His research interests are in areas of big data, databases, data mining and data analytics, including graph analytics and network science, social/information network analytics and network security. His current research focuses on cost-effective and scalable information systems with adaptive performance and high usability for Big data analytics and management. Yinghui Wu received his Ph.D. in Computer Science from the University of Edinburgh, UK. He was a research scientist at Department of Computer Science, University of California Santa Barbara, and served as a member of Network Science Collaborative Technique Alliance (NS-CTA). More information available at http://eecs.wsu.edu/~yinghui/