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In the Path of Progress: AI Innovations in Landslide and Engineering Geological Research


Stratis Karantanellis, University of Michigan, USA

Anika Braun, RWTH Aachen University, Germany
Xuanmei Fan, Chengdu University of Technology, China
Sansar Raj Meena, University of Padova, Italy

The special session aims to delve into the transformative impact of Artificial Intelligence (AI) in the realm of landslide and Engineering Geological research. As the fields of geoscience and engineering evolve, the integration of advanced technologies becomes increasingly crucial for understanding and mitigating natural hazards. This session will showcase cutting-edge applications of AI techniques, demonstrating their efficacy in landslide detection, prediction, and analysis. We invite researchers and experts to share their experiences, methodologies, and success stories in leveraging AI to enhance the accuracy and efficiency of landslide studies. Topics of interest include novel algorithms, data integration strategies, and real-world case studies that highlight the intersection of technology, geological research, and practice, fostering a collaborative environment for the exchange of knowledge and ideas. Join us as we explore the frontier of innovation, where AI converges with geological and engineering sciences to reshape the future of landslide and engineering geological research

Session is supported by the Young Engineering Geologist (YEG) committee


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