Dr. Mahdi Panahi is a leading geoscientist and postdoctoral researcher at Stockholm University, with a Ph.D. in Smart Regional Innovation (AI in Geoscience) from Kangwon National University, South Korea. He holds Master's and Bachelor's degrees in Geophysics and Geomatics Engineering. With over a decade of experience in hazard modeling and AI applications, Dr. Panahi has worked at esteemed institutions including Yonsei University, KTH Royal Institute of Technology, and Korea Institute of Geoscience and Mineral Resources (KIGAM). His research spans flood and landslide susceptibility, subsidence, and wildfire modeling, with over 70 high-impact publications. His groundbreaking work on global landslide and flood mapping using deep learning has earned wide recognition. Dr. Panahi has been named among the world's top 2% scientists by Stanford University (2022–2024) and actively reviews for over 60 international journals. He is a member of the AGU, EGU, and an active contributor to interdisciplinary disaster risk research.
Dr. Mahdi Panahi is a leading geoscientist and postdoctoral researcher at Stockholm University, with a Ph.D. in Smart Regional Innovation (AI in Geoscience) from Kangwon National University, South Korea. He holds Master's and Bachelor's degrees in Geophysics and Geomatics Engineering. With over a decade of experience in hazard modeling and AI applications, Dr. Panahi has worked at esteemed institutions including Yonsei University, KTH Royal Institute of Technology, and Korea Institute of Geoscience and Mineral Resources (KIGAM). His research spans flood and landslide susceptibility, subsidence, and wildfire modeling, with over 70 high-impact publications. His groundbreaking work on global landslide and flood mapping using deep learning has earned wide recognition. Dr. Panahi has been named among the world's top 2% scientists by Stanford University (2022–2024) and actively reviews for over 60 international journals. He is a member of the AGU, EGU, and an active contributor to interdisciplinary disaster risk research.