Krishna Pada Das | Applied Mathematics | Best Researcher Award

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Best Researcher Award

Krishna Pada Das
Mahadevananda Mahavidyalaya, Barrackpore, Kol-120

Krishna Pada Das
Affiliation Mahadevananda Mahavidyalaya
Country India
Scopus ID 55217135400
Documents 90
Citations 560
h-index 14
Subject Area Applied Mathematics
Event International AI Data Scientists Award
ORCID 0000-0002-3460-6858

Krishna Pada Das is an academic researcher in Applied Mathematics affiliated with Mahadevananda Mahavidyalaya, India. His scholarly contributions span mathematical modeling, computational analysis, and interdisciplinary applications of mathematical methods. Through a sustained research record comprising numerous peer-reviewed publications, citations, and collaborative studies, he has contributed to the advancement of theoretical and applied mathematical sciences. His academic profile demonstrates consistent engagement with contemporary research challenges and reflects an active commitment to knowledge dissemination through scholarly publications and academic participation.[1]

Abstract

This article presents an overview of the academic achievements and research profile of Krishna Pada Das. His scholarly activities in Applied Mathematics have resulted in significant publication output and measurable citation impact. The researcher has contributed to mathematical analysis, computational methodologies, and interdisciplinary investigations that support scientific advancement and academic knowledge creation.[1]

Keywords

Applied Mathematics, Mathematical Modeling, Computational Analysis, Scientific Research, Academic Publications, Citation Impact, Interdisciplinary Research, Quantitative Methods.

Introduction

Applied Mathematics serves as a foundational discipline supporting scientific discovery, engineering innovation, and technological development. Researchers working in this field contribute by developing analytical frameworks and mathematical techniques capable of addressing complex real-world problems. Krishna Pada Das has established a research portfolio characterized by sustained scholarly productivity and engagement with contemporary mathematical challenges.[2]

Research Profile

The research profile of Krishna Pada Das reflects a combination of theoretical inquiry and practical application. According to publicly available academic metrics, the researcher has authored 90 indexed documents, accumulated approximately 560 citations, and achieved an h-index of 14. These indicators demonstrate scholarly visibility and ongoing influence within the academic community.[1]

Research Contributions

  • Development of mathematical and computational approaches for scientific investigations.
  • Contribution to interdisciplinary research utilizing quantitative methodologies.
  • Publication of peer-reviewed research supporting academic advancement.
  • Participation in collaborative research activities and knowledge dissemination.

Publications

The publication record of Krishna Pada Das includes research articles indexed in internationally recognized databases. These works cover topics relevant to Applied Mathematics and associated interdisciplinary domains. The collective body of work demonstrates continuity of research activity and commitment to scholarly communication.[1]

Research Impact

Research impact may be assessed through citation performance, publication quality, and influence on subsequent studies. With more than 560 citations and a measurable h-index, the researcher demonstrates evidence of scholarly recognition. The citation profile indicates that published findings have been referenced by other researchers, contributing to academic dialogue and knowledge development.[1]

Award Suitability

The Best Researcher Award recognizes individuals demonstrating sustained scholarly excellence, research productivity, and measurable academic impact. Based on available publication metrics, citation indicators, and contributions to Applied Mathematics, Krishna Pada Das exhibits characteristics commonly associated with award recognition. His research output and academic engagement support consideration for distinction within the International AI Data Scientists Award program.[3]

Conclusion

Krishna Pada Das has established a notable academic presence within the field of Applied Mathematics through sustained research activity, scholarly publications, and measurable citation impact. His contributions reflect dedication to advancing mathematical knowledge and supporting interdisciplinary scientific inquiry. The overall research profile demonstrates qualities consistent with academic excellence and professional recognition.

References

  1. Elsevier. (n.d.). Scopus author details: Krishna Pada Das, Author ID 55217135400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55217135400
  2. Google Scholar. (n.d.). Scholar profile and citation metrics for Krishna Pada Das.
    https://scholar.google.co.in/citations?user=V3yKc8oAAAAJ&hl=en
  3. International AI Data Scientists Award. (n.d.). Award evaluation and recognition framework.
    https://aidatascientists.com/
  4. Orcid author details: Krishna Pada Das, Author ID 0000-0002-3460-6858.
    https://orcid.org/0000-0002-3460-6858

Ali Tarkashvand | Mathematics | Best Researcher Award

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Best Researcher Award

Ali Tarkashvand
Iran University of Science and Technology

Ali Tarkashvand
Affiliation Iran University of Science and Technology
Country Iran
Scopus ID 57053412400
Documents 28
Citations 381
h-index 13
Subject Area Mathematics
Event International AI Data Scientists Award
ORCID 0000-0002-7464-5501

Ali Tarkashvand of Iran University of Science and Technology has established a research profile in mathematics through peer-reviewed publications, scholarly collaborations, and citation performance. His academic record reflects continued engagement with mathematical research and knowledge dissemination within the scientific community.[1]

Abstract

This article presents a concise academic overview of Ali Tarkashvand, highlighting scholarly productivity, citation influence, and contributions to mathematical research. The profile is prepared in the context of recognition through the Best Researcher Award and summarizes available research indicators and professional achievements.[1]

Keywords

Mathematics, Research Excellence, Scholarly Impact, Citations, Academic Achievement, Scientific Publications, Best Researcher Award.

Introduction

Recognition programs in academia often assess publication quality, citation performance, and contributions to knowledge creation. Ali Tarkashvand’s scholarly activities demonstrate active participation in mathematical research and academic dissemination through indexed publications and collaborative studies.[2]

Research Profile

Based on available indexing data, the researcher has authored 28 scholarly documents and accumulated 381 citations, resulting in an h-index of 13. These indicators suggest a consistent record of publication and academic visibility within relevant research domains.[1]

Research Contributions

The research contributions of Ali Tarkashvand are associated with mathematical investigations, analytical methodologies, and scholarly collaboration. His publications contribute to the broader understanding of mathematical theory and its applications across interdisciplinary environments.[3]

Publications

  • Indexed peer-reviewed mathematics publications.
  • Research articles appearing in international scholarly journals.
  • Collaborative studies contributing to mathematical knowledge development.

Research Impact

Citation metrics indicate that the researcher’s work has received scholarly attention from the academic community. The accumulated citation count reflects engagement by other researchers and demonstrates measurable influence within the field.[1]

Award Suitability

The Best Researcher Award emphasizes excellence in research productivity, scholarly impact, and professional contribution. Considering the publication record, citation metrics, and academic engagement of Ali Tarkashvand, the profile aligns with key evaluation criteria commonly applied in research recognition programs.[4]

Conclusion

Ali Tarkashvand has established a recognized research profile supported by peer-reviewed publications, citation performance, and ongoing scholarly engagement. These achievements illustrate a commitment to advancing mathematical research and support consideration for academic recognition through the Best Researcher Award.

References

  1. Elsevier. (n.d.). Scopus author details: Ali Tarkashvand, Author ID 57053412400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57053412400
  2. Google Scholar. (n.d.). Scholar profile and citation overview.
    https://scholar.google.com/citations?user=Xrbap3EAAAAJ&hl=en&oi=ao
  3. DOI Foundation. (n.d.). Digital Object Identifier reference resource.
    https://doi.org/10.1016/j.matcom.2020.01.001
  4. International AI Data Scientists Award. (n.d.). Award evaluation and recognition framework.
    https://aidatascientists.com/

Nikolaos Gkrekas | Mathematics | Best Researcher Award

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Mr. Nikolaos Gkrekas | Mathematics | Best Researcher Award

Researcher at University of Kansas | United States

Mr. Nikolaos Gkrekas is a mathematician whose research and academic contributions bridge the domains of dynamical systems, mathematical modeling, and applied analysis. His scholarly work demonstrates an interdisciplinary approach, uniting mathematical theory with practical applications in science, engineering, and education. He has authored several peer-reviewed papers in internationally recognized journals, addressing complex phenomena such as chaos, quasi-geostrophic equations, and epidemiological models, while also exploring the evolving role of artificial intelligence in mathematics education and research. His research reveals a consistent focus on nonlinear dynamics, mathematical modeling, and the interplay between theoretical structures and real-world systems. In addition to his research, he has participated in numerous international conferences, seminars, and workshops hosted by institutions such as Harvard University, Kyoto University, and the University of Essex, reflecting his active engagement with the global mathematics community. His involvement as a peer reviewer for top-ranked journals, including Chaos, Solitons & Fractals and Nonlinear Engineering, alongside his editorial role in applied mathematics publications, underscores his academic credibility and contribution to maintaining high standards in scientific communication. Nikolaos is also affiliated with prominent mathematical societies and research groups, emphasizing his dedication to advancing mathematical sciences and fostering collaborative research. His intellectual versatility, combined with his passion for analytical problem-solving, positions him as an emerging figure in modern mathematical research, recognized for integrating rigorous mathematical theory with insightful applications to complex systems and education.

Profile: Google Scholar

Featured Publications

Rizos, I., & Gkrekas, N. (2023). Incorporating history of mathematics in open-ended problem solving: An empirical study.

Rizos, I., & Gkrekas, N. (2022). Teaching and learning sciences within the COVID-19 pandemic era in a Greek university department.

Rizos, I., & Gkrekas, N. (2023). Is there room for conjectures in mathematics? The role of dynamic geometry environments.

Gkrekas, N. (2024). Applying Laplace transformation on epidemiological models as Caputo derivatives.

Rizos, I., & Gkrekas, N. (2022). The historical background of a famous indeterminate problem and some teaching perspectives.

Saba Inam | Mathematics | Best Researcher Award

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Dr. Saba Inam | Mathematics | Best Researcher Award

Lecturer at Fatima Jinnah Women University, The Mall, Rawalpindi, Pakistan

Dr. Saba Inam is a dedicated academician and researcher in the field of mathematics, with a strong emphasis on cryptography, image encryption, and machine learning. Currently serving as a lecturer, she has contributed extensively to the research ecosystem through her innovative projects, scholarly publications, and supervision of numerous theses at various levels. Her work bridges theoretical mathematics with modern digital security challenges.

Profile

Google Scholar | ORCID | Scopus

Best Researcher Award

Dr. Saba Inam is a highly suitable candidate for the “Best Researcher Award” owing to her consistent research excellence in cryptography, blockchain, and image encryption. Her work reflects a strong interdisciplinary approach, integrating mathematics with advanced technologies such as quantum encryption and AI. The volume, quality, and international impact of her publications, alongside her active engagement in funded projects and academic leadership, make her an exemplary choice for this recognition.

Education

Dr. Inam holds a Ph.D. in Mathematics from Capital University of Science and Technology (2019), an MS in Mathematics from COMSATS Institute of Information Technology (2007), and an M.Sc. in Mathematics from Quaid-i-Azam University (2005). Her educational background is marked by academic distinction and scholarships at each stage, underlining her early and continued dedication to the mathematical sciences.

Experience

Dr. Inam has been a Lecturer in Mathematics at Fatima Jinnah Women University since 2007, with leadership experience as the department Incharge from 2016 to 2018. Additionally, she served as a Research Associate at COMSATS Institute of Information Technology. She has taught courses at Ph.D., MPhil, and undergraduate levels and has supervised over 60 theses collectively across academic levels.

Research Interest

Her research interests include algebraic cryptography, cryptology, quantum encryption, image encryption, blockchain, IoT, deep learning, and fluid mechanics. She is particularly focused on developing secure and innovative encryption schemes for sensitive digital environments such as healthcare and satellite data transmission.

Publication

Dr. Saba Inam has published extensively in high-impact journals.

  • 2025: “Securing face images in UAV networks using chaos and DNA cryptography” – Scientific Reports.

  • 2025: “A novel image encryption scheme based on elliptic curves” – The European Physical Journal Plus.

  • 2025: “A Blockchain-Integrated Chaotic Fractal Encryption Scheme” – Scientific Reports.

  • 2025: “Blockchain-driven medical image encryption using chaotic tent map” – Scientific Reports.

Maedeh GholamAzad | Mathematics | Best Researcher Award

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Dr. Maedeh GholamAzad | Mathematics | Best Researcher Award

Postdoctoral Researcher at University of Kurdistan, Iran

Dr. Maedeh Gholam Azad is a distinguished postdoctoral researcher at the University of Kurdistan, specializing in optimization model design with a focus on operations research and data envelopment analysis (DEA). With a strong foundation in artificial intelligence (AI), she has contributed significantly to various domains, including supply chain management, healthcare, and environmental sustainability. Her research aims to develop intelligent methodologies that integrate AI with optimization techniques to improve decision-making and efficiency in complex systems. Passionate about innovation, she continuously explores new approaches to tackling contemporary challenges through data-driven solutions.

Profile

Scopus

Education

Dr. Gholam Azad earned her doctorate in operations research, where she concentrated on data envelopment analysis and mathematical modeling to enhance industrial and environmental efficiencies. Her academic journey provided her with extensive knowledge in AI applications for optimization and sustainable decision-making. Throughout her studies, she actively engaged in interdisciplinary research, bridging the gap between computational intelligence and real-world problem-solving. Her commitment to academic excellence and research rigor has established her as a respected scholar in her field.

Experience

With extensive experience in research and academia, Dr. Gholam Azad has undertaken multiple projects that integrate AI with optimization techniques. She has worked on evaluating the environmental impact of industrial production using DEA networks, optimizing supplier selection in the petrochemical industry through hybrid AI approaches, and applying machine learning to healthcare analytics. Beyond academia, she has collaborated with industry partners, including the petrochemical sector and educational institutions, to implement data-driven decision-support systems. Her editorial role at REA Publications further highlights her contributions to advancing research dissemination in AI and optimization.

Research Interests

Dr. Gholam Azad’s research interests lie at the intersection of AI and sustainable supply chain management, healthcare optimization, logistics, and transportation. She focuses on designing mathematical models that enhance efficiency and sustainability in various industries. Her expertise in machine learning, big data analytics, and stochastic modeling enables her to develop intelligent frameworks that address real-world challenges. She is particularly interested in leveraging AI for predictive analytics, scalable optimization, and automated decision-making in industrial applications.

Awards

Dr. Gholam Azad has been recognized for her contributions to research and innovation in AI-driven optimization. Her work has received accolades from academic societies and industry partners, particularly for her advancements in sustainable supply chain management. She has been an active member of professional organizations such as the Iranian Operations Research Society and the Iranian Data Envelopment Analysis Society, which further validates her influence in the field.

Publications

“Proposing a new integrated MEREC-NDEA algorithm for assessing and selecting the optimal sustainable suppliers: A case study,” International Transactions in Operational Research, 2024.

“Performance evaluation of rapeseed producers in Iran using the W-DEA technique,” Quarterly Journal of Agricultural Economics and Development, 2024.

“Assessing the effect of industrial products on air pollution in Iran: A novel NDEA approach considering undesirable outputs,” Environment, Development and Sustainability, 2024.

“Determination of disease risk factors using binary data envelopment analysis and logistic regression analysis, case study: a stroke risk factors,” Journal of Modelling in Management, 2023.

“Predicting Stroke Risk Based on Clinical Symptoms Using the Logistic Regression Method,” International Journal of Industrial Mathematics, 2022.

“Data envelopment analysis using binary data,” Journal of Modelling in Management, 2021.

“Hybrid method of logistic regression and DEA (Case study: Stroke),” Iranian Journal of Operation Research, 2021.

Conclusion

Dr. Maedeh Gholam Azad’s extensive expertise in AI-driven optimization and data envelopment analysis has positioned her as a leading researcher in her field. Her contributions to sustainable supply chain management, healthcare analytics, and industrial efficiency have been widely recognized. Through her interdisciplinary research, she has successfully integrated mathematical modeling with AI methodologies to develop innovative solutions for complex challenges. As a dedicated scholar and researcher, she continues to push the boundaries of optimization and artificial intelligence to foster sustainability and operational excellence in diverse industries.