Ishmam Ahmed Solaiman Source Confirmed

OverviewAI-generated summary

Ishmam Ahmed Solaiman's research focuses on the application of artificial intelligence and multi-agent systems for content discovery and analysis. His work explores the use of ensemble models for classifying medical images, such as X-rays, to detect diseases like COVID-19. He has also investigated the generation of educational content through multi-LLM (Large Language Model) agents and developed multi-agent systems for discovering content on platforms like YouTube, employing a narrative contagion approach for analytics-driven discovery.

His publications include studies on using X-ray classification for COVID-19 detection, educational content generation with multi-LLM agents, and multi-agent systems for YouTube content discovery. Solaiman's scholarly output, though limited in volume, indicates a focus on emerging AI techniques and their application in diverse fields, including healthcare and digital media.

Metrics

• h-index: 1
• Publications: 4
• Citations: 6