Researcher

Hossein Tabari

Research Expertise (University of Antwerp):Hossein Tabari is a scientist who works in the sustainable development domain. He tackles operational and decision-making challenges in this domain using a multidisciplinary approach that draws upon his knowledge of physical processes, statistical models, computational statistics, and data-driven learning tools. Currently, his research focuses on using machine learning to assess and mitigate the impacts of climate change on extreme events. As part of his efforts to mitigate the impacts of climate change, Tabari is promoting the use of renewable energy sources. To achieve this goal, he employs physics-informed machine learning techniques for forecasting and projections. Specifically, he uses physics-based models to provide the underlying physical constraints, while machine learning models provide the flexibility to capture complex dynamics and interactions between climatic variables. By combining these approaches, Tabari aims to develop effective solutions for mitigating the effects of climate change.

Keywords (University of Antwerp):RENEWABLE ENERGY, CLIMATE CHANGE, CLIMATIC EXTREMES, MACHINE LEARNING, Electronics and electrical engineering

Disciplines (University of Antwerp):Machine learning and decision making, Meteorology, Climate change, Natural hazards, Surface water hydrology, Renewable power and energy systems engineering
Disciplines (KU Leuven):Water engineering

Research techniques (University of Antwerp):Machine learning, Multivariate analysis, Hydroclimate modeling

Users of research expertise (University of Antwerp):Energy companies, Environmental organizations and policymakers