Sara Amjad | Computer Science | Innovative Research Award

Published on by Computer Scientists Awards

Innovative Research Award

Sara Amjad
Aligarh Muslim University, India

Sara Amjad
Affiliation Aligarh Muslim University
Country India
Scopus ID 57222341800
Documents 2
Citations 483
h-index 2
Subject Area Computer Science
Event Computer Scientists Awards
Google Scholar ID MCnRe20AAAAJ&hl

Sara Amjad is a researcher associated with Aligarh Muslim University whose scholarly record includes work spanning cellular metabolism, molecular signaling, genetics, neuroscience, and computationally relevant biomedical research. Her documented publications include collaborative review research examining NAD+-dependent cellular processes and the genetics of glutamate signaling in autism spectrum disorder. These works provide evidence of interdisciplinary engagement across molecular biology, health sciences, and data-informed research.

Abstract

Sara Amjad’s research profile is represented by collaborative publications addressing biological signaling, metabolism, genetics, and neurodevelopment. Her work on NAD+ reviews its importance in energy metabolism, DNA repair, gene expression, cellular stress, aging, cancer, and neurodegeneration. [1] A second publication examines genetic alterations involving glutamate and its receptors in autism spectrum disorder, connecting molecular genetics with neuroscience and non-invasive imaging. [2]

Keywords

  • Computer Science
  • NAD+ metabolism
  • Cellular signaling
  • Genetics
  • Neuroscience
  • Autism spectrum disorder

Introduction

The supplied publication record indicates an interdisciplinary research orientation. In the NAD+ review, the authors describe NAD+ as a critical coenzyme involved in bioenergetics and cellular signaling, while discussing its relationship with aging, metabolic disorders, cancer, and neurodegeneration. [1] The autism spectrum disorder review evaluates genetic changes affecting glutamate and glutamate receptors and considers imaging approaches for investigating altered glutamatergic pathways. [2]

Research Profile

The provided Scopus information lists two documents, 483 citations, and an h-index of 2. These supplied metrics should be interpreted as a profile snapshot because citation databases can change over time. The publications also demonstrate collaboration across institutions and disciplines, including molecular medicine, genetics, neuroscience, imaging, and biomedical research.

Research Contributions

Amjad’s documented contribution includes participation in research that synthesizes evidence across complex biological systems. The NAD+ article identifies cellular energy metabolism, DNA damage repair, gene expression, and stress response as major areas influenced by NAD+ biology. [1] The genetics review addresses glutamatergic signaling and receptor biology in relation to autism spectrum disorder, emphasizing interactions among genetics, neuronal function, and imaging. [2]

Publications

  • Role of NAD+ in regulating cellular and metabolic signaling pathways, Molecular Metabolism, 2021, 49:101195.. [1]
  • Genetics of glutamate and its receptors in autism spectrum disorder, Molecular Psychiatry, 2022, 27:2380–2392. . [2]

Research Impact

The supplied citation count of 483 indicates that the documented publication set has received substantial scholarly attention relative to its size. The cited research addresses topics with broad biomedical relevance, including metabolism, cellular signaling, genetics, and neurodevelopment. The Nature publication also records citation and access metrics on its publisher page, illustrating continuing visibility of the research area. [2]

Award Suitability

Based on the supplied profile and publication evidence, Sara Amjad can be considered for an Innovative Research Award in recognition of interdisciplinary scholarly participation and research addressing contemporary questions in cellular metabolism, molecular genetics, neuroscience, and biomedical science. The assessment should remain subject to the award committee’s independent verification of affiliation, authorship, bibliographic records, and current research metrics.

Conclusion

Sara Amjad’s documented research contributions demonstrate engagement with interdisciplinary biomedical questions and collaborative scientific scholarship. Her publications on NAD+ signaling and glutamate genetics provide a foundation for evaluating her research profile within an innovation-focused academic recognition framework.

References

  1. Amjad, S. et al. (2021). Role of NAD+ in regulating cellular and metabolic signaling pathways. Molecular Metabolism, 49, 101195.
    https://doi.org/10.1016/j.molmet.2021.101195
  2. Nisar, S. et al. (2022). Genetics of glutamate and its receptors in autism spectrum disorder. Molecular Psychiatry, 27, 2380–2392.
    https://doi.org/10.1038/s41380-022-01506-w
  3. PubMed. (2021). Role of NAD+ in regulating cellular and metabolic signaling pathways. PMID 33609766.
    https://pubmed.ncbi.nlm.nih.gov/33609766/
  4. PubMed. (2022). Genetics of glutamate and its receptors in autism spectrum disorder. PMID 35296811.
    https://pubmed.ncbi.nlm.nih.gov/35296811/
  5. Elsevier. (n.d.). Role of NAD+ in regulating cellular and metabolic signaling pathways. Molecular Metabolism.
    https://www.sciencedirect.com/science/article/pii/S2212877821000351
  6. Springer Nature. (2022). Genetics of glutamate and its receptors in autism spectrum disorder. Molecular Psychiatry.
    https://www.nature.com/articles/s41380-022-01506-w

mourad JABRANE | Computer Science | Best Researcher Award

Published on by Computer Scientists Awards

Prof Dr. mourad JABRANE | Computer Science | Best Researcher Award

software enginee, sultan moulay slimane university, Morocco

JABRANE Mourad is a state-certified software engineer and a third-year Ph.D. candidate at the National School of Applied Sciences, Sultan Moulay Slimane University. With a passion for designing scalable and efficient systems, Mourad excels in data mining, machine learning, and distributed computing. As an adjunct professor, he effectively conveys complex concepts, making him a valuable contributor to both academia and industry.

Publication Profile

Strengths for the Award:

  1. Solid Academic Background: Jabrane Mourad holds a state-certified software engineering degree and is currently a Ph.D. candidate specializing in Big Data, showcasing a strong academic foundation in cutting-edge technologies.
  2. Research Contributions: His research work focuses on significant areas like entity resolution in Big Data, machine learning, and distributed computing. His publications in reputable journals, such as the Journal of Intelligent Information Systems and Information Systems, highlight his contributions to the field.
  3. Diverse Skill Set: Mourad has extensive expertise in programming languages (Java, Python, JavaScript, etc.), frameworks (Spring, Angular), and software engineering tools (Docker, Jenkins, Kubernetes), making him a well-rounded researcher with practical skills applicable to various domains.
  4. Teaching Experience: As an adjunct professor, Mourad has taught a wide range of subjects including data integration, advanced Java Enterprise Edition, and distributed systems. His teaching experience demonstrates his ability to communicate complex concepts clearly, which is a valuable trait in academia.
  5. International Recognition: The publication of his work in international journals and his participation in global research projects suggest that his research has gained international recognition, making him a strong candidate for the award.

Areas for Improvement:

  1. Broader Impact: While Mourad’s research contributions are significant, further efforts to collaborate on interdisciplinary projects or engage in community outreach could broaden the impact of his work.
  2. Innovation and Patents: Although he has a strong publication record, obtaining patents or developing innovative software solutions could further strengthen his candidacy for a best researcher award.
  3. Networking and Collaborations: Expanding his network and collaborating with more researchers across different institutions could help him gain more visibility and access to diverse research opportunities.

Education

Ph.D. Candidate (2021 – Present): National School of Applied Sciences, Sultan Moulay Slimane University.
Thesis title: Entity Resolution in Big Data. State Software Engineer (2018 – 2021): National School of Applied Sciences, Sultan Moulay Slimane University. MP Higher School Preparatory Classes (2016 – 2018): Centre Ibn Abdoun.
Track title: Mathematics, Physics, and Engineering Sciences.

Experience 💼

JABRANE Mourad has accumulated significant experience as an adjunct professor at the National School of Applied Sciences, where he has taught a variety of subjects including Data Integration, Data Quality, Advanced JEE, Distributed Systems, Python Programming, MATLAB, and C Programming. His roles extend to both regular courses and continuing education programs, demonstrating his versatility and commitment to teaching.

Research Focus 🔬

Mourad’s research is centered around big data, with specific interests in data mining, machine learning, and distributed computing. His Ph.D. work focuses on Entity Resolution in Big Data, where he is exploring innovative approaches to improve accuracy and efficiency in large-scale data matching.

Awards and Honors 🏅

Though the detailed awards and honors list is not provided, Mourad’s academic and professional journey is marked by his selection as a Ph.D. candidate and his appointment as an adjunct professor at a prestigious institution.

Publications 📚

Mourad has contributed extensively to the field of big data and machine learning. Below are some of his notable publications:

  1. “Erabqs: Entity resolution based on active machine learning and balancing query strategy” – Published in Journal of Intelligent Information Systems, March 2024. Cited by 3 articles.
  2. “Enhancing entity resolution with a hybrid active machine learning framework: Strategies for optimal learning in sparse datasets” – Published in Information Systems, November 2024. Cited by 7 articles.
  3. “Enhancing semantic web entity matching process using transformer neural networks and pre-trained language models” – Published in Computing and Informatics, 2024. Cited by 5 articles.
  4. “Sentiment analysis dataset in Moroccan dialect: Bridging the gap between Arabic and Latin scripted dialect” – Published in Language Resources and Evaluation, July 2024. Cited by 4 articles.

 

Conclusion:

Jabrane Mourad presents a strong case for the Best Researcher Award due to his solid academic background, notable research contributions in Big Data and machine learning, and diverse technical skills. His role as an adjunct professor and his extensive teaching experience further emphasize his ability to convey knowledge and contribute to the academic community. To enhance his candidacy, Mourad could focus on increasing the broader impact of his research through interdisciplinary collaborations and innovation. Overall, Mourad is a well-rounded candidate with the potential to make substantial contributions to the field, making him a suitable contender for the award.