Geostatistics in Environmental Mining and Sustainable Development Research Unit

H.R.F.I -'Basic Research Project ''GEONE''     Advanced geostatistical modelling for natural resources evaluation     

Contact Details                                                                                             

School of Mineral Resources Engineering                                                                        

Technical University of Crete

Assistant Professor: Emmanouil Varouchakis

EURECA-PRO Doctoral School: TUC Coordinator: "Educational Innovation", EURECA-PRO University Alliance

Γνωστικό αντικείμενο: Γεωστατιστική στην Περιβαλλοντική Μεταλλευτική-Βιώσιμη Ανάπτυξη

Geostatistics in Environmental Mining-Sustainable Development

Tel: 00302821037642

Email: evarouchakis@tuc.gr

Latest News

PhD Supervision & Examination Committe

Dr. Khawla LAMGHARI. (2026). Geology & Sustainable Mining Institute (GSMI) – UM6P - University Mohammed VI Polytechnic,  Towards Sustainable Phosphate Mining in Morocco: Quantifying, Simulating and Optimizing the Resource–Water–Energy Nexus at the Benguerir Mining Site

Machairas, E. (2025). Cost-Benefit analysis and risk assessment of mining activities in terms of circular economy and its environmental impact. https://dias.library.tuc.gr/handle/123456789/29342 (Supervisor)

Donas, A. (2025). Development of advanced simulation methodologies utilizing computational intelligence frameworks and statistical modeling approaches for applications in environmental process simulation systems http://hdl.handle.net/10442/hedi/59768

Gyparakis, S. (2025). Μοντελοποίηση της λειτουργίας μιας εγκατάστασης επεξεργασίας νερού. https://dias.library.tuc.gr/handle/123456789/32836

Gkika, A. (2024). Methodological decision support framework for enhancing the resilience of the Hellenic electricity distribution network against climate change impacts through multi-criteria analysis. http://hdl.handle.net/10442/hedi/59201

Theodoridou, P. (2024). Development of space-time geostatistical models for hydrological applications. https://dias.library.tuc.gr/handle/123456789/32634

Vilanakis, N. (2024). Αριθμητικές μέθοδοι σε σύγχρονες υπολογιστικές αρχιτεκτονικές για προβλήματα πολλαπλών χωρίων. https://dias.library.tuc.gr/handle/123456789/36634

Agou, V. (2023). Space-time analysis of meteorological parameters with geostatistical and machine learning methods. https://dias.library.tuc.gr/handle/123456789/26823

Kokolakis, K. (2023). Contributions to satellite altimetry calibration with microwave transponders and corner reflectors in the context of fiducial reference measurements. https://dias.library.tuc.gr/handle/123456789/36527

 

Selected Publications

M. D. Koltsidopoulou, A. Pavlides, D. T. Hristopulos, E. Α. Varouchakis, (2026), Enhancing Geostatistical Analysis of Natural Resources Data with Complex Spatial Formations through non-Euclidean Distances, Mathematical Geosciences, https://doi.org/10.1007/s11004-025-10269-3

A. Pavlides, M. D. Koltsidopoulou, M. Chrysanthi, E. A. Varouchakis, (2025). A Kernel-Based Nonparametric Approach for Data Gaussian Anamorphosis, Mathematical Geosciences, https://doi.org/10.1007/s11004-025-10251-z

Baeza, D, Maleki, M. & Varouchakis, E. A. (2025). Leveraging pre-existing geological model to generate multiple realizations of geological domain through machine learning algorithms. Natural Resources Research, https://doi.org/10.1007/s11053-025-10572-0

Maleki, M., Mery, N., Soltani-Mohammadi, S., Plaza-Carvajal, J., & Varouchakis, E. A. (2025). Integrating geological domains into machine learning for ore grade prediction: A case study from a porphyry copper deposit. Minerals, 15(11), 1175; https://doi.org/10.3390/min15111175

M. K. Germanou, A. Pavlides, E A. Varouchakis. (2025). “Comparison of Geostatistical and Machine Learning Methods for Spatial Analysis of Natural Resources Data,” Mathematical Geosciences, https://doi.org/10.1007/s11004-025-10239-9

E.A. Varouchakis, Konstantinos Komnitsas, Michail Galetakis. (2025). "Spatiotemporal Analysis of Vegetation Health and Moisture Dynamics in Rehabilitated Mining Quarries Using Satellite Imagery," Environmental Processes, https://doi.org/10.1007/s40710-025-00781-3

E.A. Varouchakis,, M. D. Koltsidopoulou and A. Pavlides. (2025). Designing Robust Covariance Models for Geostatistical Applications, Stochastic Environmental Research and Risk Assessment, doi.org/10.1007/s00477-025-02982-6

Conference Chair

Software

  1. GEONE H.R.F.I project software: Advanced geostatistical modelling for natural resources evaluation
  2. DSS tool for groundwater modelling using surrogate models (Advanced Users)
  3. Non linear Gaussian transformation ''download Zenodo''

 


Distictions

2% Scientists List Worldwide 2024, 2025

President of geoENVIa Association

European Geosciences Union (EGU) Hydroinformatics division Officer (2022-2024 & 2024-2026) Chair of Hydroinformatics, EGU

IAMG 2025 student award Koltsidopoulou Maria (Supervisor E A Varouchakis)

Pancretan Scholarships 2025 - Chrysanthi Maria (Supervisor E A Varouchakis)


Research Collaborations

 

 

Highlights

Geostatistics & Machine Learning: SOM classification of Groundwater wells in Southern Europe and Crete