Water engineering at University of Zabol, Iran
Dr. Jamshid Piri is an expert in water resource management and environmental hydrology. He is currently an instructor at Zabol University, where he teaches and conducts research on water engineering, hydrological forecasting, and the application of advanced computational methods like artificial neural networks (ANN) in environmental management. Dr. Piriβs work addresses crucial challenges in water sustainability and management, particularly in arid regions. His commitment to developing innovative solutions for predicting and managing water systems has earned him recognition in national conferences and academia. With over two decades of experience in the field, Dr. Piri has demonstrated a deep passion for teaching, research, and public service, contributing to critical projects in Iran’s water sector.
Professional Profile
Education ππ
Dr. Piri completed his Ph.D. in Water Resource Management (2018-2021) at Sistan and Baluchestan University, specializing in innovative modeling and simulation techniques to solve water-related challenges. His M.Sc. in Water Engineering (2005-2007) from Shiraz University focused on hydrological modeling, where his thesis involved simulating evaporation from Zabolβs Chah-Nemehs using artificial neural networks. He holds a B.Sc. in Water Engineering from Sistan and Balochestan University (1998-2002), where he gained foundational knowledge in hydrology, hydraulic systems, and environmental water resources. His extensive education has enabled him to tackle complex issues in water management, preparing him for his roles in academia and applied research.
Professional experienceπ«πΌ
Dr. Piri has over two decades of professional experience in the water sector. He began his career at the Ministry of Power, working on water and soil management projects from 2002 to 2004. He then joined the Ministry of Agriculture, where he led key initiatives related to water and soil exports from 2007 to 2013. Since 2013, Dr. Piri has served as an instructor at Zabol University, where he teaches undergraduate and postgraduate courses such as Fluid Mechanics, Hydrology, and Water Quality. His research integrates advanced techniques like artificial neural networks and fuzzy logic to address water resource challenges. His diverse roles across government and academic institutions underscore his commitment to improving water management in Iran and beyond.
ResearchΒ interestππ¬
Dr. Piriβs research focuses on the innovative modeling and forecasting of hydrological variables, including precipitation, evaporation, and groundwater levels. He is particularly interested in developing computational tools like artificial neural networks (ANN) and fuzzy logic to improve predictions related to water resource management in arid regions. His expertise in hydroinformatics has led to groundbreaking work in suspended sediment modeling, trend analysis of hydrological data, and environmental management. By combining advanced algorithms with real-world water issues, Dr. Piri aims to improve the sustainability of water systems. His research is critical for addressing the challenges of water scarcity and environmental degradation in regions such as Zabol, making his contributions both timely and impactful.
Award and Honorπ
ποΈ
Dr. Piri has received multiple accolades for his contributions to water resource management and hydrological research. He has been recognized at various national conferences for his innovative work in groundwater modeling and hydrological forecasting. His research using artificial neural networks and genetic algorithms for soil temperature simulation has been particularly well-received in Iran’s academic community. His teaching excellence has also earned him recognition at Zabol University, where he is valued for his ability to integrate complex computational methods into practical water management solutions. Dr. Piri’s continued dedication to both academic research and practical water resource solutions makes him a highly respected figure in the Iranian hydrological research landscape.
Conclusion
Dr. Jamshid Piri is a well-qualified candidate for the Best Researcher Award, with a solid educational background, strong research in hydroinformatics, and active involvement in both teaching and national conferences. His work on hydrological modeling and water resource management is critical in regions facing environmental challenges. To further strengthen his profile, Dr. Piri should aim to publish in more high-impact international journals and engage in interdisciplinary, global research collaborations. Overall, his commitment to innovative solutions in water management makes him a deserving candidate for recognition.
Publications top notesπ
- Evaporation estimation using artificial neural networks and adaptive neuro-fuzzy inference system techniques
π A Moghaddamnia, MG Gousheh, J Piri, S Amin, D Han
π
2009
π Citations: 395
π Advances in Water Resources 32 (1), 88-97
- Application of ANN and ANFIS models for reconstructing missing flow data
π MT Dastorani, A Moghadamnia, J Piri, M Rico-Ramirez
π
2010
π Citations: 196
π Environmental Monitoring and Assessment 166, 421-434
- Comparison of LLR, MLP, Elman, NNARX and ANFIS Modelsβwith a case study in solar radiation estimation
π A Moghaddamnia, R Remesan, MH Kashani, M Mohammadi, D Han, J Piri
π
2009
π Citations: 173
π Journal of Atmospheric and Solar-Terrestrial Physics 71 (8-9), 975-982
- Daily pan evaporation modeling in a hot and dry climate
π J Piri, S Amin, A Moghaddamnia, A Keshavarz, D Han, R Remesan
π
2009
π Citations: 144
π Journal of Hydrologic Engineering 14 (8), 803-811
- Prediction of the solar radiation on the earth using support vector regression technique
π J Piri, S Shamshirband, D PetkoviΔ, CW Tong, MH ur Rehman
π
2015
π Citations: 93
π Infrared Physics & Technology 68, 179-185
- Modeling solar radiation reached to the Earth using ANFIS, NN-ARX, and empirical models
π J Piri, O Kisi
π
2015
π Citations: 92
π Journal of Atmospheric and Solar-Terrestrial Physics 123, 39-47
- Daily suspended sediment concentration simulation using hydrological data of Pranhita River Basin, India
π A Malik, A Kumar, J Piri
π
2017
π Citations: 75
π Computers and Electronics in Agriculture 138, 20-28
- A nonlinear mathematical modeling of daily pan evaporation based on conjugate gradient method
π B Keshtegar, J Piri, O Kisi
π
2016
π Citations: 71
π Computers and Electronics in Agriculture 127, 120-130
- Estimation of reference evapotranspiration using neural networks and cuckoo search algorithm
π S Shamshirband, M Amirmojahedi, M GociΔ, S Akib, D PetkoviΔ, J Piri, …
π
2016
π Citations: 58
π Journal of Irrigation and Drainage Engineering 142 (2), 04015044
- Comparison of SVM, ANFIS and GEP in modeling monthly potential evapotranspiration in an arid region
π O Mohammadrezapour, J Piri, O Kisi
π
2019
π Citations: 54
π Water Supply 19 (2), 392-403
- Dust storm prediction using ANNs technique (A case study: Zabol City)
π MR Jamalizadeh, A Moghaddamnia, J Piri
π
2008
π Citations: 47
π Proceedings of World Academy of Science: Engineering and Technology 45
- Spatial monitoring and zoning water quality of Sistan River in the wet and dry years using GIS and geostatistics
π A Mir, J Piri, O Kisi
π
2017
π Citations: 44
π Computers and Electronics in Agriculture 135, 38-50
- Assessment of artificial intelligenceβbased models and metaheuristic algorithms in modeling evaporation
π M Zounemat-Kermani, O Kisi, J Piri, A Mahdavi-Meymand
π
2019
π Citations: 42
π Journal of Hydrologic Engineering 24 (10), 04019033
- Evaporation estimation using support vector machines technique
π A Moghaddamnia, M Ghafari, J Piri, D Han
π
2009
π Citations: 37
π International Journal of Engineering and Applied Sciences 5 (7), 415-423
