Innovative Research Award
Elaheh Bakhtiari
University of Messina, Italy
Elaheh Bakhtiari is a researcher affiliated with the University of Messina, Italy, whose documented research profile is situated within Computer Science and Artificial Intelligence. Available bibliographic information records one indexed document, one citation, and an h-index of 1. Her documented publication activity includes research examining an AI-assisted framework for anxiety support among university students, connecting computational methods with an applied behavioral-health context.
Abstract
Bakhtiari’s documented research includes the September 2026 journal article A Hybrid AI-Assisted Framework for Anxiety Support: System Description and Exploratory Findings Among University Students, published in Behavioral Sciences. The work describes an AI-assisted framework addressing anxiety-support needs among university students and represents an interdisciplinary intersection of artificial intelligence, computational systems, and behavioral science. The publication provides the principal documented basis for assessing the researcher’s current scholarly profile. [1]
Keywords
- Artificial intelligence
- AI-assisted systems
- Anxiety support
- University students
- Behavioral science
Introduction
Artificial intelligence is increasingly being investigated as a component of digital systems designed to support complex human-centered needs. Within this context, Bakhtiari’s reported publication addresses an AI-assisted framework for anxiety support among university students. The study is notable for positioning computational assistance within a behavioral-science application rather than treating artificial intelligence solely as a technical research problem. [1]
Research Profile
The available Scopus profile records one document, one citation, and an h-index of 1. These indicators describe an early or limited indexed publication record and should be interpreted in relation to the documented size and maturity of the profile. The stated subject area, Computer Science and Artificial Intelligence, provides the primary disciplinary classification for the researcher’s current recognition profile. [2]
Research Contributions
The principal documented contribution is the exploration of a hybrid AI-assisted framework for anxiety support. By combining artificial intelligence with a student-centered behavioral application, the work contributes to discussion around how computational systems may be incorporated into supportive environments. Its exploratory character also provides a basis for further investigation, validation, and development of AI-enabled support approaches. [1]
Publications
A Hybrid AI-Assisted Framework for Anxiety Support: System Description and Exploratory Findings Among University Students. Published in Behavioral Sciences in September 2026. The article is available through the publisher’s website. [1]
Research Impact
The currently documented bibliometric impact is modest, with one citation and an h-index of 1. Nevertheless, the publication’s interdisciplinary focus places the work at the intersection of artificial intelligence and behavioral support, an area in which continued research could contribute to the development and evaluation of human-centered computational systems. Impact should be reassessed as additional publications and citations become available. [2]
Award Suitability
For the Global Innovation Technologist Awards, the documented profile demonstrates a relevant connection between artificial intelligence research and an applied human-centered problem. The publication provides evidence of current scholarly activity and an interdisciplinary research direction. Award consideration should be based on the documented publication, research relevance, originality, methodological contribution, and the broader evidence available during formal evaluation.
Conclusion
Elaheh Bakhtiari’s documented research profile reflects an emerging contribution in Computer Science and Artificial Intelligence, with a particular interdisciplinary application to AI-assisted anxiety support. The 2026 publication provides a clear basis for recognizing research activity while the limited bibliometric record indicates that longer-term impact remains to be established through subsequent scholarly output and citation development.
External Links
References
- Bakhtiari, E. (2026). A Hybrid AI-Assisted Framework for Anxiety Support: System Description and Exploratory Findings Among University Students. Behavioral Sciences, 16(10), 1781.
https://doi.org/10.3390/bs16101781
- Elsevier. (n.d.). Scopus author details: Elaheh Bakhtiari, Author ID 60866885400. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=60866885400
- MDPI. (2026). Behavioral Sciences, Volume 16, Issue 10, Article 1781.
- ORCID. (n.d.). Elaheh Bakhtiari, ORCID record.
https://orcid.org/0009-0009-1571-355X
- Global Innovation Technologist Awards. (n.d.). Official award website.
innovationtechnologist.com