Melisa Gozet | Artificial Intelligence | Innovative Research Award

Innovative Research Award

Melisa Gozet — Ostim Technical University, Turkey

Melisa Gozet
Affiliation Ostim Technical University
Country Turkey
Scopus ID 59723815900
Documents 3
Citations 5
h-index 1
Subject Area Artificial Intelligence
Event The Scientist Global Awards
ORCID 0000-0003-0706-5555
Google Scholar oDczXfUAAAAJ&hl

Melisa Gozet is a researcher affiliated with Ostim Technical University in Turkey whose stated subject area is artificial intelligence. Her research profile can be explored through her public scholarly identifiers and indexed publication records, including Scopus, ORCID, and Google Scholar. The Innovative Research Award article presents her research background and academic indicators in the context of The Scientist Global Awards. The available profile information provides a starting point for examining her scholarly output, citation activity, and potential relevance to innovation-oriented research recognition. [1] [2] [3]

Abstract

This article presents an academic profile of Melisa Gozet, affiliated with Ostim Technical University, Turkey, with artificial intelligence identified as her subject area. The supplied bibliometric information lists three documents, five citations, and an h-index of one. These indicators offer a limited quantitative snapshot of indexed research activity and should be interpreted in conjunction with publication content, research quality, methodological contribution, and relevance to the wider scientific community. The article also outlines considerations for evaluating research innovation in relation to The Scientist Global Awards. [1] [2]

Keywords

Melisa Gozet; artificial intelligence; innovative research; scholarly publications; research impact; bibliometrics; scientific innovation; Ostim Technical University; The Scientist Global Awards; academic recognition.

Introduction

Melisa Gozet’s supplied academic profile identifies Ostim Technical University in Turkey as her institutional affiliation and artificial intelligence as her subject area. Her Scopus Author ID, ORCID identifier, and Google Scholar profile provide routes for reviewing the publications associated with her scholarly record. Such identifiers are useful for distinguishing authors and locating research outputs, although profile completeness and indexing coverage can vary across databases. [1] [2] [3]

Research Profile

The available profile information associates Melisa Gozet with Ostim Technical University and identifies artificial intelligence as her research subject area. A detailed account of her particular specializations, research methods, project affiliations, and individual findings requires verification against her indexed publications and institutional records. The public scholarly identifiers listed in this article can support that review.  [4]

Research Contributions

The supplied information establishes artificial intelligence as the subject area associated with Melisa Gozet’s profile but does not provide publication titles, abstracts, datasets, project descriptions, or specific technical findings. Consequently, individual contributions cannot be described accurately without examining the underlying publications. A publication-level assessment should identify the problem addressed, the methods developed or applied, the evidence supporting the findings, and the relationship between the results and prior research. [4]

Publications

The supplied Scopus profile reports three documents associated with Melisa Gözet. The individual publication titles, author lists, publication dates, journal or conference details, and DOI identifiers have not been provided in the input data. They should therefore be retrieved and checked against the original records before a publication bibliography is added. [1]

Research Impact

The supplied profile reports five citations and an h-index of one. These values offer a limited bibliometric snapshot but do not independently establish the influence or quality of individual publications. Citation counts may change over time and vary between databases because of differences in indexing, document coverage, author attribution, and update schedules. [1] [4]

Award Suitability

The Innovative Research Award, as presented in this profile, provides a context for considering research originality, methodological development, and the potential value of scientific work. The Scientist Global Awards is the event named in the supplied information. The award website provides the relevant organizational reference for readers seeking official information about award categories and participation. [6]

Conclusion

Melisa Gozet’s supplied academic profile identifies an affiliation with Ostim Technical University in Turkey and a subject area of artificial intelligence. The reported record includes three documents, five citations, and an h-index of one, alongside Scopus, ORCID, and Google Scholar identifiers. These details provide a starting point for reviewing her scholarly work and documenting research activity in the context of the Innovative Research Award and The Scientist Global Awards. [1]

References

  1. Elsevier. (2026). Scopus author details: Melisa Gozet, Author ID 59723815900. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59723815900
  2. ORCID. (2026). ORCID record: 0000-0003-0706-5555.
    https://orcid.org/0000-0003-0706-5555
  3. Google Scholar. (2026). Melisa Gozet — Google Scholar profile.
    https://scholar.google.com/citations?user=oDczXfUAAAAJ&hl=tr&oi=ao
  4. An Analysis Approach for Crowds with Varying Density and Complexity Using Image Data
    https://doi.org/10.1109/it64745.2025.10930264
  5. YOLOv11-Based Explainable Framework for Anomaly Detection in Crowded Scenes Using Attention Fusion.
    https://doi.org/10.1109/acit65614.2025.11185718
  6. The Scientist Global Awards. (2026). Official award website.
    https://thescientists.net/

Zhizhong Xing | Artificial Intelligence | Best Innovation Award

Dr. Zhizhong Xing | Artificial Intelligence | Best Innovation Award

University Teacher | Kunming Medical University | China

Dr. Zhizhong Xing, Ph.D., is a distinguished provincial-level Xingdian Young Talent and high-level recruited scholar at Kunming Medical University, widely recognized for his impactful contributions at the intersection of artificial intelligence, deep learning, smart education, and rehabilitation medicine. He obtained his doctoral degree in a technical discipline that laid the foundation for his expertise in AI-driven systems, intelligent sensing, and advanced computational modeling. Professionally, he has accumulated significant experience as principal investigator and collaborator on multiple prestigious projects, including the National Key R&D Program of China, the National Natural Science Foundation, and the Provincial Natural Science Foundation, reflecting both leadership and team-driven research capacity. His research interests center on the development of graph-based deep learning algorithms, point cloud analysis, and multi-source data fusion for applications in education technology, healthcare rehabilitation, and coal resource management under carbon peak initiatives. He has cultivated advanced research skills in 3D deep learning, human–computer interaction, laser point cloud segmentation, and biosensor-enhanced modeling, enabling translational advances across engineering, medicine, and education. Dr. Xing has published over 40 high-level academic papers, including more than 30 indexed by SCI, featured in CAS Tier 1 journals and IEEE Transactions, with several ranked as ESI Global Top 1% Highly Cited and Top 1‰ Hot Papers, reaching a total cumulative impact factor exceeding 111.8. His international visibility is further underscored by ongoing submissions to elite journals such as Nature Communications. Among his awards and honors are the Excellent Achievement Award for Scientific and Technological Research in Higher Education and the Provincial Science and Technology Award (Second Prize). He also serves as a reviewer for leading SCI journals and is a member of Sigma Xi, The Scientific Research Honor Society. His career reflects not only scholarly excellence but also commitment to advancing global collaborations, mentoring, and applied innovation. 286 Citations by 216 documents | 28 Documents | 10 h-index.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

  1. Xing, Z., Zhao, S., Guo, W., Meng, F., Guo, X., Wang, S., & He, H. (2023). Coal resources under carbon peak: Segmentation of massive laser point clouds for coal mining in underground dusty environments using integrated graph deep learning model. Energy, 285, 128771. Cited by: 68

  2. Wu, Y., Zhao, S., Xing, Z., Wei, Z., Li, Y., & Li, Y. (2023). Detection of foreign objects intrusion into transmission lines using diverse generation model. IEEE Transactions on Power Delivery, 38(5), 3551–3560. Cited by: 37

  3. Xing, Z., Zhao, S., Guo, W., Guo, X., & Wang, Y. (2021). Processing laser point cloud in fully mechanized mining face based on DGCNN. ISPRS International Journal of Geo-Information, 10(7), 482. Cited by: 29

  4. Xing, Z., Ma, G., Wang, L., Yang, L., Guo, X., & Chen, S. (2025). Towards visual interaction: Hand segmentation by combining 3D graph deep learning and laser point cloud for intelligent rehabilitation. IEEE Internet of Things Journal, 12, 21328–21338. Cited by: 25

  5. Xing, Z., Meng, Z., Zheng, G., Ma, G., Yang, L., Guo, X., Tan, L., Jiang, Y., & Wu, H. (2025). Intelligent rehabilitation in an aging population: Empowering human–machine interaction for hand function rehabilitation through 3D deep learning and point cloud. Frontiers in Computational Neuroscience, 19, 1543643