Dr. Hany Mahbuby 🇮🇷 is an Assistant Professor at the Faculty of Civil, Water, and Environmental Engineering, Shahid Beheshti University, Iran. 🎓 With a PhD in Geodesy (2022), he excels in data assimilation, gravity field modeling, ionosphere research, groundwater estimation, and GNSS remote sensing. 🌍 His innovative approach merges GRACE and GLDAS data with groundwater well observations to create a high-resolution groundwater storage anomaly grid, addressing critical water resource challenges. 💧 His research blends numerical modeling, optimization, and spectral analysis, underscoring his technical prowess. 📊 Despite a growing academic profile, increased international visibility, competitive research funding, and broader community engagement could further enhance his impact. 🌐 Overall, Dr. Mahbuby stands out as a promising researcher whose expertise and dedication position him well for future recognition and contributions in his field. 🌟
Professional Profile
🎓 Education
Dr. Hany Mahbuby 🇮🇷 earned his BSc in Geomatics and Surveying Engineering from Amirkabir University of Technology (Tehran Polytechnic) in 2007, laying a strong technical foundation for his academic journey. 📐 He pursued an MSc in Geodesy at the University of Tehran (2016), deepening his expertise in spatial data science and geospatial modeling. 📊 His academic trajectory culminated in a PhD in Geodesy from K. N. Toosi University of Technology (2022), where he advanced his research in numerical modeling, data assimilation, and gravity field analysis. 🛰️ His interdisciplinary education equips him with robust knowledge to tackle complex challenges in environmental remote sensing, groundwater estimation, and GNSS applications. 🌍 His academic path reflects a dedication to excellence and a commitment to addressing real-world environmental issues through science and innovation. 💡
🏛️ Professional Experience
Dr. Hany Mahbuby 🇮🇷 brings a progressive professional journey marked by academic excellence and teaching commitment. 📚 He began his academic career as a Lecturer from September 2017 to May 2023 at Shahid Beheshti University, where he contributed to foundational courses in geomatics and geodesy while mentoring students. 👨🏫 In July 2023, he advanced to Assistant Professor, demonstrating recognition of his contributions and readiness for leadership roles. 🚀 His work involves integrating remote sensing, groundwater monitoring, and numerical modeling, aligning with cutting-edge environmental and engineering challenges. 🛰️ His consistent teaching experience, combined with his research leadership, positions him as a valuable academic asset. 📈 His career reflects a commitment to both education and impactful research, making him a well-rounded scholar in his field. 🌟
🔬 Research Interest
Dr. Hany Mahbuby 🇮🇷 has diverse and innovative research interests, rooted in addressing critical environmental and engineering challenges. 🌍 He focuses on data assimilation, merging satellite-based and ground-based observations to enhance groundwater modeling and environmental monitoring. 💧 His expertise extends to gravity field modeling and ionosphere studies, applying GNSS remote sensing to understand Earth system dynamics. 🛰️ He is particularly passionate about integrating GRACE and GLDAS data with observed groundwater level anomalies to create fine-scale groundwater storage models using statistical and spectral analysis. 📊 His interests also include numerical optimization, ensuring that computational models are both efficient and accurate. ⚙️ This interdisciplinary focus on environmental remote sensing and numerical modeling underscores his drive to produce impactful research that bridges theory and practical applications. 🔗
🏅 Award and Honor
While Dr. Hany Mahbuby 🇮🇷 demonstrates strong research achievements and a progressive academic career, his current record does not yet highlight specific awards and honors from national or international bodies. 🌐 Nonetheless, his innovative contributions to data assimilation and groundwater storage modeling stand as testament to his research impact and technical prowess. 🛰️ His dedication to interdisciplinary research, commitment to mentoring, and technical expertise make him a strong candidate for future awards and recognitions. 🏆 By expanding his research collaborations, increasing high-impact publications, and engaging in international scientific communities, Dr. Mahbuby is well-positioned to earn accolades that celebrate his contributions to environmental engineering and geodesy. 🌟 With continued growth and strategic engagement, his promising career trajectory is likely to attract honors and recognition in the near future. 💪
🛠️ Research Skill
Dr. Hany Mahbuby 🇮🇷 possesses a robust skill set that enables him to tackle complex challenges in environmental remote sensing and numerical modeling. 📊 His expertise in data assimilation allows him to integrate satellite-based and ground-based observations for accurate groundwater modeling, essential for sustainable water management. 💧 He excels in gravity field analysis and ionosphere modeling, applying GNSS remote sensing techniques to enhance understanding of Earth’s geophysical processes. 🛰️ Proficient in numerical optimization, he designs efficient and precise computational models that bridge theory and real-world applications. ⚙️ Additionally, his skills in statistical analysis and spectral analysis ensure that his models are both reliable and innovative. 📈 This interdisciplinary skill set empowers him to contribute significantly to hydrology, geodesy, and environmental engineering, making him a valuable researcher. 🌟
Publications Top Note 📝
1. Assimilation of in-situ groundwater level data into the obtained groundwater storage from GRACE and GLDAS for spatial downscaling
Authors: Hany Mahbuby, Mehdi Eshagh
Year: 2025
Source: Journal of Hydrology
2. Investigating the prediction ability of the ionospheric continuity equation during the geomagnetic storm on May 8, 2016
Authors: Hany Mahbuby, Yazdan Amerian
Year: 2025
Source: Journal of Geodetic Science
3. Regional ionospheric electron density modeling by assimilation of GPS-derived TEC into IRI-provided grids on May 8, 2016
Authors: Hany Mahbuby, Yazdan Amerian
Year: 2023
Source: Advances in Space Research
4. Improving the performance of time-varying spherical radial basis functions in regional VTEC modeling with sparse data
Authors: Hany Mahbuby, Yazdan Amerian
Year: 2022
Source: Advances in Space Research
5. Application of the nonlinear optimisation in regional gravity field modelling using spherical radial base functions
Authors: Hany Mahbuby, Yazdan Amerian, Amirhossein Nikoofard, Mehdi Eshagh
Year: 2021
Source: Studia Geophysica et Geodaetica
6. Regional Assimilation of GPS-Derived TEC into GIMs
Authors: Hany Mahbuby, Yazdan Amerian
Year: 2021
Source: Pure and Applied Geophysics
7. Total electron content modeling in terms of spherical radial basis functions over Iran
Authors: Sh. Khoshgovari, Y. Amerian, H. Mahbuby
Year: 2020
Source: Journal of the Earth and Space Physics
8. Local gravity field modeling using spherical radial basis functions and a genetic algorithm
Authors: Hany Mahbuby, Abdolreza Safari, Ismael Foroughi
Year: 2017
Source: Comptes Rendus Geoscience
Conclusion
In conclusion, Dr. Hany Mahbuby 🇮🇷 stands out as a dedicated and innovative researcher whose expertise in geodesy, data assimilation, and groundwater modeling positions him to make impactful contributions to environmental engineering. 🌍 His educational background, professional experience, and research skills reflect a commitment to advancing scientific knowledge and solving real-world challenges. 💡 While opportunities remain to expand his international recognition, secure competitive grants, and deepen community engagement, his trajectory is promising. 🚀 With continued effort toward high-impact publications, global collaborations, and societal impact, Dr. Mahbuby is poised to become a leading figure in his field. 🏆 His dedication and technical prowess make him a deserving candidate for recognition and support as an emerging leader in environmental remote sensing and numerical modeling. 🌟