The Center for Intelligent Systems and Machine Learning (CISML) is a collaboration of faculty from three colleges and eight academic departments at the University of Tennessee (UT), and is part of the College of Engineering on the Knoxville campus. Beginning as a simple faculty initiative to create a unified curricula, CISML evolved (in October 2010) into an official UT research center that studies the theory and application of intelligent systems and machine learning. In addition to UT faculty, the Center's research staff is comprised of eight experts from Oak Ridge National Laboratory (ORNL).
CISML's focus is on designing computer-based systems that exhibit intelligent behavior, operate autonomously, and adapt to environmental changes. Examples of the diverse research activities in this area include pattern recognition, robotics, artificial intelligence, biologically-inspired cognitive architectures, bioinformatics, and data mining, to name a few.
Berry helps DOE with Machine Learning Workshop
Dr. Michael Berry is in Washington, DC, during the fall 2014 semester serving an Intergovernmental Personnel Act Assignment (IPA) with the Office of Science at the US Department of Energy in Germantown, Maryland. He is helping to organize a national workshop on machine learning and am developing strategies for future workforce development. Berry is performing in this role while continuing to direct the Center for Intelligent Systems and Machine Learning (CISML).
KDD 2014 in NYC ~ Premier Conference in Data Science
Dr. Denise Koessler Gosnell, PhD Graduate this May, says KDD at Bloomberg was amazing! Dr. Gosnell is recently employed with PokitDok in Charleston, SC. Click HERE to read article and Click HERE for full size Poster.
Belk Summer Internship Reflections
Sadika Amreen, Computer Science Graduate Student, shares about her Internship at Belk in Charlotte, NC this summer. Click HERE to read article and see pictures.
- A decentralized architecture for multi-robot systems based on the Null-Space-Behavioral control with application to multi-robot border patrolling by
- IQ-ASyMTRe: Forming Executable Coalitions by
- Simplex-Based 3D Spatio-Temporal Feature Description for Action Selection by
- Calibrating Building Energy Models Using Supercomputer Trained Machine Learning Agents by