Prof. K. Selçuk Candan
Professor of Computer Science and Engineering at the Arizona State University
Biography
K. Selçuk Candan is a Professor of Computer Science and Engineering at the Arizona State University. He is also the Director of ASU’s Assured and Scalable Data Engineering (CASCADE). Prof. Candan's primary research interest is in the area of management of non-traditional, heterogeneous, and imprecise (such as multimedia, web, and scientific) data. His research focuses on scalable and accurate data integration, management, analysis, and machine learning to enable decision support operation of complex systems, including energy systems. He has published over 200 journal and peer-reviewed conference articles, one book, and 16 book chapters. He has 9 patents. Prof. Candan served as an associate editor of one of the most respected database journals, the Very Large Databases (VLDB) journal. He also served in the editorial boards of the IEEE Trans. on Knowledge and Data Engineering, ACM Transactions on Database Systems, ACM Transactions on Cloud Computing, and as founding managing editor for the Proceedings of the ACM on Management of Data. He has served in the organization and program committees of various conferences: in 2021, he served as the General Chair of the IEEE Smart Data Services Conference, in 2022 as the General Chair for ACM WSDM conference, and in 2023 as a PC co-Chair for the ACM SIGMOD conference. He has successfully served as the PI or co-PI of numerous grants, including from the National Science Foundation, DoD, DoE, Mellon Foundation, and several industrial partners. He is a member of the Executive Committee of ACM Special Interest Group on Management of Data (SIGMOD) and an ACM Distinguished Scientist.
