Abdelrhim Eltijani, BSc (Hons), MSc, PhD
“If the nineteenth century taught us that the present explains the past, the twenty-first century is teaching us that the past may be our most reliable guide to the future.”
About
A field sedimentologist turned quantitative geoscientist, I work where sedimentology, palaeoclimate, data science and Earth-system analysis meet.
What drives it is a simple observation: decisions made within a single lifetime can shape environments for thousands of years. Sediment archives extend our view of floods, coasts and pollution far beyond the few decades of instrumental records, and sound planning needs that longer view.
Research Interests
Palaeoenvironmental sciencePalaeoclimateClimateEnvironmental changeEarth system sciencePalaeoecologyBiogeochemistryPlanetary geologyAnthropocene
Methods & tools
End-member modellingCoDASSA & waveletsChange-point detectionX-ray CTXRFXRDStable isotopesPythonRMATLABArcGISENVI
Expertise related to UN Sustainable Development Goals
How my research feeds into the goals the UN member states agreed in 2015 to protect the planet and improve lives.
Long Holocene and Pleistocene records of floods, monsoons and hydroclimate
SDG 13 · 4 publicationsGroundwater quality and aquifer characterisation in Sudan
SDG 6 · 3 publicationsFlood-hazard records that extend beyond gauge data
SDG 11 · 2 publicationsSource-to-sink pathways of plastics into the deep sea
SDG 14 · 1 publicationWhere plastic waste becomes a permanent geological layer
SDG 12 · 1 publicationHealth-risk assessment of drinking water
SDG 3 · 1 publicationFingerprint
The research topics where I am active, drawn from my publications. Ring size shows how many selected papers address each topic.
Research Outputs
Decomposing Holocene flood variability in the Pannonian Basin using singular spectrum analysis of a grain-size sedimentary proxy
Eltijani, A., Mohammed, M. A. A., Molnár, D. & Geiger, J., 2026, In: Quaternary Science Reviews.
Research output: Contribution to journal › Article › peer-review
doi:10.1016/j.quascirev.2026.110044
The PED model: a source-to-sink framework for plastic particle transport, deep-sea sequestration, and Anthropocene stratigraphy
Eltijani, A., Mohammed, M. A. A. & Geiger, J., 2026, In: Journal of Marine Systems.
Research output: Contribution to journal › Article › peer-review
doi:10.1016/j.jmarsys.2026.104228
Machine learning advances and data model coevolution in geoscience
Eltijani, A. & Mohammed, M. A. A., 2026, In: Discover Geoscience.
Research output: Contribution to journal › Article › peer-review
Open Accessdoi:10.1007/s44288-026-00524-3
Large-scale flood susceptibility mapping along major tributaries of the Nile River system in Sudan using convolutional neural network
Mohammed, M. A. A., Eltijani, A., Szabó, N. P. & Szűcs, P., 2026, In: Scientific Reports.
Research output: Contribution to journal › Article › peer-review
Open Accessdoi:10.1038/s41598-026-58194-7
Rainfall-conditioned landslide susceptibility mapping in data-scarce regions using an interpretable deep convolutional neural network: a case study of the Jebel Marra volcanic massif, Sudan
Mohammed, M. A. A., Daoud, A. M. A., Eltijani, A., Mohieldain, A. A., Szabó, N. P. & Szűcs, P., 2026, In: Scientific Reports.
Research output: Contribution to journal › Article › peer-review
Open Accessdoi:10.1038/s41598-026-52402-0
Multi-scale characterization of precipitation cyclicity across contrasting climate zones: evidence from Central Europe (Hungary) and Equatorial South America (Ecuador)
Mohammed, M. A. A., Eltijani, A. et al., 2026, In: Earth Systems and Environment.
Research output: Contribution to journal › Article › accepted for publication
SPEMM: Similarity-Aware Physical Endmember Modeling Framework for Sediment Grain-Size Distributions
Eltijani, A., 2026, In: Zenodo.
Research output: Software › Open-source code with DOI
Open Accessdoi:10.5281/zenodo.21970290
Code and data for: The Atlantic gateway modulates Arctic sea-ice sensitivity
Eltijani, A., 2026, In: Zenodo.
Research output: Software › Open-source code with DOI
Open Accessdoi:10.5281/zenodo.20973631
nordic_barents_holocene_code_v1
Eltijani, A., 2026, In: Zenodo.
Research output: Software › Open-source code with DOI
Open Accessdoi:10.5281/zenodo.21426236
An integrated workflow combining machine learning and wavelet transform for automated characterization of heterogeneous groundwater systems
Mohammed, M. A. A., Szabó, N. P., Eltijani, A. & Szűcs, P., 2025, In: Scientific Reports.
Research output: Contribution to journal › Article › peer-review
Open Accessdoi:10.1038/s41598-025-89410-5
Multi-scale characterization of the Aradeiba D-sand reservoir in the Muglad Rift Basin, Sudan: implications for reservoir heterogeneity and quality
Yousif, I., Nton, M. E., Abdullatif, O., Amidu, S. A. & Eltijani, A., 2025, In: Journal of Sedimentary Environments.
Research output: Contribution to journal › Article › peer-review
doi:10.1007/s43217-025-00232-x
Integrating CoDA and PCA for enhanced characterization of fluvial depositional processes: a case study of the Shendi Formation, Sudan
Eltijani, A., Mohammed, M. A. A., Abuobida, Y. & Yousif, I., 2024, In: Discover Geoscience 2, 10.
Research output: Contribution to journal › Article › peer-review
Open Accessdoi:10.1007/s44288-024-00011-7
Deciphering Quaternary sediment dynamics: a synthesis of X-ray CT imaging and grain size endmember modeling
Eltijani, A., Molnár, D. & Geiger, J., 2024, In: Journal of Sedimentary Environments 9(3), 615–624.
Research output: Contribution to journal › Article › peer-review
doi:10.1007/s43217-024-00184-8
The East Asian monsoon variability in the Nihewan Basin, northern China, during the Early Pleistocene: a grain size end-member modelling analysis
Moghazi, A. H., Zhao, H., Zhang, C., Omar, H., Eltijani, A. & Mischke, S., 2024, In: Quaternary Science Reviews 346, 109022.
Research output: Contribution to journal › Article › peer-review
doi:10.1016/j.quascirev.2024.109022
Sedimentary records of abandoned channel alluviation: insights from compositional data analysis, end-member modeling and wavelet transform
Eltijani, A., 2024, In: PhD thesis, University of Szeged.
Research output: Thesis › Doctoral thesis
Open Accessdoi:10.14232/phd.11966
Characterizing sedimentary processes in abandoned channel using compositional data analysis and wavelet transform
Eltijani, A., Molnár, D. & Geiger, J., 2023, In: GEM – International Journal on Geomathematics 14, 11.
Research output: Contribution to journal › Article › peer-review
doi:10.1007/s13137-023-00223-y
Paleoenvironmental multiproxy dataset of the Quaternary abandoned channel in Tövises bed, Great Hungarian Plain
Eltijani, A., Molnár, D. & Geiger, J., 2023, In: Data in Brief 49.
Research output: Contribution to journal › Data article › peer-review
Open Accessdoi:10.1016/j.dib.2023.109344
Hydro-chemometrics of the Nubian Aquifer in Sudan: an integration of groundwater quality index, multivariate statistics, and human health risk assessment
Mohammed, M. A. A., Eltijani, A., Szabó, N. P. & Szűcs, P., 2023, In: Discover Water 3, 15.
Research output: Contribution to journal › Article › peer-review
Open Accessdoi:10.1007/s43832-023-00039-9
Multi-criterion approach for assessment of hydrochemical characteristics and human health risk of groundwater in Khartoum State, Sudan
Mohammed, M. A. A., Eltijani, A., Szabó, N. P. & Szűcs, P., 2023, In: Research Square.
Research output: Preprint › not peer-reviewed
Open Accessdoi:10.21203/rs.3.rs-2481210/v1
Application of parameterized grain-size endmember modeling in the study of Quaternary oxbow lake sedimentation: a case study of Tövises bed sediments in the Eastern Great Hungarian Plain
Eltijani, A., Molnár, D., Makó, L., Geiger, J. & Sümegi, P., 2022, In: Quaternary 5(4), 44.
Research output: Contribution to journal › Article › peer-review
Open Accessdoi:10.3390/quat5040044
Applying grain-size and compositional data analysis for interpretation of the Quaternary oxbow lake sedimentation processes: Eastern Great Hungarian Plain
Eltijani, A., Molnár, D., Makó, L., Geiger, J. & Sümegi, P., 2022, In: Studia Quaternaria 39(2), 83–93.
Research output: Contribution to journal › Article › peer-review
Open Accessdoi:10.24425/sq.2022.140885
Experience
2019 – 2024Doctoral Research Associate · University of Szeged, Hungary
2018 – 2024Lecturer in Sedimentology and Stratigraphy · University of Bahri, Khartoum, Sudan
2012 – 2015Teaching Assistant · Al Neelain University, Khartoum, Sudan
Education
2024PhD in Geology · University of Szeged, Hungary · summa cum laude
2017MSc in Applied Geology · Dibrugarh University, India · First Class
2012BSc (Hons) in Petroleum Geology · Al Neelain University, Sudan
Scholarships
2019Stipendium Hungaricum Scholarship · Hungary
2017ICCR Scholarship · India
Languages
Arabic (native) · English (fluent) · German (B2, upper intermediate)
- Szeged, Hungary · 2019 – 2024
PhD and Doctoral Research Associate, University of Szeged - Khartoum and Nile basins, Sudan · 2012 – 2024
Lecturer, University of Bahri · Teaching Assistant, Al Neelain University - Dibrugarh, Assam, India · 2015 – 2017
MSc Applied Geology, Dibrugarh University - Nihewan Basin, China · Collaboration
Early Pleistocene East Asian monsoon - Ecuador · Collaboration
Precipitation cyclicity across climate zones
Software & data
Software · 2026 · v1.0.0
SPEMM
Similarity-Aware Physical Endmember Modeling framework for sediment grain-size distributions, with a graphical interface. Zenodo
Dataset · 2023
Tövises bed multiproxy dataset
Grain size, magnetic susceptibility and loss-on-ignition for a Holocene palaeochannel. Data in Brief
PhD thesis · 2024
Sedimentary records of abandoned channel alluviation
Supervised by Dr. Dávid Molnár and Dr. János Geiger. SZTE repository
News
2026
Holocene flood variability paper published in Quaternary Science Reviews.
2026
The PED model for plastic transport and Anthropocene stratigraphy out in Journal of Marine Systems.
2026
SPEMM v1.0.0 released on Zenodo.
2026
Precipitation cyclicity study accepted in Earth Systems and Environment.
2024
PhD awarded summa cum laude, University of Szeged.
Consulting and collaboration
I am open to selected consulting and collaborative projects where quantitative sediment and data analysis can help. Possible partners include environmental consultancies, engineering and energy companies, public agencies, NGOs and research groups.
Sediment and grain-size analysis
Grain-size statistics and end-member modelling with SPEMM, the open-source framework I developed, for sediment cores and outcrops.
Geoscience data analysis
Compositional data analysis, wavelet and change-point methods applied to sediment and palaeoclimate records.
Teaching and training
Short courses or guest lectures on grain-size analysis, compositional data and SPEMM, drawing on six years of university teaching.
Contact
© 2026 Abdelrhim Eltijani · Text available under CC BY 4.0 · Impressum · Datenschutz