R
Robin Ghosh Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
High Impact
Assitant Professor
faculty
23 h-index
123 pubs
3,709 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Robin Ghosh investigates the application of artificial intelligence and machine learning techniques across diverse research areas. His work includes developing models for classifying dementia extent using image data, predicting crime in urban environments, and screening for COVID-19 infection from blood profiles. Ghosh also explores the toxicity of music lyrics and the virtual teaching of STEM concepts to Black youth using AI and machine learning.
His research extends to fundamental biological and chemical processes, including the active site environment and reactivity of copper-amyloid-beta complexes in micellar environments. Ghosh is a highly cited researcher with an h-index of 23 and over 127 publications. He serves as a Co-Principal Investigator on a $2,000,000 NSF grant focused on social mobility through Arkansas Tech University.
Metrics
- h-index: 23
- Publications: 123
- Citations: 3,709
Selected Publications
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An Agentic AI Framework for Explainable Health Insurance Decision Support (2026)
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Spiking Neural Networks for ECG Classification and Anomaly Detection (2025)
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Deep Learning-Based Multi-Classification of Breast Cancer Ultrasound Images Using Convolutional Neural Networks (2025)
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A Comprehensive RAG-Based LLM for AI-Driven Mental Health Chatbot (2025)
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Leveraging Machine Learning to Analyze Socioeconomic Disparities in U.S Cancer Clinical Trials (2025)
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Enhancing Disease Detection in the Aquaculture Sector Using Convolutional Neural Networks Analysis (2025)
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PUAA: Personal University AI Assistant using Retrieval Augmented Generation (2024)
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Enhancing the Programming Sequence for Undergraduate Computer Science Students: A Program for Improving Learning Outcomes (2023)
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Crime Prediction Using Machine Learning: The Case of The City of Little Rock (2023)
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Improving Attitudes of Underrepresented High School Students Toward STEM: A Virtual Summer Program (2023)
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Assessing the Economic Impacts of COVID-19 on the Aquaculture and Fisheries Sectors in Relation to Food Security: A Critical Review (2022)
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Toxicity Classification on Music Lyrics Using Machine Learning Algorithms (2021)
Federal Grants 1 $2,000,000 total
NSF
Co-PI
Jul 2026 - Jun 2032
Collaboration Network
Top Collaborators
Venkata Kiran Melapu
Jackson State University (US)
3 shared publications
- Application of Artificial Intelligence and Machine Learning Techniques in Classifying Extent of Dementia Across Alzheimer's Image Data
- Classification of Parkinson's Disease Using Motor and Non-Motor Biomarkers Through Machine Learning Techniques
- Preliminary Screening of COVID-19 Infection Employing Machine Learning Techniques From Simple Blood Profile
Chinmay Dey
Indian Association for the Cultivation of Science (IN)
3 shared publications
- Active Site Environment and Reactivity of Copper‐Aβ in Membrane Mimetic SDS Micellar Environment
- Mechanism of oxidative stress and neurotoxicity associated with heme and copper–Aβ relevant to Alzheimer's disease
- Copper-Aβ and cytochrome c: a potential Janus in Alzheimer's disease
Puja Pal
Indian Association for the Cultivation of Science (IN)
3 shared publications
- Active Site Environment and Reactivity of Copper‐Aβ in Membrane Mimetic SDS Micellar Environment
- Mechanism of oxidative stress and neurotoxicity associated with heme and copper–Aβ relevant to Alzheimer's disease
- Copper-Aβ and cytochrome c: a potential Janus in Alzheimer's disease
Somdatta Ghosh Dey
Indian Association for the Cultivation of Science (IN)
3 shared publications
- Active Site Environment and Reactivity of Copper‐Aβ in Membrane Mimetic SDS Micellar Environment
- Mechanism of oxidative stress and neurotoxicity associated with heme and copper–Aβ relevant to Alzheimer's disease
- Copper-Aβ and cytochrome c: a potential Janus in Alzheimer's disease
Sravanthi Joginipelli
Jackson State University (US)
2 shared publications
- Application of Artificial Intelligence and Machine Learning Techniques in Classifying Extent of Dementia Across Alzheimer's Image Data
- Classification of Parkinson's Disease Using Motor and Non-Motor Biomarkers Through Machine Learning Techniques
Supratik Kar
Jackson State University (US)
2 shared publications
- Application of Artificial Intelligence and Machine Learning Techniques in Classifying Extent of Dementia Across Alzheimer's Image Data
- Preliminary Screening of COVID-19 Infection Employing Machine Learning Techniques From Simple Blood Profile
Anirudh Reddy Cingireddy
Jackson State University (US)
2 shared publications
- Classification of Parkinson's Disease Using Motor and Non-Motor Biomarkers Through Machine Learning Techniques
- Preliminary Screening of COVID-19 Infection Employing Machine Learning Techniques From Simple Blood Profile
Jerzy Leszczyński
2 shared publications
- Preliminary Screening of COVID-19 Infection Employing Machine Learning Techniques From Simple Blood Profile
- Machine learning for the high-performance donor/acceptor pairs for non-fullerene based organic solar cells
Darron Lamkin
Oklahoma State University (US)
2 shared publications
- Informally Teaching Black Youth STEM Concepts Virtually Using Artificial Intelligence and Machine Learning
- Improving Attitudes of Underrepresented High School Students Toward STEM: A Virtual Summer Program
Tutaleni I. Asino
Oklahoma State University (US)
2 shared publications
- Informally Teaching Black Youth STEM Concepts Virtually Using Artificial Intelligence and Machine Learning
- Improving Attitudes of Underrepresented High School Students Toward STEM: A Virtual Summer Program
Tor A. Kwembe
Jackson State University (US)
2 shared publications
- Informally Teaching Black Youth STEM Concepts Virtually Using Artificial Intelligence and Machine Learning
- Classification of Parkinson's Disease Using Motor and Non-Motor Biomarkers Through Machine Learning Techniques
Kamal Gosh
Langston University (US)
2 shared publications
- Assessing the Economic Impacts of COVID-19 on the Aquaculture and Fisheries Sectors in Relation to Food Security: A Critical Review
- Toxicity Classification on Music Lyrics Using Machine Learning Algorithms
Sijan Panday
Arkansas Tech University
2 shared publications
In database
- Crime Prediction Using Machine Learning: The Case of The City of Little Rock
- PUAA: Personal University AI Assistant using Retrieval Augmented Generation
Madhuparna Roy
Indian Association for the Cultivation of Science (IN)
2 shared publications
- Active Site Environment and Reactivity of Copper‐Aβ in Membrane Mimetic SDS Micellar Environment
- Mechanism of oxidative stress and neurotoxicity associated with heme and copper–Aβ relevant to Alzheimer's disease
Anirudh Reddy Cingreddy
Jackson State University (US)
1 shared publication
- Application of Artificial Intelligence and Machine Learning Techniques in Classifying Extent of Dementia Across Alzheimer's Image Data
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Jake Qualls
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Tucker A. Patterson
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