Cristina Maier’s primary research interests lie in data science, data-driven systems, and adaptive algorithms, with a particular focus on recommender systems, clustering methods, autonomous systems, ...

Plants generate signals across many scales, from molecular activity to whole-plant physiology, that can now be measured, analyzed, and modeled with computational tools. This interdisciplinary course ...

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the predictability of ...

University of Maryland computer scientist Dinesh Manocha, in collaboration with a team of colleagues from Baidu Research and the University of Hong Kong, has developed a photo-realistic simulation ...