معرفی
Mikko Kivelä is an Associate Professor in the Department of Computer Science at Aalto University, where he also obtained his doctoral degree. He holds an Academy Research Fellowship and is affiliated with the School of Science (SCI). His research focuses on network science, complex systems, and their applications in social, transportation, and biological networks. Kivelä’s work emphasizes multilayer networks, temporal dynamics, and the integration of network structure with content analysis.
- Academic Rank: Associate Professor
- Primary Affiliation: Aalto University
- Research Groups: Complex Systems (Cxsys), Multilayer Network Analysis
He completed his Master’s degree at Helsinki University of Technology (2009) and his PhD at Aalto University (2012). His research investigates how network structures influence processes like disease spread, polarization, and social dynamics. Notable projects include the Generalized Network Representation Methods for Polarization (AoF Fellow Salary) and the CON-NET project on online misbehavior detection.
His research outputs span network science fundamentals, algorithm development (e.g., pymnet library), and applied studies on mobility, vaccination strategies, and geopolitical events. Media coverage highlights his work on pandemic modeling and cross-border mobility impacts. Kivelä’s current grants include Academy of Finland and EU funding for projects addressing human security and algorithmic trust.
