Data is being accumulated, stored and transformed to resources and knowledge at an incredible rate. Database and data management provide crucial properties to make data systems useful and convenient: reliability, efficiency, scalability, concurrency control and high-level query languages.
Data Mining pulls from existing information to seek out patterns that can make intelligent use of data repositories. Beyond finding useful patterns, database and data mining communicate and represent the data and knowledge visually via information visualization.
Faculty who conduct research in Databases and Data Mining
Privacy enhancing technologies, data security and applied cryptographyy
Develops algorithms for transforming "big" biological data into systems biology knowledge
Develops computational approaches and software tools for genomics, bioinformatics and systems biology, and creates computational solutions for big data analytics
Develops techniques to assess and improve the reliability and securty of software systems and applications
Devise, Design, and Develop novel data management and analysis paradigms and tools to support data and knowledge exploration in the Big Data era.
Develops automatic analysis tools for computer security and software testing and analysis
Research areas mainly include cybersecurity, data mining, machine learning, and health intelligence.