Research Excellence Award
| Mohammad Mahdi Ershad |
| Affiliation |
Amirkabir University of Technology |
| Country |
Iran |
| Scopus |
57212585059 |
| Documents |
22 |
| Citations |
194 |
| h-index |
10 |
| Subject Area |
Biomedical and Healthcare Applications |
| Event |
Global Tech Excellence Awards |
Mohammad Mahdi Ershadi is a researcher affiliated with Amirkabir University of Technology whose scholarly work has contributed to the advancement of biomedical and healthcare applications through interdisciplinary technological research. His academic profile demonstrates sustained contributions in healthcare-oriented engineering studies, supported by measurable citation performance and publication activity indexed in major international databases.[1] The recognition associated with the Research Excellence Award reflects his ongoing engagement with applied scientific innovation, research dissemination, and academic collaboration in emerging biomedical domains.[2]
Abstract
This article presents an overview of the academic achievements, publication record, and research impact associated with Mohammad Mahdi Ershadi in the field of biomedical and healthcare applications. The profile highlights measurable scholarly indicators, including indexed publications, citation performance, and interdisciplinary research engagement. The article also evaluates the relevance of these contributions within the context of the Global Tech Excellence Awards and broader scientific recognition frameworks.[1][3]
Keywords
Biomedical engineering, healthcare applications, academic recognition, research impact, citation analysis, scientific publications, interdisciplinary technology, healthcare innovation, Scopus indexing, scholarly contributions.[2]
Introduction
The increasing integration of engineering methodologies within healthcare systems has generated substantial opportunities for interdisciplinary scientific advancement. Researchers working within biomedical and healthcare applications contribute to technological innovation, diagnostic optimization, computational healthcare analysis, and applied engineering solutions that support clinical and societal needs. Within this evolving academic landscape, Mohammad Mahdi Ershadi has established a scholarly profile characterized by indexed publications, citation-based visibility, and participation in internationally recognized research dissemination platforms.[1]
Academic evaluation metrics such as document count, citation performance, and h-index values are commonly used to assess research productivity and influence across scientific disciplines. These indicators provide measurable insight into scholarly reach, collaborative engagement, and the sustainability of research output over time. The current profile demonstrates a developing yet notable research trajectory within biomedical and healthcare-oriented scientific domains.[3]
Research Profile
Mohammad Mahdi Ershadi is affiliated with Amirkabir University of Technology, a recognized institution with established contributions to engineering and technological sciences. His research portfolio includes 22 indexed documents with a cumulative citation count of 194 and an h-index of 10, reflecting a stable level of scholarly engagement and research dissemination within biomedical and healthcare application domains.[1]
The profile reflects interdisciplinary integration between healthcare technologies and engineering methodologies, emphasizing the practical implementation of scientific knowledge within biomedical contexts. Such interdisciplinary approaches are increasingly recognized as essential for addressing modern healthcare challenges through data-driven systems, medical technologies, and applied computational frameworks.
Research Contributions
The research contributions associated with Mohammad Mahdi Ershadi primarily align with biomedical and healthcare-oriented technological studies. These contributions involve the application of engineering techniques to healthcare environments, where scientific methodologies are utilized to improve analytical efficiency, technological integration, and practical implementation within biomedical systems.
The documented publication activity indicates ongoing participation in scholarly communication through indexed journals and conference-related dissemination channels. Citation accumulation across published works further suggests that elements of the research output have achieved measurable academic visibility and relevance among related scientific communities.
Publications
The publication profile includes peer-reviewed scholarly outputs indexed through international academic databases. These publications contribute to the visibility and dissemination of biomedical engineering and healthcare-related technological research. Indexed research outputs play a significant role in validating scientific contributions through citation tracking, peer-review assessment, and bibliometric evaluation.[1] [4]
DOI-linked publications facilitate long-term accessibility and citation reliability within digital academic infrastructures. The use of persistent identifiers further supports research transparency, discoverability, and scholarly preservation across multidisciplinary scientific environments. [5]
Research Impact
Research impact is commonly evaluated using citation indicators, publication metrics, and scholarly influence across academic communities. The profile associated with Mohammad Mahdi Ershadi demonstrates moderate but consistent citation performance with 194 citations and an h-index of 10. These indicators suggest that several publications have attained recurring academic reference and measurable research visibility.[1]
Within biomedical and healthcare applications, citation-based impact often reflects the relevance of research methodologies, technological applicability, and interdisciplinary adaptability. The observed citation performance aligns with a developing research trajectory characterized by sustained publication activity and growing academic recognition.
Award Suitability
The scholarly profile of Mohammad Mahdi Ershadi demonstrates characteristics commonly associated with research recognition frameworks, including indexed publication activity, citation accumulation, interdisciplinary engagement, and institutional research affiliation. These indicators collectively support the relevance of his profile within the context of the Global Tech Excellence Awards.[2]
Recognition within academic award systems typically considers research productivity, scholarly visibility, and the potential societal relevance of scientific contributions. The integration of healthcare-oriented engineering methodologies within the research portfolio further contributes to the suitability of the profile for technology-focused academic recognition initiatives.
Conclusion
Mohammad Mahdi Ershadi has developed a research profile characterized by interdisciplinary biomedical and healthcare-oriented scientific contributions supported through indexed publications and measurable citation performance. The profile reflects continued scholarly engagement, research dissemination, and participation in internationally recognized academic infrastructures.[1]
The documented academic indicators and research activities demonstrate alignment with the objectives of professional scientific recognition programs such as the Global Tech Excellence Awards. Continued publication activity and collaborative scientific engagement may further strengthen the long-term academic visibility and influence of the research portfolio.[2]
External Links
References
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- Elsevier. (n.d.). Scopus author details: Mohammad Mahdi Ershadi, Author ID 57212585059. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=57212585059
- Global Tech Excellence Awards. (n.d.). Official event and award information.
https://globaltechexcellence.com/
- ORCID. (n.d.). ORCID record for Mohammad Mahdi Ershadi.
https://orcid.org/0000-0002-7409-6469
- Entropy-guided semi-supervised framework for robust chest X-ray segmentation using dynamic competition and patch-wise contrastive learning.
https://www.sciencedirect.com/science/article/abs/pii/S1746809426004878?via%3Dihub
- Decoding DQM for experimental insights on data quality metadata’s impact on decision-making process efficacy.
https://www.researchgate.net/publication/402357652_Decoding_DQM_for_Experimental_Insights_on_Data_Quality_Metadata’s_Impact_on_Decision-Making_Process_Efficacy