
About
Weili Lily Wu is a Professor of Computer Science at the University of Texas at Dallas (UTD), affiliated with the Erik Jonsson School of Engineering and Computer Science. She holds a Ph.D. and M.S. in Computer Science & Engineering from the University of Minnesota (2002 and 1997, respectively). Her research focuses on social network analysis, big data, machine learning, and distributed database systems. She is an IEEE Fellow and recipient of the UCGIS Summer Assembly Student Travel Award (2000).
Research interests include blockchain technologies, spatio-temporal data mining, wireless sensor networks, and algorithmic optimization for large-scale systems. Her work bridges theoretical computer science with practical applications in data-driven decision-making and network security.
Publications span interdisciplinary domains such as computational biology, distributed systems, and database architectures. Recent trends highlight advancements in scalable machine learning frameworks and secure blockchain implementations.
Professional Background: Postdoctoral roles at the University of Minnesota (1996–2002) included Research Assistant and Teaching Assistant. Current roles include leadership in UTD's data science initiatives and academic advising.
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