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Seminar Scalable Retrieval and Analysis of Multi- variate Temporal Data Sets Speaker: Prof. K. Seluck Candan , Arizona State University Date/time and venue: Feb. 26th, 2014, 10:00 a.m., 3D03 (via Skype).
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SeminarScalable Retrieval and Analysis of Multi-variate Temporal Data SetsSpeaker: Prof. K. SeluckCandan, Arizona State UniversityDate/time and venue: Feb. 26th, 2014, 10:00 a.m., 3D03 (via Skype) • Abstract: Data- and model-driven computer simulations for understanding spatio-temporal dynamics of emerging phenomena are increasingly critical in various application domains, from predicting geo-temporal evolution of epidemics to helping reduce energy footprints of buildings leading to more sustainable building systems and architectural designs. These simulations track 10s or 100s of inter-dependent parameters, spanning multiple information layers and spatio-temporal frames, affected by complex dynamic processes operating at different resolutions. Consequently, the key characteristics of data sets and models relevant to these data-intensive simulations often include the following: (a) voluminous, (b) multi-variate, (c) multi-resolution, (d) spatio-temporal, and (e) inter-dependent. While very powerful and highly modular and flexible simulation software exists, because of the volume and complexity of the simulation data, the varying spatial and temporal scales at which the key transmission processes operate and relevant observations are made, today experts lack the means to adequately and systematically interpret observations, understand the underlying processes, and re-use of existing simulation results in new settings. In this talk, I will discuss computational challenges that arise from the need to process, index, search, and analyze, in a scalable manner, large volumes of temporal data resulting from data-intensive simulations and present some of the solutions my team are building. • Speaker’s bio: K. SelçukCandan is a Professor of Computer Science and Engineering at the Arizona State University. He has published over 160 journal and peer-reviewed conference articles, one book on multimedia retrieval, 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 is also in the editorial board of the IEEE Transactions on Multimedia and the Journal of Multimedia. He has served in the organization and program committees of various conferences. In 2006, he served as an organization committee member for SIGMOD'06, the flagship database conference of the ACM. In 2008, he served as a PC Chair for another leading, flagship conference of the ACM, this time focusing on multimedia research (MM'08). More recently, he served as a program committee group leader for ACM SIGMOD’10. He also serves in the review board of the Proceedings of the VLDB Endowment (PVLDB). In 2011, he served as a general co-chair for the ACM MM'11 conference. In 2012 he served as a general co-chair for ACM SIGMOD'12. He has successfully served as the PI or co-PI of numerous grants, including from the National Science Foundation, Air Force Office of Research, Army Research Office, Mellon Foundation, HP Labs, and JCI. He also served as a Visiting Research Scientist at NEC Laboratories America for over 10 years. He is a member of the Executive Committee of ACM SIGMOD and an ACM Distinguished Scientist. You can find more information about his research and an up-to-date resume at http://aria.asu.edu/candan.