A team led by Niklas Elmqvist is working to expand the use of mixed reality, building on ideas already in use while exploring challenges that still need to be addressed like biased data and user costs.
The funding supports his efforts to develop a comprehensive and fundamental understanding of the intertwined statistical and computational aspects of modern generative models.
HCIL researchers developed an interactive sequence recommender that gives users more control and transparency to make consequential life choices compared to existing systems.
The funding supports efforts to make teams of robots more resilient by developing coordination algorithms that can assess the risk of individual robot failure due to unfavorable environments.
Since its inception, QuICS has connected scientists who share the goal of developing a deeper understanding of the capabilities of information processing devices built upon the rules of quantum physics.
She has been inducted into the IEEE Eta Kappa Nu honor society for her excellence in geospatial data visualization and significant contributions to scientific research and education.