Social network analysis

Huan Liu

Huan Liu

Prof. Liu’s research focuses on social network analysis, machine learning (ensemble methods, active learning, rule extraction, feature selection and discretization, subspace clustering), data mining (data quality and integration, stream data reduction, bioinformatics, algorithm scaling-up) and real world applications (CRM, Egeria detection in imagery, intelligent driving data analysis, recommender systems). He Liu joined ASU after conducting research in Telecom (Telstra) Australia Research labs. 

Paulo Shakarian

Paulo Shakarian

Prof. Shakarian specializes in data mining, social network analysis, and cyber security.  His group, the Cyber-Socio Intelligent Systems Laboratory (CySIS) is focused on the  development new of novel techniques to tackle data mining problems relating to socio-cultural systems as well as cyber-physical systems.  Specific focus application areas include social media analytics, law enforcement, malware analysis, deep web mining, and infrastructure protection.

Yasin Silva

Yasin Silva

Prof. Silva’s research focuses on scalable and efficient database systems. The focus of his research is two-fold: advancing database systems to respond to requirements of multiple emerging applications (e.g., exploratory data analysis, decision support, and social networking), and extending fundamental concepts of database systems to new data management platforms (e.g., big data systems). His specific areas of interest include: similarity-aware data analysis (e.g., similarity search and similarity-based clustering), database query processing and optimization, big data analytics, privacy assurance in databases, and scientific database systems.

Hanghang Tong

Hanghang Tong

Prof. Tong's research interest is in large scale data mining for graphs and multimedia, with applications to social networks analysis, healthcare, cyber-security and e-commerce. He has published over 80 referred articles and more than 20 patents. He is the associated editor of ACM SIGKDD Explorations and has served as a program committee member in top data mining, databases and artificial intelligence venues. Before joining ASU, he was a research staff menber at IBM T.J Watson Research Center.

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