Robin Ghosh Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Researcher

Arkansas Tech University

faculty

23 h-index 126 pubs 3,688 cited

Research Areas

AI in cancer detection Neurological disorders and treatments Dementia and Cognitive Impairment Research Parkinson's Disease Mechanisms and Treatments SARS-CoV-2 and COVID-19 Research Food Security and Health in Diverse Populations Advanced Neural Network Applications Criminal Justice and Corrections Analysis

Links

ORCID Lab Website Research Group

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OverviewAI-generated summary

Robin Ghosh's research employs artificial intelligence and machine learning techniques across diverse applications. His work includes classifying the extent of dementia using Alzheimer's image data and predicting Parkinson's disease based on motor and non-motor biomarkers. Ghosh has also investigated the toxicity classification of music lyrics and the preliminary screening of COVID-19 infection from blood profiles.

Further research extends to societal impacts, such as assessing the economic effects of COVID-19 on aquaculture and fisheries in relation to food security, and crime prediction using machine learning in Little Rock. He has also explored the informal virtual teaching of STEM concepts to Black youth using AI and ML. Ghosh's academic contributions are reflected in his h-index of 23, with over 126 publications and 3,688 citations, designating him as a highly cited researcher. He leads a research group and maintains an active lab website.

Metrics

h-index: 23
Publications: 126
Citations: 3,688

Selected Publications

A Comprehensive RAG-Based LLM for AI-Driven Mental Health Chatbot (2025) DOI
Leveraging Machine Learning to Analyze Socioeconomic Disparities in U.S Cancer Clinical Trials (2025) DOI
PUAA: Personal University AI Assistant using Retrieval Augmented Generation (2024) DOI
Enhancing the Programming Sequence for Undergraduate Computer Science Students: A Program for Improving Learning Outcomes (2023) DOI
Crime Prediction Using Machine Learning: The Case of The City of Little Rock (2023) DOI
Improving Attitudes of Underrepresented High School Students Toward STEM: A Virtual Summer Program (2023) DOI
Assessing the Economic Impacts of COVID-19 on the Aquaculture and Fisheries Sectors in Relation to Food Security: A Critical Review (2022) DOI
Toxicity Classification on Music Lyrics Using Machine Learning Algorithms (2021) DOI