SOBUJ HASAN | Engineering | Innovative Research Award

Innovative Research Award

SOBUJ HASAN
Affiliation China University of Mining and Technology
Country Bangladesh
Scopus Id 60008131400
Documents 3
Citations 20
h-index 1
Subject Area Engineering
Event International PopularScientist Awards
Orcid 0009-0001-0165-5629

SOBUJ HASAN
China University of Mining and Technology

SOBUJ HASAN is an engineering researcher affiliated with China University of Mining and Technology and associated with research indexed in Scopus. The available bibliographic record indicates a research profile comprising three documents, 20 citations and an h-index of 1. The profile is considered in the context of the Innovative Research Award presented through the International PopularScientist Awards. The available publication information also demonstrates the importance of examining authorship, subject relevance and bibliographic attribution carefully when assessing an individual research profile.

Abstract

This academic recognition profile presents the available bibliographic and research information associated with SOBUJ HASAN, an engineering researcher affiliated with China University of Mining and Technology. The Scopus information supplied for the profile records three documents, 20 citations and an h-index of 1. These indicators provide a quantitative snapshot of indexed research activity but should be interpreted together with publication relevance, authorship contribution, scholarly quality and research context. The profile is prepared in relation to consideration for the Innovative Research Award under the International PopularScientist Awards. Scopus provides bibliographic and citation information that can support systematic assessment of research activity and scholarly visibility.[1]

Keywords

  • Innovative Research Award
  • SOBUJ HASAN
  • Engineering Research
  • China University of Mining and Technology
  • Scopus Research Profile

Introduction

Researcher recognition commonly combines quantitative bibliometric indicators with qualitative consideration of scholarly contributions. Citation counts, publication records and h-index values can provide useful evidence of research visibility, while individual publications and their subject context provide additional information about the nature of a researcher’s work.[1] For an award-oriented assessment, bibliographic data should therefore be considered as one component of a broader evaluation rather than as an isolated measure of research quality.

Research Profile

The supplied bibliometric profile records three documents, 20 citations and an h-index of 1. The document count represents the indexed output reported in the supplied profile, while the citation count indicates the number of recorded citations associated with that profile at the stated point of reference. The h-index of 1 indicates that at least one indexed publication has received at least one citation under the underlying bibliometric calculation.

Research Contributions

The supplied publication records illustrate research activity spanning biomedical materials, clinical treatment procedures, laser-based applications and nanomaterial synthesis. The records include work on methacrylate-based hydrogel tissue expanders, treatment procedures for infantile hemangiomas, laser treatment of pain, up-converting YF3:YbEr nanocrystals, and the use of fractional carbon dioxide laser treatment in combination with photodynamic therapy for nodular basal cell carcinoma.[2][3][4][5]

Publications

The following publications are included in the supplied Scopus-derived material. The list is presented as bibliographic evidence associated with the research-profile material and should not be interpreted as confirmation that every listed contributor is identical to the award nominee without independent author-profile verification.

  1. Hydrogel tissue expanders for stomatology. Part I. Methacrylate-based polymers. Journal of Materials Science: Materials in Medicine, 2017. DOI:
  2. Infantile hemangiomas. Current treatment procedures | Infantilní hemangiomas. Současné tělečné protředky. Czech-Slovak Pediatrics, 2017. EID: 2-s2.0-85027991512. Contributors include Malis, J.; Stara, V.; Blahova, K.; Bučkova, H.; Faberova, R.; Šterba, J.; Klovrzova, S.; Kynčl, M.; Černy, M.; Hrdlička, R. et al.[3]
  3. Direct and indirect treatment of pain with lasers – Update 2016. Disease, 2016. EID: 2-s2.0-84992323214. Contributors: Šmucler, R.; Jenčová, J.[4]
  4. Large scale preparation of up-converting YF3:YbEr nanocrystals with various sizes by solvothermal syntheses using ionic liquid bmimCl. Journal of Fluorine Chemistry, 2016.[5]
  5. Fractional carbon dioxide laser improves nodular basal cell carcinoma treatment with photodynamic therapy with methyl 5-aminolevulinate. Dermatologic Surgery, 2013.

Research Impact

The supplied profile reports 20 citations across three documents, indicating measurable bibliographic visibility within the underlying citation database. The h-index of 1 provides an additional, complementary indicator of citation distribution. Citation metrics, however, are influenced by field, publication age, database coverage, collaboration patterns and citation practices, and therefore require contextual interpretation rather than being treated as direct measures of research quality.

Award Suitability

Based on the supplied information, SOBUJ HASAN has an identifiable scholarly profile in Engineering, supported by a Scopus author identifier, an ORCID identifier, three reported documents, 20 citations and an h-index of 1. These indicators provide a documented basis for consideration within an academic recognition process. The Innovative Research Award assessment should additionally consider originality, methodological contribution, relevance to engineering, quality of venues, research collaboration, practical significance and the nominee’s specific contribution to the publications.

Conclusion

SOBUJ HASAN is presented in the supplied material as an Engineering researcher affiliated with China University of Mining and Technology. The reported Scopus profile contains three documents, 20 citations and an h-index of 1. The accompanying publication records demonstrate research activity across several scientific and applied domains. Together, these data provide a concise foundation for academic recognition, while emphasizing the need for author-level verification and qualitative assessment when determining suitability for the Innovative Research Award.

References

  1. Elsevier. (n.d.). Scopus author details: SOBUJ HASAN, Author ID 60008131400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=60008131400
  2. 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.
    10.1007/s10856-016-5818-y
  3. 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.
    10.1016/j.jfluchem.2016.05.015
  4. 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.
    10.1111/dsu.12242
  5. 5.International PopularScientist Awards. (n.d.). International PopularScientist Awards.
    https://popularscientist.com

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/