machine learning complex systems

Creating machines that predict events, know if their predictions were correct or not and then reprogram themselves, without any human intervention, to never make that same mistake again. Herein, the machine becomes very smart.


I'm an Assistant Professor of Computer Science at the University of Colorado at Colorado Springs.
Rory Lewis, 2015

Curriculum Vitae

Online version here. Download a PDF version here.


My focus is on machine learning complex systems. My research is carried out at UCCS, the University of Colorado Denver's Anschutz Medical Campus, and at the United States Olympic Committee. Details here.


I have authored several books for programming iOS devices using Objective-C. Published under APress / Springer, translated into 4 languages that are sold in bookstores and used in colleges around the world. Details here.


My PhD dissertation was the link between neurosciences and the mathematics of music theory. Nowadays, two colleagues and I play in a band on Thursday nights.


In Computer Science, I teach graduate level classes in machine learning, databases, logic & predicate calculus. In the Bachelor of Innovation Program I teach undergraduate classes in Law. Details here.


Before academia, I worked at Fulbright & Jaworski (Austin and San Francisco), and at Skjervan Morril (San Jose) where I helpp litihgate intel v. AMD. Nowadays, I advise in biomedical high tech litigation.


Kera and I participate in triathlons, XC & telemark skiing. I am also a cat-2 road cylist and run marathons. Details here.


Current events, excerpts from latest papers and accolades.

Our paper, Machine Intelligence: The Neuroscience of Chordal Semantics & its Association with Emotion Constructs and Social Demographics, has been accepted for presentation at the 22nd International Symposium on Methodologies for Intelligent Systems. See conference here.

Abstract. We present an extension to knowledge discovery in Music Information Retrieval (MIR) databases and the emotional indices associated with i) various scalar theory, and ii) correlative behavioral demographics. Certain societal demographics are set in their ways as to how they dress, behave in society, solve problems and deal with anger and other emotional states. It is also well documented that particular musical scales evoke particular states of emotion and personalities of their own. This paper extends the work that Knowledge Discovery in Databases (KDD) and Rough Set Theory has opened in terms of mathematically linking music scalar theory to emotions. We now, extend the paradigm by associating emotions, based from music, to societal demographics and how strong these relationships to music are as to a ect, if at all, how one may dress, behave in society, solve problems and deal with anger and other emotional states

Medtronic takes interest in minedICE

Travelled to Washington DC to discuss licensing agreement with Dr. Waziri.

7th International Conference on Similarity Search and Applications SISAP 2014

Teamed up with Mathematics PhD student Ronald Broberg.

Served on my first joint nIH and NSF panel for smart & connected health in Waashington DC. The goal of the Smart and Connected Health (SCH) Program is to accelerate the development and use of innovative approaches that would support the much needed transformation of healthcare from reactive and hospital-centered to preventive, proactive, evidence-based, person-centered and focused on well-being rather than disease. Approaches that partner technology-based solutions with biobehavioral health research are supported by multiple agencies of the federal government including the National Science Foundation (NSF) and the National Institutes of Health (NIH). See here.
Dr. Terry Booult, Chip McNight and I have been awarded a $1.8 million grant to have machines discern emotional and cognitive states of veterans based on facial expressions as they answer questions.
The 2014 International Conference on Brain Informatics & Health

The Human Brain Project and BIH worked in conjunction to develop and disseminate understandings of novel intelligent computing formalisms, techniques, and technologies in the special application contexts of brain and health related studies and services. It is devoted to interdisciplinary studiescovering computational, logical, cognitive and neuro-psysiological studies.

This has been my fifth time serving on the board in Washington DC for the NSF Small Business Innovation Research / Small Business Technology Transfer (SBIR/STTR) program seeks to transform scientific discovery into societal and economic benefit by catalyzing private sector commercialization of technological innovations. The program increases the incentive and opportunity for startups and small businesses to undertake cutting-edge, high-quality scientific research and development. See here. We provide grants in phases: a short proof-of-concept / feasibility grant ($150-225k) can potentially be followed by a longer development grant ($750k).
21st International Symposium on Methodologies for Intelligent Systems

The scope of ISMIS is intended to represent a wide range of topics on applying Artificial Intelligence techniques to areas as diverse as decision support, automated deduction, reasoning, knowledge based systems, machine learning, computer vision, robotics, planning, databases, information retrieval, etc. The focus is on research in intelligent systems. The conference addresses issues involving solutions to problems that are complex to be solved through conventional approaches and that require the simulation of intelligent thought processes, heuristics and applications of knowledge. The integration of these multiple approaches in solving complex problems is of particular importance.

University of Colorado Anschutz Medical Campus Dept of pediatrics monthly meeting.

Presenting and giving training for latest version of the machine learning research system. Chad Mello, my PhD student then continued the training and illustrated how it can find all seizures in two weeks of EEGs , in 30 seconds. This is something post docs take 60 hours to do.

I was honored with the position of prgram director of Computer Science in the college of Engineering. My mandate is to retain and then exceed the quality of Masters Students entering into the college.
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Receiving Inventor of the Year award, University of Colorado,

University of Colorado awards Dr. Lewis with Inbentor of the year, computational neurosciences.

Curriculum Vitae

SImilar to that of a resume.

Published Works

Artificial Intelligence. A broader class which includes Machine Learning. It’s a broad term referring to machines that can procure up solutions to problems on their own. Cannot reprogram itself. Uses Statistics.

Machine learning :: A machine's ability to predict events, know if those predictions were correct or not, and reprogram itself, without human intervention, to never make that same mistake again. Mimics humans by using Rough Set Theory, Fuzzy Logic and KDD.

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classes - Fall 2015

CS 4420/5420

Course introduces general database concepts as well as database system technology. The course covers ER and R data models, R-algebra, SQL, data storage and indexing, query optimization, database design and security. Prer., CS 3300; Engineering students only. Graduate level or Senior Undergraduates. Meets with CS 5420.

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BLAW 20100

Examines the legal significance of ideas, innovations, and start-up organizations. A focus on the issues of intellectual property, including patents, copyrights, and brand protection. Coverage of essential contracts and agents. Prer., Sophomore standing.

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