Dr. Reyhan Aydogan
Email: R.Aydogan (at) tudelft.nl
Office: HB 12.120
Address: Mekelweg 4
2628 CD Delft
- (2011 – present) Postdoc Researcher, Interactive Intelligence Group, Department of Intelligent Systems, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft, the Netherlands.
- (July 2013 – August 2013) Visiting Scholar, The Center for Collective Intelligence (CCI) , Massachusetts Institute of Technology (MIT), Cambridge, United States of America.
- (2007 – 2011) Teaching/Research Assistant, Department of Computer Engineering, Boğaziçi University, Istanbul, Turkey.
- (June 2010 – September 2010) Erasmus Internship (Supervisor: Prof. Dr. Catholijn M. Jonker), Delft University of Technology, Delft, the Netherlands.
- (July 2002 – August 2002) Summer Internship, Microsoft Summer School, Ankara, Turkey.
- Guest lecturer in “Distributed Artificial intelligence and Multiagent Systems” , Norwegian University of Science and Technology, February 2015.
- Co-teacher “Artificial Intelligence Techniques”, Delft University of Technology, 2014-2015.
- Guest lecturer in “Principles of Negotiation” course in Erasmus University Rotterdam, 2013-2014.
- Guest lecturer in “Learning and Reasoning” Workshop in Netherlands Research School for Information and Knowledge Systems, 2013.
- Guest lecturer in Artificial Intelligence Techniques, Delft University of Technology, 2012-2013.
- Teaching Assistant, Boğaziçi University, 2007-2011
- Research Interests
My main research focuses on the modeling, development and analysis of agent technologies that integrate different aspects of intelligence such as reasoning, decision making and learning. I am applying artificial intelligence techniques such machine learning and semantic reasoning in designing and developing agent-based decision support systems, e.g. negotiation support systems and automated negotiation tools where intelligent software negotiates on behalf of their users. I am particularly interested in supporting human decision makers in complex and dynamic environments, which also requires the design of effective human computer interaction (e.g. preference elicitation).
Keywords: Decision Support Systems, Negotiation, Multiagent Systems, Artificial Intelligence, Machine Learning, Semantic Web, Human-Computer Interaction.