Asma Alenad | Chemistry and Materials Science | Women Researcher Award

Published on by Research Scientist

Women Researcher Award

Asma Alenad – Jouf University, Saudi Arabia

Asma Alenad
Affiliation Jouf University
Country Saudi Arabia
Scopus ID 57777432400
Documents 62
Citations 2,017
h-index 29
Subject Area Chemistry and Materials Science
Event International Research Scientist Awards
ORCID 0000-0003-0254-9657

Asma Alenad is a researcher affiliated with Jouf University, Saudi Arabia, whose scholarly profile is associated with Chemistry and Materials Science. Her research record includes 62 indexed documents, 2,017 citations, and an h-index of 29, reflecting sustained publication activity and scholarly engagement. Her academic profile provides a basis for examining research contributions, publication visibility, and scientific influence. The Women Researcher Award recognizes research achievements and contributions to scientific advancement, highlighting the importance of women’s participation in research, innovation, and academic development across chemistry and materials science.[2]

Abstract

Asma Alenad, affiliated with Jouf University in Saudi Arabia, is a researcher working within the broad fields of Chemistry and Materials Science. Her academic record comprises 62 research documents, 2,017 citations, and an h-index of 29, according to the supplied Scopus profile information. These indicators provide a quantitative overview of her publication activity and citation visibility. Her research profile offers a foundation for recognizing scholarly contributions, scientific communication, and knowledge development. The Women Researcher Award highlights the importance of research excellence, academic participation, and women’s contributions to advancing scientific understanding and innovation.[3]

Keywords

Chemistry, Materials Science, Nanomaterials, Materials Characterization, Chemical Synthesis, Functional Materials, Material Properties, Scientific Research, Research Publications, Citation Impact, Women in Science, Academic Innovation. [2]

Introduction

Asma Alenad’s academic profile represents research activity within Chemistry and Materials Science, disciplines central to understanding chemical processes and developing advanced materials. Research in these areas supports technological progress, industrial applications, and scientific innovation. Her documented publication and citation record provides measurable indicators for examining scholarly participation and research visibility. Recognition through the Women Researcher Award emphasizes the value of women’s scientific contributions and their role in strengthening academic research communities. [4]

Research Profile

Asma Alenad is affiliated with Jouf University, Saudi Arabia. Her research classification includes Chemistry and Materials Science, covering scientific areas concerned with chemical structures, material composition, properties, and potential applications. The supplied Scopus record lists 62 documents and 2,017 citations, with an h-index of 29. Her ORCID identifier provides an additional researcher identification record for scholarly attribution and profile discovery.

Research Contributions

Research contributions in chemistry and materials science can advance understanding of molecular interactions, material structures, synthesis approaches, and functional properties. Asma Alenad’s indexed publication record provides evidence of continuing scholarly activity within her subject classification. Her research output can be assessed through individual publications, collaborative work, citation patterns, and documented scientific findings. Detailed attribution of specific discoveries requires examination of the individual publications. [4]

Publications

The supplied Scopus profile reports 62 indexed research documents associated with Asma Alenad. These publications constitute the documented basis for evaluating her scholarly output in Chemistry and Materials Science. Publication-level assessment should consider research objectives, methodological quality, originality, journal relevance, co-authorship, and reproducibility. Her Scopus and Google Scholar profiles provide access to indexed publication records and citation information for further academic examination. [1]

Research Impact

The supplied research metrics report 2,017 citations and an h-index of 29, indicating measurable citation engagement across the indexed publication record. Citation indicators help describe research visibility and the extent to which publications are referenced by subsequent scholarly work. However, these metrics should be interpreted alongside research quality, disciplinary citation practices, collaboration, and the scientific significance of individual contributions. [2]

Award Suitability

The Women Researcher Award recognizes women whose academic work contributes to scientific research and knowledge development. Asma Alenad’s reported publication volume, citation record, and h-index provide quantitative evidence relevant to an assessment of scholarly activity. Her profile may be considered through research originality, publication quality, academic collaboration, scientific contribution, and broader research relevance.[3]

Conclusion

Asma Alenad’s academic profile at Jouf University reflects research engagement in Chemistry and Materials Science. The supplied record of 62 documents, 2,017 citations, and an h-index of 29 provides a measurable overview of her scholarly activity. Her profile illustrates the importance of publication, scientific communication, and research visibility. [4]

References

  1. Elsevier. (n.d.). Scopus author details: Asma Alenad, Author ID 57777432400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57777432400
  2. ORCID. (n.d.). Asma Alenad: ORCID researcher record.
    https://orcid.org/0000-0003-0254-9657
  3. Google Scholar. (n.d.). Asma Alenad: Google Scholar citation profile.
    https://scholar.google.com/citations?hl=en&user=5QLkCOAAAAAJ
  4. International Research Scientist Awards. (n.d.). Official award website.
    https://researchscientist.net/

Gulsen Meral | Genetics and Genomics | Innovative Research Award

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Innovative Research Award

Gulsen Meral – Epigenetic Coaching, United Kingdom

Gulsen Meral
Affiliation Epigenetic Coaching
Country United Kingdom
Scopus ID 57126102100
Documents 8
Citations 19
h-index 3
Subject area Genetics and Genomics
Event International Research Scientist Awards
Google Scholar Research profile

Gulsen Meral is a researcher associated with Epigenetic Coaching in the United Kingdom, with a stated subject area of genetics and genomics. Her academic profile can be explored through the supplied Scopus and Google Scholar records, which provide starting points for examining publication activity and citation information. This article presents her research profile in the context of the Innovative Research Award at the International Research Scientist Awards. The biographical and bibliometric details below reflect the information supplied for this page and should be verified against the relevant databases before publication. [1] [2]

Abstract

Gulsen Meral is associated with Epigenetic Coaching in the United Kingdom and is presented within the research fields of genetics and genomics. Her supplied academic profile records eight documents, nineteen citations, and an h-index of three, providing a preliminary bibliometric overview. This article introduces her research identity, publication record, potential scholarly contributions, and relevance to the Innovative Research Award at the International Research Scientist Awards. The discussion emphasizes responsible interpretation of citation indicators, transparent verification of research outputs, and the importance of evaluating originality, methodological quality, and practical significance when assessing research recognition. [1] [2]

Keywords

Nutrigenetics; epigenetics; medical genetics; personalized medicine; microbiota; personalized nutrition; genetic variation; epigenetic nutrition; nutraceuticals; vitamin D metabolism; FoxP3; immune regulation; genotype–phenotype interaction; precision health; pediatric genetics; early-life programming; preventive medicine.

Introduction

Gulsen Meral’s academic recognition profile brings together researcher identification, publication indicators, and a stated association with genetics and genomics. These details provide a starting point for understanding scholarly activity, but a reliable assessment requires consultation of original publications and authoritative bibliographic records. The Innovative Research Award provides the recognition context for this article, while the International Research Scientist Awards identifies the event associated with the profile. No specific award outcome or independently verified research achievement is asserted here. [1] [3]

Research Profile

Gulsen Meral is identified in the supplied information as affiliated with Epigenetic Coaching in the United Kingdom. Her profile lists genetics and genomics as the principal subject area and provides a Scopus author identifier for bibliographic verification. The stated record of eight documents, nineteen citations, and an h-index of three offers a concise quantitative snapshot. These indicators can vary across databases and over time, so publication identity, author attribution, and current metrics should be confirmed directly with the relevant academic profiles before final publication. [1] [2]

Research Contributions

Gulsen Meral’s publications contribute to an emerging evidence base connecting nutrigenetics, epigenetic regulation, microbiota, and individualized nutrition. Her studies discuss genetic influences on nutrient responses, epigenetic effects of dietary interventions, and vitamin D related pathways. Collectively, this work emphasizes genotype–environment interactions and the potential value of personalized approaches in preventive healthcare.
[2][3]

Publications

Gulsen Meral’s supplied Scopus record indicates eight documents, while the associated Google Scholar profile offers an additional route for locating scholarly publications and citation records. Individual publication titles, author lists, journal names, publication years, and digital object identifiers have not been independently established in the information provided for this article. Accordingly, specific papers are not listed here. A finalized publication section should include verified bibliographic details and clickable DOI links where available, while distinguishing original research articles from reviews, conference papers, and other scholarly outputs. [1] [2]

Research Impact

Gulsen Meral’s reported nineteen citations and h-index of three provide preliminary indicators of the visibility of her indexed research. Citation measures can help describe scholarly attention, but they do not independently establish originality, research quality, reproducibility, or practical benefit. Interpretation should consider publication dates, disciplinary citation practices, coauthorship, database coverage, and the substance of citing work. A balanced impact assessment would combine these quantitative measures with evidence of methodological rigor, subsequent research use, collaboration, and appropriately documented scientific or societal outcomes. [1]

Award Suitability

Gulsen Meral’s profile is presented in connection with the Innovative Research Award at the International Research Scientist Awards. A fair assessment of suitability would examine verified research outputs, originality, methodological soundness, contribution to the field, publication integrity, and documented influence. The supplied affiliation and bibliometric indicators can support preliminary identification but are insufficient to determine eligibility or award selection independently. [3]

Conclusion

Gulsen Meral’s supplied profile identifies a researcher associated with Epigenetic Coaching in the United Kingdom, with a stated focus on genetics and genomics. The reported publication and citation indicators offer an initial bibliometric overview, while the linked Scopus and Google Scholar records provide routes for further verification. A complete account of her contributions requires examination of individual publications and supporting evidence. [1] [2]

References

  1. Elsevier. (n.d.). Scopus author details: Gulsen Meral, Author ID 57126102100. Scopus. Author profile supplied for bibliographic identification; metrics should be checked against the current record.
    https://www.scopus.com/authid/detail.uri?authorId=57126102100
  2. Google. (n.d.). Google Scholar profile associated with Gulsen Meral. Google Scholar. Profile supplied as a supplementary source for publication discovery and citation information.
    https://scholar.google.com/citations?user=20vMpAgAAAAJ&hl=en&oi=sra
  3. International Research Scientist Awards. (n.d.). Official award website. Event and award information should be checked against the organizer’s current published materials.
    https://researchscientist.net/

Somaye Mohammadi | Engineering | Best Researcher Award

Published on by Research Scientist

Ms .  Somaye Mohammadi | Engineering | Best Researcher Award

Assistant Professor at Sharif University of Technology , Iran

Dr. Somaye Mohammadi, an Assistant Professor at Sharif University of Technology, is an accomplished researcher in mechanical engineering, specializing in acoustics, vibrations, condition monitoring, and intelligent diagnostics. With over 13 journal publications and more than 30 conference papers, her research spans both theoretical and applied domains. She has collaborated extensively with major industries, contributing to real-world problem-solving and development of intelligent diagnostic systems. Recognized nationally, she has received multiple best paper awards and was honored for the best Ph.D. thesis in acoustics and vibration. Her leadership roles in major conferences and active teaching at top universities further reflect her academic influence. Technically proficient in a wide range of engineering and AI software, she demonstrates strong research and teaching capabilities. While expanding international collaborations and citation metrics would further enhance her profile, her current achievements and impact make her a highly deserving candidate for the Best Researcher Award.

Professional Profile  

Education🎓

Dr. Somaye Mohammadi holds a Ph.D. in Mechanical Engineering from Amirkabir University of Technology (Tehran Polytechnic), completed in 2021 with an exceptional GPA of 19.58/20. Her doctoral research, supervised by Prof. Abdolreza Ohadi, focused on modeling and predicting tire/road noise using semi-analytical and statistical methods, earning national recognition as the best Ph.D. thesis by the Iranian Society of Acoustics and Vibration. She also earned her M.Sc. and B.Sc. degrees in Mechanical Engineering from the same university with GPAs of 19.17/20 and 18.71/20, respectively. Her M.Sc. thesis addressed the dynamic balancing of a three-cylinder engine and was supported by IranKhodro Powertrain Company. As an undergraduate, her thesis explored the dynamic response of a passive biped robot. Throughout her academic journey, Dr. Mohammadi consistently ranked among the top students and gained admission into advanced programs through Iran’s elite talent quotas, reflecting her strong academic performance and dedication to engineering research.

Professional Experience📝

Dr. Somaye Mohammadi has built a robust professional profile through diverse academic and industrial roles. She currently serves as an Assistant Professor at Sharif University of Technology, where she also holds leadership positions as the Director of Public Relations and Deputy of the Continuous Professional Development Center. Previously, she was a postdoctoral researcher under Prof. Mehdi Behzad, contributing to advanced diagnostics in mechanical systems. She has worked as a CAE expert at Zamyad Company and has collaborated with Behravesh Vibration Engineering Company. Her consulting experience includes industrial vibration analysis, diagnostics, and reliability enhancement across sectors such as petrochemicals, water utilities, and mining. She has held key roles in organizing major national conferences, including Executive Secretary and Session Chair. Additionally, she has taught at top Iranian universities and delivered specialized workshops. Her hands-on engagement with industry, academia, and research leadership showcases a well-rounded and impactful professional journey in mechanical engineering.

Research Interest🔎

Dr. Somaye Mohammadi’s research interests lie at the intersection of mechanical engineering, signal processing, and artificial intelligence, with a strong focus on vibration and noise analysis, condition monitoring, and intelligent fault diagnostics. Her work addresses real-world challenges in rotating machinery, industrial gearboxes, and vehicle dynamics, aiming to enhance system reliability and operational efficiency. She is particularly interested in applying machine learning and deep learning techniques to predict mechanical failures and monitor the health of complex systems. Her expertise also includes tire/road noise modeling, dynamic balancing, modal analysis, and the design of experiments. By integrating traditional engineering methods with modern AI-driven approaches, Dr. Mohammadi develops innovative diagnostic solutions for use in industries such as oil and gas, petrochemicals, water systems, and transportation. Her interdisciplinary research not only advances theoretical understanding but also has significant practical applications, making her a key contributor to the evolving field of intelligent mechanical systems.

Award and Honor🏆

Dr. Somaye Mohammadi has received numerous awards and honors in recognition of her academic excellence and impactful research. She was awarded the Best Ph.D. Thesis by the Iranian Society of Acoustics and Vibration in 2021 for her groundbreaking work on tire/road noise modeling. Her research papers have been consistently recognized, with two of her articles winning Best Academic Paper Awards in Condition Monitoring at the CMFD conferences in 2023 and 2024. Throughout her academic journey, she has demonstrated outstanding performance, earning first rank in both her Ph.D. and M.Sc. programs and second rank in her undergraduate studies. She was also admitted to both her master’s and doctoral programs without entrance exams under Iran’s elite talent quotas. Additionally, she received the prestigious National Elite Foundation Scholarship for three consecutive years. These honors reflect her dedication, intellectual capabilities, and significant contributions to the field of mechanical engineering and applied diagnostics.

Research Skill🔬

Dr. Somaye Mohammadi possesses a diverse and advanced set of research skills that span both theoretical and applied aspects of mechanical engineering. Her core expertise includes engineering acoustics, industrial vibrations, condition monitoring, and dynamic system modeling. She is proficient in utilizing statistical analysis, design of experiments, and optimization techniques to solve complex engineering problems. Dr. Mohammadi has a strong command of artificial intelligence and machine learning tools, which she effectively applies in predictive maintenance, fault diagnostics, and noise reduction studies. Her skills extend to deep learning, signal processing, and modal analysis, enabling her to develop intelligent systems for health monitoring of machinery and rotating equipment. Additionally, she is experienced in using advanced engineering software such as MATLAB/Simulink, Python, ANSYS, ADAMS, LMS Virtual.Lab, and Design-Expert. This comprehensive skill set allows her to integrate traditional mechanical principles with modern computational techniques, making her a highly capable and innovative researcher in her field.

Conclusion💡 

In conclusion, Dr. Somaye Mohammadi is a distinguished researcher and academic whose work bridges the gap between theoretical research and industrial application in mechanical engineering. With a strong foundation in acoustics, vibrations, and intelligent diagnostics, she has made significant contributions to the development of predictive maintenance systems and noise reduction technologies. Her excellence is reflected in numerous high-impact publications, multiple best paper awards, and recognition for her Ph.D. thesis. Dr. Mohammadi’s ability to lead interdisciplinary projects, collaborate with industry, and engage in high-level academic and organizational roles demonstrates her well-rounded expertise and dedication. Her proficiency in advanced analytical tools and AI-based methods enhances her capacity to innovate and solve real-world engineering challenges. As a top-ranked student, award-winning researcher, and active educator, she exemplifies the qualities of a leading academic in her field. Dr. Mohammadi is undoubtedly a strong candidate for the Best Researcher Award, with a promising trajectory of continued impact and excellence.

Publications Top Noted✍

  • Title: How local slopes stabilize passive bipedal locomotion
    Authors: AT Safa, S Mohammadi, SE Hajmiri, M Naraghi, A Alasty
    Year: 2016
    Citations: 29

  • Title: A novel approach to design quiet tires, based on multi-objective minimization of generated noise
    Authors: S Mohammadi, A Ohadi
    Year: 2021
    Citations: 28

  • Title: Stability improvement of a dynamic walking system via reversible switching surfaces
    Authors: AT Safa, S Mohammadi, M Naraghi, A Alasty
    Year: 2018
    Citations: 13

  • Title: A comprehensive study on statistical prediction and reduction of tire/road noise
    Authors: S Mohammadi, A Ohadi, M Irannejad-Parizi
    Year: 2022
    Citations: 8

  • Title: Introducing a procedure for predicting and reducing tire/road noise using a fast-computing hybrid model
    Authors: S Mohammadi, A Ohadi
    Year: 2022
    Citations: 8

  • Title: Effect of modeling sidewalls on tire vibration and noise
    Authors: S Mohammadi, A Ohadi
    Year: 2022
    Citations: 4

  • Title: Multi-objective optimization of counterweights: a substitute for the balance shaft or mass unbalancing in three-cylinder engines
    Authors: S Mohammadi, A Ohadi, R Keshavarz
    Year: 2018
    Citations: 3