Parveen Khatoon | Mathematics | Women Researcher Award

Women Researcher Award

Parveen Khatoon
National Institute of Technology Silchar

Parveen Khatoon
Affiliation National Institute of Technology Silchar
Country India
Subject area Mathematics
Event International Invention Awards
ORCID 0009-0007-9557-4515

Parveen Khatoon is identified in the supplied researcher information as being affiliated with the National Institute of Technology Silchar (NIT Silchar), India, with mathematics listed as the subject area. The provided bibliographic details report one Scopus-indexed document and nine works, although the coverage and source of the broader works count have not been independently established. Her researcher profile can be examined through the supplied Scopus author record and ORCID identifier. Any assessment for the Best Researcher Award should consider verified research contributions, methodological quality, originality, and relevance alongside available bibliometric indicators. [1] [2]

Abstract

This article presents a bibliographic overview of Parveen Khatoon, a researcher affiliated with the National Institute of Technology Silchar in India whose reported subject area is mathematics. The supplied profile identifies a Scopus author record and an ORCID identifier, providing routes for examining research outputs and author identity. Available information reports one Scopus document and nine works, but does not establish the complete publication history, citation count, or h-index. The profile is considered in relation to the Best Researcher Award associated with the International Invention Awards. A balanced evaluation should examine verified publications, originality, methodological rigor, research contribution, and documented scholarly impact. [1]

Keywords

Parveen Khatoon; Best Researcher Award; mathematics; NIT Silchar; mathematical research; scholarly publications; research evaluation; bibliometrics; academic recognition; ORCID; Scopus author profile; research impact; scientific contributions; International Invention Awards.[2]

Introduction

Mathematical research supports advances in theoretical understanding, quantitative analysis, computation, modelling, and applications across scientific disciplines. Evaluating researchers in mathematics requires attention to the substance of their work, the problems addressed, the validity of methods, and the influence of their findings. Bibliographic databases and persistent researcher identifiers can assist in locating publications and distinguishing authors with similar names, although their records may differ in coverage and completeness. [1] [2] This article summarizes the supplied information for Parveen Khatoon without treating unverified details as established achievements or implying that an award has already been conferred.

Research Profile

The supplied profile associates Parveen Khatoon with the National Institute of Technology Silchar and identifies India as her country of affiliation. Mathematics is the listed subject area. Her Scopus author identifier is provided as 60962590500, while her ORCID identifier is 0009-0007-9557-4515. These identifiers can support bibliographic verification and help researchers examine publication records across platforms. Institutional affiliation, author identity, and subject classification should be confirmed against current official records before publication or formal award assessment. [1] [2]

Research Contributions

A rigorous account of an individual researcher’s contributions should describe identifiable mathematical problems, original results, analytical or computational methods, and the relevance of published findings. The information supplied for this profile does not specify particular theorems, research topics, co-authored studies, or practical applications attributable to Parveen Khatoon. Consequently, no specific discovery or research achievement can be reliably assigned here. A complete assessment should examine the full texts of relevant publications, clarify authorship and contribution, and evaluate the validity and significance of the results within the appropriate mathematical field.[2]

Publications

The supplied bibliographic summary reports one document in Scopus and nine works overall. These figures are presented as supplied information rather than independently verified publication totals. The term โ€œworksโ€ may refer to records across a broader set of sources and should not automatically be interpreted as nine peer-reviewed journal articles. Publication titles, co-authors, dates, document types, and persistent identifiers should be checked in the Scopus author record, ORCID record, and relevant publisher pages. Duplicate entries, author-name variations, and differences in database indexing should be resolved before a definitive publication list is prepared. [1] [2]

Research Impact

Research impact may be examined through citation activity, use of findings by other scholars, methodological influence, reproducibility, and contributions to subsequent theoretical or applied work. Citation counts and the h-index can provide limited quantitative context, but they do not independently measure originality, correctness, or broader significance. Standard bibliometric literature emphasizes that indicators should be interpreted in context and combined with qualitative expert judgment. [3] [4] Citation totals and h-index values for this profile have not been supplied, so no numerical impact assessment or comparative ranking is made.

Award Suitability

The Best Researcher Award associated with the International Invention Awards may be considered in relation to documented scholarly output, originality, research quality, professional integrity, and demonstrable contribution to the relevant field. For a mathematics researcher, appropriate evidence could include peer-reviewed publications, validated theoretical results, meaningful collaboration, reproducibility where applicable, and recognition by independent scholarly communities. The supplied identifiers and publication summary provide a preliminary starting point for review, not a final judgment of eligibility or merit. Any award decision should follow the organizer’s published criteria, independent verification, and a consistent evaluation process. This profile does not establish that Parveen Khatoon has received the award.[2]

Conclusion

Parveen Khatoon’s supplied profile identifies an affiliation with NIT Silchar in India, mathematics as the subject area, and corresponding Scopus and ORCID identifiers. The reported document and works counts offer a preliminary bibliographic snapshot, while citation metrics and detailed research contributions remain unverified in the available information. A balanced assessment for the Best Researcher Award should prioritize verified publications, originality, methodological rigor, and independently documented impact rather than relying on publication counts alone. Updating the profile against authoritative academic records would improve its completeness, accuracy, and suitability for formal scholarly recognition.[3]

References

  1. ORCID. (n.d.). ORCID record: 0009-0007-9557-4515.
    https://orcid.org/0009-0007-9557-4515
  2. Journal article (2026.) Neural network-based analysis of biconvective electromagnetohydrodynamic diamond-infused micropolar nanofluid flow in a ciliated channel: Effects of nanoparticle aggregation and microorganisms.
    https://doi.org/10.1016/j.diamond.2026.114221
  3. Cogniverse Press. (2026.) Cilia-Inspired Slip Control for Targeted Nanodrug Delivery in Channels.
    https://doi.org/10.5281/zenodo.21948899
  4. Cogniverse Press. (2026.) Machine-Learning Surrogates for Nanodrug Wall Targeting in Cilia-Inspired Channels.
    https://doi.org/10.5281/zenodo.21947212
  5. International Invention Awards. (2026.). Official award website.
    https://inventionawards.org/

Mr. Chibuzo Nwabufo Okwuosa | Fault Detection | Best Researcher Award

Mr. Chibuzo Nwabufo Okwuosa | Fault Detection | Best Researcher Award

Kumoh National Institute of Technology, South Korea.

Okwuosa Chibuzo Nwabufo is a Research Ph.D. Scholar at Kumoh National Institute of Technology ๐Ÿ‡ฐ๐Ÿ‡ท, South Korea, specializing in Mechanical Engineering. With a strong foundation in machine learning, deep learning, and real-time fault diagnostics, his work emphasizes bridging theoretical innovation with industrial application. Chibuzo is passionate about Prognostics and Health Management (PHM), Explainable AI (XAI), and digital twin technologies, aiming to create smart, AI-driven maintenance systems for next-generation industries.

Profile

Scopus
Orcid
Google Scholar

๐ŸŽ“ Education

Chibuzo earned both his Masterโ€™s and is currently pursuing his Ph.D. in Mechanical Engineering from Kumoh National Institute of Technology, South Korea. His academic focus has been consistently rooted in intelligent fault diagnostics, predictive maintenance, and real-time monitoring technologies.

๐Ÿ’ผ Experience

With over four completed and two ongoing research projects, Chibuzo has hands-on experience in both academia and industry. Notable projects include real-time diagnostics for diaphragm pumps, fault analysis in induction motors, and zinc phosphating coating processes. He has collaborated on industry-sponsored projects and led initiatives involving advanced data-driven solutions for predictive maintenance.

๐Ÿ”ฌ Research Interests

His key research domains include:

๐Ÿ”ง Prognostics and Health Management (PHM)

๐Ÿค– Machine Learning & Deep Learning

๐Ÿง  Explainable AI (XAI)

๐ŸŒ Digital Twin Technologies

โš™๏ธ Real-time Fault Diagnostics

๐Ÿ† Awards & Grants

Chibuzoโ€™s research has been supported by prestigious Korean government grants:

IITP Innovative Human Resource Development for Local Intellectualization

ITRC Program (MSIT, Korea)
These grants facilitated collaborations with industry leaders and funded cutting-edge research in diagnostics and manufacturing innovation.

๐Ÿ“š Selected Publications

๐Ÿ†• Optimizing Defect Detection on Glossy and Curved Surfaces Using Deep Learning and Advanced Imaging Systems

๐Ÿ“… 2025-04-13 | Sensors
๐Ÿ”— DOI: 10.3390/s25082449
๐Ÿ‘จโ€๐Ÿ”ฌ Contributors: Joung-Hwan Yoon, Chibuzo Nwabufo Okwuosa, Nnamdi Chukwunweike Aronwora, Jang-Wook Hur
๐Ÿ“Œ Application of deep learning and high-resolution imaging for defect detection on challenging industrial surfaces.


โš™๏ธ A Spectral-Based Blade Fault Detection in Shot Blast Machines with XGBoost and Feature Importance

๐Ÿ“… 2024-10-09 | Journal of Sensor and Actuator Networks
๐Ÿ”— DOI: 10.3390/jsan13050064
๐Ÿ‘จโ€๐Ÿ”ฌ Contributors: Joon-Hyuk Lee, Chibuzo Nwabufo Okwuosa, Baek Cheon Shin, Jang-Wook Hur
๐Ÿ“Œ Fault detection in mechanical components using spectral features and XGBoost.


๐Ÿ” Transformer Core Fault Diagnosis via Current Signal Analysis with Pearson Correlation Feature Selection

๐Ÿ“… 2024-02-29 | Electronics
๐Ÿ”— DOI: 10.3390/electronics13050926
๐Ÿ‘จโ€๐Ÿ”ฌ Contributors: Daryl Domingo, Akeem Bayo Kareem, Chibuzo Nwabufo Okwuosa, Paul Michael Custodio, Jang-Wook Hur
๐Ÿ“Œ Intelligent transformer fault diagnosis using statistical signal analysis and feature engineering.


โšก Enhancing Transformer Core Fault Diagnosis and Classification through Hilbert Transform Analysis of Electric Current Signals

๐Ÿ“… 2024-01-18 | Preprint
๐Ÿ”— DOI: 10.20944/preprints202401.1371.v1
๐Ÿ‘จโ€๐Ÿ”ฌ Contributors: Daryl Domingo, Akeem Bayo Kareem, Chibuzo Nwabufo Okwuosa, Paul Michael Custodio, Jang-Wook Hur
๐Ÿ“Œ Preprint focusing on enhanced signal processing for electrical fault classification.


๐Ÿง  An Intelligent Hybrid Feature Selection Approach for SCIM Inter-Turn Fault Classification at Minor Load Conditions Using Supervised Learning

๐Ÿ“… 2023 | IEEE Access
๐Ÿ”— DOI: 10.1109/ACCESS.2023.3266865
๐Ÿ‘จโ€๐Ÿ”ฌ Contributors: Chibuzo Nwabufo Okwuosa, Jang-Wook Hur
๐Ÿ“Œ Machine learning-based fault classification in squirrel cage induction motors under low-load conditions.

 

 

 

Assoc. Prof. Dr. Vittoria Feola | Early Modern History | Best Researcher Award

Assoc. Prof. Dr. Vittoria Feola | Early Modern History | Best Researcher Award

University of Padua, Italy.

Vittoria Feola is an Associate Professor of Early Modern History at the University of Padova, Italy. She earned her PhD in History from Cambridge University (2005) and has held prestigious research fellowships, including the Wiener-Anspach and Francqui Postdoctoral Fellowship at the Universitรฉ Libre de Bruxelles and the Lise Meitner Senior Postdoc at the Medical University of Vienna. She has been a Senior Visiting Research Associate at Oxford University and a Guest Professor in Rome, among other international appointments. Feola's research explores intelligence, martyrdom, and religious networks in early modern Europe, particularly in the context of Anglo-Spanish relations and Elizabethan England.

Profile

Scopus
Orcid
Google Scholar

๐ŸŽ“ Education

Assoc. Prof. Dr. Vittoria Feola holds a PhD in History from Cambridge University (2005) and has been recognized for her academic excellence through the Cambridge European Trust Award (2000-2003). Her research has been supported by prestigious institutions, including the British Federation of Women Graduates and the Cambridge European Trust, reflecting her significant contributions to historical scholarship.

๐Ÿ› Experience

Assoc. Prof. Dr. Vittoria Feola is an Associate Professor of Early Modern History at the University of Padova (2015โ€“Present). She has also held prestigious academic positions, including Senior Visiting Research Associate at Oxford University (2014โ€“2017) and Lektorin in Early Modern History of Medicine at the Medical University of Vienna. Additionally, she has served as a Guest Professor at the Pontifical University St. Thomas in Rome and has been a Visiting Fellow at leading institutions such as Yale, Stanford, Toronto, and Cambridge, underscoring her extensive international research collaborations and expertise in early modern history.

๐Ÿ”ฌ Research Interests

Religious Intelligence and Martyrdom in Anglo-Spanish Relations (1550-1598)

Early Modern Universities and Scientific Networks

Alchemy, Medicine, and Religion in Early Modern England and Europe

Circulation of Knowledge and Printing Networks in the 16th-18th centuries

๐Ÿ† Awards & Honors

2023 Erasmus+ Grant, Teaching Stay at the University of Granada

2023 Book Publication Grant for Martyrdom, Intelligence, and National Identity in Anglo-Spanish Relations, 1550-1598

2022 MINI SID Seed Funding for โ€œSpies or Heretics?โ€ Project

2015 Gerda Henkel Co-Funding Grant for the Bartolomeo Gamba Project

2014 Vienna City Council Prize for organizing Scientiae Vienna 2014

2002 British Federation of Women Graduates Research Award

๐Ÿ“š Notable Publications

๐Ÿ“„ Feola, V. (2025). The uses of martyrdom works in Philip II's Spain and among Elizabethan English Catholics. Religion and Politics (forthcoming).


๐Ÿ“„ Feola, V. (2025). Jesuit intelligence about Elizabethan England. Society and Politics (forthcoming).


๐Ÿ“„ Feola, V. (2024). Autobiografia, cattolicesimo e sovranitร : il caso di Elias Ashmole (1617-1692). Civiltร  e Religioni, 10, 73-101.


๐Ÿ“„ Feola, V. (2021). Alchemy, medicine, and religion in Elias Ashmoleโ€™s Theatrum Chemicum Britannicum. Civiltร  e Religioni, VII, 87-122.


๐Ÿ“„ Feola, V. (2019). Talismans as automata: Jacques Gaffarelโ€™s Curiositez and the mechanisation of nature in 17th-century France. Society and Politics, 13(2), 61-86.


๐Ÿ“„ Feola, V. (2019). Early Modern Violence and Religion. The Sixteenth Century Journal, 50.