Data analysis

K. Selcuk Candan, Center Director, ASU Site Director

K. Selcuk Candan, Center Director, ASU Site Director

Prof. Candan’s primary research interests are in the area of efficient and scalable management and analysis of heterogeneous (such as sensed and streaming media, web and social media, scientific, and enterprise) data and data clouds.  He is a founding member of ASU’s Information Assurance Center and a senior sustainability scientist at ASU’s Global Institute of Sustainability (GIOS), one of whose missions is to connect researchers with businesses and industry. He has served as a Visiting Scientist at NEC for ~10 years and had collaborations with IBM, HP, JCI, Early Warning, Telecom Italia, and RAI Labs among others. He has 10 patents.  He is a member of the Executive Committee of the ACM Special Interest Group on Management of Data (SIGMOD).

Hasan Davulcu, ASU Site co-Director

Hasan Davulcu, ASU Site co-Director

Prof. Davulcu's research is in data mining and information assurance. Prior to joining ASU, US DOD's Defense Logistics Agency (DLA) funded his work in industry. The intelligent agent product that he developed, while at a software startup, was the recipient of a Long Island Software Achievement Award. He is currently the PI for an NSF Partnership for Innovation grant in which he collaborates with Candan and Early Warning services LLC, to develop a platform to enable integration and enrichment of limited private financial data with larger publicly available data sets to detect fraud and reduce losses due to fraudulent transactions. His recent research in socio-cultural modeling and analysis is funded by a US Department of Defense (DOD) Minerva Award.

Ross Maciejewski

Ross Maciejewski

Prof. Maciejewski's primary research interests are in developing novel tools and methods for exploring, analyzing and visualizing data across a variety of domains including climate, public health, social media, criminal incident reports and dietary analysis. How work explores the extraction and linking of disparate data sources exploring combinations of structured geographic data to unstructured social media data to enhance situational awareness.  

Yasin Silva

Yasin Silva

Prof. Silva’s research focuses on scalable and efficient database systems. The focus of his research is two-fold: advancing database systems to respond to requirements of multiple emerging applications (e.g., exploratory data analysis, decision support, and social networking), and extending fundamental concepts of database systems to new data management platforms (e.g., big data systems). His specific areas of interest include: similarity-aware data analysis (e.g., similarity search and similarity-based clustering), database query processing and optimization, big data analytics, privacy assurance in databases, and scientific database systems.

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