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

 

Jaydevsinh Zala | Engineering | Best Researcher Award

Best Researcher Award

Jaydevsinh Zala
Parul University, India

Jaydevsinh Zala
Affiliation Parul University
Country India
Documents 2
Subject Area Engineering
Event International Popular Scientist Awards
ORCID 0009-0009-9225-7789

Jaydevsinh Zala is an engineering researcher affiliated with Parul University in India. The research record supplied for this academic recognition profile comprises two documented works addressing applied engineering and technology-oriented problems, including an artificial-intelligence-based smart-city hygiene enforcement system and an electronics prototyping workstation. The available record indicates an interdisciplinary interest in artificial intelligence, computer vision, facial recognition, electronics, and practical technology development. [1] [2]

Abstract

This academic recognition profile examines the research activities of Jaydevsinh Zala in the field of Engineering. The supplied record contains two works. The first, AI-Integrated Spitting Detection System for Smart City Hygiene Enforcement Using YOLOv11 and Facial Recognition, describes an artificial intelligence-oriented approach to smart-city hygiene enforcement using computer vision and facial recognition technologies. The work is identified as unpublished and dated 2 August 2026, with a DOI registered through ResearchGate. [1] The second work, AI Integrated Electronics Prototyping Workstation, is identified as a journal article dated 20 April 2025 and is attributed to Jaydevsinh Zala. [2]

Keywords

Jaydevsinh Zala; Engineering; Artificial Intelligence; Computer Vision; YOLOv11; Facial Recognition; Smart City Technology; Hygiene Enforcement; Electronics Prototyping; Research Innovation.

Introduction

Engineering research increasingly combines computational intelligence with physical and digital systems to address practical problems. Artificial intelligence and computer vision can support automated interpretation of visual information, while electronics prototyping environments can facilitate the development and testing of technology systems. Zala’s available research record reflects these two complementary areas, with one work focused on AI-enabled smart-city hygiene enforcement and another concerned with an integrated electronics prototyping workstation. [1] [2]

Research Profile

Jaydevsinh Zala is affiliated with Parul University and works within the broad subject area of Engineering. The supplied publication record contains two documents. One research work applies YOLOv11 and facial recognition to a proposed smart-city hygiene enforcement application, while the other concerns an AI-integrated electronics prototyping workstation. [1] [2]

Research Contributions

The documented works indicate contributions in two principal areas:

  • Application of artificial intelligence and computer vision to a proposed smart-city hygiene enforcement scenario, incorporating YOLOv11 and facial recognition technologies. [1]
  • Development-oriented work concerning an AI-integrated electronics prototyping workstation, reflecting an interest in engineering experimentation and technology prototyping. [2]

Publications

The first work identifies a specific DOI and combines machine-learning-based object detection with facial recognition for a smart-city application. [1] The second listed work addresses electronics prototyping through an AI-integrated workstation concept. [2]

Research Impact

The available information does not provide verified citation counts, h-index data, downloads, or independent measures of research influence. Therefore, quantitative scholarly impact cannot be established from the supplied record alone. The documented topics nevertheless address practical engineering applications, particularly the use of artificial intelligence and computer vision in smart-city environments and the integration of AI into electronics prototyping. [1] [2]

Award Suitability

The documented research topics are relevant to an engineering-focused academic recognition profile because they involve applied artificial intelligence, computer vision, smart-city technology, and electronics prototyping. The first work addresses an application involving automated detection and recognition, while the second focuses on an engineering workstation for electronics prototyping. [1] [2]

Conclusion

Jaydevsinh Zala’s supplied research record represents an engineering-oriented portfolio involving artificial intelligence, computer vision, smart-city applications, and electronics prototyping. Two documented works form the basis of this profile, including a 2026 work on YOLOv11 and facial recognition for smart-city hygiene enforcement and a 2025 work on an AI-integrated electronics prototyping workstation. [1] [2] Further bibliometric and independent research evidence would be required for a more comprehensive assessment of scholarly impact.

References

  1. Zala, J. (2026). AI-Integrated Spitting Detection System for Smart City Hygiene Enforcement Using YOLOv11 and Facial Recognition. Unpublished journal article.
    https://doi.org/10.13140/RG.2.2.32954.35528
  2. Zala, J. (2025). AI Integrated Electronics Prototyping Workstation. Journal article. Research record supplied for academic recognition profile.
  3. ORCID. (n.d.). ORCID record for Jaydevsinh Zala.
    https://orcid.org/0009-0009-9225-7789
  4. International Popular Scientist Awards. (n.d.). Award Website.
    https://popularscientist.com/

ABDUL SAMI | Engineering | Best Researcher Award

Mr. ABDUL SAMI | Engineering | Best Researcher Award

Lecturer Numl University Hyderabad Pakistan

Engr. Abdul Sami Shaikh is a seasoned software engineering professional with a diverse portfolio in academia, research, and freelancing. His career is marked by significant contributions to IT education, cutting-edge research, and innovative development practices. Based in Hyderabad, Sindh, Abdul Sami is driven by a passion for leveraging technology to address real-world challenges and enhance learning.

Profile

Orcid

Education 🎓

Abdul Sami Shaikh has a strong academic foundation with a Master of Engineering in Information and Communication Engineering from Harbin Engineering University, China (2013-2016), achieving an impressive 3.77 CGPA. His undergraduate degree in Computer System Engineering from Mehran University of Engineering and Technology, Jamshoro (2005-2009), laid the groundwork for his technical expertise. Earlier, he pursued Pre-Engineering at Govt. Boys Degree College, Qasimabad, Hyderabad, and completed his schooling at the Model School of Sindh University.

Experience 💼

Abdul Sami has an extensive teaching and research background, having served as a lecturer at Isra University, National University of Modern Languages (NUML), and other prestigious institutions. His professional journey includes roles such as Research Associate at Mehran UET, Program Coordinator for the National Freelance Training Program, and editorial assistant for the Mehran UET Research Journal. He also gained valuable industrial experience through internships with organizations like Sui Southern Gas Company and Microsoft.

Research Interests 🔬

His research focuses on machine learning, data visualization, deep learning, and their applications in healthcare and cybersecurity. He has explored innovative solutions in image analysis, mobile app automation for Industry 4.0, and advanced threat detection systems. Abdul Sami also delves into challenges in spatial crowdsourcing and IoT-based systems.

Awards and Recognitions 🏆

While Abdul Sami has not listed specific awards, his academic and professional milestones, coupled with his impactful publications, position him as a strong candidate for recognition in research and innovation.

Publications Top Notes: 📚

Acoustic Propagation and Transmission Loss Analysis in Shallow Water

Automated Classification of Pneumonia from Chest X-Ray Images using EfficientNet-B0