Recent Collaborators

ASU/CSE Awards

Top 5% Faculty Award, Fulton Schools of Engineering, 2014
Top 5% Faculty Award, Fulton Schools of Engineering, 2012

Best Teacher Award, Fulton Schools of Engineering, 2013
Best Teacher Award, Fulton Schools of Engineering, 2013

Top 5% Faculty Award, Fulton Schools of Engineering, 2012
Top 5% Faculty Award, Fulton Schools of Engineering, 2012

Distinguished Service'09
Distinguished Service in Computer Science and Engineering Award, 2009

Researcher of the Year'08
Researcher of the Year Award,2008

Service Faculty'07
Service Faculty of the Year Award, 2007

We received a new grant from NSF to plan an I/UCRC for Assured and SCAlable Data Engineering (CASCADE)

The vision of the proposed NSF I/UCRC Center for Assured and SCAlable Data Engineering (CASCADE) is to enable a fundamental shift from current ad hoc approaches to the engineering of data systems, towards a principled framework for the engineering of data systems that support reliable and timely data-driven decision making. The center will support the innovation of data architectures and tools that can match the scale of the data, and that support timely and assured decision making. Methods for information integration, analytics and visualization will help non-data-experts (in governmental and commercial sectors) to make decisions and to generate value. The key audience for the proposed NSF I/UCRC Center for Assured and SCAlable Data Engineering (CASCADE) include (a) small, medium, and large companies that rely heavily on data services (especially in the finance and energy sectors), (b) small, medium, and large companies in data technologies, and (c) government agencies and regulators. CASCADE will play an important role in developing assured and scalable data technologies that in turn will enable applications and services with significant economic and environmental impact. This includes financial fraud prevention, monitoring financial supply chains and applications in the energy and sustainability sectors. The broader impacts of the proposed project will include technology and knowledge transfer to the industrial sector, graduate and undergraduate education through mentoring of PhD students, and updates to the CSE curriculum through the incorporation of research into existing undergraduate and graduate classes. CASCADE activities will train computer science students in the methodologies that support scalable and secure data engineering and will familiarize them with real world challenges in critical domains including the financial sector and clean energy. CASCADE will also contribute to diversity on the workforce through recruitment of female and minority students.

This planning grant's objective is to organize a meeting with industry partners and the universities to outline a research agenda for CASCADE. The industrial/academic partnerships of CASCADE will enable new algorithms, tools, and systems that securely manage, share, access, and analyze heterogeneous sets of static or transient data to accommodate diverse security requirements, including trust, availability, confidentiality, and integrity. Through synergistic industry/academy partnerships, CASCADE will enable a strategic framework that includes multi-disciplinary teams that translate technological insights obtained from fundamental research into new key technology elements whose different instantiations are deployed for direct impact to various critical industries.


Short bio

K. Selcuk Candan is a Professor of Computer Science and Engineering at the School of Computing, Informatics, and Decision Science Engineering at the Arizona State University and is leading the EmitLab research group. He joined the department in August 1997, after receiving his Ph.D. from the Computer Science Department at the University of Maryland at College Park.

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 various research projects in this domain are funded by diverse sources, including the National Science Foundation, Department of Defense, Mellon Foundation, and DES/RSA (Rehabilitation Services Administration). He has published over 140 articles and many book chapters. He has also authored 9 patents. Recently, he co-authored a book titled "Data Management for Multimedia Retrieval" for the Cambridge University Press and co-edited "New Frontiers in Information and Software as Services: Service and Application Design Challenges in the Cloud" for Springer.

Prof. Candan served an editorial board member of one of the most respected database journals, the Very Large Databases (VLDB) journal. He is currently an associate editor for 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 and one of the best conferences in the area of management of data. 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 served in the review board of the Proceedings of the VLDB Endowment (PVLDB). In 2011, he served in the Executive Committee of ACM SIGMM.

In 2010, he was a program co-chair for ACM CIVR'10 conference and a program group leader for ACM SIGMOD'10. In 2011, he is serving 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 will serve as a general co-chair for IEEE International Conference on Cloud Engineering (IC2E'15).

He is a member of the Executive Committee of ACM SIGMOD and an ACM Distinguished Scientist.

For his curriculum vitae, please click here.