Innovative Research Award
Mohamed Rashed — King Abdulaziz University, Saudi Arabia
Mohamed Rashed is a geophysics researcher whose documented scholarly work covers seismic reflection, ground-penetrating radar (GPR), geophysical data processing, and subsurface investigations. His publication record includes research on seismic imaging, signal processing, groundwater resources, and environmental geophysics.[1]
Abstract
This article presents the research profile of Mohamed Rashed in geophysics. His documented work includes seismic data processing, GPR imaging, groundwater assessment, and geophysical approaches to environmental investigations. These topics address subsurface characterization, interpretation of geophysical measurements, and the investigation of geological and hydrological systems.[1]
Keywords
Geophysics; seismic reflection; ground-penetrating radar; seismic stacking; signal processing; subsurface imaging; electromagnetic induction; groundwater assessment; environmental geophysics; geological interpretation.
Introduction
Geophysics uses physical measurements and analytical methods to investigate geological structures and subsurface conditions. Seismic methods and GPR are useful for imaging underground features, while electromagnetic and other geophysical techniques can support groundwater and environmental studies.[1]
Research Profile
The ORCID record identifies Rashed as a professor associated with King Abdulaziz University and records earlier academic appointments at Suez Canal University. His stated research keywords include geophysics, seismic methods, GPR, electromagnetic methods, and processing.[1]
Research Contributions
Selected publications describe methods for improving seismic data processing and GPR interpretation. Examples include work on seismic stacking, background removal, adaptive filtering, and the enhancement of subsurface images. Other studies apply geophysical measurements to groundwater resources, underground utilities, and environmental contamination, illustrating the range of problems addressed in the publication record.[2]
Publications
Selected works include “Selective Trace Mix: A New Processing Tool to Enhance Seismic Imaging of Complex Subsurface Structures” and “Integrated Assessment of Coastal Groundwater Vulnerability in Western Kingdom of Saudi Arabia Using the DRASTIC Model and Machine Learning Algorithms.” These record provides DOI information for these publications, enabling readers to consult the original research and verify bibliographic details.[3]
Research Impact
The researcher information reports 48 documents, 661 citations, and an h-index of 15. These indicators provide a quantitative snapshot of publication and citation activity, but they can change over time and may differ between databases. They should therefore be interpreted alongside publication quality, methodological contributions, and the relevance of individual studies.[4]
Award Suitability
The documented focus on seismic processing, subsurface imaging, and applied geophysical investigation provides a scholarly basis for consideration under an Innovative Research Award. A formal assessment should examine originality, methodological validity, publication evidence, and the significance of the research outcomes.
Conclusion
Mohamed Rashed’s recorded research spans seismic interpretation, GPR processing, and applied geophysics for geological, hydrological, and environmental investigations. His ORCID profile and linked publications provide resources for reviewing his academic background and research outputs.
External Links
References
- ORCID. (n.d.). Mohamed Rashed — ORCID researcher record.
https://orcid.org/0000-0002-4977-9209
- Rashed, M., et al. (2026). Selective Trace Mix: A New Processing Tool to Enhance Seismic Imaging of Complex Subsurface Structures. Journal of Imaging.
https://doi.org/10.3390/jimaging12030124
- El Osta, M., Masoud, M., Al-Amri, N., et al. (2026). Integrated Assessment of Coastal Groundwater Vulnerability in Western Kingdom of Saudi Arabia Using the DRASTIC Model and Machine Learning Algorithms. Earth.
https://doi.org/10.3390/earth7030097
- Elsevier. (n.d.). Scopus author details: Mohamed Rashed, Author ID 7006151178. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=7006151178
- Rashed, M., et al. (2025). Triple Filtering of Terrain Conductivity Data for Precise Tracing of Underground Utilities. Geosciences.
https://doi.org/10.3390/geosciences15050179