Dr. Yinghui Wu is an Assistant Professor in the Department of Computer and Data Sciences, Case School of Engineering at Case Western Reserve University, US, and a joint staff scientist at Pacific Northwest National Lab, US. He received his Ph.D. in Computer Science from the University of Edinburgh, UK in 2011, and B.S. in Computer Science from Peking University, China in 2007. Before joining CWRU, he held the positions of faculty at Washington State University, research scientist at University of California Santa Barbara, and visiting position at US Army Research Lab. He served as a member of the Network Science Collaborative Technique Alliance (NS-CTA). His research and service have received several awards including the ACM SIGMOD research highlight award (2018), best papers (SIGMOD, VLDB Demo, IEEE Bigdata), and runner-up awards (ICDE), a Google Faculty Research Award, and a VLDB Distinguished Reviewer award. His area is in data management and analytics, including data quality, graph query processing, and knowledge base systems. His research is supported by NSF, DOE, PNNL, USDA, and industry partners. His current research develops scalable graph analytical systems for multidisciplinary database applications.
Many important application data streams can be modeled as a complex graph of entities, where each graph node or entity is associated with a multi-variate time-series. The overall system’s behavior is modeled as a dynamical system, and it evolves through structural changes in the graph, and/or...