The Information Management Unit is a multi-disciplinary Unit engaged in research and development activities in information Technology Management. IMU is a research unit of ICCS (Institute of Communication and Computer Systems), which was established in 1989 by the Ministry of Education and the School of Electrical & Computer Engineering of the National Technical University of Athens, Greece.
Our work encompasses applied research and is multi-disciplinary in nature. We adopt field-based and action research approaches.
Research in IMU addresses the whole lifecycle from data analysis to computation to decision.
Research Areas
Analyse
from Data to Insight
We mine and combine data and discover useful knowledge by using AI, machine learning and prescriptive data analytics methods
Compute
from Cloud to Edge
We address issues like resource allocation across hybrid environments (cloud, fog, edge) and context-aware security and privacy
Decide
from Intelligence to Prescription
We develop multi-criteria optimisation and collective intelligence methods that proactively recommend the appropriate decisions
IMU is a member of the Big Data Value Association (BDVA) , a fully self-financed non–for-profit organization, which aims to boost European Big Data Value research, development and innovation and to foster a positive perception of Big Data Value. The BDVA is the private counterpart to the EU Commission to implement the BDV public–private partnership programme.
IMU is a member of the Networked European Software and Systems Initiative (NESSI), the European Technology platform dedicated to Software and Services. IMU contributes to the Semantic Technologies, BPM and Service Science Working Groups.
Application Domains
Factories
of the Future
Electronic Governance
Digital health & well-being
Digital
Innovation
Sustainable &
Green Economy
What we’ve been up to
MARBEL website is live!
Working toward the battery of the future for electric vehicles and plugin hybrids: the MARBEL project website is now live! Follow it to be informed about our research on AI-enabled predictions for battery variables such [...]
Extending TOSCA for Edge and Fog Deployment Support
How can we model cloud and edge deployments with one modelling language? In our new paper we present a set of TOSCA semantic extensions to model applications deployed across the computing continuum. Read all about [...]
Publish your research on Human-AI collaboration
We co-organise a special session on Human-centered #AI in Smart #Manufacturing at the APMS2021 Advances in Production Management Systems conference. Call for papers is open. Papers submission deadline is 21 March 2021 The scope of this [...]