Κολέγιο CITY College
Main Campus, Thessaloniki, Greece
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Prof. Petros Kefalas

Vice President Teaching & Learning, Professor

Academic Position

Professor in Artificial Intelligence

Vice President fof Learning & Teaching

Position

Vice President fof Learning & Teaching

Academic Qualifications

PhD in Computer Science, University of Essex, UK
MSc in Artificial Intelligence, University of Essex, UK
BSc in Physics, Aristotle University of Thessaloniki,Greece

PGCert in Learning & Teaching, University of Sheffield, UK 

Office Proxenou Koromila, 7th floor
Telephone 2310 224421 (ext. 107)
Email kefalas@citycollege.sheffield.eu
Skype petros.kefalas
Linkedin www.linkedin.com/in/petros-kefalas-4725261
Facebook Petros Kefalas
Personal Website http://kefalas.citycollege.sheffield.eu


Professor Petros Kefalas is the Vice President fof Learning & Teaching. He holds an MSc in Artificial Intelligence and a PhD in Computer Science, both with the University of Essex. He conducted research in Parallel Logic Programming, Artificial Intelligence, Formal Methods, Multi-Agent Systems and Learning and Tecahing in Higher Education. He has published over a 100 papers in journals and conference proceedings. He co-authored two Greek textbooks, one in Artificial Intelligence and one in Logic Programming. He is currently involved in investigating the applicability of formal methods for modelling, verifying and testing multi-agent systems, especially biological and biology inspired systems with emergent behaviour infused with emotional behaviour. He has worked as a reviewer of the Commission of the European Union on Research & Development Projects. He is a member of BCS, ACM, IEEE, ALP, Hellenic AI Society and the Greek Computer Society (EPY) in which he served as vice chairman of the local annex. As a Director of Learning & Teaching, he is responsible for the Quality Assurance and Enhancement processes of the Faculty. In 2017, he has been awarded the University of Sheffield Senate Award for Leadership in Learning & Teaching. He is a a Fellow at UK Higher Education Academy. 

Teaching

Logic Programming, Arttificial Intelligence Techniques. ELT Classroom: Principle and Practices (Learning Technologies in HE), Interdisciplinary Psychology (Artificial Emotions), Knowledge Techniologies for Innovation (Multi-agent Systems)

Research Interests

Formal methods in software engineering and Multi-Agent Systems, New Learning Technologies, e-Learning.

Publications

List of latest publications

Sakellariou I., Stamatopoulou I., and Kefalas P. Using membranes to model a multi-agent system towards underground metro station crowd behaviour simulation. In Proceedings of the Workshop on Intelligent Agents in Urban Simulations and Smart Cities, at ECAI'12, Montpellier, France, pages 5-10, 2012.
 
Stamatopoulou I., Sakellariou I., and Kefalas P. Formal agent-based modelling and simulation of crowd behaviour in emergency evacuation plans. In Proceedings of the 24th IEEE International Conference on Tools with Artificial Intelligence, November 7-9, Athens, Greece, 2012.
 
Kefalas P., Sakellariou I., Basakos D., and Stamatopoulou I. A formal approach to model emotional agents behaviour in disaster management situations. In A. Likas, K. Blekas, and D. Kalles, editors, Artificial Intelligence: Methods and Applications. 8th Hellenic Conference on AI (SETN'14), Ioannina, Greece, May 15-17, volume 8445 of Lecture Notes in Computer Science, pages 237-250. Springer, 2014.
 
Pireva, K., Kefalas, P., Dranidis, D., Hatziapostolou, T., & Cowling, A. (2014). Cloud e-learning: A new challenge for multi-agent systems. In Advances in Intelligent Systems and Computing Vol. 296 (pp. 277-287). 
 
Kefalas P., Sakellariou I., Savvidou S., Stamatopoulou I., and Ntika M. The role of mood on emotional agents’ behaviour. In N.T. Nguyen, L. Iliadis, Y. Manolopoulos, and B. Trawiski, editors, Computational Collective Intelligence (ICCCI'16), volume 9875 of Lecture Notes in Computer Science. Springer, Cham, 2016.
 
Sakellariou I., Kefalas P., Savvidou S., Stamatopoulou I., and Ntika M. The role of emotions, mood, personality and contagion in multi-agent system decision making. In L. Iliadis and I. Maglogiannis, editors, Artificial Intelligence Applications and Innovations (AIAI'16) IFIP Advances in Information and Communication Technology, volume 475 of Lecture Notes in Computer Science. Springer, Cham, 2016.
 
Stamatopoulou, I., Dimopoulos, K., & Kefalas, P. (2017). Teaching, learning and assessment of agents and robotics in a computer science curriculum. Studies in Computational Intelligence, 737, 321-332
 
Pireva, K., & Kefalas, P. (2017). A recommender system based on hierarchical clustering for cloud e-learning. Studies in Computational Intelligence, 737, 235-245
 
Kefalas, P., & Stamatopoulou, I. (2017). Using screencasts to enhance logic programming skills. In ACM International Conference Proceeding Series Vol. Part F130953.
 
K.Grevenitis, I,Sakellariou and P.Kefalas (2020). Emotional Agents make a (Bank) Run. In Proceedings of the 17th European Conference in Multi-Agent Systems, LNAI (in press)

 

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