Rory Lewis JD PhD :: Assoc. Proff. Artificial Intelligence, Machine Learning, University of Colorado

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

R. Lewis. “A Logical Theory Towards an Invariant Phenomenological State of Artificial Consciousness.” International Conference on Artificial Consciousness, (ICAC ‘19), pending. 22^nd – 23^rd April, New York, NY, 2019.

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),). 29^th – 21^st October, St. Raphael, Limassol, 2018.

R. Lewis, “ISR-Brain Machine Intelligence for Unmanned Aircraft Systems.”2^nd International Symposium of Intelligent Unmanned Systems on Artificial Intelligence,, (SIUSAI ‘18), 27^th – 29^th August, Las Vegas, NV, 2018.

R. Lewis, “ISR-3D Terrain: Artificial Intelligence Multidimensional Mapping for Unmanned Aircraft Systems”2^nd International Symposium of Intelligent Unmanned Systems on Artificial Intelligence,, (SIUSAI ‘18), 27^th – 29^th August, Las Vegas, NV, 2018.

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). 20^th – 23^rd August, Kissimmee, Fl, 2018.

R. Lewis, M. Bihn. “Cerebral Vasospasm Decision Support System for Neurosurgeons.”The 2017 International Conference on Computational Science and Computational Intelligence, (CSCI ‘17). 14^th – 16^th December, Las Vegas, Nevada, 2017.

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). 14^th – 16^th December, Las Vegas, Nevada, 2017.

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 13^th International Symposium on Medical Information Processing and Analysis, ( SIPAIM '17') poster. 5^th – 7^th October, San Andres Island, Colombia, 2017.

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). 20^th – 21^st October, San Francisco, CA, 2016.

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). 26^th – 29^th October, San Francisco, CA, 2016.

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.

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). 21^st – 23^rd (pp. 290-299), October, Lyon, France, 2015.

R. Lewis, R. Broberg. “Seizure and Pathologic Oscillatory Detection by Entropy of the Discrete Amplitude Distribution.”The 7^th International Conference on Similarity Search and Applications, (SISAP ‘14). (pp 247 – 252), 29^th – 3^rd October, Los Cabos, Mexico, 2014.

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'). 11^th – 14^th August, Warsaw, Poland, 2014.

R. Lewis. “Neuroscience Rough Set for Credit Risk Analysis of Branchless Banking Subprime Loans.”The 21^stsup> International Symposium on Methodologies for Intelligent Systems, (ISMIS '14). (pp. 536 – 541), 25^th – 27^th June, Roskilde, Denmark, 2014.

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), 11^th – 14^th México City, Mexico, 2013.

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), 11^th – 14^th October, Halifax, NS, Canada, 201

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: 8^thsup> International Conference on Mass Data Analysis of Images and Signals with Applications in Medicine,, (MDA ‘13). (pp. 12-23), 13^th – 16^th July, New York City, NY, 2013.

R. Lewis, C. Mello, A. Brooks-Kayal, J. Carlsen, H. Grabenstatter, and A. M. White. “Semi-Autonomous Neuroclustering: Using Centroidal Displacement Analysis.”9^th International Conference on Machine Learning & Data Mining, (MLDM ‘13). 15^th – 20^th July, New York City, NY, 2013.

J. Carlsen, H. Grabenstatter, R. Lewis, C. A. Mello, A. Brooks-Kayal, and A. M. White. “Identification of Seizures in Prolonged Video-EEG Recordings.”66^th American Epilepsy Society Annual Meeting,, (AES '12'). Poster, 30^th – 2n^nd December, San Diego, CA, 2012.

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), 4^th – 6^th June, Omaha, Nebraska, 2012.

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), 29^th – 30^th June, 2011.

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.

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), 31^st – 3^rd September, Toronto, Canada, 2010.

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), 14^th – 16^th August, San Jose, CA, 2010.

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 18^th International Conference Intelligent Information Systems and the 25^th International Conference on Artificial Intelligence, (IIS ‘10). (pp. 207–218), 8^th – 10^th June, Siedlce, Poland, 2010.

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 7^th International Conference on RSCTC, M. Szezula et al. (EDs) LNAI 6068, Springer Berlin/Heidelberg (aRSCTC ‘10). (pp. 610-619), Warsaw, Poland, 2010.

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), 12^th – 15^th July, Las Vegas, Nevada, 2010.

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), 19^th – 21^st May, Tucson, Arizona 2010.

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, 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), 15^th – 18^th June, Krakow, Poland, 2009.

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), 15^th – 18^th June, Krakow, Poland, 2009.

R. Lewis, A. Cohen, W. Jiang, and Z. Raś. “Hierarchical Tree for Dissemination of Polyphonic Noise.” InProceedings of The 6^th International Conference on Rough Sets and Current Trends in Computing, Springer-Verlag, Berlin, Heidelberg (RSCTC ’08). (pp. 448–456), Lecture Notes in Computer Science, vol 5306. Springer, Berlin, Heidelberg, 2008.

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 (aRSEISP ‘07). (Vol. 4585, pp. 784-792 ), 28^th – 30^th June, Warsaw, Poland, 2007.

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), 20^th – 23^rd May, Toronto, Canada, 2007.

R. A. Lewis and A. Wieczorkowska. “Categorization of Musical Instrument Sounds Based on Numerical Parameters.” Conceptual Structures: Knowledge Architectures for Smart Applications, inProceedings of 15^th International Conf. on Conceptual Structures,, (ICCS ‘07). (Vol. 3, pp. 87-93), (Vol. 3, pp. 87-93), 2007.

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 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), 26^{th/sup> – 28^th April, Seoul, Korea, 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.

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), 26^th – 28^th April, Seoul, Korea, 2007

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), 27^th – 29^th September, Bari, Italy 2006.

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.

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), 13^th – 16^th June, Gdansk, Poland:, 2005.

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) 25^th – 28^th May, Saratoga Springs, New York, 2005.

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), 13^th – 16^th June, Gdansk, Poland: 2005.

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), 13^th – 16^th June, Gdansk, Poland: 2005.

JOURNALS & INVITED PAPERS

R. Lewis, Z. Raś : “Facial recognition”,Idea Group, Inc., 2008, John Wang (Ed.): Encyclopedia of Data Warehousing and Mining – 2^nd Edition, (EDW&M). (Vol. II, pp. 857-862), 2008.

INVITED SPEAKER

Speaker & Moderator. 2^nd Annual Autonomous Capabilities for DoD. Exploiting Autonomy for Mission Success, 19^th – 20^th September, 2018 | Alexandria, VA.

Keynote Speaker. The Convergence of Artificial Intelligence and the Internet of Things, 28^th – 29^th 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 1^st International Conference on Data Intelligence and Security. (ICDIS 2018).

28^th Modern Artificial Intelligence and Cognitive Science Conference. (MAICS 2017).

International Joint Conference on Rough Sets (IJCRS 2016).

22^nd International Symposium on Methodologies for Intelligent Systems. (ISMIS 2015).

International Conference on Web Intelligence and the 2014 Web Intelligence Congress (BIH 2014).

21^st International Symposium on Methodologies for Intelligent Systems (ISMIS 2014).

9^th International Seminar on Medical Information Processing and Analysis (SIPAIM 2013).

5^th International Conference on Intelligent Decision Technologies (IDT 2013).

The 2012 International Conference on Information and Knowledge Engineering (IKE 2012).

IPC/IBR, 2^nd Asian Conf. on Intelligent Information & Database Systems (ACIIDS 2010).

IEA-AIE, 22^nd Intl Conf. on Industrial, Engineering & Applied Intelligent Sys. (IEA-AIE 2009).

18^th International Symposium on Methodologies for Intelligent Systems (ISMIS 2009).

IEEE ICDM International Workshop on mining complex data (MCD 2008).

17^th 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 of 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

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.