HERMIZI HAPIDIN | Health Sciences | Best Researcher Award

Best Researcher Award

Hermizi Hapidin
Universiti Sains Malaysia, Malaysia

Hermizi Hapidin
Affiliation Universiti Sains Malaysia
Country Malaysia
Scopus ID 16022113600
Documents 36
Citations 494
h-index 13
Subject Area Health Sciences
Event International PopularScientist Awards
ORCID 0000-0002-9427-1332

Hermizi Hapidin is identified in the supplied researcher profile with Universiti Sains Malaysia in Malaysia and the broad subject area of Health Sciences. The provided bibliometric information records 36 documents, 494 citations, and an h-index of 13. These indicators offer a quantitative snapshot of the research profile, while the interpretation of individual publications requires verification against the researcher’s indexed author record. [1]

Abstract

This article summarizes the supplied academic profile for Hermizi Hapidin, affiliated with Universiti Sains Malaysia. The profile lists 36 research documents, 494 citations, and an h-index of 13, with Health Sciences as the stated subject area. These metrics can help describe publication activity and citation reach, but they do not independently establish research quality, originality, or award eligibility. A reliable assessment also requires examination of verified publications, contribution statements, research methods, and relevance to the award criteria. \(1\)

Keywords

Hermizi Hapidin, Best Researcher Award, Health Sciences, Universiti Sains Malaysia, Malaysia, academic research, research publications, citation analysis, h-index, scholarly impact, biomedical research, scientific recognition.

Introduction

Researcher recognition commonly considers the quality and significance of scholarly publications, methodological rigor, originality, collaboration, and the potential contribution of research to a discipline. Bibliometric indicators can provide useful background information, but their meaning depends on the field, publication history, database coverage, and citation practices. [4]

Research Profile

The supplied bibliometric summary reports the following indicators for the Scopus author identifier provided.Citation totals and h-index values are database-dependent indicators and can change over time. The Scopus author page and ORCID record should be checked together to establish identity and resolve any publications that may have been assigned to a similarly named author. [1]

Research Contributions

The publication details supplied with the request cover several scientific subjects, including methacrylate-based hydrogel tissue expanders, infantile hemangioma treatment, laser-based pain management, up-converting nanocrystals, and laser-assisted photodynamic therapy for basal cell carcinoma. These records demonstrate the breadth of the provided material, but their listed contributors do not establish that they belong to Hermizi Hapidin’s publication record. [2]3]

Publications

The following records were included in the supplied source material. They are listed transparently as supplied bibliographic examples, not as verified publications by Hermizi Hapidin. The contributor information points to other researchers, so these items should not be used as evidence of the nominee’s individual research output without further identity verification.

  1. Hrib, J., Sirc, J., Lesny, P., Hobzova, R., Duskova-Smrckova, M., Michalek, J., and Smucler, R. (2017). Hydrogel tissue expanders for stomatology. Part I. Methacrylate-based polymers. Journal of Materials Science: Materials in Medicine.
  2. Malis, J., Stara, V., Blahova, K., Buckova, H., Faberova, R., Sterba, J., Klovrzova, S., Kyncl, M., Cerny, M., Hrdlicka, R., et al. (2017). Infantile hemangiomas. Current treatment procedures. Czech-Slovak Pediatrics. The supplied record does not include a DOI and does not identify Hermizi Hapidin among the listed contributors.
  3. Šmucler, R., and Jenčová, J. (2016). Direct and indirect treatment of pain with lasers — Update 2016. Disease. The supplied record does not include a DOI and lists other contributors.

Research Impact

The supplied figures of 494 citations and an h-index of 13 indicate measurable citation activity in the associated bibliometric profile. Such figures may be useful for an initial overview, but they do not reveal whether citations are concentrated in a small number of papers, whether the publications are influential within a particular specialty, or what proportion of the researcher’s work has informed practice or policy. \(4\)

Award Suitability

The Best Researcher Award associated with the International PopularScientist Awards provides a context for reviewing a nominee’s scholarly record. The supplied profile contains bibliometric indicators and an institutional affiliation that may be included in an initial evaluation. However, the information currently provided does not establish the nominee’s precise research specialization, original contributions, or the relevance of the listed example publications to the nominee.

Conclusion

The supplied information identifies Hermizi Hapidin with Universiti Sains Malaysia in Malaysia and reports 36 documents, 494 citations, and an h-index of 13. These indicators provide an initial quantitative summary of the associated academic profile. A robust scholarly assessment requires verification of the author record and evaluation of the quality, originality, and impact of the research.

References

  1. Elsevier. (n.d.). Scopus author details: Hermizi Hapidin, Author ID 16022113600. Scopus. The supplied profile metrics should be verified against the current database record.
    https://www.scopus.com/authid/detail.uri?authorId=16022113600
  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. Google scholar profile.
    https://scholar.google.com/citations?user=lwqJw3sAAAAJ&hl=en
  3. ORCID. (n.d.). ORCID researcher identifier and profile. ORCID. The profile should be checked to confirm identity and publication associations.
    https://orcid.org/0000-0002-9427-1332
  4. Universiti Sains Malaysia. (n.d.). Official university website.
    [https://www.usm.my/</a></li]
  5. International PopularScientist Awards. (n.d.). Official award website. Program details and eligibility should be confirmed against the published award criteria.
    https://popularscientist.com/

Yashbir Singh | Medicine and Health Sciences | Best Researcher Award

Dr. Yashbir Singh | Medicine and Health Sciences | Best Researcher Award

Assistant Prof Mayo clinic, Rochester United States

Yashbir Singh is an Assistant Professor in Radiology with extensive experience in biomedical engineering and computational deep learning methods for medical imaging analysis. His research focuses on AI-driven approaches for early cancer detection, particularly in liver cancer, and has made substantial contributions to the integration of topological data analysis with deep learning. With a background in pharmaceutics, bioinformatics, and biomedical engineering, Yashbir brings a unique interdisciplinary perspective to medical imaging. His work is instrumental in advancing AI methodologies for clinical applications and patient-specific risk assessments in liver diseases. 🌐💡

Profile

Google Scholar

Orcid

Education

Yashbir Singh completed his Bachelor’s in Pharmaceutics and Drug Design from M.J.P. Rohilkhand University, Bareilly, India, followed by a Master’s in Bioinformatics from the Indian Institute of Information Technology, Allahabad. He then earned his PhD in Biomedical Engineering from Chung Yuan Christian University, Taiwan. After completing his postdoctoral work in AI Radiology at Mayo Clinic, he continued his research at the same institution as a Postdoctoral Fellow in AI Radiology. 🎓🔬

Experience

Yashbir Singh has held various prestigious positions, including visiting faculty at Harvard Medical School and a medical scientist at WVU Medicine, West Virginia. He has also been a junior research fellow at IIT Mandi, India, and a teaching assistant at IIIT Allahabad, India, and Chung Yuan Christian University, Taiwan. His diverse experiences across academia and clinical environments have significantly shaped his research in medical imaging and AI. 🌍👨‍⚕️

Research Interest

Dr. Singh’s research interests lie in the intersection of artificial intelligence, medical imaging, and oncology. He has pioneered the use of algebraic topology-based machine learning for predicting clinical outcomes, specifically in liver diseases like primary sclerosing cholangitis. His current work focuses on developing deep learning frameworks for early cancer detection, integrating machine learning with topological data analysis, and improving patient-specific diagnostic tools. 🔍💻🧬

Award

Yashbir Singh has received several prestigious awards, including the 2024 Research Award from RSNA and Best Paper Presenter at IEEE CCWC 2022. His work has been recognized for its innovation in AI-driven medical imaging and clinical applications. In addition, he has received Best Reviewer Awards from ICSPIS and the 2020 Medical Imaging Best Paper Award from SPIE. These accolades highlight his leadership in the field of AI-based medical research. 🏆📜

Publication Top Notes:

Yashbir Singh has contributed to over 20 high-impact publications. Some notable works include:

Decoding ChatGPT: a taxonomy of existing research, current challenges, and possible future directions

Mitigating bias in radiology machine learning: 1. Data handling

Mitigating bias in radiology machine learning: 2. Model development

The future of gpt: A taxonomy of existing chatgpt research, current challenges, and possible future directions

A low-cost texture-based pipeline for predicting myocardial tissue remodeling and fibrosis using cardiac ultrasound

Identification of Novel Abiotic Stress Proteins in Triticum aestivum Through Functional Annotation of Hypothetical Proteins

Algebraic topology-based machine learning using MRI predicts outcomes in primary sclerosing cholangitis

His work is highly cited, demonstrating a significant impact on the field of AI and medical imaging, especially in the context of liver disease. 📖📈