Multi-task learning (MTL) aims to improve generalization performance by learning multiple
related tasks simultaneously. While sometimes the underlying task relationship structure is …

Climate change has increased the intensity, frequency, and duration of extreme weather
events and natural disasters across the world. While the increased data on natural disasters …

The viability of wind power massive use goes through an effective estimation of the power to
be produced in wind farms, one of the fastest growing sources of renewable energy …

Abstract My dissertation, titled “Uncertainty Discourse: Climate Models, Gender, and
Environmental Literature in the Anthropocene,” takes a feminist approach to sustainability …

Multitask learning aims to improve generalization performance by learning multiple related
tasks simultaneously. The joint learning is endowed with a shared representation that …

Predictive modeling uses statistics to predict unknown outcomes. In general, there are two
categories of predictive modeling, parametric and non-parametric. There are many …

Geospatial data have a wide range of applicability in many disciplines, including
environmental science, urban planning, healthcare, and public administration. The …