Our Mission


Our Mission - Picture Number 1

Every day modern society generates an astounding amount of digital data, from which researchers in different fields wish to produce useful knowledge. The laboratory focuses on developing infrastructures for data management and analysis that are based on a solid theoretical basis.

The research in the laboratory is conducted by the faculty members, by their M.Sc. and Ph.D students, and by post-doctoral fellows. In addition to research activities, the laboratory offers basic and advanced courses for undergraduate students, including project courses that combine theory with practice. The laboratory possesses significant computing resources that are utilized by the researchers. The laboratory chief engineer manages and coordinates the laboratory activities with the support of a part time software engineer and an administrative assistant.


  • To develop efficient and reliable infrastructures for data management and analysis by creating a solid theoretical basis and programming solutions for practical problems.
  • To build systems for data consumers and develop technologies for storing data in the cloud.
  • To predict future global events based on Web dynamics and knowledge.
  • To promote the research of faculty members, and to educate students in the laboratory research areas.

Research Focus and Interests

Our Mission - Picture Number 2Developing algorithms for data analysis, building and analyzing systems for managing structured data and unstructured data (e.g., text), data cleaning, developing tools for coping with errors and the lack of consistency in data, algorithms for data mining and finding recurring patterns in data, statistical data management, developing systems for building statistical models on top of databases, building databases in different fields and from different sources, adapting distributed databases to the cloud environment, adapting NoSQL technologies to the cloud, optimal data storage in the cloud, predicting future population behavior based on Web evolution and user behavior, combining Web dynamics and knowledge to build systems that alert about upcoming future global events.