Dániel Erdélyi
PhD
Research Fellow
Contacts
- erdelyi.daniel at csfk.hun-ren.hu
- room 313-315.
Place and date of birth
- Budapest, 21.10.1993.
Qualifications
- 2025 PhD: Eötvös Loránd University, Environmental Sciences PhD School, Environmental Earth Sciences PhD Program
- 2019 MSc: Eötvös Loránd University, Environmental Sciences Program, specialization in Instrumental Analysis
Employment
- 2026–present: Research Fellow, HUN-REN Research Centre for Astronomy and Earth Sciences
- 2023–2026: Junior Research Fellow, HUN-REN Research Centre for Astronomy and Earth Sciences
Language knowledge
- English B2
Main fields of research
- Environment and paleoclimate research
- Geostatistics
- Machine learning
Expert missions
- HUN-REN Data Repository Ambassador position April 2024 - November 2024, during which I deepened my knowledge of the data repository and gained practical experience in its usage, which I shared with university students.
Membership of scientific and professional organizations
- Member of the European Geosciences Union from 2024
- 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 2027 & 23nd Congress of Hungarian Geomathematicians, 2027, Budapest; Conference secretary
- 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
Teaching
- 2021–present: ELTE TTK – From Monitoring to Data Analysis for MSc and PhD students in Earth and Environmental Sciences
- 2023: ELTE TTK – Geostatistical Analysis in Environmental Science for PhD students in Earth and Environmental Sciences
Publications
Selected publications of the last 5 years
- Hatvani, I. G., Erdélyi, D., Vreča, P., Lojen, S., Žagar, K., Gačnik, J., & Kern, Z. 2026: Online screening tool for precipitation stable isotopes records: hybrid distance/density based outlier filtering approach via interactive web application. Journal of Hydrology, 135401. DOI
- Erdélyi, D. 2025: Geomathematical modelling of the spatial distribution of the stable isotopic composition of precipitation at subcontinental scale (Doctoral dissertation, Eötvös Loránd University Budapest). DOI
- Erdélyi, D., Hatvani, I. G., Derx, J., & Kern, Z. 2024: Screening a precipitation stable isotope database for inconsistencies prior to hydrological applications–examples from the Austrian Network for Isotopes in Precipitation. Austrian Journal of Earth Sciences, 117(1). DOI
- 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
Last update 25.08.2026.