Alesia Tietze | Medicinal Chemistry in Cancer | Innovative Research Award

Published on by Global Genetics Award

Innovative Research Award

Alesia Tietze
Affiliation Department of Chemistry and Molecular Biology
Country Sweden
Scopus ID 55193803000
Documents 40
Citations 784
h-index 17
Subject Area Medicinal Chemistry in Cancer
Event Global Genetics Awards
ORCID 0000-0002-9281-548X

Alesia Tietze
Department of Chemistry and Molecular Biology

Alesia Tietze is a researcher affiliated with the Department of Chemistry and Molecular Biology in Sweden, with a research profile identified in the supplied academic information as relating to medicinal chemistry in cancer. The profile is associated with 40 Scopus-indexed documents, 784 citations, and an h-index of 17. These bibliometric indicators provide a quantitative view of research visibility and scholarly impact, while the award assessment itself should be based on the complete research record and independently verified evidence. [3]

Abstract

The Innovative Research Award profile for Alesia Tietze documents a research career represented in the supplied data by an affiliation with the Department of Chemistry and Molecular Biology in Sweden and a subject area of medicinal chemistry in cancer. The associated Scopus record is reported as containing 40 documents, 784 citations, and an h-index of 17. [1] These metrics can be used as supporting indicators of scholarly activity and citation reach, but they do not independently establish the novelty, methodological quality, translational significance, or originality of individual research contributions. The researcher is also associated with an ORCID identifier, providing a persistent identifier for distinguishing the scholarly record. [2]

Keywords

Alesia Tietze; Innovative Research Award; medicinal chemistry; cancer research; chemistry and molecular biology; cancer therapeutics; molecular research; research impact; Scopus; ORCID; Genetics Awards.

Introduction

Medicinal chemistry occupies an interdisciplinary position between chemistry, molecular biology, pharmacology, and therapeutic development. Research in this area may involve the design, synthesis, characterization, optimization, and biological evaluation of compounds intended to address disease-associated molecular targets. In cancer research, medicinal chemistry can intersect with studies of molecular mechanisms, therapeutic targets, biomarkers, drug resistance, and precision-oriented treatment strategies.

Within this broad research environment, academic recognition generally requires consideration of both quantitative and qualitative evidence. Bibliometric indicators such as document counts, citation counts, and h-index values can provide useful measures of scholarly visibility, while publications, methodological contributions, collaborations, and demonstrable scientific outcomes provide additional context. The Genetics Awards program states that submitted research profiles may undergo screening, credential verification, cross-checking of submitted information, and committee review before selection. [3]

Research Profile

The supplied profile identifies Alesia Tietze with the Department of Chemistry and Molecular Biology in Sweden and assigns the subject area of medicinal chemistry in cancer. The reported Scopus information comprises 40 documents, 784 citations, and an h-index of 17. [1] Taken together, these values indicate a documented body of indexed scholarly output and citation activity.

The research profile should be interpreted in relation to the underlying publications rather than as a standalone ranking. Citation indicators can vary according to database coverage, publication type, disciplinary citation practices, author disambiguation, and the date on which the record is consulted. The ORCID identifier supplied for the researcher offers an additional mechanism for connecting scholarly outputs to a persistent researcher identity. [2]

Research Contributions

Based on the supplied subject classification, Tietze’s academic profile is situated within medicinal chemistry in cancer. This field encompasses research that connects chemical science with biological and therapeutic questions relevant to oncology. The precise contribution of an individual researcher should, however, be established from verified publications, research projects, patents, datasets, collaborations, and other primary scholarly evidence rather than inferred solely from a subject-area label.

For an award evaluation, relevant evidence may include the originality of research questions, rigor of experimental or computational methods, reproducibility, significance of findings, contribution to interdisciplinary research, and potential relevance to cancer biology or therapeutic development. The Genetics Awards program identifies research excellence and related scientific contributions among the areas considered within its award framework. [3]

Publications

The supplied Scopus record reports 40 documents associated with the researcher. [1] Because individual publication titles, journals, publication years, authorship positions, and DOI identifiers were not supplied in the source information for this profile, specific publications are not enumerated here. This avoids attributing research findings or bibliographic details that have not been independently established.

For formal award documentation, the publication record can be verified through the researcher’s Scopus author profile and persistent ORCID identifier. Where individual publications are evaluated, DOI metadata should be checked against the publisher or DOI registration record before being included in a nomination dossier.

Research Impact

The supplied bibliometric indicators provide a measurable representation of scholarly impact: 784 citations across 40 reported documents and an h-index of 17. [1] These indicators may support an assessment of sustained research visibility, but they should be interpreted alongside publication quality, contribution to the scientific literature, collaboration, methodological innovation, and the broader significance of the research.

In the context of cancer-focused medicinal chemistry, research impact may also be considered through the extent to which scientific findings contribute to understanding disease mechanisms, identifying therapeutic opportunities, improving molecular tools, or informing subsequent research. Such outcomes require evidence from the underlying scholarly record and should not be inferred solely from citation statistics.

Award Suitability

The supplied profile presents several elements relevant to consideration for an Innovative Research Award: a defined research affiliation, a subject-area focus in medicinal chemistry and cancer, an established indexed publication record, and measurable citation activity. The reported h-index of 17 and 784 citations may serve as supporting bibliometric evidence of scholarly reach. [1]

Final award suitability should remain dependent on the official evaluation process and verification of the nominee’s complete research record. The Genetics Awards program describes a process involving submission screening, verification of credentials, cross-checking of information, committee review, and subsequent selection. [3] Accordingly, the present article should be understood as an academic recognition profile based on the supplied information rather than as an independent declaration of award selection.

Conclusion

Alesia Tietze’s supplied academic profile represents a researcher associated with the Department of Chemistry and Molecular Biology in Sweden and with medicinal chemistry in cancer. The reported Scopus indicators of 40 documents, 784 citations, and an h-index of 17 provide quantitative evidence of an established scholarly record. [1] The associated ORCID identifier further supports persistent scholarly identification. [2]

For the purposes of the Innovative Research Award, these indicators constitute useful supporting evidence but should be considered together with the originality, rigor, significance, and documented outcomes of the researcher’s work. A complete assessment should rely on verified publications and other primary academic evidence in accordance with the award’s stated evaluation procedures. [3]

References

  1. Elsevier. (n.d.). Scopus author details: Alesia Tietze, Author ID 55193803000.

    Scopus.https://www.scopus.com/authid/detail.uri?authorId=55193803000

  2. ORCID. (n.d.). ORCID record: Alesia Tietze, ORCID iD 0000-0002-9281-548X.
    https://orcid.org/0000-0002-9281-548X

  3. Targeted sortase A inhibition by novel peptidomimetic antivirulents against staphylococcal infections

    https://pubmed.ncbi.nlm.nih.gov/41773879/

  4. DNA Scission by Non-Histidine Amino-Terminal Cu(II) and Ni(II) Binding-Like Peptides

    https://chemistry-europe.onlinelibrary.wiley.com/doi/10.1002/cbic.70397

Stephanie Tuminello | Genetic Epidemiology | Innovative Research Award

Published on by Global Genetics Award

 

Innovative Research Award

Stephanie Tuminello
Icahn School of Medicine at Mount Sinai

Stephanie Tuminello
Affiliation Icahn School of Medicine at Mount Sinai
Country United States
Scopus ID 57193871243
Documents 60
Citations 1,069
h-index 15
Subject Area Genetic Epidemiology
Event Global Genetics Awards

Stephanie Tuminello is affiliated with the Icahn School of Medicine at Mount Sinai, where her scholarly work contributes to the advancement of genetic epidemiology and related biomedical research. Her publication record, citation performance, and sustained research activity demonstrate continued engagement in understanding genetic determinants of disease, epidemiological methodologies, and translational biomedical science. Bibliometric indicators from Scopus show a substantial scholarly contribution supported by peer-reviewed publications and academic citations, reflecting the influence of her research within the international scientific community.[1]

Abstract

Stephanie Tuminello’s research portfolio focuses on genetic epidemiology through the integration of population-based investigation, molecular genetics, and clinical data analysis. Her scientific work contributes to understanding disease susceptibility, inherited genetic variation, and risk prediction using evidence-based epidemiological methodologies. The body of published literature demonstrates interdisciplinary collaboration and continued scientific productivity across multiple areas of biomedical research.[1]

Keywords

Genetic Epidemiology; Population Genetics; Human Genetics; Disease Susceptibility; Precision Medicine; Genomic Medicine; Epidemiological Research; Translational Medicine.

Introduction

Genetic epidemiology combines principles from genetics, epidemiology, and biostatistics to evaluate inherited and environmental influences on disease occurrence. Researchers working within this discipline investigate genetic risk factors, gene-environment interactions, and population-level disease patterns to improve healthcare outcomes. Stephanie Tuminello’s scholarly activities align with these objectives through peer-reviewed research that contributes to the broader understanding of genetic determinants of human health.[2]

Research Profile

According to publicly available bibliometric information, Stephanie Tuminello has authored 60 indexed publications that have collectively received more than one thousand citations, resulting in an h-index of 15. These indicators suggest sustained scholarly productivity and measurable research influence within biomedical sciences and genetic epidemiology.[1]

  • Affiliation: Icahn School of Medicine at Mount Sinai
  • Primary discipline: Genetic Epidemiology
  • Scopus-indexed publications: 60
  • Scopus citations: 1,069
  • Scopus h-index: 15

Research Contributions

The available publication record indicates contributions involving genetic risk assessment, epidemiological analysis, disease association studies, clinical research methodologies, and collaborative biomedical investigations. Such work supports improved understanding of disease mechanisms and facilitates evidence generation for future precision medicine initiatives.[1][3]

  • Population-based genetic investigations.
  • Clinical and translational epidemiological research.
  • Genetic susceptibility and disease association studies.
  • Interdisciplinary collaboration across biomedical sciences.

Publications

The author’s publication portfolio consists of peer-reviewed journal articles indexed by major scholarly databases. These publications collectively address topics within genetics, epidemiology, biomedical science, and translational research, demonstrating continued scientific productivity over multiple years.[1]

  • Research articles indexed in Scopus.
  • Collaborative multidisciplinary publications.
  • Biomedical and genetic epidemiology studies.

Research Impact

Bibliometric evidence indicates measurable academic influence through citations, publication output, and scholarly visibility. Citation metrics suggest that the published work has contributed to ongoing scientific discussions and has been referenced by researchers working in related biomedical disciplines. Such indicators are commonly employed in evaluating scientific productivity and research influence.[1]

Award Suitability

Stephanie Tuminello demonstrates characteristics generally considered during evaluation for an Innovative Research Award, including sustained publication activity, measurable citation impact, interdisciplinary collaboration, and contributions to genetic epidemiology. Recognition within an academic awards program would appropriately acknowledge continued scientific engagement while reflecting objective scholarly indicators rather than subjective assessments of scientific merit alone.[1]

Conclusion

Stephanie Tuminello has established an active academic profile through contributions to genetic epidemiology, peer-reviewed publications, and collaborative biomedical research. Publicly available bibliometric indicators demonstrate sustained scholarly productivity and research visibility, supporting recognition within academic and professional award programs dedicated to scientific excellence and innovation.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Stephanie Tuminello, Author ID 57193871243.
    Scopus.https://www.scopus.com/authid/detail.uri?authorId=57193871243
  2. Disparities in COVID-19 testing and positivity in New York City
    https://www.sciencedirect.com/science/article/pii/S0749379720302634
  3. Lkb1 inactivation drives lung cancer lineage switching governed by Polycomb Repressive Complex 2
    https://www.nature.com/articles/ncomms14922
  4. Male sex, severe obesity, older age, and chronic kidney disease are associated with COVID-19 severity and mortality in New York City
    https://journal.chestnet.org/article/S0012-3692(20)34288-4/fulltext
  5. The impact of asthma on mortality in patients with COVID-19
    https://journal.chestnet.org/article/S0012-3692(20)31645-7/fulltext

 

 Andrea Manica | Population genetics software | Innovative Research Award

Published on by Global Genetics Award

Innovative Research Award

Andrea Manica
Affiliation University of Cambridge
Country United Kingdom
Scopus ID 6603416293
Documents 187
Citations 17,182
h-index 67
Subject Area Population genetics software
Event Global Genetics Awards
ORCID 0000-0003-1895-450X

 Andrea Manica

University of Cambridge, United Kingdom

The Innovative Research Award recognizes sustained scholarly excellence and significant contributions to scientific advancement. Andrea Manica, a researcher at the University of Cambridge, has established an internationally recognized research profile in evolutionary biology, population genetics, human migration, ecological modelling, and computational approaches to biodiversity research. His scholarly publications, extensive citation record, and interdisciplinary collaborations demonstrate continued influence across genetics and evolutionary sciences.[1]

Abstract

Andrea Manica’s research integrates population genetics, ecology, anthropology, computational biology, and evolutionary theory to investigate biological diversity and human evolutionary history. His work combines large-scale genomic datasets, ecological modelling, and statistical methods to improve understanding of species distributions, migration processes, adaptation, and conservation. His scholarly achievements have resulted in a substantial international research profile with extensive citations and broad interdisciplinary impact.[1][2]

Keywords

Population genetics, evolutionary biology, ecological modelling, biodiversity, human migration, computational biology, conservation genetics, statistical ecology, genomics, species distribution modelling.

Introduction

Modern genetics increasingly relies upon interdisciplinary analytical approaches capable of integrating molecular, ecological, and computational evidence. Andrea Manica’s research exemplifies this trend by combining quantitative analysis with evolutionary theory to address questions concerning biodiversity, adaptation, and demographic history. His work has contributed to both methodological development and biological discovery while supporting evidence-based conservation research.[2]

Research Profile

Andrea Manica is affiliated with the University of Cambridge and maintains an internationally visible publication record indexed in Scopus. His documented scholarly metrics include 187 indexed publications, over 17,000 citations, and an h-index of 67, reflecting consistent scientific influence across multiple research disciplines.[1]

  • Population genetics and demographic inference.
  • Human evolutionary history.
  • Ecological and environmental modelling.
  • Biodiversity and conservation science.
  • Statistical and computational biology.

Research Contributions

His investigations have improved scientific understanding of how evolutionary processes, environmental factors, and migration shape genetic diversity. By integrating computational simulations with empirical observations, his studies have informed research concerning adaptation, population structure, climate influences, and conservation planning.[2][3]

  • Development of computational approaches for population genetics.
  • Analysis of human migration and demographic history.
  • Research supporting biodiversity conservation.
  • Integration of ecological and genomic datasets.
  • Interdisciplinary collaboration across genetics and ecology.

Publications

Andrea Manica has authored numerous peer-reviewed publications appearing in internationally recognized scientific journals. His research articles are frequently cited within genetics, ecology, anthropology, conservation biology, and evolutionary science, reflecting sustained scholarly relevance.[1]

  • Population genetic analyses.
  • Evolutionary modelling studies.
  • Human demographic history research.
  • Biodiversity conservation publications.

Research Impact

The documented citation metrics indicate extensive international recognition of Andrea Manica’s scholarly work. His publications continue to support research across genetics, ecology, anthropology, and environmental sciences while influencing computational methodologies and conservation strategies. The breadth of citations reflects continued relevance across diverse scientific communities.[1]

Award Suitability

Based on publicly available scholarly indicators, Andrea Manica demonstrates characteristics consistent with recognition through an Innovative Research Award. These include a sustained publication record, internationally recognized citation impact, interdisciplinary scientific contributions, methodological innovation, and continued advancement of population genetics and evolutionary biology research. Such accomplishments align with common evaluation criteria used in academic recognition programs.[1]

Conclusion

Andrea Manica’s scholarly career reflects substantial contributions to population genetics, computational biology, biodiversity research, and evolutionary science. Through interdisciplinary collaboration and quantitative innovation, his work has strengthened scientific understanding of biological diversity and evolutionary processes. His documented academic achievements support recognition within international research award programs dedicated to scientific excellence and innovation.[2]

References

    1. Elsevier. (n.d.). Scopus author details: Andrea Manica, Author ID 6603416293. Scopus.https://www.scopus.com/authid/detail.uri?authorId=6603416293
    2. ORCID. (n.d.). Andrea Manica
      ORCID Profile.      https://orcid.org/0000-0003-1895-450X
    3. Manica, A., et al. Representative research publication. Nature.
      DOI:
      https://doi.org/10.1038/nature06258
    4. Elsevier. (n.d.). Google scholar details: Andrea Manica.
      Google scholar. https://scholar.google.com/citations?user=v8V058QAAAAJ&hl=en
    5. An African origin for the intimate association between humans and Helicobacter pylori
       https://www.nature.com/articles/nature05562

Abdul Karim Khalid | Host Genetics | Best Paper Award

Published on by Global Genetics Award

Mr. Abdul Karim Khalid | Host Genetics | Best Paper Award

Huazhong Agricultural University | China

Abdul Karim Khalid is a veterinary researcher specializing in preventive veterinary medicine, microbial pathogenesis, and host–microbe interactions, currently based in Wuhan, China. He earned his Master’s degree in Preventive Veterinary Medicine from Huazhong Agricultural University with a strong academic record, where his thesis focused on elucidating the role of the secreted protein MbovP537 as a virulence factor and diagnostic antigen in Mycoplasma bovis pathogenesis. His research integrates molecular microbiology, immunology, and translational One Health approaches, encompassing gene cloning, protein expression, mammalian cell culture, and advanced immunological assays. Abdul has contributed to multiple high-impact peer-reviewed publications in journals such as Veterinary Microbiology, eLife, Cells, and Frontiers in Immunology. He also holds a Doctor of Veterinary Medicine degree from Gomal University, Pakistan, and brings valuable clinical experience alongside strong bioinformatics and statistical analysis skills.

Citation Metrics (Scopus)

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Liu Changlai | Genetic Variation | Excellence Award (Any Scientific field)

Published on by Global Genetics Award

Prof. Liu Changlai | Genetic Variation | Excellence Award 

Nanjing Forestry University | China

Prof. Liu Changlai is a graduate supervisor at Nanjing Forestry University and a distinguished scholar in plant molecular biology and bamboo science. His research centers on the regulation and applied processing of secondary metabolites in bamboo, alongside bamboo population genetics and functional gene development, integrating genomics, transcriptomics, and physiological approaches. Professor Liu has made significant contributions to understanding photosynthesis regulation, stress responses, and transcription factor families across bamboo and other plant species, with impactful studies published in leading journals such as Plants, Industrial Crops and Products, Forests, and Frontiers in Molecular Biosciences. His work spans fundamental gene identification to applied innovations, including medical bamboo product processing and stress-resilient crop improvement. Through sustained, high-quality research output and mentorship, Professor Liu continues to advance plant functional genomics and the sustainable utilization of bamboo resources.

Citation Metrics (Scopus)

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Featured Publications

Helala AlShehri | Cancer Genetics | Research Excellence Award

Published on by Global Genetics Award

Assist. Prof. Dr. Helala AlShehri | Cancer Genetics | Research Excellence Award

Jubail Industrial College | Saudi Arabia

Assist. Prof. Dr. Helala Mohammad AlShehri is an Assistant Professor of Computer Science and Deputy for Planning and Development at Jubail Industrial College, Saudi Arabia. She earned her PhD in Computer Science from King Saud University and brings together strong academic leadership with advanced research expertise in artificial intelligence and deep learning. Dr. AlShehri has held several senior administrative roles, including department chair and head of student and academic affairs, contributing significantly to institutional planning, quality assurance, and academic accreditation. Her research focuses on AI-driven medical image analysis, particularly histopathological image classification for cancer diagnosis, explainable AI, and computer-aided decision support. She has published nine peer-reviewed articles in SCI- and Scopus-indexed journals, with over 140 citations. Dr. AlShehri actively collaborates with national and international researchers and serves as a peer reviewer for leading AI and medical imaging journals.

Citation Metrics (Scopus)

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Jacob Raber | Cancer Genetics | Research Excellence Award

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Prof. Jacob Raber | Cancer Genetics | Research Excellence Award

OHSU | United States

Prof. Jacob Raber, Ph.D., is a distinguished Professor with interdisciplinary expertise spanning Behavioral Neuroscience, Neurology, Psychiatry, and Radiation Medicine. He serves as an Affiliated Scientist in the Division of Neuroscience at the Oregon National Primate Research Center (ONPRC), Oregon Health & Science University (OHSU), and holds a courtesy appointment as Professor of Pharmaceutical Sciences at Oregon State University. Dr. Raber earned his BSc in Chemistry and MSc in Pharmacochemistry from the Free University of Amsterdam, where his early research focused on β2-adrenergic receptor desensitization, complemented by training in immunochemistry and Yiddish language and literature. He completed his Ph.D. in Molecular Genetics and Virology at the Weizmann Institute of Science in Israel, investigating interferon-regulated pathways under the mentorship of Dr. Michel Revel. His work integrates molecular genetics with translational neuroscience to advance understanding of brain function and disease.

Citation Metrics (Scopus)

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Featured Publications

Dong MA | Epigenetics | Research Excellence Award

Published on by Global Genetics Award

Prof. Dong MA | Epigenetics | Research Excellence Award

Hebei Medical University | China

Prof. DONG MA, Ph.D., is a Professor and doctoral supervisor in the Department of Biochemistry and Molecular Biology at Hebei Medical University, where he conducts influential research in cardiovascular biology within the Key Laboratory of Neural and Vascular Biology, Ministry of Education, in Shijiazhuang, China. A Young Fellow of the American Heart Association (AHA), he serves as the principal investigator for three National Natural Science Foundation of China (NSFC)-funded projects, underscoring his leadership and innovation in cardiovascular research. Dr. Ma has published more than 20 high-impact papers in renowned international journals such as Circulation Research, PLOS Biology, Advanced Science, Cardiovascular Research, Redox Biology, and Frontiers in Cardiovascular Medicine.

Profiles: Scopus

Featured Publications

"Inhibition of CDK5 signaling mediated inflammation in macrophages promotes cutaneous wound healing", Prof. Dong MA., 2025

"A STAT1-GBP3-STING positive feedback loop governs inflammation, oxidative stress, and DNA damage to trigger acute aortic dissection", Prof. Dong MA., 2025

"Short-term Prognosis of Acute Stanford A Aortic Dissection in Young and Middle-aged Patients Treated with a Hybrid Surgery Versus Sun's Procedure", Prof. Dong MA., 2025

"The Impact of the Monocyte-to-High-Density Lipoprotein Cholesterol Ratio on the Prognosis of Patients with Non-Viral,Non-Alcoholic Hepatocellular Carcinoma:a Retrospective Cohort Study",Prof. Dong MA., 2025

Changcai Teng | Molecular genetics | Research Excellence Award

Published on by Global Genetics Award

Prof. Dr. Changcai Teng | Molecular genetics | Research Excellence Award

Academy of Agriculture and Forestry, Qinghai university | China

Prof. Dr. Changcai Teng, born on 27 May 1982, is a Chinese crop genetics and breeding specialist currently serving as a Faba Bean Breeder at the Qinghai Academy of Agriculture and Forestry Science and Qinghai University’s Academy of Agriculture and Forestry. He holds a PhD (2018) and MSc (2009) in crop genetics and breeding, as well as a postgraduate qualification in forestry science (2004), all from Qinghai University in Xining, China. With professional experience spanning roles at the Agricultural Technology Promotion Center in Gonghe County and the Sino-Canada joint venture Jason Group Corporation Luyuan Ecology Co., Ltd, his research has focused on the genetics and breeding of Spring Brassica napus, potato, and faba bean. Proficient in Chinese and English, he is based in Xining, Qinghai Province.

Profiles: Scopus 

Featured Publications

"Genome-wide identification of the MADS-box gene family and their role in the formation of faba bean (Vicia faba L.) growth habits", Prof. Dr. Changcai Teng., 2025

Nasrin Samadyar | Cancer Genetics | Research Excellence Award

Published on by Global Genetics Award

Dr. Nasrin Samadyar | Cancer Genetics | Research Excellence Award

Kermanshah University of Technology, Kermanshah | Iran

Dr. Nasrin Samadyar, born on 17 June 1989 in Karaj, Alborz Province, Iran, is an Iranian applied mathematician specializing in numerical analysis, stochastic differential equations, and meshfree computational methods. She earned her BSc in Applied Mathematics from Kharazmi University, followed by an MSc from Amirkabir University of Technology and a PhD in Applied Mathematics (Numerical Analysis) from Malayer University, where her doctoral research focused on meshfree radial basis function methods for solving stochastic integral equations. She later completed a postdoctoral fellowship in Mathematics at Alzahra University, concentrating on numerical solutions of stochastic differential and partial differential equations. A dedicated educator, she has taught courses such as Numerical Analysis, Linear Optimization, Calculus, and Numerical Linear Algebra. Samadyar has authored numerous high-impact journal publications spanning stochastic integral equations, fractional models, operational matrix methods, wavelet techniques, and meshless approaches, contributing significantly to computational mathematics. She also serves as a reviewer for leading international journals, including the International Journal of Biomathematics, Journal of Computational and Applied Mathematics, Applied Mathematics and Computation, and Soft Computing. A member of Iran's National Elites Foundation, she has supervised graduate research on numerical and stochastic equation-solving techniques and participated in advanced mathematical projects, including implicit meshless methods for fractional stochastic Tricomi-type equations. Proficient in MATLAB, MAPLE, MATHEMATICA, LaTeX, and C++, Samadyar continues to advance research in applied and stochastic mathematics through rigorous analysis, innovative numerical schemes, and interdisciplinary applications.

Profiles: Scopus | Google Scholar

Featured Publications

"A new scheme for solving nonlinear Stratonovich Volterra integral equations via Bernoulli’s approximation, Appl", F. Mirzaee, N. Samadyar, S.F. Hosseini., 2025

"Euler polynomial solutions of nonlinear stochastic Ito-Volterra integral equations, J. Comput. Appl",F. Mirzaee, N. Samadyar, S.F. Hosseini., 2025

"Application of orthonormal Bernstein polynomials to construct a efficient scheme for solving fractional stochastic integro-differential equation, Optik Int. J. Light Electron Opt", F. Mirzaee, N. Samadyar., 2025

"Numerical solution of nonlinear stochastic Ito-Volterra integral equations driven by fractional Brownian motion, Math. Meth. Appl",F. Mirzaee, N. Samadyar., 2025