Dr. Mahmood Rahmani Firozjaei is a civil engineering researcher specializing in hydraulics and marine engineering, with expertise in experimental studies, hydrodynamic modeling, sediment transport, and the application of artificial intelligence in hydraulic systems. He earned his Ph.D. from the University of Tehran, focusing on seawater intake structures for desalination plants, and has produced a strong record of publications in respected international journals. His research demonstrates a balance between theoretical modeling and experimental validation, addressing practical challenges in water resource management and marine structures. In addition to his research, he has served as a peer reviewer for multiple journals, highlighting his recognition in the academic community. His teaching and laboratory roles reflect a commitment to both advancing knowledge and mentoring students. With academic honors, innovative research contributions, and a growing international presence, Dr. Firozjaei has positioned himself as a promising scholar with significant potential for continued impact in civil and environmental engineering.

Professional Profile 

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Education

Dr. Mahmood Rahmani Firozjaei holds a strong academic background in civil engineering with a focus on hydraulics and marine engineering. He began his studies with an associate and bachelor’s degree in civil engineering from Tabari University, where he excelled academically. He then pursued his master’s degree at Tarbiat Modares University, specializing in hydraulics and fluid mechanics, completing a thesis on numerical studies of lateral pipe intake under the guidance of a leading professor in the field. His academic journey culminated in a doctoral degree from the University of Tehran, where his dissertation explored the experimental and numerical investigation of seawater intake structures for desalination plants. Through this academic progression, he built a foundation combining theoretical knowledge, numerical modeling, and laboratory experimentation, which has shaped his expertise in hydraulic engineering, marine structures, and water resource systems. His education reflects both academic excellence and specialized training in advanced civil engineering disciplines.

Experience

Dr. Mahmood Rahmani Firozjaei has accumulated diverse professional and academic experience that complements his research expertise. He has worked as a civil engineer on projects involving surface water collection network design and modeling, showcasing practical application of his technical knowledge. In academia, he has served as a lecturer, teaching civil engineering courses at Maziar University, and as a teaching assistant at the University of Tehran, where he supported courses on water and wastewater systems. His laboratory assistantship at the University of Tehran involved training students in advanced hydraulic instruments such as particle image velocimetry and wave maker systems, as well as contributing to laboratory facility development. He has also served as a peer reviewer for international journals and conferences, reflecting recognition of his expertise by the scholarly community. His career blends research, teaching, and practical engineering, allowing him to contribute meaningfully to both academic and applied domains of civil engineering.

Research Focus

The research focus of Dr. Mahmood Rahmani Firozjaei lies at the intersection of hydraulics, marine engineering, and modern computational methods. His primary interests include the design and performance of seawater intake structures for desalination plants, sediment transport in hydraulic systems, and the study of marine and coastal structures. He has applied both experimental techniques, such as particle image velocimetry, and advanced numerical models to better understand hydrodynamic processes. Importantly, he incorporates machine learning and artificial intelligence tools into hydraulic studies, enhancing predictive accuracy and optimization. His publications reflect a consistent emphasis on combining physical modeling with computational approaches to address practical water resource challenges. By focusing on coastal engineering, river hydraulics, and sustainable water infrastructure, his research contributes to solving real-world issues such as efficient desalination, sediment control, and climate-related hydraulic impacts. This integrative and forward-looking research agenda underlines his contribution to advancing both theory and application in civil engineering.

Award and Honor

Dr. Mahmood Rahmani Firozjaei has received recognition for his academic and research excellence through notable awards and honors. During his undergraduate studies at Tabari University, he was ranked first among civil engineering students, underscoring his early commitment to academic achievement. Later, his master’s thesis was distinguished with the prestigious Professor Hessabi Special Prize at the Festival of Top Iranian Theses, a significant honor that highlights the originality and practical importance of his research. These achievements demonstrate not only his scholarly capabilities but also the impact and relevance of his work within the engineering community. In addition to these honors, his consistent publication record in respected journals and his active role as a peer reviewer reflect ongoing acknowledgment of his contributions by the international academic community. Such recognition positions him as a promising researcher whose dedication and innovation have been validated through both institutional and scholarly accolades.

Publication Top Notes

• Title: Numerical simulation on the performance improvement of a lateral intake using submerged vanes
  Authors: M Rahmani Firozjaei, SAA Salehi Neyshabouri, S Amini Sola, …
  Year: 2019
  Citations: 32

• Title: Numerical simulation of the lateral pipe intake: flow and sediment field
  Authors: M Rahmani Firozjaei, E Behnamtalab, SAA Salehi Neyshabouri
  Year: 2020
  Citations: 17

• Title: Investigation of the performance of the response surface method to optimize the simulations of hydraulic phenomena
  Authors: STO Naeeni, M Rahmani Firozjaei, Z Hajebi, H Akbari
  Year: 2023
  Citations: 15

• Title: Evaluation of seawater intake discharge coefficient using laboratory experiments and machine learning techniques
  Authors: MR Firozjaei, STO Naeeni, H Akbari
  Year: 2024
  Citations: 8

• Title: Discharge performance of a submerged seawater intake in unsteady flows: Combination of physical models and decision tree algorithms
  Authors: MR Firozjaei, Z Hajebi, STO Naeeni, H Akbari
  Year: 2024
  Citations: 6

• Title: Hydraulic performance of bottom intake velocity caps using PIV and OpenFOAM methods
  Authors: Z Hajebi, MR Firozjaei, STO Naeeni, H Akbari
  Year: 2024
  Citations: 5

• Title: Numerical simulation of lateral pipe intake from open channel
  Authors: MR Firozjaiy, EB Talab, S Neyshabouri
  Year: 2019
  Citations: 4

• Title: Experimental and Numerical Investigation of Bottom Intake Structure for Desalination Plants
  Authors: M Rahmani Firozjaei, Z Hajebi, STO Naeeni, H Akbari
  Year: 2024
  Citations: 3

• Title: Hydraulic Evaluation of Lateral Pipe-intake from Open Channel by Numerical Simulation
  Authors: M Rahmani Firozjaei, E Behnamtalab
  Year: 2021
  Citations: 2

Conclusion

Dr. Mahmood Rahmani Firozjaei’s publication record demonstrates a consistent and impactful contribution to the field of hydraulics and marine engineering. His research spans both experimental and numerical approaches, addressing complex issues such as seawater intake structures, sediment transport, and the integration of machine learning into hydraulic studies. The citation profile shows that his earlier works have been well-recognized by the research community, while his more recent publications indicate growing relevance and continued innovation. His ability to publish in reputable journals, collaborate with other scholars, and contribute to advancing both theoretical and applied knowledge reflects his strong potential for long-term impact. Overall, his scholarly output highlights a promising trajectory, making him a worthy candidate for recognition such as the Best Researcher Award.