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Universities, R&D Groups and Academic Networks

IC3K is a unique forum for universities, research groups and research projects to present their research and scientific results, be it by presenting a paper, hosting a tutorial or instructional course or demonstrating its research products in demo sessions, by contributing towards panels and discussions in the event's field of interest or by presenting their project, be it by setting up an exhibition booth, by being profiled in the event's web presence or printed materials or by suggesting keynote speakers or specific thematic sessions.

Special conditions are also available for Research Projects which wish to hold meetings at INSTICC events.

Current Academic Partners:

University of Cagliari

The University of Cagliari was founded in 1606 along the lines of the old Spanish Universities of Salamanca, Valladolid and Léridaand. It is a public state University which has about 31,102 enrolled students and over 1,000  teaching staff. Besides that, about 200 visting professors come to the University of Cagliari yearly. At the moment it is one of the largest enterprises in the Region of Sardinia, thanks to its international policy, studies and its numerous agreements with prestigious universities in Europe and around the world.


Department of Electrical and Electronic Engineering (DIEE) of University of Cagliari

The Department of Electrical and Electronic Engineering (DIEE) of University of Cagliari is a higher education and research organization. It manages and coordinates courses at B.Sc., M.Sc. and Ph.D. level as well as reserach activities in the field of biomedical, electrical, electronic, energy and telecommunication engineering.


SAID (SmArt water management with Integrated Decision support systems)

SAID (SmArt water management with Integrated Decision support systems) is a European project co-funded by the European Union under the 7th Framework Program within ENV-2013-WATER-INNO-DEMO-1, and started officially on January 1st, 2014 for 36 months (2014-2016). The project is a collaboration between four countries; Spain, Germany, Portugal and France. The project was evaluated with a total score 14/15, 7º in the ranking over 200 proposals evaluated.

The project is focused on the deployment and evaluation of a complex demonstrator, composed by several heterogeneous and innovative DSSs in the same river basin, in the south of Spain, which represents many similar basins in Europe. It is based on cutting-edge DSS technologies in four areas:

  • Flood control (including the optimization of dam management);
  • Water quality;
  • Energy production;
  • Energy consumption


The project consortium is comprised of eleven partners. Two research partners: UMA and IHP; six Industrial partners: three large enterprises: ABEINSA, LESSWIRE, and four SMEs: SOFTCRITS, SIMBIENTE, ADDITION, UBIWHERE; one public authority: CMAyOT; and one Water Association: SEMIDE (Euro-Mediterranean Information System on know-how in the Water sector). In total the consortium gathers 4 different EU Member States: Spain, Portugal, Germany and France.


PsyCris (Psycho-Social Support in Crisis Management

PsyCris (Psycho-Social Support in Crisis Management) is an international multi-disciplinary project funded by the European Union with the overall objective to improve psycho-social support in crisis management. Our main goals are: status quo analysis of support in crises in European countries, improvement of support strategies, contingency planning, development of interventions, providing efficient self-help strategies to communities affected by crises as well as investigation of long-term impact of crises. The results will have a significant impact on public health, community resilience, international cooperation and cost containment. For more information please check http://psycris.eu

Hudup - A Framework of E-commercial Recommendation Algorithms

Recommendation algorithm is very important for e-commercial websites when it can recommend online customers favorite products, which results out an increase in sale revenue. The project produces the framework of e-commercial recommendation algorithms, named Hudup. This is a middleware framework or “operating system” for e-commercial recommendation software, which support scientists and software developers build up their own recommendation algorithms with low cost, high achievement and fast speed. Concretely, you need to develop a recommendation solution for online-sale website. You, a scientist, invent a new algorithm after researching many years. Your solution is excellent and very useful but you cope with many difficulties relevant to heterogeneous models in recommendation studies, processing data, evaluation metrics, and simulation environment. Hudup supports you to solve perfectly these difficulties via three stages such as base stage – building up your algorithm, evaluation stage – evaluating your algorithm according to pre-defined metrics, and simulation stage – providing a simulator which helps you to test your algorithm in real-time applications. The product introduction is accepted to be published in American Journal of Computer Science and Information Engineering, American Association for Science and Technology (AASCIT). The product is available at


The consumption of large amounts of multilingual and multimedia content regardless of its reliability and cross-validation can have important consequences on the society. An indicative example is the current crisis of the financial markets in Europe, which has created an extremely unstable ground for economic transactions and caused insecurity in the population. The fact that the national mass media provide exaggerated and contradictory information and the inaptness to understand local contexts from different countries has a considerable share in the aggravation of the crisis.

To break this spiral, we need multilingual technologies with sentiment, social and spatiotemporal competence that are able to interpret, relate and summarise economic information and news created from various local subjective and biased views and disseminated via TV, radio, mass media websites and social media. To address these challenges, MULTISENSOR will mine heterogeneous data from the aforementioned resources and apply multidimensional content integration.

MULTISENSOR will go beyond the state of the art by proposing the following scientific objectives: a) content distillation of heterogeneous multimedia and multilingual data; b) sentiment and context analysis of content and social interactions; c) semantic integration of heterogeneous multimedia and multilingual data; d) semantic reasoning and intelligent decision support; e) multilingual and multimodal summarisation and presentation of the information to the user. To achieve multidimensional integration of heterogeneous resources, MULTISENSOR proposes a content integration framework that builds upon multimedia mining, knowledge extraction, analysis of computer-mediated interaction, topic detection, semantic and multimodal representation as well as hybrid reasoning. The developed technologies will be validated with the aid of 3 main use cases: i) Journalism, ii) commercial media monitoring and iii) SME internationalisation.


The BMBF research program “IT-Security for Critical Infrastructures” has been initiated as part of the “High Tech Strategy 2020” of the German Federal Government. In order to evaluate and to improve IT Security of critical infrastructures, the project VeSiKi “Networked IT-Security of Critical Infrastructures” (Vernetzte IT-Sicherheit Kritischer Infrastrukturen, acronym “VeSiKi”), accompanies various projects from different critical infrastructure backgrounds to establish a collaborative research process among these projects (see joint research projects: http://vesiki.w3.rz.unibw-muenchen.de).  

It serves as a platform which allows research institutions and providers of critical infrastructures to access results derived within this collaborative process.

From knowledge engineering point of view the VeSiKi project provides an ontology for IT-Security in critical infrastructures. The ontology for IT-Security in critical infrastructures integrates the following subontologies in form of terminological knowledge (TBox concepts) to build up the model:

n  The subontology Project covers a cross sectoral analysis and classification of project information and results like project institution, competence, critical infrastructure and approach.

n  The subontology IT-Security covers the IT-Security relevant aspects like, threats, controls and vulnerabilities and is linked via critical infrastructure to the CRITIS subontology and consequently to the appropriate assets of an organization.

n  The subontology Compliance covers norms and standards, regulations and applicable laws and measurements. The compliance ontology is linked to the it-security ontology to gain first indication of an appropriate threat. The results of the aforementioned various project approaches inter-relate with available measurements or extend the measurements by integrating new approaches.

n  The subontology CRITIS links the cross sectoral classification of the projects with critical infrastructures relevant aspects like Asset, Organization and Critical Infrastructure.

The project members are engaged in the development of the ontology. They contribute assertational knowledge in form of ABox Instances according to the specified TBox concepts. Thus, the subontologies together build up a common knowledge base for project teams of research institutions and providers of critical infrastructures.  We acknowledge the funding of VeSiKi by the BMBF (FKZ:16KIS0214).

ALErT: Anatolian pLateau climatE and Tectonic hazards

ALErT: Anatolian pLateau climatE and Tectonic hazards, is an EU funded initiative of 10
European academic and 5 industry partners in the fields of applied Earth sciences, natural hazard
monitoring, knowledge transfer, and risk communication. ALErT is funded within the EU Marie
Curie Actions program “Initial Training Networks (ITN)”.
Research targets on the tectonic and climatic boundary conditions in the regions along the
densely populated margins of the Central Anatolian Plateau (CAP) in Turkey and the associated
natural hazards.
From Semantic Web point of view the project is aimed to investigate possibilities of Semantic Web
in geospatial domain. In particular:
• Application of the spatial extension of Semantic Web in real-world scenario;
• Encode and share state-of-the-art research data with RDF;
• Application of entity resolution techniques;
• Implementation of spatial rule-based reasoning tool to be used as a core of a decision
support system.