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Dr Stella Kitromilidou




Ph.D. in Statistics (University of Cyprus, 2015)

M.Sc. in Applied Statistics (University of Cyprus, 2010)

B.Sc. in Mathematics and Statistics (University of Cyprus, 2008)

Basic Insurance Training Certificate (Insurance Institute of Cyprus, 2016)


Quantitative statistical data analysis, design of statistical surveys, statistical software coding (R, SAS, SPSS) 

Employment Track

Associate Lecturer in Statistics, UCLan Cyprus (since 2017)

Senior Advisor, Financial Risk Management, KPMG Cyprus (since 2019)

Consultant in Official Statistics, Agilis Statistics and Informatics Ltd (2016-2018)

Post-doc researcher, Department of Economics, University of Cyprus (2015-2016)

Researcher and Teaching Assistant, Department of Mathematics and Statistics, University of Cyprus (2010-2015) 

Memberships (Academic/Professional)

  • Member of the Cyprus Statistical Society

Research Interests

Time Series, Robust Statistics, Modeling Count Time Series, Official Statistics, European Surveys, Financial Risk Management, Credit Risk Modelling 

Roles and Responsibilities (including past roles and responsibilities)

Teaching and Course Leadership 

  • Computational Statistics and Data Analysis, Operational Research, Exploratory Data Analysis

Selective Publications 

  • Agilis S.A – Statistics and Informatics, Anais Santourian and Stella Kitromilidou, 2018. Quality report of the second wave of the European Health Interview Survey. Luxembourg: Publications Office of the European Union, 2018: doi:10.2785/43982 
  • Benaki Phytopathological InstituteAgilis S.A- Statistics and InformaticsKaterina KyriakopoulouIoannis KandrisIrene PachitiKonstantinos M. KasiotisAnastasia SpyropoulouAnais SantourianStella KitromilidouGerta Pappa and Maria Glossioti2017Collection and analysis of pesticide residue data for pollen and nectarEFSA supporting publication 2017:14(10): EN-1303. 96 pp. doi:10.2903/sp.efsa.2017.EN-1303
  • S. Kitromilidou and K. Fokianos, Mallows’ Quasi-Likelihood Estimation for Log-Linear Poisson Autoregressions, Statistical Inference for Stochastic Processes,19(3), 337-361, 2016
  • S. Kitromilidou and K. Fokianos, Robust Estimation Methods for a Class of Log-Linear Models Count Time Series, Journal of Statistical Computation and Simulation, 84(4), 740-755, 2016
  • R. Fried, T. Liboschick, H. Elsaied, S. Kitromilidou and K. Fokianos, On Outliers and Interventions in Count Time Series Following GLMs, Austrian Journal of Statistics, 43(3-4), 181-193, 2014

R. Fried, H. Elsaied, T. Liboschick, S. Kitromilidou and K. Fokianos, On Outliers and Interventions in Count Time Series Following GLMs, Proceedings of the 10th International Conference on Computer Data Analysis and Modeling, 50-57, 2013

Selective Conference and Seminar Presentations 

  • 1st Meeting of the Cyprus Statistical Society, 1 June 2018, Larnaca, Cyprus
  • Non-Stationarity in Statistics and Risk Management, 21-25 January 2013, Marseille, France
  • Computational Statistics (COMPSTAT), 27-31 August 2012, Limassol, Cyprus
  • Workshop on Recent Advances in Time Series Analysis (RATS), 9-12 June 2012, Protaras, Cyprus

Selective Research Funding/ Grant Capture

  • TEXNOLOGIA/THEPIS/0609(BE)/02, Cyprus Research Promotion Foundation, Regression Models for Integer Valued Time Series, Researcher, 2011-2013
  • ERC-PoC: MONITOR (640924), Forecasting and Monitoring Economic Indicators, Researcher, 2015-2016

Consultancy and CPD Training

  • Evaluation of Europeana and orientations for its future development, following adoption of Council conclusions by EYCS Council on 31/5/2016 – SMART 2016/0100, DG CNECT 2018
  • Support for methodological work, statistical analysis and dissemination activities for the European Health Interview Survey (EHIS), Eurostat 2015-2018
  • Support study for the final evaluation of ENIAC/ARTEMIS/ECSEL JU – SMART 2016/0005, DG CNECT 2016-2017
  • Support study for the Interim Evaluation of Horizon 2020, DG CNECT 2016-2017
  • Supply of a dataset on number of researchers active in the European corporate energy sector and methodology for data estimation for JRC-IET, EC/JRC/IET 2016
  • Collection and analysis of pesticide residue data for pollen and nectar – OC/EFSA/PRAS/2015/08, EFSA 2016