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Aditya Prakash works on collaborative project about the Russian flu epidemic

DAC faculty member Aditya Prakash, an assistant professor in the department of computer science is working on a multi-disciplinary project about the Russian flu epidemic of the late 19th century.  He is working with faculty in the department of history, specifically professor Tom Ewing and associate professor Amy Nelson.  They have received a $175,000 grant from the […]

Laxmi Parida

Liang Zhao

Liang Zhao was a DAC Ph.D. student in the Department of Computer Science.  He was advised by Chang-Tien Lu.  His research interests include data mining and machine learning, with particular emphasis on social media modeling, feature selection, and text mining. He has led the papers in prestigious conferences and journals including ACM SIGKDD, IEEE ICDM, […]

Jinghe Zhang

Nathan Self

Nathan Self is a research associate in the Department of Computer Science and a member of the Sanghani Center. He worked for a number of years in industry before joining DAC as a graduate assistant working on interactive visualizations for the EMBERS event forecasting project.  He is now working on custom interactive visualizations for the […]

Efficiently spotting the starting points of an epidemic in a large graph

Fast influence-based coarsening for large networks

SansText: Classifying temporal topic dynamics of Twitter cascades without tweet text

SharkFin: Spatio-temporal mining of software adoption and penetration

Approximation Algorithms for Reducing the Spectral Radius to control Epidemic Spread