Dr. Pooya Shirazi | Water Engineering | Best Researcher Award
Dr. Pooya Shirazi | Water Engineering | Ferdowsi University of Mashhad | Iran
Dr. Pooya Shirazi is a distinguished Iranian researcher and academic in the field of water science and engineering whose career reflects a strong integration of hydrological expertise, climate science, and advanced computational methods. He obtained his Bachelor’s degree in Water Engineering and Sciences from the University of Zabol, followed by a Master’s degree in Water Engineering and Sciences at Isfahan University of Technology, and later earned his Ph.D. in Water Engineering and Sciences from Ferdowsi University of Mashhad, where his doctoral research focused on developing a mixed method for the estimation of regional meteorological data using panel data approaches under the supervision of leading professors. His professional experience spans several notable roles, including Research Director at the Water and Environmental Research Institute of Ferdowsi University of Mashhad, postdoctoral research in the Department of Water Science and Engineering, and adjunct professor positions at both Ferdowsi University of Mashhad and Payame Noor University. Throughout his academic career, Dr. Pooya Shirazi has combined teaching, supervision, and leadership, contributing significantly to the advancement of water resource management and hydroinformatics. His research interests are wide-ranging, covering statistical and hydrological modeling, hydrometeorology, climate change impacts, extreme event regionalization, crop modeling, remote sensing, artificial intelligence, data science, and the application of soft-computing techniques in hydro-environmental studies.
Selected Publications
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“Developing a Mixed Method for Estimation of Regional Meteorological Data with Panel Data Approach” – 2019 (Citations: 42)
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“Application of Remote Sensing and Hydroinformatics for Climate Change Impact Assessment” – 2021 (Citations: 27)
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“Extreme Event Regionalization in Hydrological Systems Using AI and Soft Computing” – 2020 (Citations: 31)
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“Crop Modeling and Water Resource Management under Climate Variability” – 2018 (Citations: 24)