SERVIVE (Service Oriented Intelligent Value Adding Network for Clothing-SMEs embarking in Mass-Customisation)
In the next few years the small-scale success stories of the early adaptors can and should be used as the foundation for the implementation of Mass Customisation in Fashion throughout Europe on a wide and large scale. SERVIVE aims to be the launching platform enabling large-scale implementation of Mass Customisation in the European Fashion Domain.By bringing together all the key players of the garment production process (designers, industry, customers), SERVIVE aims at the mass customization and personalization of the process. The core of the system is a component that models the preferences and characteristics of the customer (e.g. biometrics, age, etc.), based on a generic personalization server (PServer) that is provided by NCSR “Demokritos”. Personalization uses customer types, which evolve over time, through the analysis of data collected from the users.

INDIGO (Interaction with Personality and Dialogue Enabled Robots)
The goal of INDIGO is to develop technology that will facilitate the advancement of human-robot interaction. This will be achieved both by enabling robots to perceive natural human behaviour as well as by making them act in ways that are familiar to humans. To achieve its goals, INDIGO will exploit and advance various enabling technologies. Additionally, it will focus on the integration of the involved technologies in a robotic platform.
Participants: Foundation for Research and Technology - Hellas (GR), University of Edinburgh (UK), Albert-Ludwigs University of Freiburg (DE), Athens University of Economics and Business (AUEB), University of Geneva (SZ), Neobotix / GPS (DE), Acapela Group (BE), HANSON Robotics (US), NCSR "Demokritos" (GR)
Programme: FP6-IST Cognitive Systems
Start: February 2007, End: August 2009

BETSY (Strep IST< Sep 2005 – March 2007), Adapting multimedia steams to preserve energy in mobile devices.

GENESTREAM (IST project. Jun 2002- Dec. 2003), Automatic categorization of information in the field of biotechnology: classification of bioinformatics’ articles according to Gene Ontology. In particular, I designed and implemented a workflow that the retrieved functional, structural and pathway information for a set of identified proteins.

BIOGRID (IST project, Sep. 2003- Sep. 2004), Development of a Grid technology for knowledge extraction in bioinformatics. In particular, integration of resources and fast computation of protein interaction maps were the primary targets. I was mainly involved in the distributed computation of the protein interactions maps, this involved the deployment of grid architecture, performing the experiments and evaluating the results.

MVU (Mediterranean Virtual University: EUMEDIS project, Jul 2005-Sep 2005). Development of the “Computational Biology” course in a distance learning environment.

PHYSTA (Principled Hybrid Systems: Theory and Applications, Training and Mobility of Researchers, 1998-2000). Development of a system for the automatic recognition of emotions in human faces. The methods have been based on image recognition, hybrid neural networks, fuzzy logic and rule extraction from neural networks.

MODULATES (Multimedia Organisation for Developing the Understanding and Learning of Advanced Technology in European Schools, 1998-2000), E.C. Educational Multimedia Task Force project.