Keynote - Beyond Vis(Sec): Emerging Trends in Data Science for Cybersecurity
2022
He enjoys teaching introductory programming, theory of computation, data visualization, and machine learning. His research program investigates the complementary nature of human and machine computation as used in visual analytics and other human-machine collaborative systems. These systems make use of the human visual system, as well as our capacity to understand and reason about complex data. He chairs the VAST Challenge, and has published his technical contributions in the areas of visualization theory, human-computer interaction, educational technology, visual analytics systems and human computation. Prior to returning to academia, Crouser spent two years doing research and building analytical tools at MIT Lincoln Laboratory.