About CISML
The Center for Intelligent Systems and Machine Learning (CISML) is a collaboration of faculty from three colleges and six 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 six 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.
Recent News
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Catalyst Repository Systems now hiring
Catalyst Repository Systems, one of out CISML Industry Affiliates, is hiring three positions for their Denver, CO location. The positions are: XQuery / XML Developer, Utilities / Inbound Developer, and Web UI Developer. These positions are described at http://www.catalystsecure.com/jobs. Those interested should forward their resume via email to Rakesh Bhatt, Director of Software Development (rbhatt [at] catalystsecure [dot] com).
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Dr. Joel Saltz Lecture (Governor's Chair candidate)
Dr. Joel Saltz, Director of the Center for Comprehensive Informatics and Professor/Chair of the Department of Biomedical Informatics at Emory University will be giving a lecture as part of his candidancy for a Governor's Chair position. The overlap of his research with that of CISML faculty and students is significant. Everyone is encouraged to attend Dr. Saltz's lecture.
Title: "Integrative Biomedical Informatics, Big Data, and Extreme Scale Computing"
Location/Time: MK 404, Tuesday, June 11 at 1:30pm
Abstract:
Integrative analyses of large scale spatio-temporal datasets play increasingly important roles in many areas of science and engineering. The recent work in this area by Saltz and team is motivated by application scenarios involving complementary digital microscopy, radiology and "omic" analyses in cancer research. In these scenarios, the objective is to use a coordinated set of image analysis, feature extraction and machine learning methods to predict disease progression and to aid in targeting new therapies.Saltz will describe methods his group has developed for extraction, management, and analysis of features along with the systems software methods for optimizing execution on high end CPU/GPU platforms. He will also describe biomedical results obtained from these studies along with extensions of the computational methods to broader application areas.
Biography:
Dr. Joel Saltz is the director of the Center for Comprehensive Informatics, and professor and chair of the Department of Biomedical Informatics at Emory University. He is an endowed Georgia Research Alliance Eminent Scholar in biomedical informatics, Georgia Cancer Coalition Distinguished Cancer Scholar, and a Fellow of the American College of Medical Informatics. He has held faculty positions at Yale, University of Maryland College Park, Johns Hopkins, and Ohio State. Prior to coming to Emory, he was founding department chair of Biomedical Informatics at Ohio State University. He earned his MD and PhD degrees in computer science from Duke. Saltz is a board-certified clinical pathologist. -
CISML hiring Administrative Specialist I (filled)
We are happy to announce that Ms. Julie Knoefel has accepted our offer of this CISML position. Julie is a UT Knoxville graduate in Advertising from the College of Communications. During college, Julie worked on campus for the Office of Research. After graduation, she worked for the University Systems Facilities Planning Department (now Capital Projects) for 6 years. Julie worked the last 12+ years in commercial construction prior to rejoining the staff at UTK and CISML.
Recent Publications
- A Condensation-based Application of Cramer's Rule for solving Large-Scale Linear Systems by
- Consolidated Actor Critic Reinforcement Learning Model Applied to Face Detection by
- Reinforcement Learning based Visual Attention with Application to Face Detection by
- Mitigation of Catastrophic Interference in Neural Networks Using a Fixed Expansion Layer by