Laboratory for Learning Research

We perform research in learning (as well as learning how to perform research). We are interested in machine (computational) learning techniques in making systems adaptive and intelligent. Data mining is a related topic. While machine learning tries to emulate human learning to achieve artificial intelligence, data mining attempts to gain insights from data.

Want a challenge? Want to learn? Contact Philip Chan

Publications

Members
  • Ebad Ahmadzadeh
    Maximizing influence spread in networks

  • Mehadi Hassen
    Classifying malware from call graphs

  • Andre Kuroswiski
    Identifying student behavior to improve performance in online courses

  • Kai Wang
    Incrementally learning new classes

  • Alumni and Theses

Dec 2015


Nov 2015

Past Projects