Mohsen Pourmohammad Shahvar received his Ph.D. in Physics and Chemistry from the University of Palermo and is currently a researcher in technology transfer. His work primarily focuses on the application of machine learning and deep learning in environmental science, climate change modeling, sustainable agriculture, drought forecasting, and astrophysical data analysis. He specializes in AI-driven climate predictions, smart irrigation, and sustainable agricultural practices, with a particular emphasis on coastal and arid regions. His research integrates geospatial data analysis, agent-based modeling, and hybrid neural networks to tackle challenges in water resource management, crop yield prediction, and extreme weather forecasting.