Contacts

Place and date of birth

Budapest, 21.10.1993.

Qualifications

2019-Present | Eötvös University, Budapest, Hungary, Environmental Science PhD
2017-2019 | Eötvös University, Budapest, Hungary, Environmental scientist (M.Sc.)

Employment

2023-present: HUN-REN Research Centre for Astronomy and Earth Sciences, Junior Research Fellow at the Paleoclimate 2ka Research Group

Language knowledge

Main fields of research

Spatial modelling of precipitation stable isotopes using Geostatistical and Machine Learning methods.

Research projects

Outstanding results

Study trips

Membership of scientific and professional organizations

Member of the WATSON Action (WATer isotopeS in the critical zONe) WG3 from 2023
Member of the Geomathematical Subcommittee in the Hungarian Academy of Sciences from 2023
Direction member of the Geomathematical and Informatics Section in the Hungarian Geological Society from 2021

Conference organization

GeoMATES 2022 & 22nd Congress of Hungarian Geomathematicians, 2022, Pécs; member of the organizing committee
WebGeoMATES, Congress for Young Scientists, international conference, organizer (2021, online Zoom)

Research grants, scholarships

2020-2021: New National Excellence Programme; Research title: Comparison of the effectiveness of conventional and machine-learning methods for geostatistical modelling of precipitation stable isotope compositions

Awards

2021. XXIV. Spring Wind Conference: First Place
2019. XXXIV. Conference of the National Scientific Student Council (OTDK): First Place
2018. XVI. National Higher Education Student Conference for Environmental Science (OFKD): Second Place
2018. XLIX. Meeting of Young Geoscientists (ISZA): Second Place

Prizes won at scientific competitions

Teaching

2023 ELTE TTK - Geostatistical analysis in environmental science for Ph.D. Earth- and environmental science students
2021-2022 ELTE TTK - From monitoring to data analysis for M.Sc. Environmental sciences students

International connections

Publications

Selected publications of the last 5 years

Erdélyi, D., Kern, Z., Nyitrai, T., Hatvani, I. G. 2023: Predicting the spatial distribution of stable isotopes in precipitation using a machine learning approach: a comparative assessment of random forest variants. GEM - International Journal on Geomathematics 14, 14. DOI
Erdélyi, D., Hatvani, I. G., Hyeongseon, J., Jones, M., Tyler, J., Kern, Z. 2023: Predicting spatial distribution of stable isotopes in precipitation by classical geostatistical- and machine learning methods. Journal of Hydrology, Volume 617, Part C, 129129. DOI
Hatvani, I. G., Szatmári, G., Kern, Z., Erdélyi, D., Vreča, P., Kanduč, T., Czuppon, Gy., Lojen, S., Kohán, B. 2021: Geostatistical evaluation of the design of the precipitation stable isotope monitoring network for Slovenia and Hungary. Environment International, 146, 106263. DOI
Kern, Z., Hatvani, IG., Czuppon, Gy., Fórizs, I., Erdélyi, D., Kanduč, T., Palcsu, L., Vreča, P. 2020: Isotopic ‘altitude’ effect and ‘continental’ effect in modern precipitation across the Adriatic-Pannonian region WATER 12:6, Paper: 1797, 13 p. DOI
Hatvani, IG., Erdélyi, D., Vreča, P., Kern, Z. 2020: Analysis of the Spatial Distribution of Stable Oxygen and Hydrogen Isotopes in Precipitation Across the Iberian Peninsula. WATER 12 : 2, Paper: 481, 17 p. DOI