RORY LEWIS JD PhD

Program Director: Master of Science in Computer Science
Associate Professor, Artificial Intelligence | Computer Science
Engineering Building, Room 188
University of Colorado at Colorado Springs
1420 Austin Bluffs Parkway
Colorado Springs, CO 80918
Email rlewis5[at]uccs.edu  

For the past eight years, Dr. Rory A. Lewis has pursued a long-term research program aimed at one of artificial intelligence’s most consequential challenges: how to protect humanity as increasingly powerful AI systems become embedded in human decision making. His research is developing an independent, brain-inspired neuromorphic system that operates alongside, but remains computationally separate from, generative, adaptive, and agentic artificial intelligence. Rather than building another AI to supervise AI, the architecture Dr. Lewis has been creating draws upon human metacognition: our ability to observe our own cognition and recognize when a thought, conclusion, or impulse should be questioned. Combining neuromorphic computing, developmental connectome modeling, synthetic synaptogenesis, Fuzzy Logic, Rough Sets, and formal logic, the system independently observes human–AI interactions and produces a graded warning when AI-generated information, advice, or behavior warrants human reconsideration. The ultimate objective is straightforward but profound: to preserve human judgment and provide an independent neuromorphic safeguard between increasingly autonomous artificial intelligence and humanity.  See here


Dr. Lewis is the Program Director of the Master of Science in Computer Science and a senior researcher in artificial intelligence, physical AI, neuromorphic computing, robotics and autonomous systems, healthcare AI, computational neuroscience, and intelligent decision support. Throughout his career he has deliberately combined academic research with industry and government collaborations, applying artificial intelligence to real world problems across healthcare, defense, finance, and advanced engineering. His research has focused extensively on computational neuroscience, clinical decision support, neurophysiological signal analysis, biomedical machine learning, brain computer interfaces, and explainable AI developed in collaboration with neurologists, neurosurgeons, epilepsy researchers, and medical investigators at the University of Colorado Anschutz Medical Campus. Dr. Lewis has delivered more than 61 peer reviewed conference presentations and has served on 68 NSF and NIH review panels evaluating research in artificial intelligence, robotics, neurosurgery, computational neuroscience, and intelligent autonomous systems.


His contributions to healthcare AI and computational neuroscience were recognized with the University of Colorado System Outstanding Achievement Inventor of the Year Award for pioneering advances in artificial intelligence applied to intracortical brain implants, neurological event prediction, computational neuroscience, and medical machine learning. Among his best known research projects is minedICE™, a knowledge discovery platform developed jointly with Columbia University neurosurgeons, combining intracortical brain electrode technology with artificial intelligence to detect, classify, and predict pathological neurological activity directly from deep brain recordings. This work resulted in multiple peer reviewed publications in healthcare AI, biomedical signal processing, computational neuroscience, and intelligent systems. Additional information about both the Inventor of the Year award and the minedICE™ project is available on Dr. Lewis's Academic Highlights page.


Dr. Lewis' time in Special Forces led his research to Delta Force at MIT Lincoln Laboratory and Fort Bragg, the 10th Special Forces Group (Green Berets) in Colorado, ISR programs at the Pentagon, and federally funded research supporting State Department operators. He served as Co PI for the $891,750 Multivariate Algorithms for Optimized Test Heuristics and Real Time Analysis (MAOTHRA) project for the Test Resource Management Center (TRMC), optimizing C4I system testing and validating CRAD to Program of Record performance during live fire operational trials at Redstone Arsenal. Holding a Top Secret Sensitive Compartmented Information (TS SCI) clearance, his defense research has frequently intersected with healthcare and neuroscience, including AI for military medicine, neurologically inspired autonomous systems, artificial sentience, physical AI, military humanoid systems, self-learning architectures, computational neuroscience, and neuromorphic computing architectures designed to emulate biological intelligence for next generation defense systems. His neuromorphic research has progressed from mathematical models and GPU/CUDA implementations through self-learning FPGA prototypes and large-scale neuroCMOS/FPGA architectures. He also served as a Senior Research Scientist in AI at the RAND Corporation and as a Fellow at the Warfighters Edge Research Laboratories (USAF/Pentagon 2017–2021).


Dr. Lewis has delivered keynote presentations at international scientific and defense conferences including The Sixth International Conference on Neuroscience and Cognitive Brain Information (BRAININFO) in Nice, France, on AI driven sentience and common sense reasoning; The Convergence of Artificial Intelligence and the Internet of Things in Palo Alto, California, where he presented research on deep neural networks, GPUs, and artificial consciousness before an audience that included Google CEO Eric Schmidt; and the Second Annual Autonomous Capabilities for DoD Summit, where he briefed senior Department of Defense leadership on artificial intelligence, medical robotic sentience, and autonomous military systems. Across more than two decades of research he has authored over sixty peer reviewed scientific publications spanning artificial intelligence, healthcare AI, computational neuroscience, biomedical signal processing, machine learning, explainable AI, neuromorphic computing, artificial sentience, autonomous systems, intelligent systems, and high consequence decision support, while continuing to translate frontier AI research into practical systems for medicine, government, industry, and national defense.


Dr. Lewis’s expertise integrates advanced software engineering, AI/ML systems, physical AI and hardware/software prototyping, and high-performance computing across research and production environments, as well as system development and programming, developed in collaboration with many exceptionally gifted PhD students, past and present:

  • Python, C/C++, MATLAB, JavaScript (including Three.js), PHP, SQL, and modern web technologies, with advanced 3D visualization and simulation using Three.js and Vite for dynamic, interactive analytical environments.
  • End-to-end applied AI, deep learning and machine learning, spanning model training, evaluation, validation, and performance analysis, with deployment using PyTorch, TensorFlow, Keras, and scikit-learn.
  • High-performance computing and optimization through CUDA-based GPU programming and FPGA systems, enabling scalable, accelerated computation across CPU and GPU architectures, including self-learning FPGA and neuroCMOS/FPGA research prototypes.
  • Robust software engineering practices emphasizing modular design, backend integration (MySQL, JSON APIs, Node.js), and verification-driven development, translating complex research into reliable, maintainable production systems.

Across his career Dr. Lewis has built deep expertise in process engineering and AI enablement conducting business process discovery, documentation, and redesign; decomposing workflows and formalizing decision logic; and producing BPMN and DMN-style process and decision models at both the conceptual and executable levels. He has led the innovative retooling of legacy systems to enable agile delivery, architected AI-enabled decision automation and agent-assisted workflows, and established process performance measurement frameworks with feedback loops for continuous improvement. Throughout this work he has maintained rigorous alignment of processes with enterprise data models and semantic standards.

A prominent example is his role as a C-Suite AI Strategic Advisor at Envel Bank (Bain Capital & MIT Ecosystem), Boston, MA (2018–2023), where he advised executive leadership within a venture-backed, AI-native banking platform. Working directly with C-suite and board stakeholders, he aligned business processes, decision automation, and AI capabilities with growth and scalability objectives; led process mapping and redesign to identify automation opportunities and decision bottlenecks; formalized decision logic and prioritized backlogs for AI-enabled automation and agent-assisted workflows; and helped position the company as a first mover in autonomous banking, supporting its acquisition. (See Here) Additional examples of Dr. Lewis’s delivery of turnkey AI systems to executive leadership include:

  • United States Olympic Committee: Dr. Lewis worked directly with the USOC’s Director of High Performance Sport, Ron Brandt, where he developed an AI system to support long-distance coaches in optimizing training for female endurance athletes while preserving regular menstrual cycles. (See here)
  • Greg LeMond: Dr. Lewis worked directly with the World Champion cyclist and three-time Tour de France winner (1986, 1989, 1990). Dr. Lewis developed AI-driven systems supporting Mr. LeMond's next-generation bicycle performance and design. (See here)
  • Team Sky Cycling (Bath, England): Dr. Lewis developed custom artificial intelligence models for high-performance athlete optimization, working directly with Team Sky’s executive leadership, including Simon Jones. ( See here)

Before entering academia, Dr. Lewis earned a Bachelor of Science in Computer and Electrical Engineering from Syracuse University's L.C. Smith College of Engineering and a Juris Doctor from Syracuse University College of Law through its dual JD/LT&M program, combining legal training with an MBA-equivalent focus on technology transfer, innovation commercialization, and emerging technologies. He specialized in high-technology litigation at Fulbright & Jaworski in San Francisco, working on disputes involving stolen electrical circuitry in advanced microprocessors. His work included analyzing proprietary logic designs, bus architectures, and fabrication schematics to establish intellectual property theft in cases such as Intel v. AMD.

Returning to the college campus, he pursued a PhD in the Mathematical Theory of Machine Intelligence under Professor Zbigniew Raś. During this time, he taught in the summers at the University of Warsaw and at Bank of America headquarters in Charlotte, NC, instructing executives in BofA's internal MBA programs on high-technology transfer, computer technology, networking, and internet concepts.


Lastly but not least, for those students curious about life beyond AI, Dr. Lewis once took a different path. In the late 1990s and early 2000s he was signed to Columbia Records as part of a power trio, playing guitar alongside a bassist and drummer, and opening for acts such as Stone Temple Pilots, The Black Crowes, George Thorogood, Joan Jett, Violent Femmes, Jerry Lee Lewis, and others. The band appeared on the Billboard charts, was featured in Rolling Stone, and made its way onto MTV. Recognizing that fame is fleeting, he turned to his PhD in the mathematical theory of machine intelligence. As the spotlight dimmed, he dedicated himself fully to artificial intelligence and the long arc of intellectual discovery.


The Solvay International Conference

This photo of the attendees at the 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 a 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 80918, 719.255.3149

A. PROFESSIONAL PREPARATION
Syracuse University
Computer & Electrical Engineering
B.S.
Syracuse University College of Law
Law
J.D
University of North Carolina at Charlotte
Computer Science
Ph.D
B. ACADEMIC APPOINTMENTS
2016 - Present
Associate Professor, University of Colorado at Colorado Springs, CO.
2014 - 2019
Adjunct Professor, University of Colorado Anschutz Medical Campus, Aurora, 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.
2005 - 2008
MBA Lecturer, Bank of America in-House Executive Training.
2004 - 2007
Lecturer, University of Warsaw (summers), Warsaw, Poland.
2003 - 2008
Lecturer, University of North Carolina at Charlotte, Engineering School, NC.
C. PEER-REVIEWED PUBLICATIONS
  1. R. Lewis, “The case for neuromorphic sentience to control large-scale artificial intelligence,” in Proc. 10th World Conf. Smart Trends in Systems, Security, and Sustainability (WorldS4), Jul. 28–30, 2026, London, U.K.
  2. R. Lewis, M. Bihn, and K. Nesterenko, “Rough sets for a neuromorphic CMOS system,” in Proc. 27th Int. Symp. Methodologies for Intelligent Systems (ISMIS), Jun. 17–19, 2024, doi: 10.1007/978-3-031-62700-2_10, Poitiers, France.
  3. H. Albanesi and R. Lewis, “Resistance to AI use in internet culture research: Join the dark side or bury our head in the sand?,” Popular Culture Association National Conf. (PCA), Mar. 27–30, 2024, Chicago, IL, USA.
  4. R. Lewis, M. Bihn, Z. Liu, and D. S. Barbotko, “A self-learning neuromorphic system,” in Proc. 9th Int. Conf. Neuroscience and Cognitive Brain Information (BRAININFO), Mar. 10–14, 2024, pp. 11–16, Athens, Greece.
  5. T. Sultana, K. R. Walcott, and R. Lewis, “JSP-LOC: Schema for developing datasets and ML prognostic algorithm to prevent adversarial attack in satellite laser communication,” in Proc. Future of Information and Communication Conf. (FICC), Apr. 4–5, 2024, vol. 1, pp. 389–401, doi: 10.1007/978-3-031-53960-2_25, Berlin, Germany.
  6. M. Bihn and R. Lewis, “A postulate: Connectome development is the driving factor of brain growth,” IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications, Nov. 13–17, 2023, Best Paper Award, Barcelona, Spain.
  7. M. Bihn and R. Lewis, “Driving factor of brain growth is the connectome development,” in Proc. 8th Int. Conf. Neuroscience and Cognitive Brain Information (BRAININFO), Mar. 13–17, 2023, Barcelona, Spain.
  8. K. Nesterenko and R. Lewis, “Rough sets for intelligence on embedded systems,” in Proc. 26th Int. Symp. Methodologies for Intelligent Systems (ISMIS), Oct. 3–5, 2022, pp. 230–239, doi: 10.1007/978-3-031-16564-1_22, Cosenza, Italy.
  9. V. Banerjee, R. Rabinowitz, M. Stidd, R. Lewis, P. N. Brown, and G. Bloom, “The tragedy of the attacking miners,” in Proc. IEEE Consumer Communications & Networking Conf. (CCNC), Jan. 8–11, 2022, Las Vegas, NV, USA.
  10. C. Hendrix and R. Lewis, “Survey on blockchain privacy challenges,” in Proc. 2nd Workshop Blockchain and Enterprise Systems (BES), CEUR Workshop Proc., Nov. 24, 2021, vol. 3031, pp. 55–63, Riga, Latvia.
  11. M. Bihn and R. Lewis, “Synthesis of neonate connectomes for artificial sentience and common sense,” in Proc. 6th Int. Conf. Neuroscience and Cognitive Brain Information (BRAININFO), Jul. 18–22, 2021, Nice, France.
  12. R. Lewis, “Rough set & Riemannian covariance matrix theory for mining the multidimensionality of artificial consciousness,” in Proc. 10th Int. Conf. Web Intelligence, Mining and Semantics (WIMS), Jun. 30–Jul. 3, 2020, pp. 248–251, doi: 10.1145/3405962.3405974, Biarritz, France.
  13. R. Lewis, “Chinese artificial intelligence in space wars,” in Proc. 5th Int. Conf. Artificial Intelligence and Applications (AI), Nov. 29–Dec. 1, 2019, Dubai, U.A.E.
  14. R. Lewis, “A semantic calculus: Common sense reasoning for information systems,” in Proc. 11th Int. Conf. Information Management and Engineering (ICIME), Sep. 19–21, 2019, pp. 49–52, doi: 10.1145/3373744.3373755, London, U.K.
  15. R. Lewis, “A logical theory towards an invariant phenomenological state of artificial consciousness,” Int. Conf. Artificial Consciousness (ICAC), Apr. 22–23, 2019, Best Presentation Award, New York, NY, USA.
  16. R. Lewis, C. A. Mello, Y. Zhuang, M. K.-C. Yeh, Y. Yan, and D. Gopstein, “Rough sets: Visually discerning neurological functionality during thought processes,” in Proc. 24th Int. Symp. Methodologies for Intelligent Systems (ISMIS), Oct. 29–31, 2018, pp. 32–41, doi: 10.1007/978-3-030-01851-1_4, Limassol, Cyprus.
  17. R. Lewis, “ISR-Brain machine intelligence for unmanned aircraft systems,” in Proc. 2nd Int. Conf. Vision, Image and Signal Processing (ICVISP), Aug. 27–29, 2018, pp. 1–6, doi: 10.1145/3271553.3271594, Las Vegas, NV, USA.
  18. R. Lewis, “ISR-3D terrain: Artificial intelligence multidimensional mapping for unmanned aircraft systems,” 2nd Int. Symp. Intelligent Unmanned Systems on Artificial Intelligence (SIUSAI), Aug. 27–29, 2018, Las Vegas, NV, USA.
  19. R. Lewis, “Artificial intelligence for Neuro ER: Give him blood, or oxygen, or spinal tap/medication or a craniotomy?,” Military Health System Research Symp. (MHSRS), Aug. 20–23, 2018, Kissimmee, FL, USA.
  20. R. Lewis and M. Bihn, “Cerebral vasospasm decision support system for neurosurgeons,” Int. Conf. Computational Science and Computational Intelligence (CSCI), Dec. 14–16, 2017, Las Vegas, NV, USA.
  21. R. Lewis and M. Bihn, “Artificial intelligent agent for autonomous prediction and dynamic feedback for high performance athletes,” Int. Conf. Computational Science and Computational Intelligence (CSCI), Dec. 14–16, 2017, Las Vegas, NV, USA.
  22. R. Lewis, C. Mello, Y. Zhuang, M. K.-C. Yeh, Y. Yan, and D. Gopstein, “Visually discerning neurological functionality during intense versus trivial thought processes,” 13th Int. Symp. Medical Information Processing and Analysis (SIPAIM), Oct. 5–7, 2017, Poster, San Andrés Island, Colombia.
  23. K. Kamalaldin, R. Lewis, C. Mello, D. R. Cserpan, S. Zoltan, P. Erdi, and Z. Borhegyi, “Classifying & localizing epileptic brain states using structural features of neuronal Sugihara causation networks,” Advanced Computational Neuroscience Network Workshop (ACNN), Oct. 20–21, 2016, San Francisco, CA, USA.
  24. A. Kennedy and R. Lewis, “Optimization of neural network architecture for biomechanic classification tasks with electromyogram inputs,” 2nd Int. Conf. Advances in Bioscience and Bioengineering (ICABB), Oct. 26–29, 2016, San Francisco, CA, USA.
  25. A. Kennedy and R. Lewis, “Optimization of neural network architecture for biomechanic classification tasks with electromyogram inputs,” Int. J. Artificial Intelligence & Applications, vol. 7, no. 5, pp. 1–16, Sep. 2016, doi: 10.5121/ijaia.2016.7501.
  26. R. Lewis, M. Bihn, and C. Mello, “Machine intelligence: The neuroscience of chordal semantics and its association with emotion constructs and social demographics,” in Proc. Int. Symp. Methodologies for Intelligent Systems (ISMIS), Oct. 21–23, 2015, pp. 290–299, doi: 10.1007/978-3-319-25252-0_32, Lyon, France.
  27. R. Lewis and R. Broberg, “Seizure and pathologic oscillatory detection by entropy of the discrete amplitude distribution,” in Proc. 7th Int. Conf. Similarity Search and Applications (SISAP), 2014, pp. 247–252, Los Cabos, Mexico.
  28. 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,” in Proc. Int. Conf. Brain Informatics and Health (BIH), Aug. 11–14, 2014, Warsaw, Poland.
  29. R. Lewis, “Neuroscience rough set approach for credit analysis of branchless banking,” in Proc. 21st Int. Symp. Methodologies for Intelligent Systems (ISMIS), Jun. 25–27, 2014, pp. 536–541, doi: 10.1007/978-3-319-08326-1_57, Roskilde, Denmark.
  30. 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, IX Int. Seminar Medical Information Processing and Analysis, 2013, vol. 8922, Art. no. 89220E, doi: 10.1117/12.2035561, Mexico City, Mexico.
  31. R. Lewis, C. Mello, J. Ellenberger, and A. M. White, “Domain adaptation for pathologic oscillations,” in Proc. 14th Int. Conf. Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC), Oct. 11–14, 2013, pp. 374–379, doi: 10.1007/978-3-642-41218-9_40, Halifax, NS, Canada.
  32. R. Lewis, C. Mello, A. Brooks-Kayal, J. Carlsen, H. Grabenstatter, and A. M. White, “Autonomous neuroclustering of pathologic oscillations using discretized centroids,” in Proc. 8th Int. Conf. Mass Data Analysis of Images and Signals with Applications in Medicine (MDA), Jul. 13–16, 2013, pp. 12–23, New York, NY, USA.
  33. R. Lewis, C. Mello, A. Brooks-Kayal, J. Carlsen, H. Grabenstatter, and A. M. White, “Semi-autonomous neuroclustering: Using centroidal displacement analysis,” in Proc. 9th Int. Conf. Machine Learning and Data Mining (MLDM), Jul. 15–20, 2013, New York, NY, USA.
  34. 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), 2012, Poster, San Diego, CA, USA.
  35. R. Lewis, C. Mello, and A. M. White, “Tracking epileptogenesis progressions with layered fuzzy K-means and K-medoid clustering,” in Proc. Int. Conf. Computational Science (ICCS), Procedia Computer Science, Jun. 4–6, 2012, vol. 9, pp. 432–438, Omaha, NE, USA.
  36. R. A. Lewis and A. Waziri, “minedICE: A knowledge discovery platform for neurophysiological artificial intelligence,” in Proc. 19th Int. Symp. Methodologies for Intelligent Systems (ISMIS), Jun. 28–30, 2011, pp. 575–580, doi: 10.1007/978-3-642-21916-0_61, Warsaw, Poland.
  37. R. Lewis, B. Parks, D. Shmueli, and A. M. White, “Detecting epileptogenesis in power variant domains,” Control and Cybernetics, vol. 40, pp. 293–314, 2011.
  38. R. Lewis and A. M. White, “Multimodal spectral analysis and discrete finite automata for detecting seizures,” in Proc. IEEE/WIC/ACM Int. Conf. Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010, vol. 2, pp. 445–448, Toronto, Canada.
  39. R. Lewis, B. Parks, and A. M. White, “Determination of epileptic seizure onset from EEG data using spectral analysis and discrete finite automata,” in Proc. IEEE Int. Conf. Granular Computing (GrC), Aug. 14–16, 2010, pp. 277–282, San Jose, CA, USA.
  40. R. Lewis, B. Parks, D. Shmueli, and A. M. White, “Deterministic finite automata in the detection of epileptogenesis in a noisy domain,” in Proc. Joint Venture of the 18th Int. Conf. Intelligent Information Systems and the 25th Int. Conf. Artificial Intelligence (IIS), Jun. 8–10, 2010, pp. 207–218, Siedlce, Poland.
  41. X. Zhang, W. Jiang, Z. Raś, and R. Lewis, “Blind music timbre source isolation by multi-resolution comparison of spectrum signatures,” in Proc. 7th Int. Conf. Rough Sets and Current Trends in Computing (RSCTC), Lecture Notes in Artificial Intelligence, 2010, vol. 6086, pp. 610–619, doi: 10.1007/978-3-642-13529-3_65, Warsaw, Poland.
  42. R. Lewis and A. M. White, “Seizure detection using sequential and coincident power spectra with deterministic finite automata,” in Proc. Int. Conf. Bioinformatics and Computational Biology (BIOCOMP), Jul. 12–15, 2010, vol. 1, pp. 481–488, Las Vegas, NV, USA.
  43. R. Lewis, D. Shmueli, and A. M. White, “Deterministic finite automata in the detection of EEG spikes and seizures,” in Proc. 9th Int. Symp. Intelligent Data Analysis (IDA), May 19–21, 2010, pp. 103–113, doi: 10.1007/978-3-642-13062-5_11, Tucson, AZ, USA.
  44. T. E. Boult, A. T. Chamillard, R. Lewis, N. Polok, G. Stock, and D. Wortman, “Innovations in university education in innovation: Moving beyond the B.S.,” Int. J. Innovation Science, vol. 1, no. 4, pp. 167–178, 2010, doi: 10.1260/1757-2223.1.4.167.
  45. R. Lewis, J. Kalita, S. Sarmah, and D. Bhattacharyya, “Music industry scalar analysis using unsupervised Fourier feature selection,” in Recent Advances in Intelligent Information Systems, Proc. Intelligent Information Systems (IIS), Jun. 15–18, 2009, pp. 485–494, Kraków, Poland.
  46. R. Lewis, A. Cohen, W. Jiang, and Z. Raś, “Mining chordal semantics in a non-tagged music industry database,” in Recent Advances in Intelligent Information Systems, Proc. Intelligent Information Systems (IIS), Jun. 15–18, 2009, pp. 473–483, Kraków, Poland.
  47. R. Lewis, A. Cohen, W. Jiang, and Z. Raś, “Hierarchical tree for dissemination of polyphonic noise,” in Proc. 6th Int. Conf. Rough Sets and Current Trends in Computing (RSCTC), Lecture Notes in Computer Science, 2008, vol. 5306, pp. 448–456, doi: 10.1007/978-3-540-88425-5_46, Akron, OH, USA.
  48. R. Lewis, W. Jiang, and Z. Raś, “Mining scalar representations in a non-tagged music database,” in Proc. Int. Symp. Methodologies for Intelligent Systems (ISMIS), Foundations of Intelligent Systems, May 20–23, 2008, pp. 445–454, Toronto, Canada.
  49. R. Lewis and Z. Raś, “Facial recognition,” in Encyclopedia of Data Warehousing and Mining, 2nd ed., J. Wang, Ed., vol. 2, pp. 857–862, 2008.
  50. R. A. Lewis and A. Wieczorkowska, “Categorization of musical instrument sounds based on numerical parameters,” in Proc. 15th Int. Conf. Conceptual Structures (ICCS), Conceptual Structures: Knowledge Architectures for Smart Applications, 2007, pp. 87–93, doi: 10.1007/978-1-84628-992-7_12.
  51. R. A. Lewis and A. Wieczorkowska, “Parameter-based categorization for musical instrument retrieval,” in Proc. Int. Conf. Rough Sets and Intelligent Systems Paradigms (RSEISP), Lecture Notes in Computer Science, Jun. 28–30, 2007, vol. 4585, pp. 784–792, Warsaw, Poland.
  52. R. Lewis, X. Zhang, and Z. Raś, “MIRAI: Multi-hierarchical FS-tree based music information retrieval system,” in Proc. Int. Conf. Rough Sets and Intelligent Systems Paradigms (RSEISP), Jun. 2007, doi: 10.1007/978-3-540-73451-2_10, Invited paper, Warsaw, Poland.
  53. R. Lewis and Z. Raś, “Rules for processing and manipulating scalar music theory,” in Proc. Int. Conf. Multimedia and Ubiquitous Engineering (MUE), Apr. 26–28, 2007, pp. 819–824, Seoul, South Korea.
  54. A. Wieczorkowska, Z. Raś, X. Zhang, and R. Lewis, “Multi-way hierarchic classification of musical instrument sounds,” in Proc. Int. Conf. Multimedia and Ubiquitous Engineering (MUE), Apr. 26–28, 2007, pp. 897–902, Seoul, South Korea.
  55. R. Lewis, X. Zhang, and Z. Raś, “Blind signal separation of similar pitches and instruments in a noisy polyphonic domain,” in Proc. Int. Symp. Methodologies for Intelligent Systems (ISMIS), Foundations of Intelligent Systems, Lecture Notes in Artificial Intelligence, Sep. 27–29, 2006, vol. 4203, pp. 228–237, doi: 10.1007/11875604_26, Bari, Italy.
  56. R. Lewis, X. Zhang, and Z. Raś, “Knowledge discovery based identification of musical pitches and instruments in polyphonic sounds,” Engineering Applications of Artificial Intelligence, vol. 20, no. 5, pp. 637–645, Aug. 2007.
  57. A. Wieczorkowska, P. Synak, R. Lewis, and Z. Raś, “Creating reliable database for experiments on extracting emotions from music,” in Intelligent Information Processing and Web Mining, Advances in Soft Computing, 2005, vol. 31, pp. 395–404, doi: 10.1007/3-540-32392-9_41, Gdańsk, Poland.
  58. R. Lewis and Z. Raś, “Innertron: New methodology of facial recognition, Part II,” in Intelligent Information Processing and Web Mining, Proc. Intelligent Information Processing Symp., Jun. 13–16, 2005, pp. 625–632, doi: 10.1007/3-540-32392-9_75, Gdańsk, Poland.
  59. R. Lewis and Z. Raś, “Innertron: New methodology of facial recognition, Part I,” in Intelligent Information Processing and Web Mining, Proc. Intelligent Information Processing Symp., Jun. 13–16, 2005, pp. 1–9, Gdańsk, Poland.
  60. A. Wieczorkowska, P. Synak, R. Lewis, and Z. Raś, “Extracting emotions from music data,” in Proc. Int. Symp. Methodologies for Intelligent Systems (ISMIS), Foundations of Intelligent Systems, Lecture Notes in Artificial Intelligence, May 25–28, 2005, vol. 3488, pp. 456–465, doi: 10.1007/11425274_47, Saratoga Springs, NY, USA.
JOURNALS & INVITED PAPERS

Selected journal articles and invited papers from the numbered bibliography above.

MANUSCRIPTS PENDING REVIEW

The following submissions are pending and are not included in the published bibliography above. Conference details are as supplied.

  1. R. Lewis, “A developmental neuromorphic metacognitive architecture for independent oversight of artificial intelligence,” 64th Design Automation Conf. (DAC), Jul. 11–14, 2027, Pending submission, San Jose, CA, USA.
  2. R. Lewis, “Neuromorphic metacognition for protecting human judgment in human–AI interaction,” ACM Conf. Human Factors in Computing Systems (CHI), May 10–14, 2027, Pending submission, Pittsburgh, PA, USA.
  3. R. Lewis, “Neuromorphic metacognition for human oversight of AI: Formalizing and detecting maladaptive artificial intelligence states,” 39th Annual Conf. Innovative Applications of Artificial Intelligence (IAAI), Feb. 18–20, 2027, Pending submission, Montréal, Canada.
SELECTED INTERNATIONAL KEYNOTE ADDRESSES
  • The Convergence of Artificial Intelligence and the Internet of Things: Palo Alto, CA: Presented DNNs, GPU computing, and artificial consciousness research to an audience including Eric Schmidt (see here).
  • BRAININFO: Sixth International Conference on Neuroscience and Cognitive Brain Information, Nice, France: Delivered a keynote on AI-driven sentience and common-sense reasoning (see here).
  • Second Annual Autonomous Capabilities for DoD Summit: Keynote speaker and panel moderator. Briefed senior DoD leadership, including two four-star generals, on AI and autonomous military systems (see here).
ADDITIONAL INVITED ADDRESS
  • 8th International Conference on Neuroscience and Cognitive Brain Information (BRAININFO): Keynote/plenary address, “Embedding Neuroscientific Connectomic Synapsis with a Dynamic Neuron Onto a Solid State Device,” International Academy, Research, and Industry Association, Mar. 13–17, 2023, Barcelona, Spain (see conference).
INTELLECTUAL PROPERTY

T. E. Boult and R. Lewis, U.S. Patent Application 12/980,899, 2011.


D. SYNERGISTIC ACTIVITIES

ACHIEVEMENTS
Recipient of Outstanding Achievement: Professor of the Year. College of Engr (Student Vote), 2020.
Recipient of Outstanding Achievement: Professor 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: Professor 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: Professor 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 Advances in Artificial Intelligence and Machine Learning (AAIML 2023).
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 Colorado Springs. 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. Jan 4 – April 9, 2023.
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: Master’s 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 68 NSF Committees. CISE. SBIR/STTR and IIS: SCH
National Institutes 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. 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, - 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,
Tandon School of Engineering, New York University, New York, New York.
Daniel S. Barbotko,
MS Student. Computer Science, University of Colorado Colorado Springs.
Dhruba Bhattacharya,
Prof. Computer Science, Tezpur University, Tezpur, Assam, India.
Doran Shmueli,
Prof. Dir. of Adult Epilepsy Div. at U of Colorado School of Medicine.
Dorottya Cserpan,
Post-Doc Fellow. Neuropharmacology, Hungarian Academy of Sciences, Hungary.
Gedare Bloom,
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. Kalamazoo College, Kalamazoo Michigan.
Katarina Nesterenko,
PhD Student. Computer Science. University of Colorado Colorado Springs.
Kristen Walcot,
Assoc. Prof. Dept. Computer Science, University of Colorado Colorado Springs
Mark Spitz,
M.D., Prof. Dir. of Adult Epilepsy Div. at U of Colorado School of Medicine.
Mark Stidd,
PhD Student. Computer Science. University of Colorado Colorado Springs.
Martin K. -C. Yeh,
School of Information Sciences & Technology, Penn State, Media, Pennsylvania
Michael Bihn,
PhD Student, Computer Science, University of Colorado Colorado Springs.
Peter Erdi,
Prof. Neuropharmacology Group, Hungarian Academy of Sciences, Hungary.
Philip N. Brown,
Asst. 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 Hungarian Academy of Sciences, Hungary.
Taniza Sultana,
PhD Student. Computer Science. University of Colorado Colorado Springs.
Terrance. E Boult,
Professor. 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,
Asst. Prof. Dept. Computer Science, University of Colorado Colorado Springs
Yu Yan,
Department of Learning & Performance Systems, Penn State, University Park, Pennsylvania.
Zbigniew Raś,
Prof. Habilitation. University of North Carolina at Charlotte.
Zhenqi Liu,
MS Student. Computer Science, University of Colorado Colorado Springs.
Zsolt Borhegyi,
Assoc. Prof. Neuropharmacology Group, Hungarian Academy of Sciences, Hungary.

AFFILIATIONS | GRADUATE ADVISOR
Zbigniew Raś
Prof. Habilitation. Dir. KDD Lab. University of North Carolina at 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.
Master’s 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. (PI). Neuromorphic Metacognition: A Brain-Inspired Architecture for Independent Oversight of Artificial Intelligence. Sponsored by National Science Foundation (NSF), Future Computing Research (Future CoRe), Foundations of Emerging Technologies (FET). 2026–2029. $680,000.
Lewis, R. A. (PI). AI-Infrastructure-Hubs: Colorado AI Infrastructure Hub for Scientific Discovery, Education, and Workforce Development. Sponsored by National Science Foundation (NSF), State and Regional Artificial Intelligence Infrastructure Hubs: Expanding Access to Compute for Scientific Discovery (NSF 26-513). 2027–2032. $890,000.NSF 26-513.

RESEARCH SUPPORT | CURRENT
Lewis, R. A. (Principal), Boult, T. (Co-PI), “Multivariate Algorithms for Optimized Test Heuristics and Real-Time Analysis (MAOTHRA),” MSCI, Federal, $2,675,250.00.
Command, Control, Communications, Computers, Intelligence (C4I) and Software Intensive Systems (SIS) Test Technology Area (C4T TTA). Test & Evaluation / Science and Technology (T&E/S&T) Directorate, Test Resource Management Center (TRMC), 4800 Mark Center Dr, Ste 07J22, Alexandria, VA 22350.
  1. Prototyping. $297,250. Developed initial algorithmic prototypes for real-time test optimization of software-intensive systems. Focused on enhancing test heuristics for C4I applications. Delivered technical documentation aligned with TRMC’s S&T roadmap and coordinated with T&E/S&T managers at Mark Center.
  2. Initial Field Testing. $297,250. Conducted operational field testing at Redstone Arsenal, validating MAOTHRA’s performance in live test environments. Collaborated with TRMC stakeholders to refine algorithmic models and integrate feedback from C4T domain experts.
  3. Final Field Testing and Transition Readiness. $297,250. Executed final field testing at Redstone Arsenal, demonstrating MAOTHRA’s readiness for transition to operational use. Delivered final performance reports and transition documentation supporting potential CRAD-to-PoR pathway under TRMC’s C4T TTA.

RESEARCH SUPPORT | COMPLETED
Lewis, R. A. (Co-PI), Quinlan, M. (PI). Equipment: Acquisition of a High-Speed Imaging and Laser Diagnostic Facility for Multi-Use Research, Sponsored by NSF 103834. 08/2023–07/202?. $1,252,159.
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.
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.
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
Departments of Neurology and Pediatrics. Workshops on using the latest versions of our 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 of North Carolina at Charlotte
School of Electrical & Computer Engineering, Charlotte, NC 2003 - 2008
University of 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) 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 – 2022
Director: Space War Preparation Center (SWPC), Harris Corporation, DoD & Board of Regents University of Colorado. 2019 – 2020.
RAND Corporation. Researcher and Advisor. Scientific and legal parameters of AI and ML in DOD 2017 – 2020.
Warfighters Edge Research Laboratories. Fellow. Classified AI and ML Research for Pentagon. USAF 2017 – 2021.
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 connect accounts payable 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 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. EarthX, Dallas Tx, (July 2020, present).
b. Peak Producers of Colorado Springs, COLORADO SPRINGS, CO. (May 9, 2022).
c. Relationship-building, Patty Jewett Golf Club Members’ Business Group, COLORADO SPRINGS, CO. (June 29, 2021)
d. Peak Producers of Colorado Springs, COLORADO SPRINGS, CO. (May 20, 2021).
e. Relationship-building, Patty Jewett Golf Club Members’ Business Group, COLORADO SPRINGS, CO. (September 17, 2020).
f. Relationship-building, Colorado Springs Chamber of Commerce & EDC, COLORADO SPRINGS, CO. (December 18, 2019).
g. Funding, Space War Preparation Center, COLORADO SPRINGS, CO. (January 2019).