Research Areas

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

Lu wins Outstanding Technical Achievement and Leadership Award

Research in this area includes: