Rate My Professor Huijuan Wang

Huijuan Wang is an Associate Professor in the Multimedia Computing Group, Department of Intelligent Systems, Faculty of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology. Born in Harbin, China, she obtained her Bachelor of Science degree in Electrical Engineering cum laude from Harbin Engineering University in 2003. She then pursued her graduate studies at Delft University of Technology, earning a Master of Science degree cum laude in Electrical Engineering in 2005 with a thesis on the analysis of the shortest path problem, and a Ph.D. degree cum laude in 2009 with a thesis titled Robustness of Networks. Throughout her career, Wang has held visiting scientist positions at renowned institutions, including Boston University’s Department of Physics since 2011 (hosted by Prof. H. Eugene Stanley), Stanford University’s Department of Electrical Engineering in 2015 (hosted by Prof. Stephen P. Boyd), and Princeton University’s Department of Electrical Engineering in 2022 (hosted by Prof. H. Vincent Poor).

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).