Mahdi PanahiPostdoctoral researcher
About me
Dr. Mahdi Panahi is a highly accomplished researcher specializing in natural hazard modeling, geosciences, and artificial intelligence applications in environmental studies. With a Ph.D. in Smart Regional Innovation (AI in Geoscience) from Kangwon National University, South Korea, and multiple postdoctoral positions at prestigious institutions such as Yonsei University and Stockholm University, Dr. Panahi’s work bridges advanced computational techniques with geospatial analysis.
Recognized among the world’s top 2% of scientists by Stanford University for three consecutive years (2022–2024), Dr. Panahi has contributed significantly to the understanding of natural hazards like floods, landslides, and land subsidence through machine learning and deep learning methodologies. He has published over 70 peer-reviewed papers in top-tier journals, with over 7,500 citations, reflecting his influence in the field.
His research interests include the application of machine learning, mathematical algorithms, and advanced data analytics for monitoring and mitigating environmental and social hazards. Dr. Panahi is also deeply engaged in the development of AI-driven disaster management tools and is currently collaborating on software projects for real-time hazard prediction and disaster preparedness.
Dr. Panahi’s expertise extends to Geographic Information Systems (GIS), remote sensing, and programming in Python and MATLAB, making him a valuable asset to any research and academic endeavor focused on natural hazards and their impact on society and infrastructure.