Mansoureh Ghiasabadi Farahani | Machine Learning | Innovative Research Award

Published on by Global CSE Awards

Innovative Research Award

Mansoureh Ghiasabadi Farahani
Ar.C., Islamic Azad University, Iran

Mansoureh Ghiasabadi Farahani
Affiliation Ar.C., Islamic Azad University
Country Iran
Scopus ID 26324844900
Documents 2
Citations 22
h-index 1
Subject Area Machine Learning
ORCID 0000-0002-0312-301X
Event Global CSE Awards

Mansoureh Ghiasabadi Farahani is affiliated with Ar.C., Islamic Azad University, Iran. The supplied profile identifies Machine Learning as the subject area and reports two documents, 22 citations, and an h-index of 1. These indicators provide a concise snapshot of the reported scholarly activity and should be considered alongside verified publications, research quality, originality, and documented contributions. [1][2][3]

Abstract

Mansoureh Ghiasabadi Farahani is affiliated with Ar.C., Islamic Azad University, Iran, and is associated with Machine Learning. The supplied metrics list two documents, 22 citations, and an h-index of 1. These indicators offer a snapshot of the stated academic profile and should be interpreted alongside verified publications and research contributions. [1][2][3]

Keywords

Machine Learning; Learning Automata; Personalized Recommender Systems; Item Clustering; Wireless Sensor Networks; Scopus; Research Impact.

Introduction

Mansoureh Ghiasabadi Farahani is affiliated with Ar.C., Islamic Azad University, Iran, and is associated with Machine Learning. The supplied metrics list two documents, 22 citations, and an h-index of 1. These indicators offer a snapshot of the stated academic profile and should be interpreted alongside verified publications and research contributions. [1][2][3]

Research Profile

Machine Learning research explores computational methods that learn patterns from data and support prediction, classification, and personalization. The supplied references concern learning automata in personalized recommender systems, item clustering, and routing protocols for wireless sensor networks. These topics relate to adaptive algorithms and computational systems. Publication authorship and the precise contributions should be verified through the linked records. [1][2][3]

Research Contributions

Machine Learning includes methods that enable systems to identify patterns in data and support prediction, classification, and personalization. The supplied references mention learning automata, adaptive personalized recommendation, item clustering, and wireless sensor network routing. These topics provide relevant context for computational and adaptive systems, while individual publication contributions should be confirmed from the linked sources. [1][2][3]

Publications

The supplied references cover a dynamic user profile for an adaptive personalized recommender system using learning automata, an adaptive personalized recommender system using learning automata and item clustering, and an enhanced routing protocol for wireless sensor networks. The references are listed below with the provided DOI or record links. Verify the linked records for bibliographic details and authorship before attributing these works to the researcher. [1][2][3]

Research Impact

The supplied profile reports 22 citations and an h-index of 1 across two documents. These figures provide a bibliometric snapshot, but research impact is best considered alongside publication quality, originality, collaboration, practical relevance, and the researcher’s verified contributions. Citation and indexing figures may change over time. [1][2][3]

Award Suitability

The Innovative Research Award recognizes research activity and contributions in the relevant subject area. The supplied profile identifies Machine Learning and reports two documents, 22 citations, and an h-index of 1. A fair assessment should consider verified publications, originality, methodological quality, significance, and documented contributions alongside bibliometric indicators. [1][2][3]

Conclusion

Mansoureh Ghiasabadi Farahani’s supplied profile identifies Ar.C., Islamic Azad University, Iran, and Machine Learning as the subject area. The provided metrics are two documents, 22 citations, and an h-index of 1. The listed references focus on recommender systems using learning automata and wireless sensor network routing. Verified publication records can support a fuller assessment of research contributions. [1][2][3]

References

  1. Dynamic user profile for adaptive personalized recommender system using learning automata.
    https://doi.org/10.1007/s11042-023-17339-w
  2. Adaptive personalized recommender system using learning automata and items clustering.
    https://doi.org/10.1016/j.is.2021.101978
  3. An enhanced routing protocol for wireless sensor networks.
    https://www.scopus.com/inward/record.url?eid=2-s2.0-62349124376&partnerID=MN8TOARS

Amir Reza Rahimi | Artificial Intelligence | Best Research Article Award

Published on by Global CSE Awards

Mr. Amir Reza Rahimi | Artificial Intelligence | Best Research Article Award

University of Valencia | Spain 

Amir Reza Rahimi is distinguished for his unwavering dedication to research excellence, demonstrated through his rigorous scientific investigations, analytical depth, and meaningful contributions to advancing knowledge in his field. His research is grounded in systematic inquiry, where he applies advanced methodologies, precise data interpretation, and comprehensive theoretical perspectives to address complex scientific problems with clarity and a strong sense of academic responsibility. Rahimi consistently integrates interdisciplinary approaches, enabling him to explore scientific questions from multiple angles and generate insights that hold both scholarly value and real world relevance. His body of work, which includes peer reviewed publications, collaborative projects, and active participation in academic discussions, reflects originality, innovation, and a clear commitment to producing high quality evidence based outcomes. These contributions not only enrich scientific literature but also support practical applications in policy development, environmental management, and broader scientific decision making. Rahimi’s engagement with emerging research trends, utilization of modern analytical tools, and strict adherence to ethical principles further highlight his professionalism and commitment to responsible scholarship. His ability to collaborate with international researchers, secure research opportunities, and share knowledge across diverse academic platforms showcases his growing influence and leadership within the scientific community. Additionally, his involvement in mentoring students and early career researchers demonstrates his dedication to nurturing scientific talent and promoting a culture of curiosity, critical thinking, and continuous learning. Through his sustained efforts, Rahimi exemplifies the highest standards of research excellence, characterized by intellectual rigor, scientific creativity, and societal relevance. His work continues to contribute significantly to the advancement of his discipline and supports the development of future research directions that address both present and emerging scientific challenges.

Profiles : Google Scholar | ORCID

Featured Publications

Rahimi, A. R., & Sevilla-Pavon, A. (2025). The role of design thinking skills in artificial-intelligence language learning (DEAILL) in shaping language learners’ L2 grit: The mediator and moderator role of artificial intelligence L2 motivational self-system. Computer Assisted Language Learning.

Rahimi, A. R., & Daneshvar Ghorbani, B. (2025). Developing and validating the scale of language teachers’ computational thinking competency in Computer Assisted Language Learning (LTCCTCALL): Empowering language teaching by cultivating the heart of the 21st-century digital skill. Asian-Pacific Journal of Second and Foreign Language Education.

Rahimi, A. R., & Sevilla-Pavón, A. (2025). Modeling the relationship between online L2 motivational self-system and EFL learners’ virtual exchange self-regulations: The mediator and moderator roles of L2 grit. ReCALL.

Rahimi, A. R., & Sevilla-Pavón, A. (2025). The role of interactive, constructive, active, and passive learning activities (ICAPCALL) in shaping students’ online engagement and learning approaches to virtual exchange (SAVE): A bisymmetric approach. Smart Learning Environments.

Rahimi, A. R., & Teimouri, R. (2025). Advancing language education with ChatGPT: A path to cultivate 21st-century digital skills. Research Methods in Applied Linguistics.

Rahimi, A. R. (2025). Developing and validating the scale of language teachers’ design thinking competency in artificial intelligence language teaching (LTDTAILT). Computers and Education: Artificial Intelligence.