Dr. Evdokia Tapoglou

Postdoctoral Fellow –Environmental Engineer, M.Sc., Ph.D.

(2015) Doctoral Degree, School of Environmental Engineering, Technical University of Crete, Greece. Doctoral Thesis: Thesis title: “Spatial and Temporal changes in groundwater level using ANN and geostatistical methods”

(2011) M.Sc Diploma, Department of Environmental Engineering, Technical University of Crete, Chania, Greece. Thesis title: “Use of particle swarm optimization algorithm for the training of an artificial neural network. Application in Groundwater”

(2010) Engineering Diploma, Department of Environmental Engineering, Technical University of Crete, Greece. Thesis title: “Groundwater Management with use of a 3-D model in Agia springs region in Chania”

Publications in peer reviewed journals

1. Tapoglou E., Karatzas G.P., Varouchakis E.A and Trichakis I.C.. Uncertainty estimations in different components of a hybrid-ANN fuzzy Kriging model for water table level simulation, Journal of Hydroinformatics Under review
2. Tapoglou E., Chatzakis A. and Karatzas G.P. Comparison of a black-box model to a traditional numerical model for hydraulic head prediction, Global NEST Journal, Under Review
3. Tapoglou E., Karatzas G.P., Trichakis I.C. and Varouchakis E.A. (2014), A spatio-temporal hybrid neural network – kriging model for groundwater level simulation. Journal of Hydrology, 519, Part D(0), 3193-3203
4. Tapoglou E., Trichakis I.C., Dokou Z. and Karatzas G.P. (2014), Groundwater level forecasting under climate change scenarios using an artificial neural network trained with particle swarm optimization. Hydrological Sciences Journal Vol. 59(6), 1225-1239.

Papers in Conference Proceedings

1. Tapoglou E., Dokou Z. and Karatzas G.P. (2016), Utilizing Artificial Neural Networks for the improvement of numerical model concentration predictions: the case of Cr(vi) contamination in Asopos river basin, Greece. 2nd EWaS International Conference: “Efficient & Sustainable Water Systems Management toward Worth Living Development”
2. Aydin D., Yaksi K., Copty N.K., Tapoglou E., Dokou Z., Karatzas G.P., (2015) Cosolvent Flushing for Remediation of Groundwater Contaminated with DNAPL , 7th International Conference on Porous Media & Annual Meeting, Padova, Italy
3. Tapoglou E., Karatzas G.P., Trichakis I.C., Varouchakis E.A. (2015), Uncertainty analysis of a combined Artificial Neural Network – Fuzzy logic – Kriging system for spatial and temporal simulation of Hydraulic Head. Vol. 17, EGU2015-407, EGU General Assembly 2015.
4. Pantou Th. Tapoglou E., Karatzas G.P. (2014), Hydraulic head simulation for Messara region, Crete using Artificial Neural Networks and different training algorithms. 10th International Hydrogeological Confess of Greece.
5. Chatzakis A., Tapoglou E., Karatzas G.P. (2014), Groundwater Simulation Using Artificial Neural Networks (ANNs) and Princeton Transport Code (PTC) – Performance Comparison. 12th International Conference “Protection and Restoration of the Environment–PRE12”. Full paper on Proceedings pg. 2-8
6. Tapoglou E., Karatzas G.P., Trichakis I.C., Varouchakis E.A. (2014), Temporal and Spatial prediction of groundwater levels using Artificial Neural Networks, Fuzzy logic and Kriging Interpolation. Geophysical Research Abstracts, Vol. 16, EGU2014-773, EGU General Assembly 2014.
7. Tapoglou E., Trichakis I.C., Dokou Z., Karatzas G.P. (2012), Groundwater level forecasting using an artificial neural network trained with particle swarm optimization. Geophysical Research Abstracts, Vol. 14, EGU2012-2405, EGU General Assembly 2012.

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