Artificial Intelligence & Machine Learning at Luddy

AI research in the Luddy School crosses departmental and sub-unit boundaries. The work spans many areas of AI, from theoretical foundations to applied research to important applications. This page collates these strands to show the breadth and depth of these research efforts.

View people: Alphabetically         By area         By relationship to AI

Work primarily contributes to AI

Work primarily contributes to another field, in addition to AI

Paul Macklin
Computational Biology

Beth Plale
Data Governance and High Performance Computing

Selma Sabanovic
Human-Robot Interaction