Robin Ghosh
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assitant Professor
Also affiliated: University of Stuttgart (1998–2024); University of Hohenheim (2008); Goethe University Frankfurt (2003); University of Geneva (1995–1998); Roche (Switzerland) (1987); Centre National de la Recherche Scientifique (2003); Johns Hopkins University (1993); MRC Laboratory of Molecular Biology (1995); University of Western Australia (1996–1997); University of Basel (1981–1998); University of Zurich (1987–1994); Kwansei Gakuin University (1998); Johns Hopkins Medicine (1993); Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (2015–2017); ETH Zurich (1984–1985); Biogen (Germany) (2002); BioEnergetics (United States) (1995–1998); Kobe City College of Technology (1998); Department of Biomedicine Basel (1993); Heinrich Heine University Düsseldorf (2003); Jackson State University (2017–2021); Nippon Medical School (1998); University of Sheffield (1979–1982)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Robin Ghosh's research primarily focuses on the application of artificial intelligence and machine learning techniques across various domains. His work includes developing and evaluating machine learning algorithms for disease detection and classification, such as in the context of dementia and Parkinson's disease using medical image data and patient biomarkers. Ghosh has also explored the use of these technologies for predicting crime and assessing the economic impacts of global events like COVID-19 on specific sectors.
Beyond medical and societal applications, Ghosh's research extends to educational contexts, investigating the use of AI and machine learning for virtual STEM education for youth. He has also examined the enhancement of disease detection in aquaculture using convolutional neural networks. His scholarship metrics include an h-index of 23, with over 123 publications and 3,715 citations, designating him as a highly cited researcher. Ghosh is a Co-PI on a $2,000,000 NSF grant focused on social mobility through Arkansas Tech programs, collaborating with several colleagues at Arkansas Tech University.
Metrics
- h-index: 23
- Publications: 123
- Citations: 3,715
Selected Publications
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ATU-Tutor: A RAG-Based Socratic Tutoring System with Agentic AI Adaptive Assessment (2026)
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SmartSpend: A Unified Artificial Intelligence Powered Personal Finance Dashboard Integrating Fraud Detection, Spending Forecasting and Budget Recommendation (2026)
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Multimodal Neuromorphic Computing for Cancer Diagnosis: Architecture, Clinical Fusion and Energy Analysis (2026)
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The Advanced Health Risk Predictor: Ensemble Machine Learning System for Multi Disease Clinical Decision Support (2026)
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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)
Federal Grants 1 $2,000,000 total
Collaboration Network
Top Collaborators
- 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
- Enhancing Disease Detection in the Aquaculture Sector Using Convolutional Neural Networks Analysis
- Toxicity Classification on Music Lyrics Using Machine Learning Algorithms
- Enhancing Disease Detection in the Aquaculture Sector Using Convolutional Neural Networks Analysis
- Crime Prediction Using Machine Learning: The Case of The City of Little Rock
- PUAA: Personal University AI Assistant using Retrieval Augmented Generation
- Enhancing the Programming Sequence for Undergraduate Computer Science Students: A Program for Improving Learning Outcomes
- Spiking Neural Networks for ECG Classification and Anomaly Detection
- A Comprehensive RAG-Based LLM for AI-Driven Mental Health Chatbot
- An Agentic AI Framework for Explainable Health Insurance Decision Support
- Toxicity Classification on Music Lyrics Using Machine Learning Algorithms
- Assessing the Economic Impacts of COVID-19 on the Aquaculture and Fisheries Sectors in Relation to Food Security: A Critical Review
- Assessing the Economic Impacts of COVID-19 on the Aquaculture and Fisheries Sectors in Relation to Food Security: A Critical Review
- Assessing the Economic Impacts of COVID-19 on the Aquaculture and Fisheries Sectors in Relation to Food Security: A Critical Review
- Improving Attitudes of Underrepresented High School Students Toward STEM: A Virtual Summer Program
- Improving Attitudes of Underrepresented High School Students Toward STEM: A Virtual Summer Program
- Improving Attitudes of Underrepresented High School Students Toward STEM: A Virtual Summer Program
- Improving Attitudes of Underrepresented High School Students Toward STEM: A Virtual Summer Program
- Improving Attitudes of Underrepresented High School Students Toward STEM: A Virtual Summer Program
- Crime Prediction Using Machine Learning: The Case of The City of Little Rock
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