Mohammad Amirhosseini

Mohammad Amirhosseini is an Associate Professor specializing in AI and machine learning applications. His research develops predictive models for diverse domains including healthcare diagnostics, social media sentiment, and animal behavior analysis.

Recent work explores transformer models for conflict sentiment analysis, Spark performance optimization, and assistance dog training prediction. Publications demonstrate strong methodological innovation in applying deep learning to interdisciplinary challenges.