Nithyadevi Duraisamy | Computational Modeling | Editorial Board Member

Published on by Chemistry Awards

Editorial Board Member

Nithyadevi Duraisamy
Affiliation Long Island University
Country United States
Scopus ID 59370044600
Documents 6
Citations 23
h-index 4
Subject Area Computational Modeling
Event International Chemistry Scientist Awards

Nithyadevi Duraisamy is associated with Long Island University in the United States and has contributed to the field of computational modeling through scholarly publications and interdisciplinary scientific engagement. Her research profile demonstrates involvement in computational and chemistry-related analytical methodologies, with indexed publications and measurable citation impact recorded in international academic databases.[1] The recognition of her academic profile within the framework of the International Chemistry Scientist Awards reflects continued participation in scientific communication, editorial activities, and research dissemination within the broader chemistry and computational sciences community.[3]

Abstract

This article presents an academic overview of Nithyadevi Duraisamy, highlighting scholarly contributions, institutional affiliation, publication metrics, and participation in scientific research activities associated with computational modeling and chemistry-related analytical studies. The profile summarizes available bibliometric indicators including indexed documents, citation counts, and h-index values while discussing the relevance of editorial recognition within international scientific award platforms. The article further examines research visibility, interdisciplinary engagement, and the significance of scholarly dissemination through indexed databases and digital researcher identifiers.[1][3]

Keywords

Computational Modeling, Chemistry Research, Editorial Board Member, Scientific Publications, Scopus Author Profile, Research Metrics, Citation Analysis, Academic Recognition, International Chemistry Scientist Awards, ORCID.

Introduction

The growth of computational methodologies in scientific research has significantly influenced modern chemistry, materials science, and interdisciplinary analytical studies. Researchers working within computational frameworks contribute to data interpretation, molecular simulations, predictive modeling, and algorithmic scientific analysis that support both experimental and theoretical investigations.[3] Academic profiles indexed through global scholarly databases provide measurable indicators for evaluating publication activity, citation performance, and research visibility across international research communities.[1]

Nithyadevi Duraisamy has been associated with Long Island University and has contributed to scholarly activities connected to computational modeling and related scientific applications. The inclusion of her profile within recognized academic indexing systems and editorial recognition frameworks reflects ongoing participation in scientific communication and academic dissemination processes. Editorial board recognition within international scientific platforms frequently acknowledges subject expertise, peer-review participation, and research engagement in specialized scientific disciplines.

Research Profile

The research profile of Nithyadevi Duraisamy demonstrates engagement in computational and analytical scientific investigations supported by indexed scholarly publications. According to publicly accessible bibliometric records, the researcher has six indexed documents with a cumulative citation count of twenty-three and an h-index of four.[1] Such metrics indicate developing academic visibility within specialized research domains and reflect the contribution of published work to scholarly discourse.

The researcher’s institutional affiliation with Long Island University positions the academic profile within an internationally recognized educational environment that supports interdisciplinary scientific collaboration and research dissemination. Digital scholarly identifiers such as ORCID and Scopus Author ID facilitate transparency in academic attribution, publication tracking, and long-term research discoverability.[3]

Research Contributions

Research contributions associated with computational modeling often involve simulation-based analysis, algorithmic interpretation, molecular computation, predictive chemistry, and interdisciplinary scientific evaluation. Scholars working in this area support the advancement of theoretical frameworks that complement laboratory-based experimentation and facilitate efficient data-driven scientific analysis.[1][3]

Nithyadevi Duraisamy’s scholarly profile reflects participation in academic publication and scientific dissemination processes relevant to these computational and analytical domains. Editorial involvement and scientific recognition initiatives further contribute to the promotion of peer-reviewed communication and collaborative academic exchange across chemistry and related scientific disciplines.[3]

  • Participation in computationally oriented scientific research
  • Contribution to indexed scholarly publications
  • Support for interdisciplinary analytical methodologies
  • Engagement in scientific editorial and academic dissemination activities

Publications

The publication record associated with the researcher demonstrates indexed scholarly output in computational and scientific analytical areas. Indexed publication databases serve as important tools for evaluating publication quality, citation reach, and academic engagement across institutional and international research environments.[1]

  1. Research articles indexed through Scopus-authorized databases related to computational modeling and scientific analysis.
  2. Interdisciplinary publications contributing to analytical chemistry and computational scientific applications.
  3. Scholarly outputs associated with institutional and collaborative scientific research dissemination.

Research Impact

Bibliometric indicators are frequently used to evaluate scholarly visibility and academic influence within scientific communities. Citation counts, document indexing, and h-index measurements collectively provide insights into publication engagement and scholarly reach.[1] Although quantitative metrics alone do not fully define scientific contribution, they remain important tools for assessing research dissemination and recognition.

The current profile metrics associated with Nithyadevi Duraisamy indicate measurable academic engagement within the computational modeling domain. Citation-based indicators suggest that the researcher’s published work has received scholarly attention within indexed academic environments. Continued publication activity and collaborative interdisciplinary participation may further strengthen long-term research visibility and citation performance.[3]

Award Suitability

Recognition within the International Chemistry Scientist Awards framework as an editorial board member reflects professional engagement in scientific communication and scholarly evaluation processes. Editorial responsibilities commonly involve peer-review coordination, publication ethics awareness, subject expertise evaluation, and support for academic quality assurance within scientific publishing environments.[3]

The researcher’s documented publication metrics, institutional affiliation, and participation in computational modeling research support suitability for recognition within editorial and academic contribution categories. The integration of indexed scholarly identifiers and measurable citation records further strengthens the transparency and credibility of the academic profile.[1]

  • Indexed scholarly publication record
  • Participation in computational research disciplines
  • Editorial and scientific dissemination engagement
  • Institutional affiliation with an internationally recognized university

Conclusion

Nithyadevi Duraisamy represents an academic profile associated with computational modeling and interdisciplinary scientific analysis through indexed publications, measurable citation metrics, and scholarly engagement activities. The documented bibliometric indicators and editorial recognition demonstrate participation in scientific dissemination and research-oriented communication platforms. Continued involvement in collaborative computational research and publication activities may contribute to expanded scholarly influence and future academic development within the broader scientific community.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Nithyadevi Duraisamy, Author ID 59370044600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59370044600
  2. ORCID. (n.d.). ORCID profile and researcher identification system.
    https://orcid.org/0000-0001-9943-0008
  3. Kokulnathan, T., Wang, T.-J., Kumar, E. A., Duraisamy, N., & Lee, A.-T. (n.d.). An electrochemical platform based on yttrium oxide/boron nitride nanocomposite for the detection of dopamine. Academic publication.
    https://scholar.google.com/citations?view_op=view_citation&hl=en&user=sv9_UoAAAAAJ&citation_for_view=sv9_UoAAAAAJ:YOwf2qJgpHMC
  4. Ferrigno, B., Bordett, R., Duraisamy, N., Moskow, J., Arul, M. R., & Rudraiah, S. (n.d.). Bioactive polymeric materials and electrical stimulation strategies for musculoskeletal tissue repair and regeneration. Scientific publication.
    https://scholar.google.com/citations?view_op=view_citation&hl=en&user=sv9_UoAAAAAJ&citation_for_view=sv9_UoAAAAAJ:kNdYIx-mwKoC

Dr. Peng Wang | Computational Modeling | Best Researcher Award

Published on by Chemistry Awards

Dr. Peng Wang | Computational Modeling | Best Researcher Award

Dr. Peng Wang | Computational Modeling | Lecturer at School of Mining and Coal Engineering, Inner Mongolia University of Science and Technology, China

Peng Wang is a Lecturer at the School of Mining and Coal Engineering, Inner Mongolia University of Science and Technology. His research primarily focuses on mine safety, coal spontaneous combustion mechanisms, and numerical simulation techniques. With a strong academic background, he has led innovative studies on coal gangue heap oxidation and spontaneous combustion hazard zones, contributing significantly to the field of mining safety. Over the past three years, he has published 9 academic papers as first or corresponding author, with 7 indexed in SCI/EI journals. He has successfully led two research projects, including the prestigious Inner Mongolia Autonomous Region Doctoral Research Innovation Grant. Additionally, he has played a key role as a technical lead in three industry projects. His contributions to coal safety and emergency management were recognized in 2024 when he was awarded the First Prize for Outstanding Paper at the Safety and Emergency Management Talent Development Conference.

Professional Profile :         

Orcid

Scopus 

Summary of Suitability for Award:

Peng Wang is a highly qualified candidate for the “Best Researcher Award” due to his significant contributions to coal spontaneous combustion mechanisms and mine safety. With over 15 research publications, including 7 SCI/EI-indexed papers as the first or corresponding author, he has demonstrated strong research expertise. He has successfully led two research projects, including the Inner Mongolia Autonomous Region Doctoral Research Innovation Grant, and has been a technical lead in three major projects. His interdisciplinary work, combining numerical simulation and experimental analysis, provides groundbreaking insights into fire prevention in mining. His contributions have been recognized with the First Prize for Outstanding Paper at the Safety and Emergency Management Talent Development Conference (2024). Considering Peng Wang’s research impact, publications, awards, and leadership in industry collaborations, he is a highly suitable candidate for the “Best Researcher Award” in the field of Mine Safety and Coal Combustion Prevention.

🎓Education:

Peng Wang holds a strong academic background in mining and coal engineering. He completed his doctoral studies in mine safety, focusing on the spontaneous combustion of coal gangue heaps and numerical simulations for risk mitigation. His research has been instrumental in developing new strategies for preventing coal-related hazards in dry and windy mining regions. His Ph.D. research was supported by the Inner Mongolia Autonomous Region Doctoral Research Innovation Grant, highlighting its significance in industrial safety applications. He pursued his graduate and undergraduate studies in mining engineering, equipping himself with deep technical expertise in coal combustion mechanisms and mineral-reagent interactions. His educational journey has laid a robust foundation for his research contributions in spontaneous combustion safety, mine ventilation, and fire prevention strategies. Through continuous academic pursuits, he has built a strong profile in applied mining safety and innovative coal research.

🏢Work Experience:

Peng Wang has extensive experience in the field of mining safety and coal combustion research. As a Lecturer at Inner Mongolia University of Science and Technology, he has been actively involved in both academic and industry projects. Over the years, he has led two major research projects, including one funded by the Inner Mongolia Autonomous Region. Additionally, he has contributed as a technical lead to three large-scale industry projects focused on mine safety and fire prevention. His expertise extends to numerical simulation methods, allowing him to model coal oxidation processes and spontaneous combustion risks effectively. His contributions as a member of the China Coal Society further demonstrate his active engagement in scientific communities. With a strong research output of 15 journal papers and participation in key national projects, he continues to advance the safety protocols and preventive measures in coal mining operations.

🏅Awards: 

Peng Wang has received several prestigious recognitions for his outstanding contributions to mining safety and coal spontaneous combustion research. In 2024, he was awarded the First Prize for Outstanding Paper at the Safety and Emergency Management Talent Development Conference for his significant work on coal gangue spontaneous combustion mechanisms. His research excellence was also acknowledged through the Inner Mongolia Autonomous Region Doctoral Research Innovation Grant, which supported his pioneering studies in mine fire prevention. As a major contributor to the National Natural Science Foundation of China, he has played a crucial role in advancing coal safety research at the national level. Additionally, he has served as a technical lead in three large-scale industry projects, focusing on risk mitigation in coal mining operations. His active membership in the China Coal Society further highlights his professional engagement in developing innovative strategies for fire prevention and mine safety improvements.

🔬Research Focus:

Peng Wang specializes in mine safety, with a strong emphasis on preventing coal spontaneous combustion and improving fire mitigation strategies. His research has led to groundbreaking studies on the oxidation and air seepage properties of coal gangue heaps, crucial for determining spontaneous combustion hazard zones. By integrating numerical simulation techniques, he has developed models that predict and control combustion risks in coal mines. His interdisciplinary approach combines thermodynamics, fluid mechanics, and chemistry to enhance the understanding of coal oxidation dynamics. His findings offer theoretical and practical solutions for mining operations in dry and windy regions, ensuring improved safety measures. With a strong commitment to industrial application, his work has influenced national policies on coal safety, and his collaborations with the National Natural Science Foundation of China have strengthened research advancements in the field. His studies continue to play a vital role in reducing environmental hazards and ensuring mine worker safety.

Publication Top Notes:

A study on the thermal behavior of coal gangue mountains under airflow influence based on MD and CFD simulations​

New Insights into the Depressive Mechanism of Sodium Silicate on Bastnaesite, Parisite, and Fluorite: Experimental and DFT Study

Study on the air permeability characteristics of coal gangue dump slope gangue particles​

Study on the variability of oxygen adsorption behavior in coal gangue based on pore size structure​

Analysis of failure mode and deformation evolution characteristics of slopes under the influence of highwall mining​

Experimental study and molecular simulation of spontaneous combustion of coal gangue by oxidation under different water contents​

Study on adsorption-diffusion-seepage behavior of oxygen in coal gangue under the coupling of temperature and pressure​

Study on the Law of Repeated Mining Strata Movement and Surface Subsidence in Close Distance Coal Seam​

Synergistic Adsorption and Molecular Arrangement of Mixed Surfactants at the Air/Water Interface​

DFT Calculation of BHA and SHA and Its Flotation Performance on Bastnaesite

Flotation effect and quantum chemical calculation of octyl hydroxamic acid and sodium silicate on bastnaesite and fluorite

Depression behavior and mechanism of sodium silicate on bastnaesite and parisite flotation

DFT calculation of octyl hydroxamic acid and oleic acid and their flotation performance comparison on bastnasite and fluorite

Mechanism of sodium sulfide on flotation of cyanide-depressed pyrite