Research at the Department of Information Technologies
The research at the department is organized around research laboratories and research groups. Each laboratory and research group has its own leader, who is responsible for the research carried out at the lab and for the group of researchers at the lab (faculty, post docs, Ph.D. students and M.Sc. students). All but one of these labs is also a TUCS research lab. The motivation for forming the research laboratories was to empower researchers and encourage them to start their own research groups and take responsibility for advancing their own field of research. This strategy has worked well, with all research labs now being quite active, both in carrying out research projects and in applying for external funding.
We have two larger research centers at the department, formed as co-operations between specific laboratories.
CREST (Center for Reliable Software Technology, leaders R - J. Back, J. Lilius, K. Sere), consists of the Computational biomodelling, Data mining and knowledge management, Distributed systems, Embedded systems, High performance computing and communication, Learning and reasoning, and Software construction labs. CREST's research is focused on the development and analysis of software intensive systems and on the use of software based research paradigms in systems modeling and development. CREST's key competencies are in formal methods for software development, construction of embedded systems, software processes, high performance and energy efficient computing, systems biology, data mining and CS education.
IAMSR (The Institute for Advanced Management Systems Research, leader C. Carlsson) consists of the Mobile commerce laboratory and the Soft computing research group. The present research focus of IAMSR is the use of soft computing and intelligent systems technologies in decision making in organizations. The center builds on a research tradition in management science and information systems research, focusing on (i) approximate reasoning, knowledge mobilisation, multi-agent systems, (ii) mobile technology applications, mobile value services, mobile business models, and (iii) soft computing, multiple criteria decision making, and real options valuation.
The following research expertise is available at the Department of Information Technologies