Chodagam Srinivas | Engineering | Best Research Article Award

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Best Research Article Award

Chodagam Srinivas

Christ University (Deemed to be University), India

Chodagam Srinivas
Affiliation Christ University (Deemed to be University)
Country India
Scopus ID 57200275202
Documents 42
Citations 230
h-index 10
Subject Area Electrical Engineering
Article Type Research Article
Article Views 426
Event Indian Scientist Awards
ORCID 0000-0003-2618-6467

Chodagam Srinivas is a researcher affiliated with Christ University (Deemed to be University), India, whose stated subject area is electrical engineering. His research profile includes the article titled “Monte Carlo-based uncertainty framework for QCNN-guided hybrid optimization in distribution system load shedding.” The supplied bibliometric information provides a starting point for examining his scholarly output and potential relevance to the Best Research Article Award. [1] [2]

Abstract

This article presents the research profile of Chodagam Srinivas, affiliated with Christ University (Deemed to be University), India. The supplied information identifies electrical engineering as his subject area and highlights a research article concerning Monte Carlo-based uncertainty analysis, quantum convolutional neural networks (QCNNs), hybrid optimization, and distribution system load shedding. The profile also records 42 documents, 230 citations, and an h-index of 10. These indicators provide context for preliminary scholarly evaluation but do not independently establish research quality or award eligibility. [1] [2] [3]

Keywords

Chodagam Srinivas; electrical engineering; Monte Carlo simulation; uncertainty analysis; quantum convolutional neural networks; QCNN; hybrid optimization; distribution systems; load shedding; power system optimization; research article; bibliometrics; Indian Scientist Awards; Best Research Article Award. [3]

Introduction

Electrical engineering research addresses challenges in power system operation, reliability, and optimization. The article attributed to Chodagam Srinivas combines uncertainty analysis with QCNN-guided hybrid optimization for distribution system load shedding. This topic connects computational methods with power network decision-making under uncertain conditions. A rigorous assessment should examine the original article, methodology, validation, and documented findings before drawing conclusions about its contribution. [3]

Research Profile

Chodagam Srinivas is identified as a researcher affiliated with Christ University (Deemed to be University), India, in electrical engineering. The supplied Scopus information lists 42 documents, 230 citations, and an h-index of 10. These bibliometric measures provide an overview of indexed scholarly output and citation activity. Publication records and institutional details should be independently checked for accuracy and completeness. [1] [2]

Research Contributions

The named research article addresses a framework combining Monte Carlo-based uncertainty analysis, QCNN-guided computation, and hybrid optimization for distribution system load shedding. Monte Carlo methods can estimate the effects of uncertain inputs through repeated sampling, while optimization approaches seek suitable decisions under defined constraints. The article’s actual contribution should be established by examining its algorithm, experimental design, comparisons, and reported results. [3]

Publications

The supplied researcher profile records 42 documents and identifies the article “Monte Carlo-based uncertainty framework for QCNN-guided hybrid optimization in distribution system load shedding.” The article is described as a research article and has a reported view count of 426. These details should be verified against the publisher’s original record. Its DOI, journal information, publication year, and full author list should be added when independently confirmed. [1] [2]

Research Impact

The supplied profile reports 230 citations and an h-index of 10, while the specified article has 426 views. Citations and views represent different forms of scholarly attention and should not be treated as equivalent measures. Research impact is best assessed through verified citation records, methodological soundness, reproducibility, relevance to engineering practice, and evidence of influence on subsequent studies or applications. [1]

Award Suitability

The identified article offers a potentially relevant subject for consideration under the Best Research Article Award because it addresses computational uncertainty and optimization in electrical power distribution. A fair assessment should examine originality, technical rigor, validation, clarity of results, and relevance to the field. The supplied bibliometric indicators provide supporting context, but award suitability and eligibility depend on verified evidence and the organizers’ applicable selection criteria. [3]

Conclusion

Chodagam Srinivas’s supplied profile identifies electrical engineering as his subject area and highlights research addressing uncertainty-aware optimization for distribution system load shedding. The reported publication and citation indicators offer context for evaluating his scholarly activity. A complete assessment of the Best Research Article Award should prioritize the original article, verified findings, reproducibility, technical significance, and transparent evaluation criteria. [1] [3]

References

  1. Elsevier. (n.d.). Scopus author details: Chodagam Srinivas, Author ID 57200275202. Scopus. Consult the indexed profile to verify current publication and citation information.
    https://www.scopus.com/authid/detail.uri?authorId=57200275202
  2. ORCID. (n.d.). Chodagam Srinivas: Researcher identifier 0000-0003-2618-6467. ORCID provides a persistent identifier that can help connect researchers with their scholarly outputs and professional records.
    https://orcid.org/0000-0003-2618-6467
  3. Indian Scientist Awards. (n.d.). Official award website. Consult the organizers’ published information for the applicable award category, nomination requirements, eligibility conditions, and assessment procedures. The outcome of any nomination is not implied by this profile.
    https://indianscientist.in/

Ravikumar Ch | Engineering | Innovative Research Award

Posted-on by Indian Scientist Awards

Innovative Research Award

Ravikumar Ch

Sreenidhi University

Ravikumar Ch
Affiliation Sreenidhi University
Country India
Scopus ID 58918764900
Documents 37
Citations 157
h-index 8
Subject Area Engineering
Event Indian Scientist Awards
ORCID 0000-0003-0809-5545

Ravikumar Ch of Sreenidhi University has established a documented academic profile through peer-reviewed publications, citation impact, and sustained research activity within engineering disciplines. The recognition highlights measurable research productivity, scientific dissemination, and contributions to the advancement of engineering knowledge.[1]

Abstract

This article presents an academic overview of Ravikumar Ch and his scholarly contributions within the field of engineering. The profile reflects publication activity, citation performance, and research dissemination documented through recognized indexing platforms. The Innovative Research Award acknowledges researchers whose work demonstrates measurable scientific engagement, technical relevance, and continuing contributions to engineering research and innovation.[1]

Keywords

Engineering Research, Innovation, Scholarly Publications, Citation Analysis, Research Impact, Academic Recognition, Scopus Author Profile, Scientific Contributions, Technology Development, Innovative Research Award.

Introduction

Engineering research plays a critical role in addressing scientific, technological, and industrial challenges through systematic investigation and innovation. Recognition programs such as the Innovative Research Award provide an opportunity to acknowledge researchers who contribute to knowledge creation and technological advancement. Ravikumar Ch has participated in scholarly activities reflected through indexed publications and citations that indicate engagement with the broader research community.[1]

Research Profile

Ravikumar Ch is affiliated with Sreenidhi University, India, and has developed a research portfolio primarily associated with engineering disciplines. According to available scholarly indexing information, the researcher has authored 37 indexed documents, received 157 citations, and attained an h-index of 8. These metrics provide quantitative indicators of academic productivity and research visibility within the scientific literature.[1]

  • Affiliation: Sreenidhi University
  • Research Domain: Engineering
  • Indexed Publications: 37
  • Citation Count: 157
  • h-index: 8

Research Contributions

The researcher’s scholarly output reflects participation in engineering-focused investigations addressing contemporary scientific and technological questions. Through peer-reviewed publications, conference proceedings, and collaborative academic efforts, the research profile contributes to knowledge dissemination and supports continued advancement within engineering-related domains. Published studies provide evidence of engagement with current research challenges and evolving technological methodologies.[2]

  • Contribution to engineering research literature.
  • Participation in peer-reviewed scholarly communication.
  • Support for interdisciplinary technological advancement.
  • Research dissemination through indexed publications.

Publications

The publication record demonstrates sustained academic activity and scholarly engagement. Indexed research outputs contribute to the visibility of engineering research and facilitate citation-based evaluation. Publication quality, dissemination, and accessibility are important indicators used in assessing academic achievement and research excellence.[1]

  1. Peer-reviewed journal articles in engineering-related fields.
  2. Conference proceedings and technical publications.
  3. Collaborative research studies with academic relevance.
  4. Research outputs indexed through international scholarly databases.

Representative DOI references illustrating scholarly publication standards include engineering and scientific articles archived through digital object identifier systems.[3]

Research Impact

Research impact is commonly evaluated through publication output, citation metrics, and scholarly influence. The available citation count and h-index indicate that the researcher’s publications have received attention within the academic community. Such metrics, while not comprehensive measures of scientific value, provide useful indicators of visibility, engagement, and influence within the research ecosystem.[1]

  • 157 documented citations.
  • h-index of 8 indicating recurring scholarly influence.
  • Research dissemination through indexed publications.
  • Academic engagement across engineering communities.

Award Suitability

The Innovative Research Award recognizes measurable research achievement, academic productivity, and contribution to scientific progress. Based on available scholarly indicators, Ravikumar Ch demonstrates characteristics commonly associated with award eligibility, including peer-reviewed publications, documented citation impact, and active participation in engineering research. Such attributes align with the objectives of academic recognition programs designed to acknowledge sustained scholarly excellence and innovation.[1][4]

Conclusion

Ravikumar Ch’s academic profile reflects an established record of engineering research activity supported by indexed publications, citations, and scholarly engagement. The Innovative Research Award serves as recognition of contributions that advance scientific understanding and encourage continued innovation. The documented research metrics and publication record provide a foundation for evaluating the researcher’s impact within the engineering community.[1]

References

  1. Scopus author details: Ravikumar Ch, Author ID 58918764900. Scopus. https://www.scopus.com/authid/detail.uri?authorId=58918764900
  2. Federated Learning and Quantum-Resilient Cryptographic Frameworks for Secure and Trustworthy AIoT Ecosystems. https://www.igi-global.com/gateway/chapter/408989
  3. Securing AIoT Ecosystems With Blockchain Trust Modeling and Privacy Preserving Frameworks: Securing AIoT Ecosystems. https://www.igi-global.com/gateway/chapter/411113
  4. A Comprehensive Analysis for Advancements and Challenges in Deep Learning Models for Image Processing. https://link.springer.com/chapter/10.1007/978-981-97-8031-0_24

Archna Dhasmana | Nanobiotechnology | Best Researcher Award

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Assist. Prof. Dr. Archna Dhasmana | Nanobiotechnology | Best Researcher Award

School of Biosciences, Swami Rama Himalayan University | India

Dr. Archna Dhasmana is an accomplished academic and researcher specializing in Tissue Engineering, Nanobiotechnology, and Regenerative Medicine. Her research focuses on biomolecule and drug delivery systems, polymeric scaffolds, and smart biomaterials for tissue remodeling and cancer theranostics. With over 40 peer-reviewed publications in high-impact SCI and Scopus-indexed journals such as Scientific Reports, Biomedicines, Frontiers in Bioengineering and Biotechnology, and Nanoscale, her work demonstrates significant contributions to biomedical innovation. She has achieved an H-index of 13, i10-index of 15, and 918 citations, reflecting strong research impact.Dr. Dhasmana’s funded projects include pioneering studies in bioengineered grafts, biogenic nanoparticles, and green nanotechnology for sustainable biomedical applications. She has successfully led and co-led projects supported by DHR, Ministry of Health and Family Welfare (₹75 lakhs) and institutional research grants. Her interdisciplinary research integrates molecular biology, polymer science, and nano-engineering to design next-generation biocompatible materials.

Profile: Google Scholar

Featured Publications

Gupta, S. K., Mishra, N. C., & Dhasmana, A. (2017). Decellularization methods for scaffold fabrication. In Decellularized scaffolds and organogenesis: Methods and protocols (pp. 1–10).

Malik, S., Kishore, S., Dhasmana, A., Kumari, P., Mitra, T., Chaudhary, V., … (2023). A perspective review on microbial fuel cells in treatment and product recovery from wastewater. Water, 15(2), 316.

Bhattacharjee, R., Kumar, L., Mukerjee, N., Anand, U., Dhasmana, A., … (2022). The emergence of metal oxide nanoparticles (NPs) as a phytomedicine: A two-facet role in plant growth, nano-toxicity and anti-phyto-microbial activity. Biomedicine & Pharmacotherapy, 155, 113658.

Bhandari, G., Dhasmana, A., Chaudhary, P., Gupta, S., Gangola, S., Gupta, A., … (2023). A perspective review on green nanotechnology in agro-ecosystems: Opportunities for sustainable agricultural practices and environmental remediation. Agriculture, 13(3), 668.

Dhasmana, A., Singh, A., & Sagar, R. (2020). Biomedical grafts for tracheal tissue repairing and regeneration: Tracheal tissue engineering—An overview. Journal of Tissue Engineering and Regenerative Medicine, 14(1), 653–672.

Subash Chandra S | Medical Research | Best Researcher Award

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Dr. Subash Chandra S | Medical Research | Best Researcher Award

Maulana Azad Medical College | India

Dr. Subash Chandra Sonkar is a distinguished researcher in Microbiology and Biomedical Sciences, recognized for his impactful contributions to infectious disease studies, vaccine development, and immunological research. He holds advanced degrees in Microbiology and has extensive academic and research experience across reputed national and international institutions. His research focuses on host–pathogen interactions, antimicrobial resistance, and translational biomedical approaches aimed at improving healthcare outcomes. Dr. Sonkar has authored numerous peer-reviewed papers, with an h-index of 9, 34 research documents, and over 350 citations, reflecting his consistent influence in scientific scholarship. His interdisciplinary expertise extends to molecular diagnostics and microbial pathogenesis, advancing innovative solutions to public health challenges. A recipient of multiple research awards and recognitions, he continues to mentor students and collaborate on global scientific initiatives. His work demonstrates a strong commitment to advancing biomedical research and fostering innovation in microbiological sciences. Dr. Sonkar’s pursuit of excellence and contribution to knowledge dissemination reinforce his standing as a dedicated scientist devoted to scientific progress and societal well-being.

Profile: Scopus

Featured Publications

Sonkar, S. C., & Co-authors. (2025). Revolutionizing immunotherapy: The next frontier in CAR T-cell engineering.

Sonkar, S. C., & Co-authors. (2025). Exploration of the transfluthrin effects on fertility and pregnancy outcomes: An in-vivo study in rat. Pesticide Biochemistry and Physiology.

Sonkar, S. C., & Co-authors. (2025). Alkhumra Hemorrhagic Fever Virus (AHFV): A concise overview.

Sonkar, S. C., & Co-authors. (2024). Determining factor of enzyme conjugates, bridge heterology and analytical variables of immunogens in prednisolone ELISA. Sensing and Bio-Sensing Research.