Professor at Shahid Bahonar University of Kerman, Iran
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🎓Education
PhD in Civil-Water Engineering (Oct 2004 – Sep 2010)
Civil Engineering Department, K.N. Toosi University of Technology (KNTU), Tehran, Iran
MSc in Civil-Water Engineering (Hydraulics Engineering) (Oct 2002 – Sep 2004)
Civil Engineering Department, K.N. Toosi University of Technology (KNTU), Tehran, Iran
BSc in Irrigation Engineering (Oct 1998 – Sep 2002)
Water Engineering Department, Shahid Bahonar University of Kerman (SBUK), Kerman, Iran
👨🏫Professional Experience
Teaching Experience: 17 years at national universities, covering over 20 subjects in undergraduate and postgraduate water sciences courses.
Thesis Supervision: Supervised more than 60 M.Sc. theses and 4 Ph.D. theses, advising over 30 M.Sc. and Ph.D. students.
Editorial & Conference Roles: Editorial Board member for the Journal of Hydraulic Structures (JHS); Chair for multiple national conferences on irrigation and evaporation reduction.
🔬Research Interests
Machine Learning & Data Mining 📊
Computational Intelligence in Water Engineering 💡
Water Resources Management 💧
Environmental Sciences 🌍
Hydroinformatics 🌐
Computational Hydraulics & CFD 🌀
🏆Awards & Accomplishments
World’s Top 2% Scientists (Stanford University Scientist Ranking) 2020-2023 🌟
Georg Forster Research Fellowship (2019-2020) 🏆
Top Researcher at SBUK University (2023) 🥇
Top Scholar in Kerman Province (2018, 2021) 📜
Publications📝
Artificial Intelligence-Based Model for Optimal Conjunctive Operation of Surface and Groundwater Resources
Authors: S. Akbarifard, M.R. Madadi, M. Zounemat-Kermani
Journal: Nature Communications
Year: 2024
Stochastic (S[ARIMA]), Shallow (NARnet, NAR-GMDH, OS-ELM), and Deep Learning (LSTM, Stacked-LSTM, CNN-GRU) Models, Application to River Flow Forecasting
Authors: M. Kheimi, M. Almadani, M. Zounemat-Kermani
Journal: Acta Geophysica
Year: 2024
Predicting Microbiologically Influenced Concrete Corrosion in Self-Cleansing Sewers Using Meta-Learning Techniques
Authors: M. Zounemat-Kermani, A. Aldallal
Journal: Corrosion
Year: 2024
Exploitation of the Ensemble-Based Machine Learning Strategies to Elevate the Precision of CORDEX Regional Simulations in Precipitation Projection
Authors: A. Ghaemi, S.A. Hashemi Monfared, A. Bahrpeyma, P. Mahmoudi, M. Zounemat-Kermani
Journal: Earth Science Informatics
Year: 2024
Hybrid and Integrative Evolutionary Machine Learning in Hydrology: A Systematic Review and Meta-analysis
Authors: A. Mahdavi-Meymand, W. Sulisz, M. Zounemat-Kermani
Journal: Archives of Computational Methods in Engineering
Year: 2024
Spatiotemporal Variation of Projected Drought Characteristics in Iran Under Climate Change Scenarios Using CMIP5-CORDEX Product
Authors: A. Ghaemi, S.A.H. Monfared, A. Bahrpeyma, P. Mahmoudi, M. Zounemat-Kermani
Journal: Journal of Water and Climate Change
Year: 2024