The principal goals of this course are: 1) to learn the fundamentals of object-oriented programming, 2) to gain skill and proficiency in using the C++ programming language, 3) to exercise the C++ language in implementing a moderate sized software system designed with objects. Prer., CS 2060, CS 2080; Engineering majors only. Workload: I expect students to devote an average of 6-7 hours per week outside of class on work for this class. Some of that work will be in teams.
machine learning complex systems
helloI'm an Associate Professor of Computer Science at the University of Colorado at Colorado Springs.
Rory Lewis, 2015
Curriculum VitaeOnline version here. Download a PDF version here.
ResearchMy 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.
AuthorI have authored several books for programming iOS devices using Objective-C. Published under APress / Springer, translated into four languages that are sold in bookstores and used in colleges around the world.
MusicMy PhD dissertation was the link between neurosciences and the mathematics of music theory. I developed a system that could learn emotions in music and change the music to fit a different emotion.
TeachingIn 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.
LawBefore academia, I worked at Fulbright & Jaworski (Austin and San Francisco), and at Skjervan Morril (San Jose) where I helped litigate intel v. AMD. Nowadays, I advise in biomedical high tech litigation.
SportsKera and I participate in triathlons, XC & telemark skiing. I am also a cat-2 road cylist and run marathons.
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 aect, if at all, how one may dress, behave in society, solve problems and deal with anger and other emotional states
Travelled to Washington DC to discuss licensing agreement with Dr. Waziri.
Teamed up with Mathematics PhD student Ronald Broberg.
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.
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.
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.
University of Colorado awards Dr. Lewis with Inventor of the Year, Computational Neurosciences
Curriculum VitaeSImilar to that of a resume.
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.