Aleksandr Gevorgian

Aleksandr Gevorgian is a Researcher at the Faculty of Engineering of the Free University of Bozen-Bolzano, Italy. His work focuses on renewable energy systems, machine learning applications in environmental modeling, and sustainable building design. Gevorgian specializes in solar energy prediction, particularly in mountainous regions, and integrates 3D GIS technology with machine learning for urban energy efficiency solutions.

His research interests include addressing data scarcity challenges in energy forecasting, hybrid algorithm development for solar irradiance modeling, and climate-specific building energy performance analysis. He has contributed to European-wide studies on building stock energy efficiency, emphasizing policy implications and comparative analyses across countries.

Gevorgian’s publications (2021–2024) demonstrate a strong focus on bridging computational methods with environmental engineering, aiming to optimize renewable energy utilization in complex geographical settings. No scientific awards or grants are explicitly mentioned in the provided texts. His current position involves collaborative research within the Faculty of Engineering’s research initiatives at NOI Techpark in Bozen-Bolzano.