Smart Data Services for Sensemaking in Human-Centered Dynamic Systems
K. Selçuk Candan
Date/Time: Friday October 23, 19:00 - 20:20 UTC
Many socio-economical critical human-centered domains (such as sustainability, public health, emergency management) are characterized by highly complex and dynamic systems, requiring data and model driven situational awareness and decision making. Successfully tackling many urgent challenges in these domains requires obtaining a deeper understanding of complex relationships and interactions among a diverse spectrum of entities in different evolving contexts. Models have to be constructed in the presence of sensed data, along with applicable physical models, from multiple sources, often characterized by varying levels of coverage and accuracy . Moreover, both data and models required for the said situational awareness and predictions are defined over high-dimensional and time-varying parameter spaces. Thus, smart data services in these domains necessitate addressing several major challenges, including latent contexts of impact, heterogeneous networks of entities, dynamicity of impact in varying contexts, and high computational and I/O costs of context-sensitive impact discovery. These algorithms and the novel data platforms they are deployed in need to be efficient and scalable in terms of off-line and on-line running times and their space requirements. In this talk, we will provide several examples from pandemic response and disaster planning, neurology, and resilient buildings and briefly discuss outlines of possible computational approaches to these smart data services.
K. Selcuk Candan is a Professor of Computer Science and Engineering at the Arizona State University and the Director of ASU’s Center for Assured and Scalable Data Engineering (CASCADE). He research spans various scalable data and multimedia retrieval challenges and he has published over 200 journal and peer-reviewed conference articles, one book titled "Data Management for Multimedia Retrieval", and 16 book chapters. He has 9 patents. Prof. Candan served as an associate editor for the Very Large Databases (VLDB) journal, IEEE Transactions on Multimedia, and the Journal of Multimedia. He is currently in the editorial boards of the ACM Transactions on Database Systems, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Cloud Computing. He also serves in the review board of the Proceedings of the VLDB Endowment (PVLDB). 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). In 2010, he served as a program committee group leader for ACM SIGMOD’10 and PC Co-Chair for ACM International Conference on Image and Video Retrieval (CIVR) 2010. 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. In 2015, he served as a general co-chair for the IEEE International Conference on Cloud Engineering (I2CE). In 2017, he served as a program chair for the International Conference on Database Systems for Advanced Applications (DASFAA) and in 2019, he served as a program chair for the ACM Int. Conference on Multimedia Retrieval (ICMR). He is a General co-Chair for the IEEE Smart Data Services (SMDS) conference in 2020. 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, and industries. 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.