Ishmam Ahmed Solaiman Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
unknown
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Ishmam Ahmed Solaiman's research focuses on the application of machine learning and artificial intelligence techniques to address complex problems in healthcare and content generation. His work involves developing and integrating ensemble models and large language models (LLMs) for tasks such as disease prediction and educational content creation. Recent publications explore the use of X-ray classification with ensemble models for COVID-19 detection, and the generation of educational content utilizing multi-LLM agents. Solaiman has also investigated multiagent-based systems for YouTube content discovery and developed analytical approaches for narrative contagion. His research in disease prediction includes integrating machine learning ensembles and LLMs for heart disease prediction using voting fusion, with a publication on this topic slated for 2026.
Metrics
- h-index: 1
- Publications: 4
- Citations: 6
Selected Publications
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Advanced Techniques for Dental Diagnosis Using Multimodal Vision Language Models Approaches with Prompt Engineering & Finetuning (2025)
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Multi-agent Analytics-Driven Content Discovery: A Narrative Contagion Approach (2025)
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Multiagent-based Youtube Content Discovery Bot (2023)
Collaboration Network
Top Collaborators
- X-Ray Classification to Detect COVID-19 using Ensemble Model
- Educational content generation using multi-LLM agents
- Multiagent-based Youtube Content Discovery Bot
- Multi-agent Analytics-Driven Content Discovery: A Narrative Contagion Approach
- Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion
- Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion
- Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion
- Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion
- Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion
- Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion
- Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion
- Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion
- Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion
- Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion
- Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion
- Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion
- Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion
- Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion
- X-Ray Classification to Detect COVID-19 using Ensemble Model
- X-Ray Classification to Detect COVID-19 using Ensemble Model
- X-Ray Classification to Detect COVID-19 using Ensemble Model
- Educational content generation using multi-LLM agents
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