Ms. Faezeh Malekzadeh | Environmental | Best Researcher Award

Ph.D. student at Warsaw University of Life Sciences, Poland

Faezeh Malekzadeh is a dedicated researcher in hydraulic engineering, hydrology, and water resources, passionate about environmental sustainability. 🌿💧 She holds a Master’s degree in Water Sciences and Engineering from the University of Tabriz, where she ranked first in her class. 🎓🏆 Her research focuses on numerical modeling and AI-based programming for water management and climate resilience. 🌊🔬 With multiple publications in high-impact journals, she has contributed significantly to flood control, sediment transport, and ecosystem sustainability. 🏞️📖 Faezeh is committed to advancing hydrodynamic simulations and sustainable water resource strategies for future generations. 🌍💙

Professional Profile 

• Scopus
• Google Scholar

Education & Experience 🎓💼

✅ Master of Science in Water Sciences & Engineering (Hydraulic Structures) – University of Tabriz (2018-2021) 🏗️📊
✅ Bachelor of Science in Water Sciences & Engineering – University of Tabriz (2014-2018) 💦📚
✅ Water Supply Engineer – Saroujbana Azerbaijan 🏗️💧
✅ Project Manager Engineer – Sana Sazeh Azerbaijan 🏢🛠️
✅ Researcher in hydraulic modeling, flood management, and environmental sustainability 🌎🌊

Professional Development 🚀📖

Faezeh Malekzadeh has actively participated in academic and professional training to enhance her expertise in hydraulic engineering and environmental sustainability. 🌍💡 She has earned certifications in ArcView GIS, MATLAB, Green Productivity, and AI-based hydrodynamic simulations to improve water management strategies. 🎯🖥️ Attending national conferences and workshops, she collaborated with experts in flood risk management, sediment transport, and climate change adaptation. ⛈️📊 Her professional engagements include contributing to advanced numerical modeling techniques and data-driven hydrological research. 🔬💦 With a deep commitment to sustainability, she continues to explore innovative solutions for global water challenges. 🌱🌏

Research Focus 🔬🌊

Faezeh Malekzadeh’s research centers on hydraulic engineering, hydrology, and water resource management. 🚰📊 She specializes in numerical modeling and AI-driven simulations to optimize water flow, flood control, and sediment transport. ⏳💡 Her studies on broad-crested weirs and hydrodynamic particle simulation contribute to developing efficient hydraulic structures. 🏗️💧 She also focuses on eco-hydrology, climate change impact on water systems, and sustainable water governance. 🌍🌱 By integrating computational fluid dynamics (CFD) and GIS-based hydrological analysis, she aims to enhance water sustainability and ecosystem protection. 🏞️🔬

Awards & Honors 🏆🎖️

🌟 Top 1% Rank in Iran’s University Entrance Exam (Konkur) – 2014 🎓📚
🌟 Ranked 64th in Iran’s Master’s Entrance Exam in Water & Hydraulic Engineering – 2018 📊💡
🌟 Ranked 1st in Master’s Program at University of Tabriz – 2021 🏅🏗️
🌟 Brilliant Talent Recognition for PhD Admission 🎖️🔬

Publication Top Notes

1. Numerical Investigation of the Effect of Geometric Parameters on Discharge Coefficients for Broad-Crested Weirs with Sloped Upstream and Downstream Faces

   • Authors: F. Malekzadeh, F. Salmasi, J. Abraham, H. Arvanaghi
   • Journal: Applied Water Science
   • Volume: 12
   • Article Number: 110
   • Year: 2022
   • Summary: This study employs numerical simulations to analyze how various geometric parameters—such as crest length, weir height, and upstream and downstream slopes—affect the discharge coefficient (Cd) of broad-crested weirs. The research utilizes ANSYS FLUENT software to perform 432 simulations, revealing that while the downstream slope has minimal impact on Cd, decreasing the upstream slope and weir height increases Cd within specific ranges.

2. Experimental Investigation for Determination of Discharge Coefficients for Inclined Slide Gates and Comparison with Data-Driven Models

   • Authors: F. Salmasi, S. Shadkani, J. Abraham, F. Malekzadeh
   • Journal: Iranian Journal of Science and Technology, Transactions of Civil Engineering
   • Volume: 46
   • Pages: 2495–2509
   • Year: 2022
   • Summary: This experimental study examines the discharge coefficient (Cd) for inclined slide gates under both free and submerged flow conditions. Tests were conducted with gate inclination angles of 0° (vertical), 15°, 30°, and 45°, along with varying gate openings. Findings indicate that increasing the inclination angle enhances Cd, thereby improving flow capacity beneath the gate. The study also evaluates data-driven models for predicting Cd, providing valuable insights for hydraulic engineering applications.

3. Study of Variations in Discharge Coefficients for Broad-Crested Weirs with Sloped Upstream and Downstream Faces Using Numerical Simulation

   • Authors: F. Malekzadeh, H. Arvanaghi
   • Journal: Amirkabir Journal of Civil Engineering
   • Volume: 54
   • Issue: 11
   • Pages: 4119–4138
   • Year: 2023
   • Summary: This research utilizes numerical simulations to investigate how variations in upstream and downstream slopes of broad-crested weirs influence the discharge coefficient (Cd). The study systematically alters geometric parameters and analyzes their effects on Cd, providing regression equations for practical estimation. Results demonstrate that while the downstream slope has a negligible effect, reducing the upstream slope and weir height leads to an increase in Cd within certain parameter ranges.

4. Development of a Novel Hybrid Hydrodynamic Particle Simulation Methodology for Estimating Discharge Coefficient of Broad-Crested Weirs

   • Authors: S. Shadkani, M.M. Sergini, F. Malekzadeh, A. Saber, N. Kabiri, A. Goodarzi, et al.
   • Journal: Flow Measurement and Instrumentation
   • Article Number: 102806
   • Year: 2024
   • Summary: This forthcoming paper introduces an innovative hybrid hydrodynamic particle simulation approach to estimate the discharge coefficient (Cd) of broad-crested weirs. By integrating computational fluid dynamics with particle-based methods, the study aims to enhance the accuracy of Cd predictions, offering a valuable tool for hydraulic structure design and analysis.

5. Characterization of Precipitation Concentration Indicators and Their Variations in a Central European Region

   • Authors: M.R. Eini, M. Darand, F. Malekzadeh, N. Kabiri, A. Panahi, M. Piniewski
   • Journal: [Journal Name Not Provided]
   • Year: 2023
   • Summary: This study examines precipitation patterns over Poland and the Vistula and Odra river basins from 1990 to 2019. Utilizing a high-resolution 2 km × 2 km gridded dataset, the researchers analyzed four precipitation concentration indicators: Concentration Index (CI), Precipitation Concentration Index (PCI), Precipitation Concentration Period (PCP), and Precipitation Concentration Degree (PCD). Findings indicate consistent precipitation distribution throughout the year, with significant events predominantly occurring between February and May.

Conclusion

Faezeh Malekzadeh’s contributions to hydraulic engineering and water sciences make her a strong candidate for a Best Researcher Award. Her innovative numerical research, technical expertise, and commitment to sustainability highlight her potential as a leading researcher in water resource engineering. If the award aims to recognize early-career researchers with impactful contributions, she is undoubtedly a deserving nominee.