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Dipl.-Math., M.Sc., Ph.D. 

Senior Postdoctoral Research Fellow,
Papassiopoulou 2-4, GR-35100, Lamia, Greece.
Email: stasoulis (at) uth (dot) gr





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 2) Data Mining in Big Data, Department of Computer Science and Biomedical Informatics, University of Thessaly.
recently:
  • 2017-2018 (Semester 1) Data Mining, Master of Science, Department of Computer Science and Biomedical Informatics, University of Thessaly.
  • 2016-2017 (Semester 2) Probability and Risk - Statistical Modelling, Department of Applied Mathematics, LJMU.
  • 2016-2017 (Semester 1) Multivariate Analysis and Data Mining,  Department of Applied Mathematics, LJMU.
  • 2015-2016 (Semester 2) Probability and Risk - Statistical Modelling, Department of Applied Mathematics, LJMU.
  • 2015-2016 (Semester 1) Multivariate Analysis and Data Mining,  Department of Applied Mathematics, 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

  • Chantelle L. Mason, Joseph Leedale, Sotiris Tasoulis, Ian Jarman, Daniel J. Antoine and Steven D. Webb. "Systems Toxicology Approach to Identifying Paracetamol Overdose". CPT Pharmacometrics Syst. Pharmacol. (2018) 00, 00; doi:10.1002/psp4.12298
  • Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos,  Vassilis P. Plagianakos. "Real Time Sentiment Change Detection of Twitter Data Streams". https://arxiv.org/abs/1804.00482

  • Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos. "Convolutional Neural Networks for Toxic Comment Classification". To appear in SETN 2018 https://arxiv.org/abs/1802.09957

  • 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.