz Medical School campus. He has also works at Warsaw University and the Pentagon where he has Secret Clearance and is a Senior Research Fellow in machine learning systems for Intelligence Surveillance & Recconnaissance (ISR). Dr. Lewis is also a Senior Research Scientist for machine learning and artificial intelligence at the RAND Corporation. See Curriculum Vitae below, or view & download a pdf version here.

News

Some Recent Research (November 2018) R. Lewis, C. Mello, Y. Zhuang, M. K. -C. Yeh, Y. Yan, D. Gopstein. “Rough Sets: Visually Discerning Neurological Functionality During Thought Processes.”The 24th Int. Symposium on Methodologies for Intelligent Systems, (ISMIS ‘18),). 29th – 21st October, St. Raphael, Limassol, 2018.

neuroClustering_03 from Rory Lewis PhD JD on Vimeo.

 


Academic

Prof. Lewis received a B.S. in Computer & Electrical Engineering in 1993 from Syracuse University. In 1996, he received his J.D in Law from the Syracuse University College of Law. After working in law, litigating microprocessor electrical engineering intellectual property inherent in microprocessors, such as Intel. v. AMD, Dr. Lewis transitioned back into academia over 2002 - 2004. In 2008 he received his PhD in Computer Science at the University North Carolina at Charlotte.  

  • 2016 - Present, Associate Professor, University of Colorado at Colorado Springs, CO.
  • 2008 - 2016, Assistant Professor, University of Colorado at Colorado Springs, CO. 
  • 2007 - 2008, Lecturer, Catawba College, NC.
  • 2006 - 2008, Lecturer, University of North Carolina at Charlotte, Business School, NC.
  • 2003 - 2008, Lecturer, University of North Carolina at Charlotte, Engineering School, NC.

Peer-Review Publications

  1. R. Lewis. “A Logical Theory Towards an Invariant Phenomenological State of Artificial Consciousness.” International Conference on Artificial Consciousness, (ICAC ‘19), pending. 22nd – 23rd April, New York, NY, 2019.
  2. R. Lewis, C. Mello, Y. Zhuang, M. K. -C. Yeh, Y. Yan, D. Gopstein. “Rough Sets: Visually Discerning Neurological Functionality During Thought Processes.”The 24th Int. Symposium on Methodologies for Intelligent Systems, (ISMIS ‘18),). 29th – 21st October, St. Raphael, Limassol, 2018.
  3. R. Lewis, “ISR-Brain Machine Intelligence for Unmanned Aircraft Systems.” 2nd International Symposium of Intelligent Unmanned Systems on Artificial Intelligence,, (SIUSAI ‘18), 27th – 29th August, Las Vegas, NV, 2018.
  4. R. Lewis, “ISR-3D Terrain: Artificial Intelligence Multidimensional Mapping for Unmanned Aircraft Systems”2nd International Symposium of Intelligent Unmanned Systems on Artificial Intelligence,, (SIUSAI ‘18), 27th – 29th August, Las Vegas, NV, 2018.
  5. R. Lewis, “Artificial Intelligence for Neuro ER: Give him Blood, or Oxygen, or Spinal Tap/Medication or a Craniotomy?”The 2018 Military Health System Research Symposium, (MHSRS). 20th – 23rd August, Kissimmee, Fl, 2018.
  6. R. Lewis, M. Bihn, Artificial Intelligent Agent for Autonomous Prediction and Dynamic Feedback for High Performance Athletes. The 2017 International Conference on Computational Science and Computational Intelligence (CSCI'17) : December 14-16, Las Vegas, 2017.
  7. R. Lewis, M. Bihn, Cerebral Vasospasm Decision Support System for Neurosurgeons. The 2017 International Conference on Computational Science and Computational Intelligence (CSCI'17) : December 14-16, Las Vegas, 2017.
  8. R. Lewis, C. Mello, Yanyan Zhuang, Y. K. -C, Martin, Yu Yan, D. Gopstein, Visually Discerning Neurological Functionality During Intense Versus Trivial Thought Processes (poster). 13th International Symposium on Medical Information Processing and Analysis (SIPAIM 2017) October 5 - 7, San Andres Island - Colombia, 2017.
  9. K. Kamalaldin, R. Lewis, C. Mello, D. R. Cserpan, S. Zoltan, P. Erdi, Z. Borhegyi. “Classifying & Localizing Epileptic Brain States Using Structural Features of Neuronal Sugihara Causation Networks. InAdvanced Computational Neuroscience Network, (ACNN ‘16). 20th – 21st October, San Francisco, CA, 2016.
  10. A. Kennedy, R. Lewis. “Optimization of Neural Network Architecture for Biomechanic Classification Tasks with Electromyogram Inputs.”The 2nd International Conference on Advances in Bioscience and Bioengineering, (ICABB ‘16). 26th – 29th October, San Francisco, CA, 2016.
  11. A. Kennedy, R. Lewis. “Optimization of Neural Network Architecture for Biomechanic Classification Tasks with Electromyogram Inputs.”International Journal of Artificial Intelligence and Applications, (IJAIA ‘16). Vol. 7, No. 5, September 2016.
  12. R. Lewis, M. Bihn and C. Mello. "Machine Intelligence: The Neuroscience of Chordal Semantics and its Association with Emotion Constructs and Social Demographics. "International Symposium on Methodologies for Intelligent Systems, Springer International Publishing (ISMIS ‘15). 21st – 23rd (pp. 290-299), October, Lyon, France, 2015.
  13. R. Lewis, R. Broberg. “Seizure and Pathologic Oscillatory Detection by Entropy of the Discrete Amplitude Distribution.”The 7th International Conference on Similarity Search and Applications, (SISAP ‘14). (pp 247 – 252), 29th – 3rd October, Los Cabos, Mexico, 2014.
  14. C. Mello, R. Lewis, A. Brooks-Kayal, J. Carlsen, H. Grabenstatter, and A. M. White. “Semi-Autonomous Neuroclustering: Supervised Learning for the Neurosurgery Intensive Care Unit Using Single-Layer Perceptron Classifiers.” The International Conference on Brain Informatics and Health, (BIH '14'). 11th – 14th August, Warsaw, Poland, 2014.
  15. R. Lewis. “Neuroscience Rough Set for Credit Risk Analysis of Branchless Banking Subprime Loans.”The 21st International Symposium on Methodologies for Intelligent Systems, (ISMIS '14). (pp. 536 – 541), 25th – 27th June, Roskilde, Denmark, 2014.
  16. R. Lewis, J. Ellenberger, C. Williams and A. M. White. “Investigation into the Efficacy of Generating Synthetic Pathological Oscillations for Domain Adaptation.” In Proc. SPIE 8922, IX International Seminar on Medical Information Processing and Analysis International Society for Optics and Photonics, (SPIE '13). (pp. 89220E-89220E), 11th – 14th México City, Mexico, 2013.
  17. R. Lewis, C. Mello, J. Ellenberger, & A. M. White.” Domain Adaptation for Pathologic Oscillations.” In Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 14th International Conference,, (RSFDGrC ‘13). (pp. 347-379), 11th – 14th October, Halifax, NS, Canada, 201
  18. R. Lewis, C. Mello, A. Brooks-Kayal, J. Carlsen, H. Grabenstatter, and A. M. White. "Autonomous neuro Clustering of Pathologic Oscillations Using Discretized Centroids." InConference: 8th International Conference on Mass Data Analysis of Images and Signals with Applications in Medicine,, (MDA ‘13). (pp. 12-23), 13th – 16th July, New York City, NY, 2013.
  19. R. Lewis, C. Mello, A. Brooks-Kayal, J. Carlsen, H. Grabenstatter, and A. M. White. “Semi-Autonomous Neuroclustering: Using Centroidal Displacement Analysis.”9th International Conference on Machine Learning & Data Mining, (MLDM ‘13). 15th – 20th July, New York City, NY, 2013.
  20. J. Carlsen, H. Grabenstatter, R. Lewis, C. A. Mello, A. Brooks-Kayal, and A. M. White. “Identification of Seizures in Prolonged Video-EEG Recordings.”66th American Epilepsy Society Annual Meeting, (AES '12'). Poster, 30th – 2nnd December, San Diego, CA, 2012.
  21. R. Lewis, C. Mello, and A. M. White. “Tracking Epileptogenesis Progressions with Layered Fuzzy KMeans and K-Medoid Clustering.” In Proceedings of the International Conference on Computational Science, (ICCS ‘12). (Vol. 9, pp 432-438), 4th – 6th June, Omaha, Nebraska, 2012.
  22. R. Lewis and A. Waziri. “minedICE™: A Knowledge Discovery Platform For Neurophysiological Artificial Intelligence.” In Proceedings of the 19th International Symposium on Methodologies for Intelligent Systems, Eds. Kryszkiewicz M., Rybinski H., Skowron A., Raś Z.W., Foundations of Intelligent Sys. Springer(ISMIS '11). Lecture Notes in Computer Science, (Vol. 6804, pp.575–580), 29th – 30th June, 2011.
  23. R. Lewis, B. Parks, D. Shmueli, and A. M. White. “Detecting Epileptogenesis in Power Variant Domains.” Journal of Control and Cybernetics, (JC&C). Eds. M. Klopotek, A. Ioffe, K. Malanowski and F. Troeltzsch, (Vol 40, pp. 293–314), 2011.
  24. R. Lewis and A. M. White. “Multimodal Spectral Analysis and Discrete Finite Automata for Detecting Seizures. ”Intelligent Agent Technology, in Proc. of the IEEE/WIC/ACM International Joint Conf. on Web Intelligence & Intelligent Agent Technology, (WI-IAT ‘10). (Vol 2. Pp. 445 – 448), 31st – 3rd September, Toronto, Canada, 2010.
  25. R. Lewis, B. Parks, and A. M. White. Determination of Epileptic Seizure Onset From EEG Data Using Spectral Analysis and Discrete Finite Automata. In Proceedings of the 2010 IEEE International Conference on Granular Computing, (GrC ’10). (pp. 277-282), 14th – 16th August, San Jose, CA, 2010.
  26. R. Lewis, B. Parks, D. Shmueli, and A. M. White. “Deterministic Finite Automata in the Detection of Epileptogenesis in a Noisy Domain.” Proceedings of the Joint Venture of the 18th International Conference Intelligent Information Systems and the 25th International Conference on Artificial Intelligence, (IIS ‘10). (pp. 207–218), 8th – 10th June, Siedlce, Poland, 2010.
  27. X. Zhang, W. Jiang, Z. Raś , and R. Lewis. “Blind Music Timbre Source Isolation by Multi-Resolution Comparison of Spectrum Signatures.” Rough Sets and Current Trends in Computing, in Proceedings of the 7th International Conference on RSCTC, M. Szezula et al. (EDs) LNAI 6068, Springer Berlin/Heidelberg (aRSCTC ‘10). (pp. 610-619), Warsaw, Poland, 2010.
  28. R. Lewis and A. M. White. “Seizure Detection Using Sequential and Coincident Power Spectra with Deterministic Finite Automata.” In Proceeding of Bioinformatics and Computational Biology, ((BIOCOMP ‘10). (Vol. I, pp. 481–488), 12th – 15th July, Las Vegas, Nevada, 2010.
  29. R. Lewis, D. Shmueli, and A. M. White. “Deterministic Finite Automata in the Detection of EEG Spikes and Seizures.” In Proceedings of The Joint Venture of The Ninth International Symposium on Intelligent Data Analysis, (IDA ‘10). (pp. 103–113), 19th – 21st May, Tucson, Arizona 2010.
  30. T. E. Boult, A. T. Chamillard, R. Lewis, N. Polok, G. Stock, D. Wortman. "Innovations in University Education in Innovation: Moving Beyond the B.S."International Journal of Innovation Science, (IJIS). (Vol.1 no 4, pp.167-178), Feb. 2010.
  31. R. Lewis, J. Kalita, S. Sarmah, and D. Bhattacharyya. “Music Industry Scalar Analysis Using Unsupervised Fourier Feature Selection.”Recent Advances in Intelligent Information Systems, Academic Publishing House EXIT, in Proceedings of Intelligent Information Systems, (IIS '09'). (pp. 485–494), 15th – 18th June, Krakow, Poland, 2009.
  32. R. Lewis, A. Cohen, W. Jiang, and Z. Raś. “Mining Chordal Semantics in a Non-Tagged Music Industry Database.” Advances in Intelligent Information Systems, Academic Publishing House EXIT, Proceedings of Intelligent Information Systems, (IIS '09). (pp. 473–483), 15th – 18th June, Krakow, Poland, 2009.
  33. R. Lewis, A. Cohen, W. Jiang, and Z. Raś. “Hierarchical Tree for Dissemination of Polyphonic Noise.” In Proceedings of The 6th International Conference on Rough Sets and Current Trends in Computing, Springer-Verlag, Berlin, Heidelberg (RSCTC ’08). (pp. 448–456), Lecture Notes in Computer Science, vol 5306. Springer, Berlin, Heidelberg, 2008.
  34. >Rory A. Lewis, Alicja Wieczorkowska. “Parameter-Based Categorization for Musical Instrument Retrieval.” In Marzena Kryszkiewicz, James F. Peters, Henryk Rybinski, Andrzej Skowron, (Eds) Proceedings. of Rough Sets & Intelligent Systems Paradigms, International Conference, Lecture Notes in Computer Science, Springer (aRSEISP ‘07). (Vol. 4585, pp. 784-792 ), 28th – 30th June, Warsaw, Poland, 2007.
  35. R. Lewis, W. Jiang, and Z. Raś. “Mining Scalar Representations in a Non-Tagged Music Database.” Foundations of Intelligent Systems. In Proc. of LNAI, Springer, (ISMIS’08). (pp. 445–454), 20th – 23rd May, Toronto, Canada, 2007.
  36. R. A. Lewis and A. Wieczorkowska. “Categorization of Musical Instrument Sounds Based on Numerical Parameters.” Conceptual Structures: Knowledge Architectures for Smart Applications, in Proceedings of 15th International Conf. on Conceptual Structures,, (ICCS ‘07). (Vol. 3, pp. 87-93), (Vol. 3, pp. 87-93), 2007.
  37. R. Lewis, X. Zhang, and Z. Raś. MIRAI: Multi-hierarchical FS-Tree Based Music Information Retrieval System. (Invited Paper) LNAI Springer, in Proceeding of Rough Sets and Intelligent Systems Paradigms., (RSEISP ‘07). (pp. 28–30), June, Warsaw Poland 2007.
  38. R. Lewis and Z. Raś. “Rules for Processing and Manipulating Scalar Music Theory.” IEEE Computer Society in Proceedings of the International Conference on Multimedia and Ubiquitous Engineering, (MUE ’07). (pp. 819–824), 26th – 28th April, Seoul, Korea, 2007.
  39. R. Lewis, Z. Raś : “Facial recognition”,Idea Group, Inc., 2008, John Wang (Ed.): Encyclopedia of Data Warehousing and Mining – 2nd Edition, (EDW&M). (Vol. II, pp. 857-862), 2008.
  40. A. Wieczorkowska, Z. Raś, X. Zhang, and R. Lewis. “Multi-Way Hierarchic Classification of Musical Instrument Sounds.” Multimedia and Ubiquitous Engineering in Seoul, Korea, in Proceedings of the IEEE CS Int. Conf. on Multimedia and Ubiquitous Engineering, (MUE ‘07). (pp.897–902), 26th – 28th April, Seoul, Korea, 2007
  41. R. Lewis, X. Zhang, and Z. Raś. “Blind Signal Separation of Similar Pitches and Instruments in a Noisy Polyphonic Domain.” International Symposium on Methodologies for Intelligent Systems., Springer, Berlin, Heidelberg Foundations of Intelligent Systems, F. Esposito et al. (Eds.), LNAI, Springer,((ISMIS '06). (Vol. 4203, pp. 228–237), 27th – 29th September, Bari, Italy 2006.
  42. R. Lewis, X. Zhang, and Z. Raś. “Knowledge Discovery Based Identification of Musical Pitches and Instruments in Polyphonic Sounds.” International Journal of Engineering Applications of Matricidal Intelligence, (Journal). Elsevier ISSN:0952-1976, (Vol. 20, No. 5, pp. 637–645), August 2007.
  43. A. Wieczorkowska, P. Synak, R. Lewis, and Z. Raś. “Creating Reliable Database for Experiments on Extracting Emotions from Music.” In: Kłopotek M.A., Wierzchoń S.T., Trojanowski K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, Springer, Berlin, Heidelberg (IIS’05). (Vol 31,pp. 395–404), 13th – 16th June, Gdansk, Poland:, 2005.
  44. A. Wieczorkowska, P. Synak, R. Lewis, and Z. Raś. “Extracting Emotions from Music Data.” International Symp. on Methodologies for Intelligent Sys. Foundations of Intelligent Systems, M. S. Hacid et al. (Eds.), LNAI, Springer (ISMIS '05'). (Vol. 3488, pp.456–465) 25th – 28th May, Saratoga Springs, New York, 2005.
  45. R. Lewis and Z. Raś. "Innertron: New methodology of facial recognition, Part II." Intelligent Information Processing and Web Mining. In Proceedings of the Intelligent Information Processing Symposium,, Springer, Berlin, Heidelberg (IIS 2005). (pp. 625 – 632), 13th – 16th June, Gdansk, Poland: 2005.
  46. R. Lewis and Z. Raś. "Innertron: New methodology of facial recognition, Part I." Intelligent Information Processing and Web Mining. In Proceedings of the Intelligent Information Processing Symposium,, Springer, Berlin, Heidelberg (IIS 2005). (pp. 1 – 9), 13th – 16th June, Gdansk, Poland: 2005.

Journals & Invited Papers

  1. R. Lewis, B. Parks, D. Shmueli, and A. M. White. “Detecting Epileptogenesis in Power Variant Domains.”Journal of Control and Cybernetics, (JC&C). Eds. M. Klopotek, A. Ioffe, K. Malanowski and F. Troeltzsch, (Vol 40, pp. 293–314), 2011.
  2. T. E. Boult, A. T. Chamillard, R. Lewis, N. Polok, G. Stock, D. Wortman. "Innovations in University Education in Innovation: Moving Beyond the B.S."International Journal of Innovation Science, (IJIS). (Vol.1 no 4, pp.167-178), Feb. 2010.
  3. R. Lewis, C. Mello, A. Brooks-Kayal, J. Carlsen, H. Grabenstatter, and A. M. White. "Autonomous neuro Clustering of Pathologic Oscillations Using Discretized Centroids." InConference: 8thsup> International Conference on Mass Data Analysis of Images and Signals with Applications in Medicine,, (MDA ‘13). (pp. 12-23), 13th – 16th July, New York City, NY, 2013.
  4. R. Lewis, X. Zhang, and Z. Raś. MIRAI: Multi-hierarchical FS-Tree Based Music Information Retrieval System. (Invited Paper) LNAI Springer, inProceeding of Rough Sets and Intelligent Systems Paradigms., (RSEISP ‘07). (pp. 28–30), June, Warsaw Poland 2007.
  5. R. Lewis, Z. Raś : “Facial recognition”,Idea Group, Inc., 2008, John Wang (Ed.): Encyclopedia of Data Warehousing and Mining – 2nd Edition, (EDW&M). (Vol. II, pp. 857-862), 2008.
  6. R. Lewis, X. Zhang, and Z. Raś. “Knowledge Discovery Based Identification of Musical Pitches and Instruments in Polyphonic Sounds.”International Journal of Engineering Applications of Matricidal Intelligence, (Journal). Elsevier ISSN:0952-1976, (Vol. 20, No. 5, pp. 637–645), August 2007.

Invited Speaker

  1. Speaker & Moderator. 2nd Annual Autonomous Capabilities for DoD. Exploiting Autonomy for Mission Success, 19th – 20th September, 2018 | Alexandria, VA.
  2. Keynote Speaker. The Convergence of Artificial Intelligence and the Internet of Things, 28th – 29th November, 2018 | Crowne Plaza, Palo Alto, CA.

For full CSV go to main web page https://www.rorylewis.com