Mika Aalto

Mika Aalto is a Post-doctoral researcher at the LUT School of Energy Systems, part of Lappeenranta University of Technology in Finland. His research focuses on agent-based modelling, numerical methods in biofuel quality, and biomass logistics systems. He is based in Mikkeli, Finland, and has contributed to projects such as the SairilaSIM circular economy simulation and biosavu biomass availability studies.

His work integrates spatial data analysis, remote sensing technologies (e.g., LiDAR, multispectral imaging), and machine learning to address challenges in forest resource management, sustainable energy systems, and circular economy frameworks. Key emphases include optimizing biomass supply chains, evaluating transportation logistics, and enhancing the sustainability of forest-based energy production.

Publications highlight advancements in agent-based simulation for biomass terminal operations, lifecycle assessments of supply chains, and the application of computational methods to analyze forest thinning and tree growth. His research bridges theoretical modeling with practical applications, aiming to improve the efficiency and environmental impact of bioenergy systems.

No scientific awards or grants are explicitly mentioned in the provided text. Mika collaborates on interdisciplinary projects, such as EcoSairila circular economy facilities and the PUUSTI initiative leveraging digital tools for sustainable wood supply.