John Byrnes | Biochemistry, Genetics and Molecular Biology | Best Paper Award

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Best Paper Award

Selective Inhibition of Proofreading Exonucleases The Central Role in Obesity Assoviated Carciniogenesis
John Byrnes
Affiliation University of Miami
Country United States
Article Title Selective Inhibition of Proofreading Exonucleases The Central Role in Obesity Assoviated Carciniogenesis
Google Scholar ID 1kizaHgAAAAJ&hl
Article Type Research Article
Article Views 870
Reference Count 88
Award Category Best Paper Award
Event International Research Excellence and Best Paper Awards
ORCID 0000-0003-0940-9710

The Best Paper Award recognizes the scholarly contribution of John Byrnes of the University of Miami for research examining the relationship between proofreading exonucleases and obesity-associated carcinogenesis. Published in MDPI during 2026, the study contributes to ongoing discussions in biochemistry, genetics, and molecular biology regarding genomic integrity, cancer development, and molecular mechanisms associated with metabolic disorders. The award acknowledges the scientific significance, methodological rigor, and interdisciplinary relevance of the publication within contemporary biomedical research.[1]

Abstract

This award-recognized research investigates the potential role of proofreading exonucleases in mechanisms associated with obesity-related carcinogenesis. The study explores how alterations in DNA replication fidelity, repair pathways, and genomic maintenance may contribute to cellular transformation under metabolic stress conditions. Through molecular and biochemical analyses, the research evaluates the consequences of selective exonuclease inhibition and its implications for tumor development. Findings provide insights into interactions between obesity-associated biological environments and genomic instability. The work advances understanding of cancer biology while identifying potential molecular targets for future therapeutic development and translational biomedical investigations.[2]

Keywords

AMP; AMPK; carcinogenesis; DNA polymerase; fidelity; energy regulation; metabolism; mutation; obesity; proofreading exonuclease.

Introduction

The increasing prevalence of obesity has intensified scientific interest in understanding its relationship with cancer risk and progression. Researchers have identified multiple biological pathways linking metabolic dysregulation to genomic instability. This study focuses on proofreading exonucleases, enzymes responsible for maintaining DNA replication accuracy, and evaluates their relevance within obesity-associated carcinogenic processes that may influence disease initiation and progression.[2]

Research Profile

John Byrnes is affiliated with the University of Miami and has established a research portfolio within biochemistry, genetics, and molecular biology. With 138 indexed scholarly documents, 8,573 citations, and an h-index of 39, his academic contributions demonstrate sustained engagement in molecular mechanisms underlying human disease, cancer development, and genomic maintenance processes across diverse biomedical research domains.[3]

Scientific Background

Proofreading exonucleases play a critical role in correcting replication errors and preserving genome integrity. Deficiencies in these enzymatic systems can result in elevated mutation rates and increased susceptibility to malignant transformation. Previous investigations have linked obesity-related inflammation, oxidative stress, and metabolic disturbances with DNA damage, creating a scientific basis for examining interactions between exonuclease activity and carcinogenic pathways.[4]

Methodology

The research applies molecular biology and biochemical methodologies to investigate the consequences of selective proofreading exonuclease inhibition. Experimental analyses assess cellular responses, genomic integrity markers, and mechanisms associated with DNA repair regulation. By integrating laboratory observations with established cancer biology frameworks, the study evaluates how altered proofreading functions may contribute to carcinogenic processes under obesity-associated physiological conditions.[2]

Key Findings

The study identifies significant relationships between proofreading exonuclease activity and mechanisms that influence genomic stability. Results indicate that disruptions in proofreading functions may enhance mutation accumulation and contribute to cellular environments favorable to carcinogenesis. The findings support the hypothesis that obesity-associated biological stressors can interact with genomic maintenance pathways, potentially increasing cancer susceptibility through complex molecular mechanisms.[2]

Scientific Contributions

This research contributes to the growing body of knowledge connecting metabolic disease and cancer biology. By highlighting proofreading exonucleases as important molecular components within obesity-associated carcinogenesis, the study offers a framework for future investigations into diagnostic biomarkers and therapeutic interventions. The work also strengthens interdisciplinary connections between molecular genetics, oncology, and translational biomedical science.[4]

Conclusion

The Best Paper Award recognizes a publication that advances understanding of molecular mechanisms underlying obesity-associated cancer development. Through examination of proofreading exonucleases and genomic stability pathways, the research provides valuable scientific insights with potential relevance to future therapeutic strategies. Its contribution to contemporary biomedical literature reflects both methodological rigor and significance within the broader field of molecular oncology.[5]

References

  1. MDPI. (2026). Selective Inhibition of Proofreading Exonucleases The Central Role in Obesity Assoviated Carciniogenesis.
    https://www.mdpi.com/1467-3045/48/4/346
  2. DOI Reference. Cell Biochemistry and Function, Volume 48, Issue 4.
    https://doi.org/10.3390/cimb48040346
  3. Google Scholar. (n.d.). John Byrnes Author Profile.
    https://scholar.google.com/citations?user=1kizaHgAAAAJ&hl=en&oi=sra
  4. MDPI. (2026). Journal Information and Publication Metadata.
    https://www.mdpi.com/
  5. International Research Excellence and Best Paper Awards. (2026). Best Paper Award Recognition Program.
    https://bestpaperawards.com/

Kayoomars Karami | Physics and Astronomy | Best Researcher Award

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Best Researcher Award

Kayoomars Karami
University of Kurdistan

Kayoomars Karami
Affiliation University of Kurdistan
Country Iran
Scopus ID 22979495000
Documents 108
Citations 2,427
h-index 31
Subject Area Physics and Astronomy
Event International Research Excellence and Best Paper Awards
ORCID 0000-0003-0008-0090

The Best Researcher Award recognizes sustained scholarly achievement, research productivity, and scientific influence demonstrated through peer-reviewed publications, citations, and contributions to the advancement of knowledge. Kayoomars Karami of the University of Kurdistan has established a significant academic profile within Physics and Astronomy through extensive publication activity and measurable research impact. His scholarly record reflects continued engagement with theoretical and applied investigations that contribute to contemporary scientific discourse and international research development.[1]

Abstract

This article presents an academic overview of Kayoomars Karami and his suitability for recognition through the Best Researcher Award. Affiliated with the University of Kurdistan, Karami has developed a notable scholarly portfolio in Physics and Astronomy characterized by extensive publication output, substantial citation performance, and a strong h-index. His research activities have contributed to the advancement of theoretical understanding within key scientific domains while supporting international academic collaboration. The combination of documented productivity, measurable influence, and sustained research engagement demonstrates qualities commonly associated with distinguished scholarly achievement and research excellence in the contemporary scientific community.[1][2]

Keywords

Best Researcher Award, Kayoomars Karami, Physics and Astronomy, University of Kurdistan, Scientific Impact, Citation Analysis, Research Excellence, Scopus Author Profile, Scholarly Contributions, Academic Recognition.

Introduction

Recognition through academic awards often reflects a combination of research productivity, scientific influence, publication quality, and contributions to knowledge advancement. Researchers operating within highly specialized scientific disciplines are evaluated according to objective indicators such as citation records, publication volume, and scholarly visibility. Kayoomars Karami’s academic career demonstrates these characteristics through a substantial body of research and recognized contributions within Physics and Astronomy, supporting consideration for prestigious research distinctions.[1]

Research Profile

Kayoomars Karami is affiliated with the University of Kurdistan and has established a recognized research profile in Physics and Astronomy. His Scopus author record indicates extensive publication activity supported by a substantial citation count and a strong h-index. These indicators suggest sustained scholarly engagement and consistent contributions to scientific literature over an extended academic period. The breadth of documented work reflects active participation in advancing theoretical and analytical research within his field.[1]

Research Contributions

Karami’s research contributions are associated with theoretical investigations that support understanding of complex physical phenomena and cosmological frameworks. His scholarly work has contributed to ongoing discussions within astrophysics, gravitational theory, and related scientific disciplines. Through peer-reviewed publications, he has participated in the development of models, analytical interpretations, and theoretical perspectives that assist researchers in addressing fundamental scientific questions and evaluating emerging concepts in modern physics.[2][3]

Publications

The publication record associated with the researcher demonstrates a sustained commitment to scientific communication and peer-reviewed scholarship. With more than one hundred indexed documents, the body of work reflects consistency in research dissemination and engagement with internationally recognized journals. The publication portfolio contributes to knowledge generation and supports scholarly dialogue across multiple areas of Physics and Astronomy.[1]

  • Peer-reviewed journal articles.
  • Theoretical and analytical physics studies.
  • Collaborative international research publications.
  • High-impact scholarly contributions.

Research Impact

Research impact can be evaluated through citations, scholarly influence, and visibility within academic literature. The documented citation record associated with Karami indicates that his work has been referenced extensively by researchers working in related scientific domains. Such citation performance reflects relevance, accessibility, and contribution to ongoing investigations. Combined with a notable h-index, these indicators suggest meaningful influence on contemporary research activities and scientific knowledge development.[1][4]

Award Suitability

Evaluation for the Best Researcher Award typically considers research productivity, citation impact, publication quality, academic leadership, and contributions to scientific advancement. The available scholarly indicators associated with Kayoomars Karami demonstrate alignment with these evaluation criteria. His publication record, citation performance, recognized author profile, and sustained research activity collectively support suitability for recognition within the International Research Excellence and Best Paper Awards framework.[1][5]

Conclusion

Kayoomars Karami’s scholarly achievements reflect a productive and influential academic career within Physics and Astronomy. His extensive publication record, strong citation metrics, and measurable research impact demonstrate sustained commitment to scientific inquiry and knowledge advancement. These accomplishments provide a strong foundation for consideration under the Best Researcher Award and illustrate the significance of his contributions to contemporary scientific research and academic excellence.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Kayoomars Karami, Author ID 22979495000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=22979495000
  2. Hana Heidarian, Milad Solbi, Soma Heydari, Kayoomars Karami (2025), M. α-attractor inflation modified by GUP in light of ACT observations.
    https://doi.org/10.1016/j.physletb.2025.139833
  3. Journal of Cosmology and Astroparticle Physics. Primordial black holes in SB SUSY Gauss-Bonnet inflation.
    https://doi.org/10.1088/1475-7516/2025/01/025
  4. Springer. (2024). Primordial black holes in non-minimal Gauss–Bonnet inflation in light of the PTA data.
    https://doi.org/10.1140/epjc/s10052-024-13271-x
  5. International Research Excellence and Best Paper Awards. (n.d.). Award evaluation framework and recognition criteria.
    https://bestpaperawards.com/

M M Abdullah Al Mamun Sony | Social Sciences | Best Researcher Award | 10112

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Mr. M M Abdullah Al Mamun Sony | Social Sciences | Best Researcher Award

Research Associate | ChangeMaker Nexus Ltd | Bangladesh

Mr. M.M. Abdullah Al Mamun Sony is an accomplished researcher and academic specializing in sociology, disaster management, gender studies, and social-environmental research. He is currently pursuing a Ph.D. at the University of Debrecen, Hungary, at the Géza Marton Doctoral School of Legal Studies with an outstanding grade of 4.98/5.00, reflecting his strong academic capabilities and commitment to research excellence. Sony holds a Master of Social Science in Sociology from Khulna University, Bangladesh, where he specialized in disaster management, gender policy, and sociological research methods, and a Bachelor of Social Science (Honours) in Sociology, also from Khulna University, demonstrating a solid academic foundation. His professional experience spans several significant roles, including Locally-led Action Research Consultant for the Bangladesh Preparedness Partnership, DOSZ Ambassador of Bangladesh fostering scientific collaboration with Hungary, and research associate and consultant for multiple social science and disaster management projects funded by Khulna University Research Cell, UGC Bangladesh, and international agencies. His research interests encompass social-environmental risk assessment, disaster coping mechanisms, gender-based studies, education quality, and labor market inclusion. Sony has developed strong research skills in quantitative and qualitative methods, including SPSS, NVivo, Atlas.ti, EndNote, and advanced data collection, analysis, and reporting techniques. He has an impressive publication record in Q1 and SSCI-indexed journals such as Social Sciences & Humanities Open, Sustainability, and the International Journal of Disaster Risk Reduction, with 22 citations, 7 documents, and an H-index of 3. Sony has received multiple awards and honors, including the Stipendium Hungaricum PhD Fellowship, Bangladesh Sweden Trust Fund travel grant, Best Leadership Award, Best Youth Icon Award, and recognition for outstanding presentations at international conferences. With his academic excellence, extensive research experience, international collaborations, leadership roles, and community engagement, Mr. M.M. Abdullah Al Mamun Sony demonstrates exceptional potential to contribute significantly to global social science research, making him a highly deserving candidate for recognition and awards in the field.

Profiles: Google Scholar | Scopus | ORCID | LinkedIn | ResearchGate

Featured Publications

  1. Yu, X., Amin, M. B., Olga, P., Rahaman, M. A., & Sony, M. M. A. A. M. (2024). Gender-based emergency response and crisis management knowledge assessment: A cross-sectional study on Chinese tertiary student. International Journal of Disaster Risk Reduction, 112, 104800. [Citations: 18]

  2. Mollah, M. A., Rana, M., Amin, M. B., Sony, M. M. A. A. M., Rahaman, M. A., & Fenyves, V. (2024). Examining the role of AI-augmented HRM for sustainable performance: Key determinants for digital culture and organizational strategy. Sustainability, 16(24), 10843. [Citations: 15]

  3. Roy, T., Chandra, D., Sony, M. M. A. A. M., & Rahman, M. S. (2021). Impact of salinity intrusion on health of coastal people: Reflections from Dacope upazila of Khulna district, Bangladesh. Khulna University Studies, 17(1 & 2), 57-66. [Citations: 14]

  4. Roy, T., Nasreen, M., Hasan, M. K., & Sony, M. M. A. A. M. (2023). Community priorities in disaster risk reduction interventions: A critical perspective from Bangladesh. In Coastal disaster risk management in Bangladesh (pp. 335-355). [Citations: 8]

  5. Hasan, M. K., & Sony, M. M. A. A. M. (2023). Covid-19, social change, and society 5.0. In The Palgrave Handbook of Global Social Change (pp. 1-19). [Citations: 8]

Sarvesh Tanwar | Computer Science | Excellence in Research Award

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Prof. Dr. Sarvesh Tanwar | Computer Science | Excellence in Research Award

Professor | Amity University | India

Dr. Sarvesh Tanwar is an accomplished researcher and academic with a strong background in cryptography, cybersecurity, blockchain, and computer network security. She earned her Ph.D. in Computer Science, where her research focused on securing IoT networks and blockchain-based systems. Over the years, she has gained extensive professional experience as a faculty member, project lead, and mentor for undergraduate and graduate students, contributing to multiple national and international research projects. Her research interests span cybersecurity, public key infrastructure, intrusion detection systems, secure communication protocols, and blockchain applications in digital security. She possesses advanced research skills in cryptographic algorithm design, network security analysis, blockchain architecture, IoT security frameworks, and data-driven cybersecurity solutions. Dr. Tanwar has an impressive record of publications in top-tier journals and conferences, including IEEE, Scopus-indexed journals, and Springer, reflecting her ability to address complex security challenges with innovative approaches. Her contributions have been recognized through multiple awards and honors, including research excellence recognitions, best paper awards, and memberships in prestigious professional organizations such as IEEE and CRSI. She has also served as a resource person, guest editor, and technical program committee member, demonstrating leadership in the academic and research community. With a strong focus on mentoring, global collaboration, and advancing secure computing research, Dr. Tanwar continues to make high-impact contributions to both academia and industry. Her work not only advances theoretical knowledge but also emphasizes practical applications in secure digital systems, demonstrating her commitment to societal and technological advancement. Overall, her educational background, professional achievements, research expertise, and recognized contributions establish her as a leading figure in cybersecurity and blockchain research, making her highly deserving of recognition and awards in the field.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Tanwar, S., & Bojarajulu, B. (2023). Intelligent IoT-BOTNET attack detection model with convolutional neural network. Computers, Materials & Continua, 70(2), 2077–2093.Citations: 44

  2. Tanwar, S., Choudhary, V., Choudhury, T., & Kotecha, K. (2024). Towards secure IoT networks: A comprehensive study of metaheuristic algorithms in conjunction with CNN using a self-generated dataset. Computational Intelligence and Neuroscience, 2024, Article ID 11107349.Citations: 11

  3. Tanwar, S., & Kumar, K. (2024). Deep-learning-based cryptanalysis through topic modeling. Engineering, Technology & Applied Science Research, 14(1), 12524–12529.Citations: 4

  4. Tanwar, S., & Kumar, K. (2024). MAN-C: A masked autoencoder neural cryptography based encryption scheme for CT scan images. Engineering, Technology & Applied Science Research, 14(1), 12524–12529.Citations: 4

  5. Tanwar, S., & Kumar, K. (2024). Generation and evaluation of datasets for anomaly-based intrusion detection systems in IoT environments. Engineering, Technology & Applied Science Research, 14(1), 12524–12529.Citations: 4

Mr. MD Shadman Soumik | Computer Science | Best Researcher Award

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Mr. MD Shadman Soumik | Computer Science | Best Researcher Award

Graduate Student | Washington University of Science & Technology | United States

MD Shadman Soumik is a dedicated IT Support and Data Security professional and researcher with extensive expertise in cybersecurity, data analytics, cloud computing, and enterprise IT systems, combining practical experience with innovative research contributions. He earned his Master of Science in Information Technology from Washington University of Science and Technology, Virginia (2025) and a Bachelor of Science in Electrical and Electronic Engineering from North South University, Bangladesh (2017), establishing a strong academic foundation for both technical and analytical proficiency. Over his career, he has worked with organizations including Reliable Home Care Services Corp, Frontier Semiconductor Bangladesh Ltd, and Poran Agro Products Ltd, where he provided comprehensive IT support, implemented cybersecurity protocols, conducted security audits, managed secure data integration, and optimized IT operations to ensure operational efficiency and data protection. His research interests encompass artificial intelligence applications in cybersecurity, network intrusion detection, secure and usable system design, early disease diagnosis using healthcare data, and AI-based financial market prediction. Soumik’s research skills include machine learning, neural networks, cybersecurity operations, database management, cloud computing, data analysis, technical writing, and project management, allowing him to bridge applied IT work and academic research effectively. He has contributed to high-impact publications in journals and conferences such as IEEE ICDSIS, International Journal of Computer Applications (IJCA), International Journal of Scientific Research and Applications (IJSRA), and International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), and he actively participates in professional organizations including the International Society for Data Science and Analytics (USA) and the Institute of Engineers, Bangladesh. His achievements have been recognized through research awards and professional honors that highlight his contributions to cybersecurity, IT management, and applied analytics. In conclusion, MD Shadman Soumik exemplifies a researcher and professional whose combined expertise, leadership, publications, and dedication to innovation make him highly deserving of recognition, with significant potential to advance IT security, artificial intelligence applications, and data analytics on a global scale.

Profile: LinkedIn

Featured Publications

  1. Soumik, M. S., Mahmud, M. R., Sami, S. I., & Tanim, M. K. B. S. (2025). Designing secure and usable systems: The intersection of human-computer interaction, cybersecurity, and machine learning. International Journal of Computer Applications (IJCA).

  2. Tarafdar, R., Soumik, M. S., & Venkateswaranaidu, K. (2025). Applying artificial intelligence for enhanced precision in early disease diagnosis from healthcare dataset analytics. IEEE International Conference on Data Science and Information Systems (ICDSIS).

  3. Soumik, M. S. (2024). A comparative analysis of network intrusion detection (NID) using artificial intelligence techniques for increased network security. International Journal of Scientific Research and Applications (IJSRA).

  4. Tanim, M. K. B. S., Parash, M. H., Soumik, M. S., & Shakib, M. (2024). Enhanced network anomaly detection using convolutional neural networks in cybersecurity operations. International Journal of Computer Applications (IJCA).

  5. Soumik, M. S. (2024). Prediction of the financial stock market: A comprehensive analysis of artificial intelligence. International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), 4(2).