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Assistant Professor,
Department of Computer Science and Biomedical Informatics,
School of Sciences, University of Thessaly, Greece.
Email: stasoulis (at) uth (dot) gr




Until September 2017 I have been a Lecturer (Assistant Professor) in Mathematics at the Department of Applied Mathematics, Liverpool 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.



News and Upcoming events
    • MyTEDx talk about AI, Lamia, Greece, March 17th, 2019. https://www.youtube.com/watch?v=UgcBo-qnlg0
    • Our paper "Deep Learning and Change Detection for Fall Recognition" will be presented at the 20th International Conference on Engineering Applications of Neural Networks in Crete, Greece, May 24-26, 2019.
    • Our paper "Convolutional Neural Networks for Twitter Text Toxicity Analysis" will be presented at 2019 INNS Big Data and Deep Learning (INNSBDDL 2019) in Sestri Levante, Italy, April 16–18, 2019.

Past events and conferences:




Research


Recent developments
  • S. K. Tasoulis, A. G. Vrahatis, S. V. Georgakopoulos and V. P. Plagianakos, "Biomedical Data Ensemble Classification using Random Projections," 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, USA, 2018, pp. 166-172.
  • S. K. Tasoulis, A. G. Vrahatis, S. V. Georgakopoulos and V. P. Plagianakos, "Visualizing High-dimensional single-cell RNA-sequencing data through multiple Random Projections," 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, USA, 2018, pp. 5448-5450.
  • 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". SETN 2018 https://dl.acm.org/citation.cfm?id=3208069
  • 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.
  • L Wang, S Tasoulis, T Roos, J Kangasharju, "Kvasir: Scalable Provision of Semantically Relevant Web Content on Big Data Framework", IEEE Transactions on Big Data, 2016.
  • S. Georgakopoulos, S. Tasoulis, and V. Plagianakos, "Efficient Change Detection for High Dimensional Data Streams2015 IEEE International Conference on Big Data (Big Data), pages 2219-2222, 2015

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.