Mohammad Reza Eini

About Me

I am Dr. Mohammad Reza Eini, an Environmental Engineer and Water Resources Specialist driven by the goal of ensuring global water security under changing climatic conditions. My academic pathway—from earning a Bachelor’s in Water Engineering at the University of Tabriz to a Master’s in Water Resources Engineering at the University of Tehran and culminating in a PhD (with distinction) at Warsaw University of Life Sciences (SGGW)—has provided me with a multidisciplinary foundation in hydrology, climate science, and modeling.

During my PhD, I focused on enhancing the accuracy of both process-based and data-driven models for drought prediction, leading to practical strategies for mitigating the impacts of climate change on freshwater availability. In the course of this work, I employed cutting-edge techniques—ranging from remote sensing and big-data analytics to machine learning (Artificial Neural Networks, Support Vector Machines)—to yield robust, actionable insights for water resource managers and policymakers.

My professional engagements include international fellowships with top-tier research institutes in Italy, Germany, and Poland, where I forged collaborations that deepened my understanding of global hydro-climatic challenges. These cross-cultural research experiences have equipped me with the agility to tackle diverse environmental problems and have reinforced my commitment to translating scientific findings into real-world solutions.

With numerous peer-reviewed publications in high-impact journals, my work has not only contributed to academic discourse but has also guided stakeholder-oriented water management strategies—ensuring that sustainability and community well-being remain at the forefront. I am passionate about bridging science and society, leveraging interdisciplinary knowledge to design resilient, adaptive, and inclusive water governance systems.

Research Interests

1. Advanced Hydrological Modeling

• Process-Based Approaches: Improving watershed-scale simulations using tools like SWAT and SWAT-MODFLOW, with particular emphasis on karstic and peatland hydrology.
• Machine Learning & Data-Driven Models: Applying Artificial Neural Networks (ANN) and Support Vector Machines (SVM) to enhance the predictive skill of drought and flood modeling, while integrating satellite-based datasets for real-time monitoring.

2. Climate Change Impacts & Adaptation

• Investigating extreme weather events (floods, droughts, heatwaves) and their influence on water availability and crop productivity.
• Developing forward-looking scenarios to guide policymakers and local communities in implementing adaptive management and risk reduction measures.

3. Water Resource Management & Sustainability

• Integrated Water Accounting: Employing basin-scale assessments to optimize water allocation and develop robust policy frameworks.
• Socio-Economic Dimensions: Exploring how water scarcity and climate variability shape rural livelihoods, ecosystem services, and food security— and proposing evidence-based solutions.

4. Remote Sensing & Big Data Analytics

• Utilizing satellite precipitation, soil moisture, and evapotranspiration products to refine water balance estimates and quantify carbon fluxes in sensitive ecosystems.
• Harnessing geospatial technologies for real-time environmental monitoring, vertical peatland displacement analysis, and hydrological risk assessment.

5. Translational Science & Policy Engagement

• Collaborating with international research networks and local stakeholders to co-design science-based tools for climate adaptation.
• Championing interdisciplinary approaches that fuse engineering, ecology, and social science to create holistic solutions in water governance.

My overarching mission is to advance knowledge and foster innovation in hydrological and climate science to preserve vital water resources for future generations. By integrating state-of-the-art modeling, remote sensing, and community-focused strategies, I strive to promote resilient, equitable, and sustainable water management practices worldwide.

Education

• PhD with distinction in Environmental Engineering, Mining, and Energy

  Warsaw University of Life Sciences – SGGW (Oct. 2020 - Sep. 2024)

  Thesis: Enhancing the accuracy of process-based and data-driven models for predicting drought

• M.Sc. in Water Resources Engineering

  University of Tehran- College of Aburaihan (Oct. 2015 - Sep. 2017)

  Thesis: Development of comprehensive karstic watershed model to estimate and precise the components of the water balance

• B.Sc. in Water Engineering

  University of Tabriz- Department of Water Engineering (Oct. 2011 - Jun. 2015)

Fellowships

• Research Institute for Geo-Hydrological Protection, National Research Council of Italy – IRPI-CNR Perugia, Italy (Spring and Summer 2022)
• Potsdam Institute for Climate Impact Research – PIK, Potsdam, Germany (Spring and Summer 2023)
• Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany (Fall 2023)

Publications

1. Kalaki, M.F., Delavar, M., Farokhnia, A., Morid, S., Kuchak, V.S., Hajihosseini, H., Shahbazi, A., Nourmohammadi, F., Motamedi, A., Eini M. R. (2025). An ensemble multi-model approach for long-term river flow forecasting in managed basins of the Middle East: Insights from the Karkheh River Basin. Journal of Hydrology, 132846
2. Tomczyk A. M., Piniewski M., Eini M. R.. (2025). Past and future changes in maximum air temperature and cold days in winter in Poland. Acta Geophysica, s11600-025-01538-0.
3. Ghezelayagh P., Eini M. R., Grygoruk M. (2025). Assessing carbon accumulation through peat vertical displacement: The influence of climate and land use across diverse peatland characteristics. Science of The Total Environment, 958, 178132.
4. Khaledi-Alamdari, M., Fakheri-Fard, A., Majnooni-Heris, A., Eini M. R. (2024). Analyzing the impact of climatic conditions on rainfed wheat yield in northwest Iran: a parametric and nonparametric approach. Journal of Water and Climate Change, jwc2024519.
5. Ghezelayagh P., Oleszczuk R., Stachowicz M., Eini M. R., Kamocki A., Banaszuk P., Grygoruk M. (2024). Developing a remote-sensing-based indicator for peat soil vertical displacement. A case study in the Biebrza Valley, Poland. Ecological Indicators, 166:112305.
6. Delavar M., Raeisi L., Eini M. R., Morid S., Mohammadi H., & Abbasi H. (2024). Assessing the Effectiveness of Water-Saving Plans at the Farm and Basin Level Using Agrohydrological Modeling and Water-Accounting Approaches. Journal of Irrigation and Drainage Engineering, 150(4), 04024009.
7. Eini M. R., Rahmati Ziveh A., Salmani H., Mujahid S., Ghezelayagh P., & Piniewski M. (2023). Detecting drought events over a region in Central Europe using a regional and two satellite-based precipitation datasets. Agricultural and Forest Meteorology, 342, 109733.
8. Eini M. R., Najminejad F., & Piniewski M. (2023). Direct and indirect simulating and projecting hydrological drought using a supervised machine learning method. Science of The Total Environment, 165523.
9. Szyga-Pluta K., Tomczyk A. M., Piniewski M., & Eini M. R. (2023). Past and future changes in the start, end, and duration of the growing season in Poland. Acta Geophysica, 1-15.
10. Eini M. R., Massari C., & Piniewski M. (2023). Satellite-based soil moisture could enhance the reliability of agro-hydrological modeling in large transboundary river basins. Science of The Total Environment, 162396.
11. Salmani H., Javadi S., Eini M. R., & Golmohammadi G. (2023). Compilation simulation of surface water & groundwater resources using the SWAT-MODFLOW model for karstic basin. Hydrogeology Journal.
12. Eini M. R., Motehayeri S. M. S., Rahmati A., & Piniewski M. (2023). Evaluation of the accuracy of satellite-based rainfed wheat yield dataset over an area with complex geography. Journal of Arid Environments, 212, 104963.
13. Eini M. R., Salmani H., and Piniewski M. (2023). Comparison of process-based and statistical approaches for simulation and projections of rainfed crop yields. Agricultural Water Management, 277, 108107.
14. Piniewski M., Eini M. R., Chattopadhyay S., Okruszko T., and Kundzewicz Z.W. (2022). Is there a coherence in observed and projected changes in riverine low flow indices across Central Europe?. Earth-Science Reviews, 104187.
15. Eini M. R., Rahmati A., Salmani H., Brocca L., and Piniewski M. (2022). Detecting characteristics of extreme precipitation events using regional and satellite-based precipitation gridded datasets over a region in Central Europe. Science of The Total Environment, 158497.
16. Delavar M., Eini M. R., Kuchak V. S., Zaghiyan M. R., Shahbazi A., Nourmohammadi F., and Motamedi A. (2022). Model-based water accounting for integrated assessment of water resources systems at the basin scale. Science of the Total Environment, 830, 154810.
17. Eini M. R., Rahmati A., and Piniewski M. (2022). Hydrological application and accuracy evaluation of PERSIANN satellite-based precipitation estimates over a humid continental climate catchment. Journal of Hydrology: Regional Studies, 41, 101109.
18. Tomczyk A. M., Piniewski M., Eini M. R., and Bednorz E. (2022). Projections of changes in maximum air temperature and hot days in Poland. International Journal of Climatology, 42(10), 5242–5254.
19. Eini M. R., Olyaei M.A., Kamyab T., Teymoori J., Brocca L., and Piniewski M. (2021). Evaluating three non-gauge-corrected satellite precipitation estimates by a regional gauge interpolated dataset over Iran. Journal of Hydrology: Regional Studies, 38, 100942.
20. Eini M. R., Javadi S., Hashemy Shahdany M., and Kisi O. (2020). Comprehensive assessment and scenario simulation for future of the hydrological processes in Dez river basin, Iran. Water Supply.
21. Eini M. R., Javadi S., Delavar M., Gassman P.W., and Jarihani B. (2020). Development of alternative SWAT-based models for simulating water budget components and streamflow for a karstic-influenced watershed. Catena, 195, 104801.
22. Eini M. R., S. Javadi M., Delavar J. A. F., Monteiro, and M. Darand (2019). High accuracy of precipitation reanalyses resulted in good river discharge simulations in a semi-arid basin. Ecological Engineering, 131, 107-119.
23. Eini M. R. (2019). Discussion of “Intra- and interannual streamflow variations of Wardha watershed under changing climate” (2018) by Naga Sowjanya, P Venkata Reddy K., & Shashi M. ISH Journal of Hydraulic Engineering, DOI: 10.1080/09715010.2018.1473057.
24. Eini M. R., S. Javadi M., Delavar (2018). Evaluating the performance of CRU and NCEP CFSR global reanalysis climate datasets in hydrological simulation by SWAT model, Case Study: Maharlu basin. WATER RESOURCES RESEARCH, 14(1), 32-44. (In Persian).
25. Eini M. R., S. Javadi M., Delavar, and M. Darand (2018). Assessment of Asfezari national database precipitation data in runoff evaluating and monitoring regional drought. Iranian Journal of EcoHydrology, (5)1, 95-110. (In Persian).
26. Eini M. R., S. Javadi M., Delavar (2019). Development of Comprehensive Karstic Watershed Model in Order to Estimate and Precise the Components of the Water Balance. IRAN-WATER RESOURCES RESEARCH, 14(5), 133-145. (In Persian).
27. Eini M. R., S. Javadi M., Delavar, and M. Darand (2019). Recognition of accuracy of PERSIANN-CDR precipitation satellite database in simulation of runoff in SWAT model on Maharlu Basin. Journal of Physical Geography Research Quarterly. (In Persian).

Top Co-Authors

• Dr. Mikolaj Piniewski, Warsaw University of Life Sciences
• Dr. Majid Delavar, Tarbiat Modares University
• Dr. Saman Javadi, University of Tehran
• Dr. Luca Brocca, National Research Council of Italy
• Dr. Mohammad Darand, University of Kurdistan
• Akbar Rahmati, Czech University of Life Sciences Prague
• Haniyeh Salmani, Universidad de Salamanca

Current Projects

• NORDBALT-ECOSAFE: Nitrogen and phosphorus load reduction approach within safe ecological boundaries for the Nordic-Baltic region - European Union's Horizon Europe link
• Integrated water management in Lithuania (LIFE22-IPE-LT-LIFE SIP Vanduo) - European Climate, Infrastructure and Environment Executive Agency link
• Adaptive Water Accounting for Sustainable Management of Central European Transboundary River Basins (AWA)
• Dry Nexus: Pioneering Hybrid Modeling with AI, Process-based Models, and Satellites (DryAPS)

Previous Projects

• Integrated modeling of hydrological and agricultural aspects of droughts in Odra river basin under a changing climate (2020-2024)

Teaching Experience

• Warsaw University of Life Sciences (2020-present): Climate Change and Water Resources (Master and Bachelor in Civil and Environmental Engineering)
• Ale-Taha University, Tehran, Iran (2017-2020): Advanced Engineering Hydrology, Mathematical Models in Hydrology, Groundwater Hydrology, Applied Hydrology (Master of Civil Engineering Water Resources)

Technical Skills