Dr. Hany Mahbuby ๐ฎ๐ท is an Assistant Professor at the Faculty of Civil, Water, and Environmental Engineering, Shahid Beheshti University, Iran. ๐ With a PhD in Geodesy (2022), he excels in data assimilation, gravity field modeling, ionosphere research, groundwater estimation, and GNSS remote sensing. ๐ 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. ๐ง His research blends numerical modeling, optimization, and spectral analysis, underscoring his technical prowess. ๐ Despite a growing academic profile, increased international visibility, competitive research funding, and broader community engagement could further enhance his impact. ๐ Overall, Dr. Mahbuby stands out as a promising researcher whose expertise and dedication position him well for future recognition and contributions in his field. ๐
Professional Profileย
๐ Education
Dr. Hany Mahbuby ๐ฎ๐ท 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. ๐ He pursued an MSc in Geodesy at the University of Tehran (2016), deepening his expertise in spatial data science and geospatial modeling. ๐ 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. ๐ฐ๏ธ His interdisciplinary education equips him with robust knowledge to tackle complex challenges in environmental remote sensing, groundwater estimation, and GNSS applications. ๐ His academic path reflects a dedication to excellence and a commitment to addressing real-world environmental issues through science and innovation. ๐ก
๐๏ธ Professional Experience
Dr. Hany Mahbuby ๐ฎ๐ท brings a progressive professional journey marked by academic excellence and teaching commitment. ๐ 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. ๐จโ๐ซ In July 2023, he advanced to Assistant Professor, demonstrating recognition of his contributions and readiness for leadership roles. ๐ His work involves integrating remote sensing, groundwater monitoring, and numerical modeling, aligning with cutting-edge environmental and engineering challenges. ๐ฐ๏ธ His consistent teaching experience, combined with his research leadership, positions him as a valuable academic asset. ๐ His career reflects a commitment to both education and impactful research, making him a well-rounded scholar in his field. ๐
๐ฌ Research Interest
Dr. Hany Mahbuby ๐ฎ๐ท has diverse and innovative research interests, rooted in addressing critical environmental and engineering challenges. ๐ He focuses on data assimilation, merging satellite-based and ground-based observations to enhance groundwater modeling and environmental monitoring. ๐ง His expertise extends to gravity field modeling and ionosphere studies, applying GNSS remote sensing to understand Earth system dynamics. ๐ฐ๏ธ 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. ๐ His interests also include numerical optimization, ensuring that computational models are both efficient and accurate. โ๏ธ This interdisciplinary focus on environmental remote sensing and numerical modeling underscores his drive to produce impactful research that bridges theory and practical applications. ๐
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Award and Honor
While Dr. Hany Mahbuby ๐ฎ๐ท 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. ๐ Nonetheless, his innovative contributions to data assimilation and groundwater storage modeling stand as testament to his research impact and technical prowess. ๐ฐ๏ธ His dedication to interdisciplinary research, commitment to mentoring, and technical expertise make him a strong candidate for future awards and recognitions. ๐ 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. ๐ With continued growth and strategic engagement, his promising career trajectory is likely to attract honors and recognition in the near future. ๐ช
๐ ๏ธ Research Skill
Dr. Hany Mahbuby ๐ฎ๐ท possesses a robust skill set that enables him to tackle complex challenges in environmental remote sensing and numerical modeling. ๐ His expertise in data assimilation allows him to integrate satellite-based and ground-based observations for accurate groundwater modeling, essential for sustainable water management. ๐ง He excels in gravity field analysis and ionosphere modeling, applying GNSS remote sensing techniques to enhance understanding of Earthโs geophysical processes. ๐ฐ๏ธ Proficient in numerical optimization, he designs efficient and precise computational models that bridge theory and real-world applications. โ๏ธ Additionally, his skills in statistical analysis and spectral analysis ensure that his models are both reliable and innovative. ๐ This interdisciplinary skill set empowers him to contribute significantly to hydrology, geodesy, and environmental engineering, making him a valuable researcher. ๐
Publications Top Note ๐
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 ๐ฎ๐ท 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. ๐ His educational background, professional experience, and research skills reflect a commitment to advancing scientific knowledge and solving real-world challenges. ๐ก While opportunities remain to expand his international recognition, secure competitive grants, and deepen community engagement, his trajectory is promising. ๐ With continued effort toward high-impact publications, global collaborations, and societal impact, Dr. Mahbuby is poised to become a leading figure in his field. ๐ 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. ๐