Artificial intelligence research at our institution focuses on computer vision, intelligent systems and machine-learning applications for complex data analysis. Our faculty develop innovative algorithms and frameworks for visual reasoning, multimodal learning and spatiotemporal analysis.


Intelligent Vision System Lab

Director: Chulwoo Pack

Focuses on developing fundamental frameworks for intelligent computer vision systems that enhance accessibility and discoverability in complex, large-scale data. Research areas include:

  • Document and video (multimedia) analysis
  • Deep learning and multimodal learning
  • Visual reasoning systems

Intelligent Vision Systems Lab

Director: Kwanghee Won

Intelligent Vision Systems Lab

Dedicated to advancing 2D and 3D computer vision and artificial intelligence. The lab focuses on:

  • Developing innovative algorithms for processing visual and multimodal data.
  • Creating deployable deep learning models for intelligent systems across various domains.

Wireless Networking and Mobile Computing Lab

Director: Jun Huang

Wireless Networking and Mobile Computing Lab

Dedicated to advancing research in wireless communication, mobile edge computing and AI-driven networking. The lab focuses on:

  • Next-generation networking technologies including wireless federated learning
  • Vehicular networks and intelligent control for Internet of Things applications
  • Developing scalable, energy-efficient and AI-enhanced networking solutions
  • Solving real-world challenges in autonomous systems, smart cities and precision agriculture
  • Research using state-of-the-art software-defined radios, unmanned aerial vehicles and edge computing platforms

3D Perception and Scientific Imaging Lab

Director: Ruyi Lian

3D Perception and Scientific Imaging Lab

Advances 3D perception research across natural images and specialized scientific imaging modalities, from everyday scenes to complex microscopic and telescopic structures. The lab focuses on:

  • Image-based object pose estimation with deep geometric understanding
  • 3D segmentation, reconstruction and analysis from specialized scientific imaging modalities
  • Interdisciplinary applications of 3D vision algorithms for assistive system
Contact us
Photo of McComish Department of Electrical Engineering and Computer Science
McComish Department of Electrical Engineering and Computer Science
Physical Address
1250 8th St.
Brookings, SD 57007
Mailing Address
Daktronics Engineering Hall 214, Box 2222
Brookings, SD 57007
Hours
Mon - Fri: 8:00 a.m.-5:00 p.m.
Closed during state holidays.
Follow Us