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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 four colleges and nine 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

  • March 21, 2016 Summer intern at NERSC – Berkeley Lab ~ Finding Features in Cosmological Maps

    Cosmology is the study of the Universe, and one of the most important ways we study the Universe is using maps of the sky. These can be maps of the locations of galaxies, or of the matter in the Universe (which includes dark matter). The statistics we derive from these maps give us a powerful probe of the structure and evolution of the Universe, but at present we are limited to a small number of simple statistics derived from theoretical models. This project will use machine learning techniques (including Convolutional Neural Nets) to learn new features in these maps that distinguish between different cosmological models, and that can tell us about the nature of Dark Energy, the mysterious force that is driving the accelerated expansion of the universe. Students should have a working knowledge of Linux and some experience writing code. Familiarity with machine-learning packages (such as Neon, Caffe, SciKitLearn or similar) would be useful. Contact: Debbie Bard (djbard [at]

  • March 18, 2016 CALL FOR PAPERS

    "Neuromorphic Computing Workshop Architectures – Models – Applications”, held June 29-­‐‑July 1, 2016 at the Oak Ridge National Laboratory Conference Center, Oak Ridge, TN. Click HERE to see Call for Papers Pdf.

  • March 16, 2016 THE 2016 AMALTHEA REU PROGRAM

    Apply by March 31 ~ AN OPPORTUNITY FOR A 10-WEEK RESEARCH EXPERIENCE FOR UNDERGRADUATE STUDENTS is available in the area of Machine Learning. The program is sponsored by the National Science Foundation and is offered by the Information Characterization & Exploitation (ICE) Laboratory at Florida Institute of Technology (FIT) in Melbourne, Florida. Machine Learning (ML) gradually evolved as a branch of Artificial Intelligence with its theory and applications positioned at the juncture of Computer Science, Engineering, Mathematics, Statistics and, even, Physics. Nowadays, ML’s role in successfully addressing hard, real-world technological challenges has become ever more current and central. Moreover, its presence and importance now permeates several aspects not only of cutting-edge technology such as computer vision, stock market prediction and big data analytics, but also our daily life through voice-driven searches on our smart phones or movie recommendations on video streaming services to name only a few. The program currently accepts applications in order to form a very diverse, multi-disciplinary cohort of nascent researchers for this summer. Minorities, women and people with disabilities are especially encouraged to apply. ELIGIBILITY Without exceptions, applicants must be: => Majoring in an Engineering or Science discipline => US citizens or permanent residents => Undergraduates in good academic standing Apply online: