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.
July 3rd ~ Defense of a Dissertation Hao Zhang, Candidate for a Doctor of Philosophy
Announcement of a Defense of a Dissertation
Hao Zhang, Candidate for a Doctor of Philosophy
Dr. Lynne Parker Major Professor
Thursday, July 3, 2014 at 2:00 P.M. ~ 435 Min H. Kao
“3D Robotic Sensing of People: Human Perception, Representation and Activity Recognition”
Click HERE to see announcement/abstract.
Three UT 'Systers' attend Leadership Conference in San Francisco
Three EECS Graduate Students attended the IEEE Women In Engineering International Leadership Conference was held in San Francisco, CA on May 1-4, 2014. Click HERE to read article and see picture.
Two CISML Students from Geography present papers in Tampa
The Association of American Geographers (AAG) 2014 Annual Meeting was held in Tampa, Florida from April 7th to 13th, 2014. It attracted thousands of geographers and other attendees with various backgrounds to enjoy one of the most important events for the geography community. Yang Xu and Ziliang Zhao, two CISML students specialized in Geographic Information Science (GIS), got the opportunity to attend this grand annual meeting with their travel partially supported by the Center for Intelligent Systems and Machine Learning (CISML) at the University of Tennessee, Knoxville. Click HERE to read article and see pictures.
- Classification of T Cell Movement Tracks Allows for Prediction of Cell Function by
- Impacts of the High Speed Rail on Railroad Network Accessibility in China by
- Hierarchial Tone Mapping Based on Image Colour Appearance Model by
- A Bi-Level Voronoi Diagram-Based Metaheuristic for a Large-Scale Multi-Deport Vehicle Routing Problem by