College of Science & Engineering
This group's research is in the areas of computer vision, machine learning, computational neuroscience, and healthcare. In particular, they study theoretical foundations and computational innovations in computer vision, inventing new machine learning methods inspired by many AI problems including vision, brain sciences, and medical sciences, and building intelligent systems that leverage both artificial and human intelligence. The research involves heavy use of deep neural networks which require computational resources. For example, recent work develops new deep neural networks to predict where people look in natural scenes, and develops models to classify people with autism from normal individuals. This all uses relatively big data, and benefits from use of MSI resources.