Artificial Intelligence and Machine Learning
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
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.
kAI Lab
Director: Kaiqun Fu
Focuses on advancing artificial intelligence, data mining and machine-learning techniques for analyzing complex spatiotemporal systems. The lab develops:
- Innovative computational models and algorithms for real-world challenges.
- Applications in transportation, public safety, environmental monitoring and socio-economic systems.
Wireless Networking and Mobile Computing Lab
Director: Jun Huang
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
