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Department of Computer Science

Computer Science College of Engineering & Applied Science

Dr. Rory Lewis


Rory Lewis

 

Assistant Professor

Office:  Engineering 188
Phone:  (719) 262-3149
Email: 
Home Page: http://www.rorylewis.com

 

 

Biographical Sketch

    Research:

  • Knowledge Discovery in Databases

    (KDD): Epilepsy Prediction using Knowledge Discovery in Databases (KDD), Ontologies including merging VLSI and KDD with an application to pre-operative geriatrics and medicine. (see Research Statement)
  • Lecturer:

  • Programming the iPhone:

iPhone AppiPhone Application Programming in Objective C:, iPhone App Tutorials. Computer & Electrical Engineering, Computer Science and MBA Schools. C#, C++, ASP.Net, iPhone Apps (COCOA) and SQL Engineering/Computer Science students, Search Engine Optimization. SEO.eCommerce, Networks, Security and .NET to MBA classes. Apple iTablet.

  • 2003 - 2008:

Worked under the guidance of Dr. Zbigniew Raś in Knowledge Discovery in Databases Algorithms, Ontologies Computational Mathematics and Music Information Retrieval (MIR).  See how Immanuel Kant is in Dr. Lewis' Accademic Lineage.

  • 1996 - 2003:

Worked as an Associate VLSI legal litigation analyst on the AMD vs. Intel case at both Fullbright & Jaworski in Austin and Skjervan Morrill in San Francisco where he also worked in Venture Capital Teams performing due-diligence analysis for boot strapping, IPOs and secondary markets.

  • 1996:

Graduated with Jurist Doctorate in Law and an LT&M (Law Technology and Management) in high Tech Business Management from Syracuse University.

  • 1993:

Graduated with a Bachelor of Science in Computer and Electrical Engineering from Syracuse University.

 

Research

Epilepsy Prediction, iPhone App Social Networks, Blind Signal Separation, Bayesian Networks, Intelligent Information Systems, Knowledge Discovery and Data Mining, Fourier Transforms, Action Rules, Granular Computing, Theoretical Artificial Intelligence, Neuro Endocrinology & VLSI. Creating a VLSI, synthetic – artificial hypothalamus to which we design the system upon and test the system against. The focus of these tests will be to create an Intelligent Agent that uses Knowledge Discovery to learn rules to manipulate and control the hormones released from the hypothalamus.

Recent Publications

2009

15.
Adobe PDF
&"Music Industry Scalar Analysis Using Unsupervised Fourier Feature Selection",Rory Lewis, Jugal Kalita, Sauravjyoti Sarmah, and Dhruba Bhattacharyya, Joint venture of the 17th International Conference Intelligent Information Systems (IIS) and the 24th International Conference on Artificial Intelligence (AI) Kraków, Poland, June 15-18, 2009, will appear.
14.
Adobe PDF
"Mining Chordal Semantics in a Non-Tagged Music Industry Database",Rory Lewis, Amanda Cohen, Wenxin Jiang, and Zbigniew Ras, A. Cohen, W. Jiang, Z.W. Ras, Joint venture of the 17th International Conference Intelligent Information Systems (IIS) and the 24th International Conference on Artificial Intelligence (AI) Kraków, Poland, June 15-18, 2009, will appear.

2008/strong>

13.
"Scalar Theory and Knowledge Discovery in the Recording Industry",R. Lewis, The Twenty Second International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems IEA-AIE 2009 June 24-27, 2009 Tainan, Taiwan.
12.
"Hierarchical Tree for Dissemination of Polyphonic Noise",  R. Lewis, A. Cohen, W. Jiang, Z.W. Ras In Proceedings of the Sixth International Conference on Rough Sets and Current Trends in Computing (RSCTC 2008) Akron, Ohio, October 23 - 25, 2008). C. Chan, J. W. Grzymala-Busse, and W. P. Ziarko, Eds. Lecture Notes In Artificial Intelligence, vol. 5306. Springer-Verlag, Berlin, Heidelberg, 448-456. DOI= http://dx.doi.org/10.1007/978-3-540-88425-5_46
11.
"Mining Scalar Representations in a Non-Tagged Music Database", R. Lewis, W. Jiang, Z.W. Ras, in “Foundations of Intelligent Systems”, Proceedings of ISMIS’08. (Eds.), Toronto, Canada, LNAI, Vol. 4994, Springer, 2008, 445-454

2007

10.
"Categorization of Musical Instrument Sounds Based on Numerical Parameters" Lewis, R., Wieczorkowska, A, in “Conceptual Structures: Knowledge Architectures for Smart Applications”, 15th International Conference on Conceptual Structures, ICCS 2007, Sheffield, UK. , July 22-27, Springer Berlin / Heidelberg, Vol. 4604, 4585 784-792. 2007.
9.
"MIRAI: Multi-hierarchical, FS-tree based Music Information Retrieval System," Z.W. Ras, X. Zhang, Lewis, R., in “Proceedings of Rough Sets and Intelligent Systems Paradigms, International Conference, RSEISP 2007, Warsaw, Poland, June 28-30, 2007, RSEISP 2007”, June 28-30, in Warsaw, Poland, LNAI, Springer. 2007.
8.
"Rules for Processing and Manipulating Scalar Music Theory." Lewis, R., Z.W. Ras, in “Proceedings of the IEEE CS International Conference on Multimedia and Ubiquitous Engineering (MUE 2007)”, in Seoul, Korea, DOI http://www2.computer.org/portal/web/csdl/doi/10.1109/MUE.2007.184, April 26-28, 2007.
7.
"Multi-way Hierarchic Classification of Musical Instrument Sounds,"A. Wieczorkowska, Z.W. Ras, X. Zhang, Lewis, R.,in “Proceedings of the IEEE CS International Conference on Multimedia and Ubiquitous Engineering (MUE 2007)”,http://www2.computer.org/portal/web/csdl/doi/10.1109/MUE.2007.184, in Seoul, Korea, DOI April 26-28, 2007.

2006

6.
"Blind Signal Separation of Similar Pitches and Instruments in a Noisy Polyphonic Domain," R. Lewis, X. Zhang, Z.W. Ras, in “Foundations of Intelligent Systems”, Proceedings of ISMIS’06, F. Esposito et al. (Eds.), 228-237 Bari, Italy, LNAI, No. 4203, Springer, 2006.
5.
Knowledge Discovery Based Identification of Musical Pitches and Instruments in Polyphonic Sounds,” Rory A. Lewis, Xin Zhang, Zbigniew W. Ras, Knowledge discovery-based identification of musical pitches and instruments in polyphonic sounds, Engineering Applications of Artificial Intelligence, Volume 20, Issue 5, Soft Computing Applications, August 2007, Pages 637-645, ISSN 0952-1976, DOI: 10.1016/j.engappai.2006.11.006.

2005

4
"Creating Reliable Database for Experiments on Extracting Emotions from Music," A. Wieczorkowska, P. Synak, R.A. Lewis, Z.W. Ras, in Intelligent Information Processing and Web Mining, Advances in Soft Computing, Proceedings of the IIS’2005 Symposium,395-404, Gdansk, Poland, Springer, 2005.
3.
"Extracting Emotions from Music Data,"A. Wieczorkowska, P. Synak, R. Lewis, Z.W. Ras, in “Foundations of Intelligent Systems”, Proceedings of ISMIS’05, M. S. Hacid et al. (Eds.), Saratoga Springs, New York, LNAI, No. 3488, 456-465, Springer, 2005.
2.
"New methodology of facial recognition, Part II", R. A. Lewis , Z. W. Ras, in Intelligent Information Processing and Web Mining, Advances in Soft Computing, Proceedings of the IIS’2005 Symposium, Gdansk, Poland, Springer-Verlag, 2005.
1.
"New methodology of facial recognition, Part I", R. A. Lewis , Z. W. Ras, in Intelligent Information Processing and Web Mining, Advances in Soft Computing, Proceedings of the IIS’2005 Symposium, Gdansk, Poland, Springer-Verlag, 2005.

Journals

2006

01
Adobe PDF
Knowledge Discovery Based Identification of Musical Pitches and Instruments in Polyphonic Sounds.” Lewis, R., Zhang, X., Ras, Z. W., International Journal of Engineering Applications of Artificial Intelligence, Elsevier, 2006.

Encyclopedias

2008

1.
“Facial recognition”, R. Lewis, Z.W. Ras, in “Encyclopedia of Data Warehousing and Mining - 2nd Edition”, John Wang (Ed.), Idea Group, Inc, 2008.

Proceedings

 

7.
Proceedings of 17th International Conference Intelligent Information Systems (IIS) and the 24th International Conference on Artificial Intelligence (AI) Kraków, Poland, June 15-18, 2009. “Music Industry Scalar Analysis Using Unsupervised Fourier Feature Selection”
6.
Proceedings of 17th International Conference Intelligent Information Systems (IIS) and the 24th International Conference on Artificial Intelligence (AI) Kraków, Poland, June 15-18, 2009. “Mining Chordal Semantics in a Non-Tagged Music Industry Database
5.
Proceedings of ISMIS’08 Symposium, Toronto, Canada, LNAI, Foundations of Intelligent Systems 2008 “Mining Scalar Representations in a Non-Tagged Music Database.”
4.
Proceedings of ISMIS’06, F. Esposito et al. (Eds.), 228-237 Bari, Italy, LNAI, 2006. “Blind Signal Separation of Similar Pitches and Instruments in a Noisy Polyphonic Domain.”
3.
Proceedings of ISMIS’05, M. S. Hacid et al. (Eds.), Saratoga Springs, New York, LNAI, No. 3488, 456-465, Springer, 2005. “Extracting Emotions from Music Data.”
2.
Proceedings of the IIS’2005 Symposium, Gdansk, Poland, Springer-Verlag, 2005.“New Methodology of Facial Recognition, Part II.”
1.
Proceedings of the IIS’2005 Symposium, Gdansk, Poland, Springer-Verlag, 2005. “New Methodology of Facial Recognition, Part I.”

 

For further details, go to Dr. Lewis' Home Page