The Computational Geosystems Group focuses on developing methodology and tools to effectively assimilate information provided by emerging sensing, monitoring and analysis techniques, and thus contribute to resilient and sustainable engineering systems. Our current work falls into four areas: Probabilistic Machine Learning and Uncertainty Quantification, Micromechanics of Granular Material, Remote Sensing and Applications, Risk/Reliability Assessment and Management.

The Computational Geosystems Group is led by Professor Yichuan Zhu who has an interdisciplinary background of Civil Engineering, Electrical Engineering, and Computer Science. Our goal is to share our experiences and expertise in advancing disciplinary boundaries, and to forge new knowledge and connections among computer science, geoengineering, and geosciences.

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