Hany Mahbuby | Data Science | Best Researcher Award

Dr. Hany Mahbuby | Data Science | Best Researcher Award

Assistant Professor at Shahid Beheshti University, Iran

Dr. Hany Mahbuby ๐Ÿ‡ฎ๐Ÿ‡ท is an Assistant Professor at the Faculty of Civil, Water, and Environmental Engineering, Shahid Beheshti University, Iran. ๐ŸŽ“ With a PhD in Geodesy (2022), he excels in data assimilation, gravity field modeling, ionosphere research, groundwater estimation, and GNSS remote sensing. ๐ŸŒ 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. ๐Ÿ’ง His research blends numerical modeling, optimization, and spectral analysis, underscoring his technical prowess. ๐Ÿ“Š Despite a growing academic profile, increased international visibility, competitive research funding, and broader community engagement could further enhance his impact. ๐ŸŒ Overall, Dr. Mahbuby stands out as a promising researcher whose expertise and dedication position him well for future recognition and contributions in his field. ๐ŸŒŸ

Professional Profileย 

๐ŸŽ“ Education

Dr. Hany Mahbuby ๐Ÿ‡ฎ๐Ÿ‡ท 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. ๐Ÿ“ He pursued an MSc in Geodesy at the University of Tehran (2016), deepening his expertise in spatial data science and geospatial modeling. ๐Ÿ“Š 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. ๐Ÿ›ฐ๏ธ His interdisciplinary education equips him with robust knowledge to tackle complex challenges in environmental remote sensing, groundwater estimation, and GNSS applications. ๐ŸŒ His academic path reflects a dedication to excellence and a commitment to addressing real-world environmental issues through science and innovation. ๐Ÿ’ก

๐Ÿ›๏ธ Professional Experience

Dr. Hany Mahbuby ๐Ÿ‡ฎ๐Ÿ‡ท brings a progressive professional journey marked by academic excellence and teaching commitment. ๐Ÿ“š 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. ๐Ÿ‘จโ€๐Ÿซ In July 2023, he advanced to Assistant Professor, demonstrating recognition of his contributions and readiness for leadership roles. ๐Ÿš€ His work involves integrating remote sensing, groundwater monitoring, and numerical modeling, aligning with cutting-edge environmental and engineering challenges. ๐Ÿ›ฐ๏ธ His consistent teaching experience, combined with his research leadership, positions him as a valuable academic asset. ๐Ÿ“ˆ His career reflects a commitment to both education and impactful research, making him a well-rounded scholar in his field. ๐ŸŒŸ

๐Ÿ”ฌ Research Interest

Dr. Hany Mahbuby ๐Ÿ‡ฎ๐Ÿ‡ท has diverse and innovative research interests, rooted in addressing critical environmental and engineering challenges. ๐ŸŒ He focuses on data assimilation, merging satellite-based and ground-based observations to enhance groundwater modeling and environmental monitoring. ๐Ÿ’ง His expertise extends to gravity field modeling and ionosphere studies, applying GNSS remote sensing to understand Earth system dynamics. ๐Ÿ›ฐ๏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. ๐Ÿ“Š His interests also include numerical optimization, ensuring that computational models are both efficient and accurate. โš™๏ธ This interdisciplinary focus on environmental remote sensing and numerical modeling underscores his drive to produce impactful research that bridges theory and practical applications. ๐Ÿ”—

๐Ÿ… Award and Honor

While Dr. Hany Mahbuby ๐Ÿ‡ฎ๐Ÿ‡ท 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. ๐ŸŒ Nonetheless, his innovative contributions to data assimilation and groundwater storage modeling stand as testament to his research impact and technical prowess. ๐Ÿ›ฐ๏ธ His dedication to interdisciplinary research, commitment to mentoring, and technical expertise make him a strong candidate for future awards and recognitions. ๐Ÿ† 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. ๐ŸŒŸ With continued growth and strategic engagement, his promising career trajectory is likely to attract honors and recognition in the near future. ๐Ÿ’ช

๐Ÿ› ๏ธ Research Skill

Dr. Hany Mahbuby ๐Ÿ‡ฎ๐Ÿ‡ท possesses a robust skill set that enables him to tackle complex challenges in environmental remote sensing and numerical modeling. ๐Ÿ“Š His expertise in data assimilation allows him to integrate satellite-based and ground-based observations for accurate groundwater modeling, essential for sustainable water management. ๐Ÿ’ง He excels in gravity field analysis and ionosphere modeling, applying GNSS remote sensing techniques to enhance understanding of Earthโ€™s geophysical processes. ๐Ÿ›ฐ๏ธ Proficient in numerical optimization, he designs efficient and precise computational models that bridge theory and real-world applications. โš™๏ธ Additionally, his skills in statistical analysis and spectral analysis ensure that his models are both reliable and innovative. ๐Ÿ“ˆ This interdisciplinary skill set empowers him to contribute significantly to hydrology, geodesy, and environmental engineering, making him a valuable researcher. ๐ŸŒŸ

Publications Top Note ๐Ÿ“

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 ๐Ÿ‡ฎ๐Ÿ‡ท 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. ๐ŸŒ His educational background, professional experience, and research skills reflect a commitment to advancing scientific knowledge and solving real-world challenges. ๐Ÿ’ก While opportunities remain to expand his international recognition, secure competitive grants, and deepen community engagement, his trajectory is promising. ๐Ÿš€ With continued effort toward high-impact publications, global collaborations, and societal impact, Dr. Mahbuby is poised to become a leading figure in his field. ๐Ÿ† 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. ๐ŸŒŸ

Mr. Yan hui Wu | Machine Learning Awards | Best Researcher Award

Mr. Yan hui Wu | Machine Learning Awards | Best Researcher Award

Mr. Yan hui Wu , Hebei University of Engineering , China

Yanhui Wu is a Senior Engineer at the School of Mining and Surveying Engineering, Hebei University of Engineering. He completed his Ph.D. in Geophysical Exploration and Information Technology at the China University of Mining and Technology (Beijing) in 2023. He also holds an M.Sc. in the same field from the China University of Geosciences (Beijing) and a B.Sc. in Computer Science and Technology from Hebei University of Technology. Wu’s career includes nearly a decade at the Geological Geophysical Center, Hebei Coal Science Research Institute, Jizhong Energy Group, where he served as a Senior Engineer. He has participated in significant research projects, including the Ministry of Science and Technology’s National Key R&D Program on dynamic intelligent detection technology for hidden disaster geological factors in coal mines. Wu’s research has been published in several renowned journals, with notable works on seismic multiattribute machine learning, fault evaluation, and collapse column prediction in coal strata.

Professional Profile:

Orcid

ย ๐ŸŽ“Education:

Yanhui Wu holds a Ph.D. in Geophysical Exploration and Information Technology from the China University of Mining and Technology (Beijing), which he completed in June 2023. He also earned an M.Sc. in the same field from the China University of Geosciences (Beijing) in June 2010. Additionally, Wu has a B.Sc. in Computer Science and Technology from Hebei University of Technology, which he obtained in June 2007.

ย ๐ŸขWork Experience:

Yanhui Wu currently serves as a Senior Engineer at the School of Mining and Surveying Engineering, Hebei University of Engineering. Prior to this role, he held a Senior Engineer position at the Geological Geophysical Center of Hebei Coal Science Research Institute, part of the Jizhong Energy Group, from August 2010 to July 2019.

Publication Top Notes:

  • Application of seismic multiattribute machine learning to determine coal strata thickness
    • Published Year: 2021
    • Journal: Journal of Geophysics and Engineering
    • Cited by: 834-844
  • Quantitative Evaluation of Faults by Combined Channel Wave Seismic Transmission-Reflection Detection Method
    • Published Year: 2022
    • Journal: Minerals
    • Cited by: 1022-1032
  • Precise prediction of the collapse column based on channel wave spectral disparity characteristics and velocity tomography imaging
    • Published Year: 2022
    • Journal: Journal of Geophysics and Engineering
    • Cited by: 326-335
  • Application research of combined detection of transmission and reflection slot waves for small structuresโ€”Taking Longquan Mining Area in Shanxi as an example
    • Published Year: 2021
    • Journal: Progress in Geophysics
    • Cited by: 1325-1332