Staff Members of the Computer Science Dept. in the 11th International Symposium on Intelligent Distributed Computing in Belgrade
Κολέγιο CITY College
Main Campus, Thessaloniki, Greece
18 October 2017

Staff Members of the Computer Science Dept. in the 11th International Symposium on Intelligent Distributed Computing in Belgrade

Staff members from the Computer Science Department of the International Faculty CITY College participated in the 11th International Symposium on Intelligent Distributed Computing (IDC) that brought together a great number of researchers. The event was hosted in Belgrade (October 11-13).

More precisely, Prof. Kefalas, Vice-principal for Teaching and Learning, was invited to Chair the Plenary Session of a conference, which constitutes a forum for the dissemination of studies in the emergent field of Intelligent Distributed Computing and an intellectual space where collaboration between researchers from Intelligent Computing and Distributing Computing communities are forged.

Staff members from the Computer Science Department of the International Faculty CITY College participated in the 11th International Symposium on Intelligent Distributed Computing (IDC)

Meanwhile, Dr Ioanna Stamatopoulou, Dr Konstantinos Dimopoulos and Prof. Kefalas made a joint contribution through their paper “Teaching, Learning and Assessment of Agents and Robotics in a Computer Science Curriculum.” This paper is a demonstration of the authors’ experience in integrating agents and robotics in their Computer Science Curriculum. The authors further presented a series of modules that progressively address these themes and other AI-related topics in their Curriculum.

Finally, Ms. Krenare Pireva, a current SEERC doctoral student supervised by Prof. Kefalas, presented the paper “A recommender system based on hierarchical clustering for Cloud e-Learning” – in co-authorship with Prof. Kefalas. Cloud e-Learning (CeL) constitutes a novel e-learning paradigm, aiming to use any learning object from the cloud and to generate a personalised learning path for individual learners. In this paper, Ms. Pireva and Prof. Kefalas presented a Recommender System for Cloud e-Leaning that uses hierarchical clustering to select the most appropriate learning resources.   

Our warmest congratulations to our colleagues on their inspiring work!

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