About us
Our group focuses on data science, including artificial intelligence and machine learning, that studies computational models of reasoning, learning, and perception for different applications such as healthcare, energy, and environment.
Artificial intelligence and machine learning explore different ways that machines can learn and make sense of the data. For learning and inference, machines analyze their previous experience (or someone else experience) to find useful patterns and similarities.
This research group investigates various types of machine learning and data analysis techniques with different forms of data, including structured data, symbolic, logical, and relational representations.
The group is also interested in the application of artificial intelligence and machine learning in engineering systems, knowledge discovery, and medical sciences.
