Dhananjay Taumar | Pharmaceutical Sciences | Best Academic Researcher Award

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Best Academic Researcher Award

Dhananjay Taumar –  IIMT University Meerut

 Dhananjay Taumar
Affiliation IIMT University Meerut
Country India
Scopus ID 58785853500
Documents 14
Citations 16
h-index 1
Subject Area Pharmaceutical Sciences
Event Name World Top Scientist Awards
ORCID 0009-0008-8967-4672

This article presents an academic overview of the research profile of Dhananjay Taumar, affiliated with IIMT University Meerut, in relation to the Best Academic Researcher Award. The summary follows a neutral encyclopedic style and highlights publicly available scholarly indicators including publication output, citations, research interests, and persistent researcher identifiers. The information is intended for academic reference and reflects recognized research indexing practices.[1]

Abstract

Dhananjay Taumar’s documented research activity is indexed through internationally recognized scholarly databases and reflects contributions within pharmaceutical sciences. Available metrics indicate fourteen indexed documents together with citation activity and an h-index that collectively provide measurable evidence of research dissemination. Such indicators are commonly used for institutional evaluation, research visibility, and academic recognition while being interpreted alongside qualitative scholarly assessment.[2]

Keywords

Pharmaceutical Sciences, Scopus, ORCID, Academic Research, Citation Analysis, Scholarly Publishing, Research Metrics, Research Evaluation.

Introduction

Academic awards frequently consider research productivity, publication quality, citation influence, and sustained scholarly engagement. International indexing platforms improve transparency by providing standardized author profiles and publication records that assist institutions and award committees in evidence-based evaluation. Persistent researcher identifiers further enhance attribution and long-term discoverability.[3]

Research Profile

The available profile indicates that Dhananjay Taumar is affiliated with IIMT University Meerut and conducts research within pharmaceutical sciences. The author’s Scopus profile and ORCID identifier contribute to reliable scholarly identification across publishers and indexing systems. These resources support research integrity, author disambiguation, and consistent academic reporting.[1]

Research Contributions

Research contributions in pharmaceutical sciences commonly include experimental studies, reviews, collaborative investigations, and scientific communication that advance understanding within the discipline. Indexed publications enable peer verification while citation records demonstrate continuing engagement by the scholarly community. These characteristics form important components of academic assessment.[4]

Publications

The publication record of Dhananjay Taumar reflects a consistent research focus on pharmaceutical sciences, nanotechnology-based drug delivery, neuropharmacology, and modern therapeutic strategies. Recent publications indexed through ORCID and Scopus include studies on silica-based nanocarriers, gene delivery, antimicrobial peptides, inflammatory disorders, and precision medicine. These scholarly works demonstrate interdisciplinary collaboration with researchers from multiple institutions while addressing contemporary healthcare challenges through evidence-based pharmaceutical research.[2]

Research Impact

The research impact of Dhananjay Taumar may be evaluated using internationally accepted scholarly indicators such as indexed publications, citation count, author profile visibility, and persistent digital identifiers. Available records indicate active publication in peer-reviewed journals together with measurable citation activity that contributes to the visibility of his scientific work. The combination of ORCID registration, Scopus indexing, and DOI-linked publications supports transparency, accessibility, and long-term discoverability of research outputs within the global academic community.[3]

Award Suitability

Recognition through academic awards generally considers research quality, publication consistency, citation performance, institutional affiliation, and scholarly contribution to the advancement of knowledge. Based on publicly available academic records, Dhananjay Taumar possesses verifiable research credentials supported by indexed publications and internationally recognized researcher identifiers. The final determination of eligibility for the World Top Scientist Awards remains subject to the official evaluation process and independent selection criteria established by the award organizing committee.[4]

Conclusion

The academic profile presented in this article summarizes publicly available information relating to Dhananjay Taumar’s scholarly activities, institutional affiliation, publication record, and research identifiers. The available evidence indicates ongoing contributions within pharmaceutical sciences through peer-reviewed publications and collaborative research initiatives. This information serves as an objective academic overview intended for reference purposes and supports transparent documentation of scholarly achievements within internationally recognized research databases.[5]

References

  1. Taumar, D., Singh, A. P., Sharma, H., Gohri, S., & Chaudhary, V. (2026). Silica based nanocarriers for combination immunotherapy targeting the tumor immune microenvironment. Drug Delivery and Translational Research. https://doi.org/10.1007/s13346-026-02131-8
  2. Taumar, D., Singh, A. P., Sharma, H., Shamim, Gohri, S., & Chaudhary, V. (2026). Mechanistic and safety evaluation of standardized traditional Chinese medicine formulations and their bioactive constituents in ICD-11-classified inflammatory skin diseases: A structured narrative review. https://doi.org/10.1016/j.prmcm.2026.100827
  3. Taumar, D., Kumar, A., Singh, A. P., & Dhama, N. (2026).
    ROS-responsive baicalin hydrogel from Scutellaria baicalensis for targeted modulation of cutaneous inflammation: Mechanistic insights and translational perspectives. https://doi.org/10.1016/j.prmcm.2026.100807
  4. Shamim, Singh, A. P., Sharma, H., Gohri, S., Taumar, D., & Chaudhary, V. (2026). Exosome mimetic nanoparticles for siRNA based targeting of α-synuclein and neuroinflammation in Parkinson’s disease. https://doi.org/10.1093/jpp/rgag052
  5. Kumar, S., Taumar, D., Gaikwad, S., More, A., Nema, V., & Mukherjee, A. (2024).
    Antiretroviral action of Rosemary oil-based atazanavir formulation and the role of self-nanoemulsifying drug delivery system in the management of HIV-1 infection. https://doi.org/10.1007/s13346-023-01492-8

Shalli Rani | Computer Science | Best Researcher Award

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Prof. Shalli Rani | Computer Science | Best Researcher Award

Professor | Chitkara University | India

Prof. Shalli Rani is a distinguished researcher in the fields of Internet of Things, Wireless Sensor Networks, Cloud Computing, and Machine Learning, with a prolific record of high-impact publications, books, patents, and editorial contributions. She has demonstrated exceptional leadership in guiding numerous PhD and ME students, fostering innovation and research excellence. Her work effectively bridges academia and industry through applied projects, including smart healthcare solutions, Industry 5.0 initiatives, and explainable AI systems. Recognized globally through invited talks, conference engagements, and editorial responsibilities in top journals, she has established herself as a thought leader in her domain. Her research contributions reflect both depth and breadth, combining theoretical rigor with practical relevance. Prof. Rani’s measurable research impact on Scopus is remarkable, with 4,400 citations, 311 documents, and an h-index of 34, highlighting her sustained influence and scholarly excellence in the international research community.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

1. S. Rani, R. Talwar, J. Malhotra, S. Ahmed, M. Sarkar, and H. Song, “A novel scheme for an energy efficient Internet of Things based on wireless sensor networks,” Sensors, vol. 15, no. 11, pp. 28603–28626, 2015.

2. S. Rani, S. H. Ahmed, and R. Rastogi, “Dynamic clustering approach based on wireless sensor networks genetic algorithm for IoT applications,” Wireless Networks, vol. 26, no. 4, pp. 2307–2316, 2020.

3. S. Bharany, S. Badotra, S. Sharma, S. Rani, M. Alazab, and R. H. Jhaveri, “Energy efficient fault tolerance techniques in green cloud computing: A systematic survey and taxonomy,” Sustainable Energy Technologies and Assessments, vol. 53, p. 102613, 2022.

4. G. S. Brar, S. Rani, V. Chopra, R. Malhotra, H. Song, and S. H. Ahmed, “Energy efficient direction-based PDORP routing protocol for WSN,” IEEE Access, vol. 4, pp. 3182–3194, 2016.

5. S. Rani, D. Koundal, M. F. Ijaz, M. Elhoseny, and M. I. Alghamdi, “An optimized framework for WSN routing in the context of Industry 4.0,” Sensors, vol. 21, no. 19, p. 6474, 2021.

Prof. Mariano Luque Gallego | Econometrics and Finance | Best Researcher Award

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Prof. Mariano Luque Gallego | Econometrics and Finance | Best Researcher Award

Full Professor at Universidad de Málaga, Spain

Mariano Luque Gallego is a Full Professor at the University of Málaga with a distinguished academic background in Mathematics and Quantitative Economics. Since 1995, he has built a prolific research career, marked by over 60 peer-reviewed publications, most in high-impact journals (63% in Q1), and a strong citation record across Web of Science, Scopus, and Google Scholar (h-index up to 27). He has led more than 30 research projects and collaborated extensively with industry, notably through Math-In and agreements with Repsol and CEPSA. His research focuses on multiobjective optimization and decision-making, with international recognition through partnerships with leading scholars and invited talks worldwide. He also contributes as an evaluator for national and international academic institutions. As a mentor and innovator, he has supervised PhD students and co-authored software with registered intellectual property. His work demonstrates a strong blend of academic excellence, applied impact, and international collaboration.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile 

Education

Mariano Luque Gallego holds a strong academic foundation in mathematics and economics. He earned his degree in Mathematics in 1995 with an impressive average score of 9 out of 10. He pursued advanced studies at the University of Málaga, obtaining a Master’s degree in Mathematics in 1997 and a Ph.D. in Quantitative Economics in 2000—both with the highest possible qualifications. His educational background reflects a deep commitment to analytical rigor and interdisciplinary integration, especially in the fields of mathematical modeling and economic decision-making. His early academic performance laid a solid groundwork for his future research career, combining theoretical depth with applied problem-solving capabilities. These qualifications have served as the cornerstone of his professional and research development, enabling him to contribute significantly to the intersection of applied mathematics and economics.

Professional Experience

Since 1995, Mariano Luque Gallego has been affiliated with the Department of Applied Economics at the University of Málaga. Over the years, he has demonstrated steady academic progression, culminating in his appointment as Full Professor in October 2015. He was accredited for this role in 2012, underscoring both his academic qualifications and institutional recognition. His career spans over two decades, marked by active participation in over 30 research projects, all led by him since 2010. In addition to his teaching and research responsibilities, he has served as an evaluator for various academic and government bodies in Spain and internationally. His professional experience also includes collaborations with industries through research and development agreements, showcasing his capacity to bridge academic theory and real-world application. His long-standing presence in academia, combined with leadership roles in project management and evaluation, reflects a mature and well-rounded professional trajectory.

Research Interest

Mariano Luque Gallego’s primary research interests lie in multiobjective optimization, decision-making, and quantitative methods in economics. His work is particularly focused on Multiple Criteria Decision Making (MCDM) and Evolutionary Multiobjective Optimization (EMO), where he has contributed substantially through both theoretical advancements and practical applications. He has co-authored research with internationally renowned experts such as Kalyanmoy Deb, Kaisa Miettinen, and Ralph E. Steuer. His interest in applied mathematics also extends to collaborative industrial research, software development, and the integration of mathematical models in economic decision frameworks. As a principal investigator in numerous national and European research projects, he has consistently translated complex mathematical theories into tools for solving real-world economic problems. His interdisciplinary focus and consistent publication record (with a majority in Q1 journals) demonstrate a robust and evolving research agenda that continues to shape the field of applied quantitative economics.

Award and Honor

While no singular award title is listed, Mariano Luque Gallego’s career is decorated with a variety of significant academic honors and recognitions. He holds four recognized six-year research evaluation periods (sexenios) and one transfer period, granted by the Spanish national academic system—clear indicators of sustained research excellence. He has been invited to present at prestigious institutions and high-level academic meetings such as the Dagstuhl seminars on MCDM and EMO, which only select top researchers in the field. He has also served as an evaluator for leading academic institutions and national research agencies in Spain and abroad, including the University of Manchester and the Romanian National Council for Research. Additionally, his research collaborations with industry and contributions to registered software intellectual property reflect peer and institutional recognition of his innovative work. These cumulative distinctions affirm his high standing within both academic and professional research communities.

Conclusion

Mariano Luque Gallego stands out as a highly accomplished academic and researcher with deep expertise in mathematics and quantitative economics. His career reflects a seamless integration of advanced theoretical knowledge and real-world application, underpinned by a consistent track record of high-impact publications, successful research leadership, and meaningful collaborations with both academia and industry. His sustained output in top-tier journals, international partnerships, and commitment to mentoring emerging scholars underscore his influence in the field. With a strong foundation in education, decades of professional dedication, and well-defined research interests in multiobjective decision-making, he embodies the qualities of a leading researcher. While he already commands significant respect within academic circles, his ongoing contributions position him as an ideal candidate for top-level recognition such as the Best Researcher Award. His profile reflects not only past achievements but also continued promise for impactful future research and collaboration.

Publications Top Notes

  • Title: Evolutionary multi-objective optimization algorithms for fuzzy portfolio selection
    Authors: R. Saborido, A.B. Ruiz, J.D. Bermúdez, E. Vercher, M. Luque
    Year: 2016
    Citations: 152

  • Title: A preference-based evolutionary algorithm for multiobjective optimization: the weighting achievement scalarizing function genetic algorithm
    Authors: A.B. Ruiz, R. Saborido, M. Luque
    Year: 2015
    Citations: 151

  • Title: Incorporating preference information in interactive reference point methods for multiobjective optimization
    Authors: M. Luque, K. Miettinen, P. Eskelinen, F. Ruiz
    Year: 2009
    Citations: 145

  • Title: NAUTILUS method: An interactive technique in multiobjective optimization based on the nadir point
    Authors: K. Miettinen, P. Eskelinen, F. Ruiz, M. Luque
    Year: 2010
    Citations: 113

  • Title: Assessing global competitiveness under multi-criteria perspective
    Authors: S. Pérez-Moreno, B. Rodríguez, M. Luque
    Year: 2016
    Citations: 108

  • Title: An application of reference point techniques to the calculation of synthetic sustainability indicators
    Authors: F. Ruiz, J.M. Cabello, M. Luque
    Year: 2011
    Citations: 87

  • Title: Global formulation for interactive multiobjective optimization
    Authors: M. Luque, F. Ruiz, K. Miettinen
    Year: 2011
    Citations: 79

  • Title: Global WASF-GA: An evolutionary algorithm in multiobjective optimization to approximate the whole Pareto optimal front
    Authors: R. Saborido, A.B. Ruiz, M. Luque
    Year: 2017
    Citations: 74

  • Title: Optimization of the size of a solar thermal electricity plant by means of genetic algorithms
    Authors: J.M. Cabello, J.M. Cejudo, M. Luque, F. Ruiz, K. Deb, R. Tewari
    Year: 2011
    Citations: 73

  • Title: Using interactive multiobjective methods to solve DEA problems with value judgements
    Authors: B.Y.H. Wong, M. Luque, J.B. Yang
    Year: 2009
    Citations: 66

  • Title: A classification of the weighting schemes in reference point procedures for multiobjective programming
    Authors: F. Ruiz, M. Luque, J.M. Cabello
    Year: 2009
    Citations: 65

  • Title: Modified interactive Chebyshev algorithm (MICA) for convex multiobjective programming
    Authors: M. Luque, F. Ruiz, R.E. Steuer
    Year: 2010
    Citations: 42

  • Title: InDM2: Interactive dynamic multi-objective decision making using evolutionary algorithms
    Authors: A.J. Nebro, A.B. Ruiz, C. Barba-González, J. García-Nieto, M. Luque, et al.
    Year: 2018
    Citations: 41

  • Title: PROMOIN: an interactive system for multiobjective programming
    Authors: R. Caballero, M. Luque, J. Molina, F. Ruiz
    Year: 2002
    Citations: 39

  • Title: E-NAUTILUS: A decision support system for complex multiobjective optimization problems based on the NAUTILUS method
    Authors: A.B. Ruiz, K. Sindhya, K. Miettinen, F. Ruiz, M. Luque
    Year: 2015
    Citations: 38

 

Sheriya Sareen | Higher Education | Best Researcher Award

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Ms. Sheriya Sareen | Higher Education | Best Researcher Award

PhD Research Scholar, Indian Institute of Technology Jammu (IIT Jammu), India

Sheriya Sareen is a dedicated Ph.D. Research Scholar at the Indian Institute of Technology (IIT) Jammu, specializing in Technology Integration in Higher Education. With a profound interest in enhancing educational methodologies through technology, she is contributing significantly to the academic community. Sheriya’s research focuses on blended learning, technology-enabled education, and sustainable higher education policies, aiming to bridge the gap between traditional and digital learning environments.

Profile

Orcid

Education 🎓:

Sheriya holds an impressive academic record with ongoing Ph.D. research in Technology Integration in Higher Education at IIT Jammu, where she maintains the highest CGPA in her department. She earned a gold medal in her Integrated B.Ed.-M.Ed. from the Cluster University of Jammu, showcasing her expertise in Educational Statistics. Additionally, Sheriya holds an M.Sc. in Physics with distinction from the University of Jammu, emphasizing Nuclear Theory, and a B.Sc. (Non-Medical) from the same institution, where she secured the 3rd position overall.

Experience 💼:

Sheriya’s extensive research experience includes her role as a Research Consultant for the Commonwealth Educational Media Centre for Asia (CEMCA) and a multi-year Research Associate position at IIT Jammu. She has participated in numerous projects, including examining teachers’ competencies in AI-enabled education and integrating digital education in conflict zones. Her practical exposure includes internships at the Commonwealth of Learning and NUS Singapore.

Research Interests 🔬:

Sheriya’s research interests lie at the intersection of technology and education. She focuses on technology integration in higher education, technology-enabled learning, blended learning, and policies for sustainable education. She is particularly interested in teachers’ professional development in blended and online learning environments, aiming to enhance the quality and accessibility of education in various contexts.

Awards 🏅:

Sheriya’s academic excellence and dedication have been recognized through various awards. She was the Gold Medalist in her Integrated B.Ed.-M.Ed. program, the Most Punctual Student at the Cluster University of Jammu, and secured the third position in her undergraduate studies. Additionally, she was recognized as an All-Rounder at G.C.W. Gandhinagar, highlighting her diverse talents and commitment.

Publications Top Notes ✍️:

Sheriya has contributed to several esteemed journals and books. Notable publications include:

“Assessing SDG 4 indicators in online and blended higher education within conflict zones” (2024), Social Sciences and Humanities Open. Link

“Revisiting ‘Great Media Debate’: Technology-Mediated Learning and Ground Realities across the Indian Institutes of Technology” (2023), Research in Educational Policy and Management. Link

“Online higher education amidst frequent internet shutdowns: Teachers’ dilemma in Kashmir over UGCs mandate on blended learning” (2022), Teacher Education Journal of Bangladesh. Link

“Is India ready for the onset of all-digital universities?” (2022), University World News. Link

Book Chapter: “Mainstreaming Humanities and Social Sciences courses in Engineering Programmes” (2024), In Roadmap for Humanities and Social Sciences in STEM Higher Education, Springer Nature.