Published numerous papers in top conferences such as ICDM, KDD, and SIGMOD, covering topics like socialized Gaussian process model for human behavior prediction, learning personal + social latent factor model for social recommendations, reliable clustering on uncertain graphs, and scaling reachability computation on large graphs.
Research Experience
Teaching: Big Data & Analytics (CS4/6/79995), Spring 2014.
Background
Currently an associate professor in the Computer Science Department at Kent State University. General research interests include Data Mining, Databases, Biomedical Informatics, and Cloud Computing. The current focus is on Big Data, particularly large graph data, developing novel algorithmic and system solutions for managing and analyzing massive graph and network data, with applications in semantic web, social networks, biomedical informatics, and transportation systems.