RORY LEWIS

Program Director: Masters of Computer Science
Associate Professor. Computer Science and Bachelor of Innovation
Engineering Building, Room 188
University of Colorado at Colorado Springs
1420 Austin Bluffs Parkway
Colorado Springs, CO 80918
Email rlewis5[at]uccs.edu  

Dr. Lewis is the Program Director of the Masters of Computer Science. He is the recipient of numerous Outstanding Achievement: Teacher of the Year awards at the College of Engineering, Computer Science. He is the recipient of the Diversity & Inclusiveness Award; “Innovations in Scholarship for Inclusiveness". He is the recipient of Outstanding Achievement: Inventor of the Year University of Colorado, for his innovative work in computational neuroscience. He is the recipient of the prestigious Daniels Fund Ethics Initiative Faculty fellowship. He has also served on NSF and NIH panels selecting recipients for research funding in Artificial Intelligence, Computational Neurosciences, Robotics in Medicine, particularly in neurosurgery and Robotic Sentience.


Dr. Lewis has delivered keynote addresses at i)The Sixth International Conference on Neuroscience & Cognitive Brain Information BRAININF0, Nice, France. The Role of Computational Neuroscience Machine Intelligence in Sentience, Common Sense and Artificial Consciousness. Nice, France, 2021. ii) The Convergence of Artificial Intelligence and the Internet of Things. The role of DNNs, GPUs and artificial consciousness on the future of the IoT. Nov 28-29, 2017 Palo Alto, CA, where Eric Schmidt, CEO of Google, was in the audience, and at iii) The 2nd Annual Autonomous Capabilities for DoD Summit Sept 19-20, 2018 in Maryland where he addressed Deputy Chief of Staffs, generals and high level DoD officials on Artificial Intelligence and Medical Robotic Sentience, comparing research in these areas in academia and industry compared to the DoD. see here.


Dr. Lewis conducts his research at both the University of Colorado's Colorado Springs campus and the neuroICU ward at the Anschutz Medical School campus. He has also worked at Warsaw University and the Pentagon where he has Secret Clearance and is a Senior Research Fellow in machine learning systems for Intelligence Surveillance & Reconnaissance (ISR) Military AI in Medical Instruments for the field. 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 above


The Solvay International Conference

This photo of the attendees at 5th Solvay International Conference in October 1927 is highly regarded as the "most intelligent picture ever taken.""

Founded by the Belgian industrialist Ernest Solvay, this 5th conference is considered as the turning point as the world’s most notable physicists met to discuss the newly formulated quantum theory. The leading figures were Albert Einstein and Niels Bohr

17 of the 29 attendees were or became Nobel Prize winners. Back: Auguste Piccard, Émile Henriot, Paul Ehrenfest, Édouard Herzen, Théophile de Donder, Erwin Schrödinger, JE Verschaffelt, Wolfgang Pauli, Werner Heisenberg, Ralph Fowler, Léon Brillouin.Middle: Peter Debye, Martin Knudsen, William Lawrence Bragg, Hendrik Anthony Kramers, Paul Dirac, Arthur Compton, Louis de Broglie, Max Born, Niels Bohr. Front: Irving Langmuir, Max Planck, Marie Curie, Hendrik Lorentz, Albert Einstein, Paul Langevin, Charles-Eugène Guye, CTR Wilson, Owen Richardson.

Rory A. Lewis JD PhD

Associate Professor, University of Colorado at Colorado Springs
Engineering Building Room 188, 1420 Austin Bluffs Parkway

Colorado Springs CO 809933-7150, 719.255.3149

A. PROFESSIONAL PREPARATION
Syracuse University
Computer & Electrical Engineering
B.S.
1993
Syracuse University College of Law
Law
J.D
1996
University North Carolina at Charlotte
Computer Science
Ph.D
2008


B. ACADEMIC APPOINTMENTS
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.

C. PEER-REVIEW PUBLICATIONS
55
K. Nesterenko, R. Lewis. “Rough Sets for Intelligence on Embedded Systems".26th International Symposium on Methodologies for Intelligent Systems , (ISMIS 2022). October 3rd – 5th Cosenza, Italy, 2022. Pending.
54
K. Nesterenko, R. Lewis. “Rough Set KNN & FRNN on an Embedded System".17th Conference on Computer Science and Intelligence Systems , (FedCSIS 2022). IEEE #54150. September 4th – 7th Sofia, Bulgaria, Pending. 2022
53
V. Banerjee, R. Rabinowitz, M. Stidd, R. Lewis, P. N. Brown, G. Bloom. “The Tragedy of the Attacking Miners".IEEE Consumer Communications & Networking Conference, (CNCC 2022). January 8th – 11nd Las Vegas, NV, 2022.
52
C. Hendrix, R. Lewis. “Blockchain Privacy Challenges: A Path Forward".2nd International Workshop on Blockchain and Enterprise, (CEUR 2021). Novemberth – 25th Riga, Latvia, 2022.
51
M. Bihn, R. Lewis. “Synthesis of Neonate Connectomes for Artificial Sentience and Common Sense”.The 6th International Conference on Neuroscience and Cognitive Brain Information, (BRAININFO 2021). July 18th – 22nd Nice, France, 2021.
50
R. Lewis. “Rough Set & Riemannian Theory for Mining the Multidimensionality of Artificial Consciousness.” The 10th International Conference on Web Intelligence, Mining and Semantics, (WIMS 2020). (DPLB and ACM) June 30th – 3rd July, Casino Barrière, Biarritz, France, 2020
49
R. Lewis. “Chinese Artificial Intelligence in Space Wars” 5th International Conference on Artificial Intelligence and Applications. , (AI2019,). 29th Nov - 01st Dec, Dubai, UAE, 2019.
48
R. Lewis. “A Semantic Calculus: Common Sense Reasoning for Information Systems” 11th International Conference on Information Management and Engineering , (ICIME '19). 19th – 21st September. British Computer Society at London Southbank and organized by the International Academy of Computing Technology (IACT), (paper)London, UK, 2019
47
R. Lewis. “A Logical Theory Towards an Invariant Phenomenological State of Artificial Consciousness.” International Conference on Artificial Consciousness, (ICAC ‘19). Recipient of Best Presentation Award 22nd – 23rd April, New York, NY, 2019.
46
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.
45
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.
44
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.
43
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.
42
R. Lewis, M. Bihn. “Cerebral Vasospasm Decision Support System for Neurosurgeons.”The 2017 International Conference on Computational Science and Computational Intelligence, (CSCI ‘17). 14th – 16th December, Las Vegas, Nevada, 2017.
41
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). 14th – 16th December, Las Vegas, Nevada, 2017.
40
R. Lewis, C. Mello, Y. Zhuang, M. K. -C. Yeh, Y. Yan, D. Gopstein. “Visually Discerning Neurological Functionality During Intense Versus Trivial Thought Processes.The 13th International Symposium on Medical Information Processing and Analysis, ( SIPAIM '17') poster. 5th – 7th October, San Andres Island, Colombia, 2017.
39
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.
38
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.
37
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.
36
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.
35
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.
34
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.
33
R. Lewis. “Neuroscience Rough Set for Credit Risk Analysis of Branchless Banking Subprime Loans.”The 21stsup> International Symposium on Methodologies for Intelligent Systems, (ISMIS '14). (pp. 536 – 541), 25th – 27th June, Roskilde, Denmark, 2014.
32
R. Lewis, J. Ellenberger, C. Williams and A. M. White. “Investigation into the Efficacy of Generating Synthetic Pathological Oscillations for Domain Adaptation.” In Proceedingsof 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.
31
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
30
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.
29
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.
28
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 – 2nd December, San Diego, CA, 2012.
27
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.
26
R. Lewis and A. Waziri. “minedICE™: A Knowledge Discovery Platform For Neurophysiological Artificial Intelligence.” InProceedings 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.
25
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.
23
R. Lewis, B. Parks, and A. M. White. Determination of Epileptic Seizure Onset From EEG Data Using Spectral Analysis and Discrete Finite Automata. InProceedings of the 2010 IEEE International Conference on Granular Computing, (GrC ’10). (pp. 277-282), 14th – 16th August, San Jose, CA, 2010.
22
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.
21
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.
20
R. Lewis and A. M. White. “Seizure Detection Using Sequential and Coincident Power Spectra with Deterministic Finite Automata.” InProceeding of Bioinformatics and Computational Biology, (BIOCOMP ‘10). (Vol. I, pp. 481–488), 12th – 15th July, Las Vegas, Nevada, 2010.
19
R. Lewis, D. Shmueli, and A. M. White. “Deterministic Finite Automata in the Detection of EEG Spikes and Seizures.” InProceedings of The Joint Venture of The Ninth International Symposium on Intelligent Data Analysis, (IDA ‘10). (pp. 103–113), 19th – 21st May, Tucson, Arizona 2010.
18
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.
17
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.
16
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.
15
R. Lewis, A. Cohen, W. Jiang, and Z. Raś. “Hierarchical Tree for Dissemination of Polyphonic Noise.” InProceedings 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. Oct. 22nd, Akron Ohio, 2008.
14
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 20th - 23rd, Toronto, Canada, 2008.
13
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.
12
R. A. Lewis and A. Wieczorkowska. “Categorization of Musical Instrument Sounds Based on Numerical Parameters.” Conceptual Structures: Knowledge Architectures for Smart Applications, inProceedings of 15th International Conf. on Conceptual Structures,, (ICCS ‘07). (Vol. 3, pp. 87-93), (Vol. 3, pp. 87-93), 2007.
11
Rory A. Lewis, Alicja Wieczorkowska. “Parameter-Based Categorization for Musical Instrument Retrieval.” InMarzena Kryszkiewicz, James F. Peters, Henryk Rybinski, Andrzej Skowron, (Eds) Proceedings. of Rough Sets & Intelligent Systems Paradigms, International Conference, Lecture Notes in Computer Science, Springer (RSEISP ‘07). (Vol. 4585, pp. 784-792 ), 28th – 30th June, Warsaw, Poland, 2007.
10
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.
9
R. Lewis and Z. Raś. “Rules for Processing and Manipulating Scalar Music Theory.” IEEE Computer Society inProceedings of the International Conference on Multimedia and Ubiquitous Engineering, (MUE’07). (pp. 819–824), 26th – 28th April, Seoul, Korea, 2007.
8
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.
7
A. Wieczorkowska, Z. Raś, X. Zhang, and R. Lewis. “Multi-Way Hierarchic Classification of Musical Instrument Sounds.” Multimedia and Ubiquitous Engineering in Seoul, Korea, inProceedings of the IEEE CS Int. Conf. on Multimedia and Ubiquitous Engineering, (MUE ‘07). (pp.897–902), 26th – 28th April, Seoul, Korea, 2007
6
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.
5
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.
4
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.
3
R. Lewis and Z. Raś. "Innertron: New methodology of facial recognition, Part II." Intelligent Information Processing and Web Mining. InProceedings of the Intelligent Information Processing Symposium,, Springer, Berlin, Heidelberg (IIS 2005). (pp. 625 – 632), 13th – 16th June, Gdansk, Poland: 2005.
2
R. Lewis and Z. Raś. "Innertron: New methodology of facial recognition, Part I." Intelligent Information Processing and Web Mining. InProceedings of the Intelligent Information Processing Symposium,, Springer, Berlin, Heidelberg (IIS 2005). (pp. 1 – 9), 13th – 16th June, Gdansk, Poland: 2005.
1
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.

JOURNALS & INVITED PAPERS
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.
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.
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.
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.
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.
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
KEYNOTE/PLENARY ADDRESS. | 6th International Conference on Neuroscience and Cognitive Brain Information, (BRAININFO 2021). "The Role of Computational Neuroscience Machine Intelligence in Sentience, Common Sense and Artificial Consciousness.," International Academy, Research, and Industry Association. July 18th – 22nd, 2021 Nice, France.
KEYNOTE & MODERATOR | 2nd Annual Autonomous Capabilities for DoD. Exploiting Autonomy for Mission Success (DSI 2018), 19th – 20th September, 2018 | Alexandria, VA.
KEYNOTE/PLENARY ADDRESS. | The Convergence of Artificial Intelligence and the Internet of Things, 28th – 29th November, 2018 | Crowne Plaza, Palo Alto, CA.

INTELLECTUAL PROPERTY
T. E. Boult, R Lewis.”International Symp. on Methodologies for Intelligent Sys. Foundations of Intelligent Systems, M. S. Hacid et al. (Eds.), LNAI, Springer (USPTO). U.S. Patent App. 12/980,899, 2011.

D. SYNERGISTIC ACTIVITIES

ACHIEVEMENTS
Recipient of Outstanding Achievement: Teacher of the Year. College of Engr (Student Vote), 2019.
Recipient of Outstanding Achievement: Teacher of the Year. College of Engr (Student Vote), 2019.
Recipient of Daniels Fund Ethics Initiative Faculty fellowship, 2019.
Recipient of Fellow for One-Year Sabbatical Research with USAF and Pentagon Classified AI, 2017
Recipient of Outstanding Achievement: Teacher of the Year. College of Engr (Student Vote), 2018.
Designed and implemented AI for Greg LeMond Inc. 2015.
Designed and implemented AI for SKY Cycling team. 2016.
Designed and implemented AI for United States Olympic Committee. 2014.
Recipient of Outstanding Achievement: Teacher of the Year. College of Engr, Computer Science, 2012.
Recipient of Outstanding Achievement: Inventor of the Year CU. University of Colorado, 2011.
Designed and implemented AI in Neurosurgery Dept. at UC Denver Anschutz Medical School 2010 – 2016.
Recipient of the “Innovations in Scholarship for Inclusive Excellence” (ISIE) grant. This grant addresses topics of diversity and inclusiveness. UCCS 2009.
Published author of an Apress signature iOS series of seven books, "Beginning iOS Storyboarding: Using Xcode" "iPhone and iPad Apps for Absolute Beginners" used in colleges world-wide and translated into three languages.
• Lewis, R. A., & Mello, C. (2013). iPhone and iPad Apps for Absolute Beginners iOS SDK 6. Apress/Springer (Book 1 of 5)
• Lewis, R. A. (2013). iPhone and iPad Apps for Absolute Beginners, iOS 7 Edition. Apress/Springer (Book 2 of 5)
• Lewis, R. A., McCarthy, Y., & Moraco, S. M. (2012). Beginning iOS Storyboarding. Apress/Springer https://doi.org/10.1007/978-1-4302-4273-4 (Book 3 of 5)
• Lewis, R. A. (2012). iPhone and iPad Apps for Absolute Beginners, iOS 5 Edition. Apress/Springer (Book 4 of 5)
• Lewis, R. A. (2010). iPhone and iPad Apps for Absolute Beginners. Apress/Springer (Book 5 of 5)

PROGRAM COMMITTEE MEMBERSHIPS | JOURNALS
Journal of Intelligent Information Systems, Integrating Artificial Intelligence and Database Technologies (JIIS 2016).
Journal of Intelligent Information Systems (JIIS 2013).
Engr App. of AI, Int. Journal of Intelligent Real-Time Automation (EAAI 2012).
Journal of Convergence IT by the Advanced Institute of Convergence IT Technology (JCIT 2011).
International Journal of Advancements in Computing Technology (IJACT 2010).
The Journal of Intelligent Systems Conferences & Fundamental Information Journal (ISCFI 2009).

PROGRAM COMMITTEE MEMBERSHIPS | PROCEEDINGS
The 26th International Symposium on Methodologies for Intelligent Systems (ISMIS 2022).
The 6th International Conference on Machine Learning, Optimization (LOD 2020).
The 25th International Symposium on Methodologies for Intelligent Systems (ISMIS 2020)
The 1st International Conference on Data Intelligence and Security. (ICDIS 2018).
28th Modern Artificial Intelligence and Cognitive Science Conference. (MAICS 2017).
International Joint Conference on Rough Sets (IJCRS 2016).
22nd International Symposium on Methodologies for Intelligent Systems. (ISMIS 2015).
International Conference on Web Intelligence and the 2014 Web Intelligence Congress (BIH 2014).
21st International Symposium on Methodologies for Intelligent Systems (ISMIS 2014).
9th International Seminar on Medical Information Processing and Analysis (SIPAIM 2013).
5th International Conference on Intelligent Decision Technologies (IDT 2013).
The 2012 International Conference on Information and Knowledge Engineering (IKE 2012).
IPC/IBR, 2nd Asian Conf. on Intelligent Information & Database Systems (ACIIDS 2010).
IEA-AIE, 22nd Intl Conf. on Industrial, Engineering & Applied Intelligent Sys. (IEA-AIE 2009).
18th International Symposium on Methodologies for Intelligent Systems (ISMIS 2009).
IEEE ICDM International Workshop on mining complex data (MCD 2008).
17th International Symposium on Methodologies for Intelligent Systems (ISMIS 2007).
Intelligent Information Systems, MCD - Mining Complex Data (IIS 2006).

UNIVERSITY OF COLORADO | ADMINISTRATIVE ASSIGNMENTS
Program Director: Master’s Degree Program Computer Science. College of Engr, 2010 - Present.
Task Force: University of Colorado Spring's. Rewriting the Professional Rights and Responsibilities of Faculty Members and Roles and Professional Responsibilities of Academic Leaders (PRR). Nov 2020 - April 2022.
Chair Hiring Committee. Computer Science Tenure Track. Feb 3 – March 15, 2022.
Chair Hiring Committee. Computer Science Tenure Track. Jan 21 – Feb 21, 2021
UC Board of Regents: Space War Preparation Center (SWPC), Organization, Director, 2019.
Chair Hiring Committee. Computer Science Tenure Track. Nov 1 – Dec 12, 2020.
Conference on SEO working with EAS Dean to Conference to UCCS (2009).

UNIVERSITY OF COLORADO | COMMITTEES
Computer Science Department: Chair Hiring Committee, Software Engr. Tenure Track (Aug 2021).
Computer Science Department: Chair Hiring Committee, Cyber Security Tenure Track (2020).
College of Engineering: Committee on Research and Creative Works CRCW (2019).
University of Colorado: Director Space War Preparation Center SWPC (2019 - 2020).
College of Engineering: Committee for Bachelor of Arts Computer Science Degree (2019-2020)
STEM & Diversity: Computational neuroscience. Tours and Lectures to Anschutz Medical School (2017 - 2019).
College of Engineering: Hiring Committee Dean EAS (2019).
College of Engineering: Chair Hiring Committee, DAZE Curriculum Committee (2019).
College of Engineering: Gallogly Chair Hiring Committee (2019).
Computer Science Department: Faculty Hiring Committee (2018)
Computer Science Department: Multi-disciplinary Committee for Systems Degree (2017).
Computer Science Department: Faculty Hiring Committee (2016).
Computer Science Department: Chair: Library Committee (2008 - 2015).
Computer Science Department: Equipment Purchasing Committee (2014).
Computer Science Department: Chair: Masters’ Degree Program (2012 - Present).
Conceptualized, presented and worked with EAS Dean to (SEO) Conference to UCCS (2009).

SPONSORING | COMMITTEES
National Science Foundation (NSF): Served on 56NSF Committees. CISE. SBIR/STTR and IIS: SCH
National Institute of Health: Served on 3 NIH Committees. IIS: SCH
Department of Defense: Served on 2 DOD Committees. USAF/WEdge. ISR. Secret-Clearance-Level

AFFILIATIONS | COLLABORATORS
Alayna Kennedy
Undergraduate Student. REU. Bio Engineering, Pennsylvania State University. 
Alicja Wieczorkowska
Prof. Polish-Japanese Academy of Information Technology, Warsaw. 
Allen Waziri
M.D., Neurosurgeon / Clinical Researcher, Anschutz. 
Amanda Cohen
PhD Student. Computer Science, University of North Carolina. 
Amy Brooks-Kayal
M.D., Prof. of Ped. & Neurology, Sect. Head, Child Neurology - Anschutz Medical Campus. 
Andrew M. White
M.D., Assoc. Prof. Dir. of Pediatric Neurology at Denver’s Health Medical Center. 
Andrez Skowron
Prof. Dean, Mathematics and Computer Science at Warsaw University. 
Biswajit Sarmah
Prof. Jorhat Engineering College, Jorhat, Assam, India. 
Brian Parks
PhD Student. Computer Science, University of Colorado Colorado Springs. 
Chad Mello
PhD Student. Computer Science, University of Colorado Colorado Springs. 
Constance Hendrix
PhD Student. Computer Science. University of Colorado Colorado Springs
Dan Gopstein
PhD Student. Tandon School of Engineering, New York University, New York, New York. 
Dhruba Bhattacharya
Prof. Computer Science, Tezpur University, Tezpur, Assam, India. 
Doran Shmueli
Post-Doctoral Fellow. Adult Epilepsy Div. at U of Colorado School of Medicine. 
Dorottya Cserpan
Post-Doctoral Fellow. Neuropharmacology Group, Hungarian Academy of Sciences, Hungary. 
Gedare Bloom
Assist Prof. Dept. Computer Science, University of Colorado Colorado Springs
Heidi Grabenstatter
Post-Doctoral Fellow SOM-PEDS - Anschutz Medical Campus. 
Jessica Carlsen
Post-Doctoral Fellow SOM-PEDS - Anschutz Medical Campus. 
Jugal Kalita
Prof. Dept. Computer Science, University of Colorado Colorado Springs. 
Kamal Kamalaldin
Undergraduate Student. REU. Kalamazoo College, Kalamazoo Michigan. 
Katarina Nesterenko
PhD Student. Computer Science. University of Colorado Colorado Springs.
Mark Spitz
M.D., Assoc. Prof. Dir. of Pediatric Neurology at Denver’s Health Medical Center. 
Mark Stidd
PhD Student. Computer Science. University of Colorado Colorado Springs
Martin K. -C. Yeh
Asst. Prof. School of Information Sciences & Technology, Penn State Brandywine, Media, Pennsylvania 
Michael Bihn
PhD Student, Computer Science, University of Colorado Colorado Springs. 
Peter Erdi
Prof. Neuropharmacology Group, Hungarian Academy of Sciences, Hungary. 
Philip Brown
Assist Prof. Dept. Computer Science, University of Colorado Colorado Springs.
Piotr Synak
Asst. Prof. Polish-Japanese Academy of Information Technology, Warsaw. 
Ron Broberg
PhD Student. University of Colorado Colorado Springs. 
Ryan Rabinowitz
PhD Student. Computer Science. University of Colorado Colorado Springs.
Somogyvari Zoltan
Assoc. Prof. Neuropharmacology Group, Hungarian Academy of Sciences, Hungary. 
Terrance. E Boult
Prof. Computer Science, University of Colorado Colorado Springs. 
Vijay Banerjee
PhD Student. Computer Science. University of Colorado Colorado Springs
Wishuan Jiang
PhD Student. Computer Science. University of North Carolina. 
Xing Zhang
PhD Student. Computer Science. University of North Carolina. 
Yanyan Zhuang
Assist Prof. Dept. Computer Science, University of Colorado Colorado Springs
Yu Yan
Department of Learning & Performance Systems, Penn State University, University Park, Pennsylvania. 
Zbigniew Raś
Prof. Habilation. University of North Carolina Charlotte. 
Zsolt Borhegyi
Assoc. Prof. Neuropharmacology Group, Hungarian Academy of Sciences, Hungary. 

AFFILIATIONS | GRADUATE ADVISOR
Zbigniew Raś
Prof. Habilation. Dir. KDD Lab. University of North Carolina Charlotte. 

AFFILIATIONS | THESIS ADVISOR & POSTGRADUATE SCHOLAR SPONSORS
PhD Students
Constance Hendrix, David Vadnais, Taniza Sultana, Katrina Nesterenko, Zanyar Zohourianshahzadi, Chad Mello, Chris Hammond, Matt Doman, Michael Bihn, Benjamin Garcia and James Ellenberger.
Masters Students
Supriya Krishnappa, Helen Huang, Brandon Archuletta, Chad Credeur, Ali Al Shami, Bhakti Mehta, Maadh Hmosze, Gabriel Jordan, Nicholas Johnson, Ashely Whiteside, Gabriel Jordan, David Stites, Chad Mello, Devon Bryant, Daniel Ruiz, Colton Williams and Kelly McMurtrey.

E. RESEARCH SUPPORT

RESEARCH SUPPORT | PENDING
Lewis, R. A. (Principal), EFRI BRAID: "Ultra-Low-Power Self-Learning Model Using Aa Synaptic-Based Connectomic Neuromorphic Morphology," Sponsored by NIH, Federal, $1,608,138. (08/01/22 - 08/01/26)
Lewis, R. A. (Principal), "Oxygen-Guided Radiation Therapy," Sponsored by NIH, Federal, $400,000.00. (01/01/22 - 12/30/23)
Lewis, R. A. (Principal), "An Intelligent Computational Neuroscience Infrastructure," Sponsored by NSF, Federal, $3,412,658.00.)
Lewis, R. A. (Principal), "IIS 1430339 CRCNS: Robust Intelligence for Neurosurgery Intensive Care Unit.," Sponsored by NIH, Federal. $830,000.

RESEARCH SUPPORT | CURRENT
Lewis, R. A. (Principal), Boult, T. (Co-Principal), Phase II "Multivariate Algorithms for Optimized Test Heuristics and Real-time Analysis (MAOTHRA)," Sponsored by MSCI, Federal, $297,250.00.
Lewis, R. A. (Co-Principal), Boult, T. E. (Principal), Benight, C. C. (Co-Principal), "Collaborative Research: Learning and Sensory-based Engagement, Arousal and Self-Efficacy (EASE) modeling for Adaptive Web-Empowerment PTSD Trauma Treatment," Sponsored by NSF, Federal, $1,803,590

RESEARCH SUPPORT | COMPLETED
Lewis, R. A. (Principal), Boult, T. (Co-Principal), Phase I "Multivariate Algorithms for Optimized Test Heuristics and Real-time Analysis (MAOTHRA)," Sponsored by MSCI, Federal, $297,250.00.
Lewis, R. A. (Co-Principal), Walcott-Justice, K. R. (Co-Principal), Kalita, J. K. (Principal), Yi, Q. (Co-Principal), Boult, T. E. (Co-Principal), “Research Experiences for Undergraduates Sites,” Sponsored by National Science Foundation, University of Colorado Colorado Springs, (June 1, 2014 - May 31, 2017). $375,905.00.
Lewis, R. A. (Principal), “Artificial Intelligence for Long Distance Elite-Level Females”, , USOC United States Olympic Committee. (2012 - 2013). $70,000.00.
Lewis, R. (Principal), “Online Support Network for Users with Dependencies, ” Sponsored by NSF, Small Business Technology Transfer (STTR). University of Colorado Colorado Springs, (2009 - 2010). $150,000.00.
Lewis, R. (Principal), “Innovations in Scholarship for Inclusive Excellence,” (2009) UCCS (INTERNAL) (ISIE) grant. $10,000.00.

RESEARCH SUPPORT | SPONSORED PROJECT
Model-Based Simulation for System of Systems Engineering. Harrison, W. K. (Co-Principal), Ketsdever, A. D. (Principal), Lewis, R. A. (Co-Principal), Cascaval, R. C. (Co-Principal), Lauderbaugh, L. K. (Co-Principal), Johnson, S. B. (Co-Principal). Sponsored by AMRDEC/MDA, Federal, (August 1, 2014 - December 31, 2014). $94,409.00.

F. TEACHING
TEACHING | UNIVERSITY OF COLORADO | COLORADO SPRINGS CAMPUS
CS 4420/5420
Database Systems.
CS 3060
Object Oriented Programming with C++.
CS 1450
Data Structures.
CS 1150
Java, Principles of Computer Science.
CS 5450
KDD Apps in Neuroscience.
INOV 1010
Bachelor of Innovation Lab.
INOV 2100
Technical Writing, Proposals and Presentations.
BLAW 2010
Bus/Intellectual Property Law.
CS 2010
iPhone iOS: Objective C.
CS 5060
Selected Topics in Biometrics.

TEACHING | UNIVERSITY OF COLORADO | ANSCHUTZ MEDICAL SCHOOL CAMPUS
AI Updates
Dept's fo Neurology and Pediatrics. Workshops to use our latest versions in-house software.

TEACHING | UNIVERSITY OF COLORADO | DENVER CAMPUS
CSCI 4802/5802
iPhone and iPad Programming

TEACHING | COMPUTER SCIENCE
Ethics for Engineers
Database Systems
Data Structures
Object Oriented Programming with C++
Fuzzy & Rough Set Theory Data Mining
KDD Apps in Neuroscience
SEO
Objective C
Database Security
Java
Logic and Design (Java & C#)
SQL Server
Data Structures
C#
Statistics for Decision Making
C++ Object-Orientated Programming
Managerial Mathematics
Networking Concepts and App
Business & eCommerce
Internet-Oriented Programming
SQL & ASP in .NET
Database Apps in Commerce
Database Concepts
Decision Support / Expert Systems

TEACHING | MBA
Business Law
Database Essentials For Decision Making
Principles of Information Security & Privacy
Managing Information Technology
Systems Analysis Planning & Control
Information Security Law
Business Ethics
Strategic Management of Technology

TEACHING | EXPERIENCE
University of Colorado at Colorado Springs
Department of Computer Science, Colorado Springs, CO 2008 - Present
University of Colorado at Denver
Department of Computer Science, Denver, CO 2010 – 2010
Catawba College
Private Liberal Arts College, Charlotte, NC 2007 - 2008
University North Carolina at Charlotte
School of Electrical & Computer Engineering, Charlotte, NC 2003 - 2008
University North Carolina at Charlotte
Belk College of Business, Charlotte, NC 2007 - 2008
Bank of America/Keller Grad. School of Mgmt.
Executive MBA Program for Bank of America, Charlotte, NC 2002 - 2008
Providence High School
High School Math Teacher, Charlotte, NC 2001 - 2002

G. PROFESSIONAL MEMBERSHIPS
Association for Computing Machinery (ACM) Four ACM Special Interest Groups (SIGs): 1) Computer Applications | Life and Medical Sciences, 2) Computing Methodologies | Artificial Intelligence, 3) Mathematics of Computing | Discrete Mathematics, Mathematical Software, Numerical Analysis, Probability and Statistics, 4) Theory of Computation, Mathematical Logic and Formal Languages, and 5) Other | Artificial Consciousness & Sentience. ACM Membership Certificate October 2011 – Present.
Institute of Electrical and Electronics Engineers (IEEE), The Institute of Electrical and Electronics Engineers is a professional association for electronic engineering and electrical engineering. My undergraduate Degree was in MicroprocessorElectrical Engineering (Syracuse University) and I combine Computer Science with embedded systems, (published in IEEE) to help DoD organizations create humanoids with sentience. Two IEEE Special Interest Groups (SIGS) 1) Robotics and Automation | Technical focus: Sensing and Perception, 2) Computational Intelligence | Application And Implementation Of Computational Intelligence & Robotic Sentience (Artificial Consciousness).

H. PROFESSIONAL EXPERIENCE
Advisory Board Member and Director of Artificial Intelligence ENVEL Bank. an Artificial Intelligence enabled challenger bank created to address the needs of Generation Z and younger Millennials. https://www.envel.ai/team 2019 – Present
Director: Space War Preparation Center (SWPC), Harris Corporation, DoD & Board of Regents University of Colorado. 2019 – Present.
RAND Corporation. Researcher and Advisor. Scientific and legal parameters of AI and ML in DOD 2017 – Present.
Warfighters Edge Research Laboratories. Fellow. Classified AI and ML Research for Pentagon. USAF 2017 – Present.
Holland & Hart. LLP: Statistical-Legal Analyst: Work with Charles R. Lucy Esq. Formulate algorithms, find patterns where opposing counsel tried to hide evidence and then present my findings to the partners at Holland & Hart. Colorado Springs, CO 2009 - 2012
Pulte. Fortune 500: Senior Executive Consultant: Developed, negotiated and implemented nationwide C++, Java, .ASP application to interact accounts payables servers with scheduling, field personnel and field servers. Charlotte, NC 1999- 2000.
Global Crossings Fortune 500: Senior Government Liaison: Conducted, prepared and scheduled meetings interacting VI Gov. officials with SAP, SAS, Cisco and IBM/Apache Server Executives. Drafted contracts and amendments. Prepped Government on the technology and set financial transfer protocol. St. Thomas, VI, 1999 – 1999.
Baikowski. Private Executive Contractor: Worked with CEO, Floyd McClung: Technical advisor in litigation with France-based affiliate. Slurry technology for VLSI fabrication post litigation options/$; and present value of IP. Secured contract for Venture Capital in a secondary market as part of settlement procedures. Charlotte, NC 1999 - 1999.
Dougherty & Dremann LLP. Associate: Law Firm: Set up eCommerce s-corps, off-shore enterprises, SAS and SAP eCommerce ERPs. Worked with programmers patenting and copyrighting eProms, VLSI, Java, C/C++ programs into patentable mathematical algorithms. Advised clients on emerging technologies. Charlotte, NC 1997 - 1999.
Skjervan Morrill MacPherson Friel LLP. Law School: Legal Counsel: Continuation of AMD v. Intel Litigation: Microprocessor electrical circuit analysis for senior partners in microprocessor litigation. Member of Venture Capital team: Duties included financial modeling for high tech intellectual property. Evaluation of investment opportunities. Financial analysis reports & identification of high tech of risks and opportunities. San Francisco, CA 1995 - 1997
Fulbright & Jaworski LLP. Law School,(now Norton Rose LLP). Legal Counsel: AMD vs. Intel: High Tech Litigation. Patent rejections involving microprocessor electrical circuits and electronics. email security. Domain Squatting and Black Hat SEO litigation. Devised deposition strategy to prove Intel engineers stole microprocessor Intellectual Property. Austin, TX 1994 - 1995.

I. CONNECTIONS AND PARTNERSHIPS
a. Relationship-building, Patty Jewett Golf Club Member's Business Group., COLORADO SPRINGS, CO. (June 29, 2021)
b. Peak Producers of Colorado Springs, COLORADO SPRINGS, CO. (May 20, 2021).
c. Relationship-building, Patty Jewett Golf Club Member's Business Group., COLORADO SPRINGS, CO. (September 17, 2020).
d. Relationship-building, Colorado Springs Chamber of Commerce & EDC, COLORADO SPRINGS, CO. (December 18, 2019).
e. Funding, Space War Preparation Center, COLORADO SPRINGS, CO. (January 2019).