Serio Agriesti

Serio Agriesti is a Visiting Professor at the Spatial Planning and Transportation Engineering department within Aalto University's Department of Built Environment. His expertise spans transportation engineering, urban planning, and automated mobility systems. He holds a Doctor of Technology (2024) and a Master's degree in Engineering from Politecnico di Milano (2017).

Research Focus: Dr. Agriesti investigates traffic simulation methodologies, automated mobility services, and sustainable urban transportation systems. Key areas include multimodal transportation integration, large-scale transport model calibration, and the application of AI techniques like graph neural networks for traffic flow analysis.

Recent Work Trends: His 2025 articles emphasize seamless multimodal integration, automated mobility demand analysis, and city-scale simulation frameworks. Earlier work (2023–2024) focuses on Bayesian optimization for transport model calibration and sustainability assessment of automated vehicles.

Collaborations: Active in international transport research networks, with presentations at conferences on topics like activity-based modelling integration and synthetic population assignment. Co-developed a Zenodo dataset supporting a traffic simulation review paper (2024).

Teaching/Advising: No formal student advisees listed. Academic contributions include peer-reviewed articles (22+) and datasets shared via academic platforms.