​Machine Learning & Artificial Intelligence

The general goal of Artificial Intelligence and Machine Learning research is to develop intelligent agents to make rational decisions based on observations, learn from experience and automatically extract knowledge and patterns from data. Faculty in this group design novel algorithms and study their theoretical properties and real-world applicability.

Research in this area includes:

  • Machine Learning
  • Data Mining
  • Information Retrieval
  • Artificial Intelligence
  • Automated Planning
  • Statistical Learning
  • Pattern Recognition
  • Knowledge Discovery
  • Data Science
  • Computer Vision
  • Computer Graphics
  • Computational Photography
  • Image Processing
  • Signal Processing
  • Theory
  • Algorithms
  • Distributed Computing
  • Parallel Computing
  • Big Data