معرفی
Zhiren Huang is a Research Fellow in the Department of Computer Science at Aalto University. His work focuses on urban mobility systems, big data analytics, and transportation engineering. He investigates multi-modal transport systems, public transport efficiency, and human mobility patterns using advanced data fusion techniques.
Key research themes include the analysis of traffic networks, event-driven mobility shifts, and crisis response strategies during disruptions. His work contributes to UN Sustainable Development Goals related to sustainable cities and communities (Goal 11) and climate action (Goal 13).
Recent studies explore topics like stop-level connectivity in public transport systems (2024), entropy-based traffic prediction (2024), and inter-regional mobility during disruptions (2023). He has also developed frameworks for subway expansion planning (2022) and crowd density management in metro systems (2021).
Huang has been actively involved in peer review for journals like Transportation Research Part B and Physical Review Letters, and has presented research at international conferences. He holds patents related to traffic demand estimation and participated in media outreach for studies on mobility during disruptions.
