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The University of Tennessee

Center for Intelligent Systems and Machine Learning

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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.

Recent News

  • August 29, 2014 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.

  • August 28, 2014 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.

  • August 26, 2014 Opportunity to Intern/Co-op at Huron Legal in Charlotte, NC

    As an industry affiliate of CISML (Center for Intelligent Systems and Machine Learning) in the College of Engineering, Huron Legal is very interesting in hiring one or two college interns (or co-ops) to work on projects in electronic discovery (data analytics for litigation). Ideal candidates would be juniors or seniors in Computer Science Computer Engineering with excellent programming skills in C++, Java, and Javascript. Experience with SQL-database applications would be beneficial. This will be a great opportunity to work on "Big Data" applications in the legal field and could be great practicum for students considering law school. Interested students should send their resume to Ms. Julie Knoefel (jknoefel [at] utk [dot] edu). Selected students will be contacted by representatives of Huron Legal. They are willing to take on interns immediately but reasonable starting dates could be in December or January (2015).