Hussam Noor | Engineering | Best Academic Researcher Award

Best Academic Researcher Award

Hussam Noor
Taibah University, Saudi Arabia

Hussam Noor
Affiliation Taibah University
Country Saudi Arabia
Scopus ID 57211204364
Documents 13
Citations 11
h-index 2
Subject Area Engineering
Event International PopularScientist Awards
ORCID 0000-0002-4223-9699

Hussam Noor is an academic researcher affiliated with Taibah University, Saudi Arabia, whose supplied research profile is associated with the Engineering subject area. The profile provided for this recognition page records 13 documents, 11 citations, and an h-index of 2 in Scopus. These indicators provide a bibliometric snapshot of research activity and scholarly visibility and should be interpreted in conjunction with publication quality, research contribution, collaboration, and relevance to the research field. [1]

Abstract

The Best Academic Researcher Award profile presents a structured overview of Hussam Noor’s supplied academic and bibliometric information. The researcher is affiliated with Taibah University in Saudi Arabia and is identified under the Engineering subject area. The available profile records 13 documents, 11 citations, and an h-index of 2. [1] The assessment context considers publication activity, scholarly visibility, research relevance, and documented academic contributions while recognizing that bibliometric indicators represent only selected dimensions of research performance.

Keywords

Hussam Noor; Best Academic Researcher Award; Taibah University; Engineering; academic research; scholarly publications; research impact; bibliometrics; Scopus; citations; h-index; International PopularScientist Awards.

Introduction

Academic researcher recognition commonly considers a combination of scholarly productivity, research contribution, visibility, and disciplinary relevance. Bibliometric information such as publication counts, citation counts, and h-index values can provide quantitative context for examining a research profile, although these measures vary substantially between disciplines and publication environments. [2]

Research Profile

The supplied Scopus profile information indicates a research record comprising 13 documents, 11 citations, and an h-index of 2. [1] These values describe the bibliometric record supplied for the researcher and should be understood as profile-level indicators rather than a complete assessment of academic quality.The profile also supplies an ORCID identifier, which provides a persistent researcher identifier intended to distinguish researchers and connect their scholarly activities across systems. [3]

Research Contributions

The supplied publication records cover several research themes, including biomedical materials, therapeutic technologies, laser-based treatment, nanomaterials, and photodynamic approaches. The records demonstrate interdisciplinary subject matter spanning materials science, medicine, dentistry-related applications, dermatology, chemistry, and laser technology. However, the available excerpts do not provide sufficient evidence to establish that every listed publication was authored by Hussam Noor. Accordingly, these records are retained as supplied bibliographic evidence and are not used to infer individual authorship.

Publications

The following bibliographic records were supplied for inclusion in this academic profile. They are reproduced as source records and are not presented as verified publications of Hussam Noor where the supplied contributor information does not establish that connection.“`

    1. Infantile hemangiomas. Current treatment procedures | Infantilní hemangiomas. Současné tělečné protředky.Czech-Slovak Pediatrics, 2017. Journal article.EID: 2-s2.0-85027991512Contributors: Malis, J.; Stara, V.; Blahova, K.; Bučkova, H.; Faberova, R.; Šterba, J.; Klovrzova, S.; Kynčl, M.; Černy, M.; Hrdlička, R. et al.Source: Roman Smucler via Scopus – Elsevier.
    2. Direct and indirect treatment of pain with lasers – Update 2016 | Direct and indirect treatment of pain with lasers – Update 2016.Disease, 2016. Journal article.EID: 2-s2.0-84992323214Contributors: Šmucler, R.; Jenčová, J.Source: Roman Smucler via Scopus – Elsevier.
    3. Large scale preparation of up-converting YF3:YbEr nanocrystals with various sizes by solvothermal syntheses using ionic liquid bmimCl.Journal of Fluorine Chemistry, 2016. Journal article.

Research Impact

The supplied bibliometric profile records 11 citations and an h-index of 2 across 13 documents. [1] Citation counts provide one measurable indication of scholarly visibility, while the h-index combines publication and citation information into a single metric. Such indicators are influenced by discipline, publication age, citation practices, collaboration patterns, and database coverage, and therefore should not be treated as a standalone measure of research quality. [2][4] [7] [8]

Award Suitability

The supplied profile contains several elements relevant to an academic recognition record, including an identifiable institutional affiliation, a Scopus author identifier, publication and citation indicators, an h-index, an Engineering subject classification, and an ORCID identifier. [1] [3]Within the context of the Best Academic Researcher Award, these documented elements can form part of a broader academic review. A complete evaluation should also consider the authenticity and attribution of publications, originality of research, methodological quality, relevance to the discipline, collaboration, scholarly contribution, and evidence of sustained research activity.

Conclusion

Hussam Noor’s supplied academic profile identifies Taibah University, Saudi Arabia, as the institutional affiliation and Engineering as the subject area. The supplied Scopus indicators record 13 documents, 11 citations, and an h-index of 2. [1] The profile also includes an ORCID identifier, providing an additional mechanism for researcher identification. [3]

References

    1. Elsevier. (n.d.). Scopus author details: Hussam Noor, Author ID 57211204364. Scopus.
      https://www.scopus.com/authid/detail.uri?authorId=57211204364
    2. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572.
      https://doi.org/10.1073/pnas.0507655102
    3. ORCID. (n.d.). ORCID record: 0000-0002-4223-9699.
      https://orcid.org/0000-0002-4223-9699
    4. Hrib, J., Sirc, J., Lesny, P., Hobzova, R., Duskova-Smrckova, M., Michalek, J., & Smucler, R. (2017). Hydrogel tissue expanders for stomatology. Part I. Methacrylate-based polymers. Journal of Materials Science: Materials in Medicine.
      https://doi.org/10.1007/s10856-016-5818-y
    5. Bartůněk, V., Rak, J., Pelánková, B., Junková, J., Mezlíková, M., Král, V., Kuchař, M., Engstová, H., Ježek, P., & Šmucler, R. (2016). Large scale preparation of up-converting YF3:YbEr nanocrystals with various sizes by solvothermal syntheses using ionic liquid bmimCl. Journal of Fluorine Chemistry.
      https://doi.org/10.1016/j.jfluchem.2016.05.015
    6. Lippert, J., Šmucler, R., & Vlk, M. (2013). Fractional carbon dioxide laser improves nodular basal cell carcinoma treatment with photodynamic therapy with methyl 5-aminolevulinate. Dermatologic Surgery.
      https://doi.org/10.1111/dsu.12242

 

Niyi Babatunde Ishola | Chemical Engineering| Best Researcher Award

Dr. Niyi Babatunde Ishola | Chemical Engineering | Best Researcher Award

Borealis Polymer Oy | Finland

Professional Profile

Early Academic Pursuits

Niyi Babatunde Ishola commenced his academic journey with a Bachelor of Technology in Chemical Engineering from Ladoke Akintola University of Technology (LAUTECH), Ogbomoso, Nigeria, in 2011. Building upon this foundation, he pursued a Master of Science in Chemical Engineering at Obafemi Awolowo University (OAU), Ife, Nigeria, completing it in 2016. Subsequently, he ventured into doctoral studies at Universite de Lyon1, Lyon, France, achieving a Ph.D. in Process Engineering in 2022.

Professional Endeavors

His professional trajectory encompasses diverse roles across international borders. Notably, at Borealis Polymers Oy, Finland, he contributed significantly to research and development, focusing on olefin polymerization catalysts, bench-scale polymerization behavior, and catalyst performance evaluation. Concurrently, as a Doctoral Researcher at CP2M Laboratory, CPE, Lyon, France, he delved into extensive research involving gas phase ethylene polymerization, catalyst synthesis, sorption experiments, and high-throughput reactor studies. Furthermore, Ishola has served as a Graduate Teaching Assistant at the Chemical Engineering Department of OAU, Nigeria. In this capacity, he mentored students, assisted in tutorials, and explored biodiesel synthesis and catalyst production methodologies.

Contributions and Research Focus

Hisresearch contributions are prolific and multidimensional, spanning numerous publications across esteemed journals. His research primarily revolves around process engineering, polymerization kinetics, catalyst development, biodiesel synthesis, sorption experiments, and modeling techniques. Notably, he has investigated the application of machine learning, genetic neuro-computing models, and artificial intelligence for insights into various industrial processes such as membrane performance, biodiesel production, and pollutant degradation. His expertise encompasses diverse methodologies, including Design of Experiment, Response Surface Methodology, Neural Networks, and Adaptive Neuro-Fuzzy Inference Systems, applied in optimizing and modeling chemical processes.

Accolades and Recognition

Ishola's dedication and scholarly prowess have earned him prestigious scholarships, including the Petroleum Technology Development Fund (Nigeria) scholarship in collaboration with Ministere Affaires Estrangeres (France), along with the NRF-TWAS African Renaissance Doctoral Scholarship at the University of Pretoria, South Africa.

Impact and Influence

Through his extensive research and scholarly publications, Niyi Babatunde Ishola has significantly contributed to the field of chemical engineering, particularly in polymerization kinetics, catalyst development, and alternative energy sources such as biodiesel production. His utilization of advanced modeling techniques and innovative methodologies has widened the horizons of process engineering and sustainability studies.

Legacy and Future Contributions

As a researcher and educator, Ishola leaves a legacy of rigorous scientific inquiry, innovative problem-solving, and multidisciplinary exploration. His commitment to advancing the frontiers of chemical engineering and sustainability science is evident through his prolific publications and ongoing contributions to academia. His future endeavors are anticipated to continue shaping the field through cutting-edge research, mentorship, and scholarly contributions.

 

Citations

A total of  103 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations            516
  • h-index               8
  • i10-index            8

Notable Publications 

E Betiku, VO Odude, NB Ishola, A Bamimore, AS Osunleke, AA Okeleye
(135 ) 2016
Development of a Novel Mesoporous Biocatalyst Derived from Kola Nut Pod Husk for Conversion of Kariya Seed Oil to Methyl Esters: A Case of Synthesis …
E Betiku, AA Okeleye, NB Ishola, AS Osunleke, TV Ojumu
( 81) 2019Application of agricultural waste-based catalysts to transesterification of esterified palm kernel oil into biodiesel: A case of banana fruit peel versus cocoa pod husk
VO Odude, AJ Adesina, OO Oyetunde, OO Adeyemi, NB Ishola, AO Etim, ...
( 75) 2019

Performance evaluation of adaptive neuro-fuzzy inference system, artificial neural network and response surface methodology in modeling biodiesel synthesis from palm kernel oil …
E Betiku, AS Osunleke, VO Odude, A Bamimore, B Oladipo, AA Okeleye, ...
( 56 ) 2021

Process modeling and optimization of sorrel biodiesel synthesis using barium hydroxide as a base heterogeneous catalyst: appraisal of response surface methodology, neural …
NB Ishola, AA Okeleye, AS Osunleke, E Betiku
( 43 ) 2019

Optimization of sorrel oil biodiesel production by base heterogeneous catalyst from kola nut pod husk: Neural intelligence‐genetic algorithm versus neuro‐fuzzy‐genetic algorithm
E Betiku, NB Ishola
( 32 ) 2020

Modelling of synthesis of waste cooking oil methyl esters by artificial neural network and response surface methodology
AR Soji-Adekunle, AA Asere, NB Ishola, IM Oloko-Oba, E Betiku
( 30 ) 2019

Adaptive neuro-fuzzy inference system-genetic algorithm vs. response surface methodology: A case of optimization of ferric sulfate-catalyzed esterification of palm kernel oil
NB Ishola, OO Adeyemi, AJ Adesina, VO Odude, OO Oyetunde, ...
( 29 ) 2017

Crude rubber seed oil esterification using a solid catalyst: Optimization by hybrid adaptive neuro-fuzzy inference system and response surface methodology
CF Jisieike, NB Ishola, LM Latinwo, E Betiku
( 7 ) 2023

AS Yusuff, NB Ishola, AO Gbadamosi, KA Thompson-Yusuff
( 7 ) 2022