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Michael Sioutis

Title: Postdoctoral Researcher School/office: School of Science and Technology


Phone: +46 19 301325

Room: T2208

About Michael Sioutis

My name is Michael Sioutis (Μιχαήλ Σιούτης in Greek) and I am a Postdoktor at Örebro University, and in particular at the School of Science and Technology, since 1 May 2017.

On 27 February 2017 I successfully defended my Ph.D. thesis, titled Algorithmic Contributions to Qualitative Constraint-based Spatial and Temporal Reasoning, and became a Doctor of Artois University in Computer Science. During my Ph.D. studies I was advised by Professors Jean-François Condotta and Bertrand Mazure and Assistant Professor Yakoub Salhi.

I also hold a Master of Science in Advanced Information Systems from the National and Kapodistrian University of Athens since 2012.

Fields of Interest
  • Artificial Intelligence
  • Data Mining
  • Linux System Engineering
  • Logic Programming
  • Semantic Web

For more information about my studies and work experience, please see my curriculum vitae.

Ha en trevlig dag!


Articles in journals |  Conference papers | 

Articles in journals

Kong, S. , Li, S. & Sioutis, M. (2018). Exploring Directional Path-Consistency for Solving Constraint Networks. Computer journal, 61 (9), 1338-1350.
Sioutis, M. , Long, Z. & Li, S. (2018). Leveraging Variable Elimination for Efficiently Reasoning about Qualitative Constraints. International journal on artificial intelligence tools, 27 (4).

Conference papers

Alirezaie, M. , Längkvist, M. , Sioutis, M. & Loutfi, A. (2018). A Symbolic Approach for Explaining Errors in Image Classification Tasks. Paper presented at 27th International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, July 13-19, 2018.
Sioutis, M. , Paparrizou, A. & Condotta, J. (2017). A Lazy Algorithm to Efficiently Approximate Singleton Path Consistency for Qualitative Constraint Networks. In: 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI). Paper presented at IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), NOV 06-08, 2017, Boston, MA (pp. 110-117). Institute of Electrical and Electronics Engineers (IEEE).