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Intelligent Systems Lab

The Intelligent Systems Lab in SIC 127 is a shared research lab for artificial intelligence, cognitive modeling and robotics, with high-end GPU workstations and the humanoid robot Gus.
Students at work in the Intelligent Systems Lab, with its wall displays and workstations
The Intelligent Systems Lab in SIC 127

The Intelligent Systems/Cognitions/Robotics Lab (Intelligent Systems Lab), in room 127 of the Science and Innovation Center, is dedicated to research and projects in artificial intelligence, cognitive modeling, robotics and related areas. It’s a shared research lab where faculty and student researchers work side by side, on powerful GPU workstations built for training and running AI models.

Research

The Intelligent Systems Lab supports research in artificial intelligence, cognitive modeling, robotics and machine learning. It is a research lab rather than a teaching lab.

Faculty. The lab’s primary faculty and their research interests:

  • Simona Doboli: artificial intelligence, text mining, deep learning, creativity, neural cognitive models and computational neuroscience.
  • Krishnan Pillaipakkamnatt: data mining and machine learning, algorithms that preserve individual privacy, and the teaching of computational thinking.
  • Gerda L. Kamberova: computer vision, multi-sensor fusion, and decision making under uncertainty.

Student & Faculty Projects

  • Gus the humanoid robot: The lab is home to Gus, a large humanoid robot built with 3D-printed parts by Thomas G. Re.
  • Student researchers whose projects fit the lab’s areas can be given space to work here.

Specifications

The lab’s workstations pair many-core processors with professional NVIDIA graphics cards (GPUs), the hardware that makes deep learning and other AI work fast.

  • Workstations: three high-end Linux workstations running Ubuntu:
    • a Dell Precision 7960 Tower with an Intel Xeon w9-3475X processor (36 cores, 72 threads), 128 GB of ECC memory and two NVIDIA RTX 6000 Ada Generation 48 GB GPUs;
    • a Lenovo ThinkStation P5 with an Intel Xeon W5-2465X processor, 128 GB of ECC memory and an NVIDIA RTX A6000 48 GB GPU;
    • a Dell Precision 5820 Tower.
  • Displays: two large wall-mounted displays for presentation and collaboration, and monitors at each workstation, including a 31.5-inch 4K Lenovo ThinkVision and a 32-inch 4K Dell.

Access & Help

  • Getting in: Entry is by card reader (tap or swipe). Access is for research and projects, and student researchers whose project fits the lab’s broad topics can be granted access if space allows. To request access, contact the department.
  • The Computer Science department maintains the lab’s machines.