Rate My Professor Huijuan Wang

Wang's professional trajectory at Delft University of Technology began as a tenure-track Assistant Professor in the Network Architecture and Services Group from 2009 to 2013, followed by a tenured Assistant Professor role in the Multimedia Computing Group from 2013 to 2020, and promotion to Associate Professor in 2021. Her research centers on Network Data Science, focusing on data-driven modeling of dynamic processes—such as viral spreading, opinion interactions, social and financial contagion, cascades of failures, and criminal organizations—on interdependent, time-evolving, and multi-layer networks. Applications include critical infrastructures, social networks, urban systems, economic systems, and brain networks, with emphasis on characterizing, predicting, and modeling temporal higher-order networks. Notable publications include 'Correlation between centrality metrics and their application to disease dynamics' (2015), 'Emergence of Modular Structure in a Large-Scale Brain Network with a Fixed Connectome' (2010), and 'Information diffusion backbones in temporal networks' (2019), contributing to her over 3,300 citations. Wang has significantly influenced the field through leadership roles: Co-Founder and Co-Chair of the Dutch Network Science Society (2018-2022), Chair of the Netherlands Platform of Complex Systems (2021-2022), Board Member of the Network Science Society, and Editorial Board Member of Scientific Reports by Nature. She also chaired the Board of Examiners for Computer Science and Embedded Systems (2019-2023) and teaches courses such as Modelling and Data Analysis in Complex Networks (CS4195).