fbpx Δρ. Ιωάννα Σταματοπούλου | ATH/TECH

Δρ. Ιωάννα Σταματοπούλου

Associate Professor + Academic Director of Undergraduate Studies
CITY College, University of York Europe Campus

Δρ. Ιωάννα Σταματοπούλου


Dr Stamatopoulou is an Associate Professor and the Academic Director of Undergraduate Studies at the Computer Science Department of the University of York Europe Campus. She holds a Master’s degree in Artificial Intelligence from the University of Edinburgh and a PhD in Computer Science from the University of Sheffield (under the South-East European Research Centre Doctoral scheme).

Dr Stamatopoulou is a Fellow of the Higher Education Academy, and a member of the British Computer Society,  the Hellenic Artificial Intelligence Society, and the Intelligence, Modelling & Computation (IMC) Research Group of the department. Her research interests include Learning and Teaching in Higher Education but mainly lie in the area of formal modelling of multi-agent systems, investigating ways of using formal methods and paradigms for the purpose of modelling the behaviour of individual agents that constitute multi-agent systems of a dynamic structure, such as biologically-inspired systems composed of reactive agents. She is currently furthering this research to include emotional agents, with particular emphasis on emotional contagion.

Δρ. Ιωάννα Σταματοπούλου

Postgraduate Certificate in Learning and Teaching
University of Sheffield, 2018
PhD in Computer Science
University of Sheffield, 2008
MSc in Artificial Intelligence
University of Edinburgh, 2003
BSc (Hons) in Computer Science
University of Sheffield, 2002

Δρ. Ιωάννα Σταματοπούλου

Research Interests
  • Formal Modelling
  • Multi-Agent Systems
  • Formal Methods in Software Engineering
  • Biology-inspired Computing
  • AI in Education
Latest Publications

Full list of publications

Stamatopoulou I., Dimopoulos K., and Kefalas P. Teaching, learning and assessment of agents and robotics in a computer science curriculum. In Ivanović M., Bădică C., Dix J., Jovanović Z., Malgeri M., Savić M., editors, Intelligent Distributed Computing XI (IDC’17), volume 737 of Studies in Computational Intelligence, pages 321–332. Springer, Cham, 2018. doi:10.1007/978-3-319-66379-1_28.

Stamatopoulou I., Sotiriadou A., and Kefalas P. Developing a graduate employability profile: How do we ensure we deliver what we promise? In Proceedings of the International Conference on Education and New Developments (END’17), 24-26 June 2017, Lisbon, Portugal, 2017.

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.

Ntika M., Kefalas P., and Stamatopoulou I. Formal modelling and simulation of a multi-agent nano-robotic drug delivery system. Scalable Computing: Practice and Experience, 15(3):217–230, 2014.

P. Kefalas, I. Stamatopoulou, I. Sakellariou, and G. Eleftherakis. Transforming Communicating X-machines into P Systems. Natural Computing, 8(4):817-832, December 2009.

I. Stamatopoulou, I. Sakellariou, P. Kefalas, and G. Eleftherakis. OPERAS for social insects: Formal modelling and prototype simulation. In M. Gheorghe and F. Ipate, editors, Special Issue of Romanian Journal of Information Science and Technology (ROMJIST) on Natural Computing: from biology to computer science and back to applications, volume 11, pages 267-280. 2008.

I. Stamatopoulou, P. Kefalas, and M. Gheorghe. Modelling the dynamic structure of biological state-based systems. BioSystems, 87(2-3):142-149, February 2007.

P. Kefalas, I. Stamatopoulou, and M. Gheorghe. A formal modelling framework for developing multi-agent systems with dynamic structure and behaviour. In M. Pechoucek, P. Petta, and L. Z. Varga, editors, Multi-Agent Systems and Applications IV: Proceedings of the 4th International Central and Eastern European Conference on Multi-Agent Systems (CEEMAS’05), volume 3690 of Lecture Notes in Artificial Intelligence, pages 122-131. Springer, 2005.