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An image showing the logo of IRIS. The letters "I", "R", "I", "S" in orange, blue, green, and red coloring respectively.

About Us

The Imaging, Robotics, and Intelligent Systems (IRIS) Laboratory is located in Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. IRIS focuses on the following research topics:

  • Object Detection and Classification
  • 3D Scene Reconstruction
  • Tracking and Re-identification
  • Image Processing
  • Real-time Processing

Latest Works

  • SWaP Devices for Edge-Computing
    (Credit to work done by David Cornett and Clay Leach) Description For most research-based applications of Neural Networks (NNs), the go-to compute device for various network tasks, such as inferencing and training, have been Graphics Processing Units (GPUs). This is because of their relatively high throughput and memory speeds, as well as their ability to do matrix and linear algebra much faster than […]
  • Degradation Analysis in Real-Time Devices for Neural Networks
    Description Typically, Object Detectors and Classifiers are composed of Convolutional Neural Networks (CNNs) that can exhibit human-like feature extraction, but can also have unrelated difficulty in comprehensively comprehending the contents of an image. Understanding how such a neural network can behave when non-ideal images are processed can be integral for real-time applications. Additionally, implementing methods of correcting damaged or “degraded” images can also […]