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B2. Databases, information and knowledge management
This research area combines expertise in knowledge representation and reasoning, database systems, net-centric information systems, scalable data-driven service-oriented systems, and conceptual modeling. Its grand research challenge is to succeed in the transition from traditional information systems, such as information retrieval systems, database and workflow management systems, to semantically rich, large-scale, scalable and adaptive information systems. Such systems will be characterized by large-scale semantic interoperation, massive distribution, and/or a high level of scalability, robustness, autonomy, and quality-of-service (QoS)-driven self-adaptation. Research in this area typically involves conducting theoretical work on the above issues as well as designing and implementing state-of-the-art prototypes. This research area additionally focuses on applied research in a number of application domains, including cultural informatics, the Internet of Things (IoT), biomedical informatics, e-learning, e-commerce and IT security. Work in these domains has a strong interdisciplinary character, since it includes the aspect of understanding the respective domain and modeling it through an appropriate conceptualization.
Faculty by this area of research:
Research
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In this page you will find the research activities that are currently being carried out in CSD according to the research areas that the faculty members are actively contributing to.

Research Areas Faculty Member
A1. Computer architecture and microelectronics
A2. Computer systems, parallel and high performance computing
A3. Computer security and distributed systems
A4. Computer networks, mobile computing, and telecommunications
B1. Algorithms and systems analysis
B2. Databases, information and knowledge management
B3. Software engineering and programming languages
B4. Artificial Intelligence and machine learning
C1. Signal processing and analysis
C2. Computer vision and robotics
C3. Computer graphics and human-computer interaction
C4. Βioinformatics, medical informatics, and computational neuroscience

The Graduate Studies Program in the Computer Science Department at the University of Crete is carried out in close cooperation with the Institute of Computer Science (ICS) of the Foundation of Research and Technology (FORTH). This collaboration includes: 

(1) Researchers and scientists from ICS-FORTH may undertake the teaching of graduate courses. 

 

(2) Researchers from ICS-FORTH may participate in the supervision of M.Sc. and Ph.D. theses, after approval by the Coordinating Committee for Graduate Studies and by ICS-FORTH. 


(3) After application by a supervisor or by the Coordinating Committee for Graduate Studies, and assuming permission is granted by ICS-FORTH, graduate students may be given access to the hardware, software and in general the laboratory facilities at ICS where they may carry out part or all of their research. 

(4) The Department and ICS-FORTH may jointly invite professors and researchers from other institutes of higher education within Greece or in other countries to give seminars, lecture series, even complete courses, and to collaborate research-wise with researchers and graduate students of the Department and of ICS-FORTH. 

(5) The Institute of Computer Science at FORTH provides a number of bursaries for graduate students and supports financially collaboration of graduate students with other Institutes of Higher Education and Research Centers, within its limits and in accordance with the familiar stipulations.