Meherun Nesa Shraboni Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
grad_student
Research Areas
Biography and Research Information
OverviewAI-generated summary
Meherun Nesa Shraboni is a graduate student researcher at the University of Arkansas at Little Rock whose work addresses emerging challenges at the intersection of technology and society. Shraboni's research encompasses gaze tracking for assistive technology applications, alongside investigations into online harms, such as spam, phishing, misinformation, hate speech, and cyberbullying. Applying machine learning techniques, Shraboni developed a system to analyze Bengali text on Facebook, identifying suspicious content. Shraboni also explores real-time eye-tracking analytics within extended reality (XR) environments.
Metrics
- h-index: 1
- Publications: 2
- Citations: 3
Selected Publications
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Gaze Insights in XR: Real-Time Eye-Tracking Analytics with Elasticsearch (2025)
Collaboration Network
Top Collaborators
- Gaze Insights in XR: Real-Time Eye-Tracking Analytics with Elasticsearch
- Gaze Insights in XR: Real-Time Eye-Tracking Analytics with Elasticsearch
- Gaze Insights in XR: Real-Time Eye-Tracking Analytics with Elasticsearch
- Gaze Insights in XR: Real-Time Eye-Tracking Analytics with Elasticsearch
- Gaze Insights in XR: Real-Time Eye-Tracking Analytics with Elasticsearch
- Gaze Insights in XR: Real-Time Eye-Tracking Analytics with Elasticsearch
- Gaze Insights in XR: Real-Time Eye-Tracking Analytics with Elasticsearch
- A System That Analyzes Bengali Text on Facebook Posts Using Machine Learning to Spot Suspicious Content