Mr Mehran Ghodrati, K.N. Toosi University of Technology, Iran
Mehran Ghodrati is a dedicated PhD candidate in Water Resources Management Engineering at K.N.T. University of Tech. (K.N.T.U.) in Tehran, Iran. Born on June 7, 1978, in Ahar, Iran, Mehran has over two decades of experience in teaching and industry. His research focuses on quantitative-qualitative modeling of catchments and reservoirs to enhance water quality control. With extensive expertise in GIS, hydrological, and hydraulic modeling, he has authored several influential books and papers. In his professional career, he manages significant projects related to water resource management and GIS implementation, making him a key figure in his field.
Publication Profile
Orcid
Strengths for the Award
- Extensive Academic Background: Mehran Ghodrati has a strong academic foundation in Water Resources Management Engineering, with a Ph.D. in progress, and substantial previous degrees in the field.
- Rich Teaching Experience: His teaching roles and workshops on GIS, hydrological modeling, and related subjects show a commitment to education and knowledge dissemination.
- Diverse Computer Skills: Proficiency in a wide range of relevant software and coding languages, including GIS and hydrological modeling tools, highlights his technical expertise.
- Professional Experience: A solid track record of managing significant projects related to water resources, GIS implementation, and artificial recharge demonstrates practical experience and leadership.
- Publication Record: His contributions include several books and handouts, with a range of published papers in respected journals and ongoing research work.
- Project Management: Leading projects in GIS implementation and water management showcases his capability in both research and real-world applications.
Areas for Improvement
- Publication Impact: While there are numerous publications, increasing the number of high-impact journal articles could strengthen his research profile.
- Language Proficiency: Improving English language skills may enhance his ability to engage with the international research community and publish in higher-impact journals.
- Interdisciplinary Research: Incorporating interdisciplinary approaches or collaborating with researchers in related fields could diversify his research impact.
- Grant Acquisition: Securing more research grants and funding could provide additional resources for innovative projects and enhance research output.
Education
Mehran Ghodrati is pursuing a PhD in Water Resources Management Engineering at K.N.T. University of Tech. (K.N.T.U.), Tehran, Iran, focusing on modeling catchments and reservoirs for water quality control. He earned an M.Sc. in Water Resources Management Engineering from the same institution, with a thesis on satellite images’ applications in identifying salty regions. His foundational education includes a B.Sc. in Water Engineering from K.N.T.U., where he built his expertise in water resource management and engineering.
Experience
Mehran Ghodrati’s professional journey includes a notable role at Tehran Water Regional Company, where he manages GIS projects, artificial recharge initiatives, and water transfer projects. His previous roles in consulting companies involved GIS spatial analysis, hydrological and hydraulic simulations, and groundwater modeling. His extensive experience spans over two decades, combining academic teaching and practical application in water resources management, contributing significantly to his field.
Research Focus
Mehran Ghodrati’s research focuses on advanced modeling techniques for water resources management. His work involves quantitative-qualitative modeling of catchments and reservoirs to improve water quality control methods. He integrates satellite imagery, GIS, and various hydrological and hydraulic models to address water resource challenges and enhance management practices. His research contributes to better understanding and solutions for water quality and resource management.
Publications
Ghodrati M., “Applications of ArcGIS in water engineering- Hydrology and Hydrogeology” 📚
Ghodrati M. and Soabani A., “Groundwater Mathematical Models- Applications of GMS Model” 📚
Ghodrati M., “Applied Learning of ArcGIS 10.2 with emphasis on water engineering and environmental issues” 📚
Ghodrati M., “Learning The Application of HEC-GeoHMS Model in ArcGIS 10” 📚
Ghodrati M. and Barzegari F., “Mathematical Models of Groundwater- Applied Learning of GMS 7.1” 📚
Ghodrati, Mehran & Dariane, Alireza (2024). Evaluation of input variable selection methods in artificial neural networks for estimating missing daily precipitation, Hydrological Sciences Journal 🌟
Ghodrati, Mehran & Dariane, Alireza (2024). Enhancing Hydrological Model Efficiency through Satellite Image Classification, Hydrological Sciences Journal 🌟