Huiping Cao
Dr. Huiping Cao is an Associate Professor in Computer Science at New Mexico State University (NMSU). She received her Ph.D. in Computer Science from the University of Hong Kong. Dr. Cao’s research interests are in the general areas of data mining, big data, and applied machine learning. In particular, she is interested in creating effective and efficient computational methodologies for the discovery of useful knowledge from complex data (e.g., sequences and graphs) through pre-defined mining requests or ad-hoc queries. Her past and ongoing research projects include discovering sequential patterns from spatiotemporal data, integrating heterogeneous data from multiple sources, query processing over spatial databases and graph databases, mining influence information from graphs (e.g., social networks), and clustering and classifying power-system data to detect disturbances. Her work has been sponsored by several NSF awards. She has published data management and data mining articles in highly competitive venues. Dr. Cao has served at the editorial board for Journal on Data Semantics (JoDS), as reviewer for peer-reviewed journals, and as program committee member for many international conferences and workshops.