RORY LEWIS

Program Director: Masters of Computer Science
Engineering Building, Room 188
University of Colorado at Colorado Springs
1420 Austin Bluffs Parkway
Colorado Springs, CO 80918, 719.255.3149
Email rlewis5[at]uccs.edu :: Website https://www.uccs.edu/rorylewis/

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

Dr. Lewis has also delivered keynote addresses at i) 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 ii) 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, Machine Learning and Artificial Consiousness, comparing academia and industry versus the DoD AI and ML research methodologies, see here.

Dr. Lewis conducts his Machine Learning 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 & Recconnaissance (ISR). Dr. Lewis is also a Senior Research Scientist for machine learning and artificial intelligence at the RAND Corporation. See Curriculum Vitae below, or view & download a pdf version 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 aa 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
Ph.D
2008


B. ACADEMIC APPOINTMENTS
2008 - Present
Associate 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
46
R. Lewis. “A Logical Theory Towards an Invariant Phenomenological State of Artificial Consciousness.” International Conference on Artificial Consciousness, (ICAC ‘19), pending. 22nd – 23rd April, New York, NY, 2019.
45
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.
44
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.
43
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.
42
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.
41
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.
40
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.
39
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.
38
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.
37
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.
36
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.
35
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.
34
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.
33
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.
32
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.
31
R. Lewis, J. Ellenberger, C. Williams and A. M. White. “Investigation into the Efficacy of Generating Synthetic Pathological Oscillations for Domain Adaptation.” InProc. 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.
30
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
29
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.
28
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.
27
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.
26
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.
25
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.
24
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.
23
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.
22
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.
21
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.
20
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.
19
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.
18
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.
17
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.
16
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.
15
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.
14
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.
13
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.
12
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.
11
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.
10
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.
9
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.
8
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.
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
Speaker & Moderator. 2nd Annual Autonomous Capabilities for DoD. Exploiting Autonomy for Mission Success, 19th – 20th September, 2018 | Alexandria, VA.
Keynote Speaker. The Convergence of Artificial Intelligence and the Internet of Things, 28th – 29th November, 2018 | Crowne Plaza, Palo Alto, CA.
D. SYNERGISTIC ACTIVITIES
ACHIEVEMENTS
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.
Program Director: Masters Degree Program Computer Science. University of Colorado Colorado Springs. 2011 - present.
Designed and implemented AI in Neurosurgery Dept. at UC Denver Anschutz Medical School 2010 – 2016.
PI with 4 undergrads developed an STTR: iPhone App that helps addicts cope with their recovery.
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.
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 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 | COMMITTEES
Committee on Research and Creative Works (CRCW)
Computer Science Department: Committee for Bachelor of Arts Computer Science Degree.
STEM & Diversity: COmputational neurpscience. Tours and Lectures to Anschutz Medical School.
College of Engineering: Dean Hiring Committee.
College of Engineering: Chair: DAZE Hiring Committee.
College of Engineering: DAZE Curriculum Committee.
College of Engineering: Gallogly Chair Hiring Committee.
Computer Science Department: Chair: Masters’ Degree Program.
Computer Science Department: Multi-disciplinary Committee for Systems Degree.
Computer Science Department: Faculty Hiring Committee.
Computer Science Department: Chair: Library Committee
Computer Science Department: Equipment Purchasing Committee.
Computer Science Department: Graduate Studies Committee.
Conceptualized, presented and worked with EAS Dean to (SEO) Conference to UCCS.
SPONSORING | COMMITTEES
National Science Foundation (NSF): Served on 22 NSF 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. 
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. 
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. 
Mark Spitz
M.D., Assoc. Prof. Dir. of Pediatric Neurology at Denver’s Health Medical Center. 
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. 
Piotr Synak
Asst. Prof. Polish-Japanese Academy of Information Technology, Warsaw. 
Ron Broberg
PhD Student. 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. 
Wishuan Jiang
PhD Student. Computer Science. University of North Carolina. 
Xing Zhang
PhD Student. Computer Science. University of North Carolina. 
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
Katrina Nesterenko, Chad Mello, Chris Hammond, Matt Doman, Michael Bihn, Benjamin Garcia and James Ellenberger.
Masters Students
Bhakti Mehta, Maadh Hmosze, Nicholas Johnson, Ashely Whiteside, Gabriel Jordan, David Stites, Devon Bryant, Daniel Ruiz, Colton Williams and Kelly McMurtrey.
E. RESEARCH SUPPORT
RESEARCH SUPPORT | PENDING
AFRL (cont.) 2,3 & 4 of 4
Air Force Research Laboratories. Full Motion Video. ISR Artificial Intelligence Agent. PI. $750,000.
DARPA
Artificial Intelligence predictions in ISR. PI. $6,300,000.
DARPA
ADARPA-PA-18-02-03: μBRAIN: Microscale Bio-mimetic Robust Artificial Intelligence Networks (μBRAIN) PI. $900,000.
DARPA
ADARPA-SN-19-19 KAIROS: Knowledge-directed Artificial Intelligence Reasoning Over Schemas (KAIROS) PI. $1,400,000.
IIS: CRCNS
Robust Intelligence for Neurosurgery Intensive Care Unit. PI. $393,53
DARPA
HR001118S0057: Information Innovation Office (I2O) Office-Wide BAA. PI. $1,200,000
RESEARCH SUPPORT | CURRENT
UCCS (INTERNAL)
Blockchain Research for Medical and Legal Documents. Cybersecurity internal grant PI. $10,000
AFRL 1 of 4
Air Force Research Laboratories. Full Motion Video. ISR Artificial Intelligence Agent. PI. $250,000.
IIS: SCH: INT
Collaborative Research: Learning and Sensory-based Engagement, Arousal and Self-Efficacy (EASE) modeling for Adaptive Web-Empowerment Trauma Treatment. Co-PI. $1,4805,590.
RESEARCH SUPPORT | COMPLETED
LeMond Inc.
Architecture for Cardiovascular AI support. System. PI. $200,000.
USOC
United States Olympic Committee. Artificial Intelligence for Long Distance Elite-Level Females. PI. $70,000.
NSF: CNS: REU
Machine Learning, Theory and Applications. Co-PI. $375,905.
NSF: SBIR
Phase I. Online Support Network for Users with Dependencies. Syberenity, & UCCS. PI: $150,000.
UCCS (INTERNAL)
Innovations in Scholarship for Inclusive Excellence” (ISIE) grant. PI. $10,000
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 EXPERIENCE
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.