Konstantinos Sechidis
AstraZeneca Data Science Fellow
University of Manchester




Research Experience
2017-now AstraZeneca Data Science Fellow in the University of Manchester
2016 Research Associate in the EPSRC project AnyScale Apps
2015 Research Assistant in the EU project Advanced analytics for eXtremely Large European databases (AXLE)
2011-2015 PhD in Machine Learning (Hypothesis Testing and Feature Selection in Semi-supervised Data)

Education
2015 PhD in Computer Science, University of Manchester, UK
2011 MSc (first in the course) in Information Systems, Aristotle University of Thessaloniki, Greece
2009 MSc (distinction) in Communications and Signal Processing, Imperial College London, UK
2006 5-year Diploma (MEng) in Electrical and Computer Engineering, Aristotle University of Thessaloniki, Greece

Fellowships, Scholarships and Awards
2017 Inaugural AstraZeneca/University of Manchester Data Science Fellow
2015 Best PhD Thesis Award, School of Computer Science, University of Manchester (sponsored by IBM)
2014 Best Student Paper Award, ECML/PKDD (sponsored by Springer)
2014 Runner-up best Paper Award, School of Computer Science, University of Manchester (sponsored by IBM)
2011-2013 Exceptional academic Fellowship from Propondis Foundation
2011-2015 EPSRC 4-year PhD Scholarship, University of Manchester,
2010-2011 Tuition MSc fee Scholarship, Aristotle University of Thessaloniki

Teaching Experience
2015-now I am co-supervising MSc and PhD students
2012-2015 Teaching assistant in the following courses
  •    • Master course: Foundations of Machine Learning
  •    • Master course: Modelling and Visualization of High Dimensional Data
  •    • 2nd-year undergraduate course: Machine Learning and Optimisation

  • Other Academic Activities/Services
    Journal Reviewer
  •   •  International Journal of Approximate Reasoning, Elsevier
  •   •  Transaction on Neural Networks and Learning Systems, IEEE
  •   •  Entropy, MDPI

  • Conference Committees
      • Association for the Advancement of Artificial Intelligence (AAAI)
  •     2018 Program Committee Member
  •   • European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD)
  •     2017 Program Committee Member
  •   • International Joint Conference on Artificial Intelligence (IJCAI)
  •     2017 Program Committee Member
  •   • International Conference on Probabilistic Graphical Models (PGM)
  •     2016 Program Committee Member
  •   • European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)
  •     2017 Special session organiser
  •     2015-now Reviewer
  •   • International Workshops on Structural and Syntactic Pattern Recognition (SSPR)
  •     2014 Reviewer