Scalable. Interactive. Interpretable.
At Georgia Tech
, we innovate at the intersection of data mining
and human-computer interaction (HCI)
to synthesize scalable, interactive, and interpretable
tools that amplify human’s ability to understand and interact with billion-scale data and machine learning models. Our current research areas: human-centered AI, adversarial machine learning (how to break and protect AI), large graph exploration & visualization, scalable graph mining, cybersecurity & fraud, and social good, health and energy.