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Dipl.-Math., M.Sc., Ph.D. 

Senior Postdoctoral Research Fellow,
Papassiopoulou 2-4, GR-35100, Lamia, Greece.
Email: stas789 (at) gmail (dot) com





Until September 2017 I have been a Lecturer (Assistant Professor) in Mathematics at the Department of Applied MathematicsLiverpool John Moores University, UK.

Until September 2015 I have been a Post Doctoral Researcher within the Information, Complexity and Learning research group at Department of Computer Science and Helsinki Institute for Information Technology HIIT, University of Helsinki Finland.

I obtained my PhD in 2013 from University of Thessaly, Greece, under the supervision of Prof. Vassilis Plagianakos. Before this, I studied Mathematics and got my MSc in Mathematics of Computation and Decision Making at the University of Patras, Greece.




Teaching:

currently:
  • 2017-2018 (Semester 1) Data Mining, Master of Science, Department of Computer Science and Biomedical Informatics, University of Thessaly.
recently:
  • 2016-2017 (Semester 1) Multivariate Analysis,  Department of Applied Mathematics, LJMU.
  • 2015-2016 (Semester 2) Probability and Risk - Statistical Modelling, LJMU.
  • 2015-2016 (Semester 1) Multivariate Analysis,  LJMU.
  • 2014-2015 (Semester 1) Probabilistic Models course, Algorithms and machine learning subprogram, Master of Science, Department of Computer Science, University of Helsinki, Finland.


News and Upcoming events

Past events and conferences:

  • IEEE International Conference on Big Data ( IEEE Big Data 2016), 5-8 Dec. 2016, Washington D.C., USA.
  • IMA Conference on the Mathematical Challenges of Big Data, 1-2 December 2016, Mary Ward House, London, UK.
  • EuroVis 2016, hosted by the University of Groningen in the Netherlands (6-10 June 2016)
  • Organizing and co-chairing EPSRC funded Workshop on “High ­Dimensional Big Data Engineering” on Friday 22 January 2016, Computer Laboratory, University of Cambridge in collaboration with Dr. Liang Wang and Prof. Jon Crowcroft from University of Cambridge.
  • Talk in Statistics Day, full-day seminar, 6 March 2015 , University of Helsinki. 
  • 14th EANN Conference Engineering Applications of Neural Networks 13-16 September, 2013, Halkidiki, Greece.



Research


Recent developments

  • V. Hyvnen, T. Pitknen, S. Tasoulis, E. Jsaari, R. Tuomainen, L. Wang, J. Corander, and T. Roos. “Fast nearest neighbor search through sparse random projections and voting,” in 2016 IEEE International Conference on Big Data (IEEE Big Data 2016), Dec 5-8, Washington DC, USA, pages 881–888.

  • Nicos G. Pavlidis, David P. Hofmeyr, Sotiris K. Tasoulis, "Minimum Density Hyperplanes", Journal of Machine Learning Research 17(156):1−33, 2016.

  • Y Zhao, S Tasoulis, T Roos, "Manifold Visualization via Short Walks", EuroVis 2016, The Eurographics Association 2016.

Scientific Interests

-Machine Learning
-Large scale Data Mining
-Big Data applications


Selected publications

  • Nicos G. Pavlidis, David P. Hofmeyr, Sotiris K. Tasoulis, "Minimum Density Hyperplanes", Journal of Machine Learning Research 17(156):1−33, 2016.
  • S. Tasoulis and D. Tasoulis. "Improving principal direction divisive clustering". 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008), Workshop on Data Mining using Matrices and Tensors, Las Vegas, USA, 2008.