“I have known Pooya for more than 7 years, and have been very impressed with his knowledge, approach and innovative ideas he brings to solve complex business challenges. At RMS, he brought about a complete transformation in how large scale, high definition insurance exposure data is synthesized, and building characteristics are developed, through highly innovative analytics applied to aerial data. Pooya is also a great manager and leader, someone who can travel both the breadth and depth. One day he can be hands-on, deeply involved in technical implementation details, and the very next day he is able to abstract to a higher level and provide thought leadership on what innovations should be pursued to maintain and increase the competitive advantage in future for the products his team is delivering. ”
Pooya Sarabandi
Menlo Park, California, United States
3K followers
500+ connections
About
Insurance, Banking, Financial | FinTech, InsurTech
AI/ ML, AI-driven Risk…
Activity
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As a software company, we’ve benefited from Atlassian Jira to manage our software development and operational tasks. Bankers shouldn’t be excluded…
As a software company, we’ve benefited from Atlassian Jira to manage our software development and operational tasks. Bankers shouldn’t be excluded…
Liked by Pooya Sarabandi
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Discover the top four considerations for modern data lakes in our new ebook. Break free from limitations, prioritize user experience, and embrace…
Discover the top four considerations for modern data lakes in our new ebook. Break free from limitations, prioritize user experience, and embrace…
Liked by Pooya Sarabandi
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Thank you to Joshua R. Hollander Insurtech Insights and the InsurTech Association for making this interview possible. An additional thank you to Ken…
Thank you to Joshua R. Hollander Insurtech Insights and the InsurTech Association for making this interview possible. An additional thank you to Ken…
Liked by Pooya Sarabandi
Experience
Education
Licenses & Certifications
Patents
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Structural damage estimation based on measurements of rotations
Filed US 20140012517 A1
Structural damage to a building is assessed based on measurement of point rotations using MEMS accelerometer sensors attached to structural columns of a building. The measured point rotations are wirelessly transmitted to a central unit which estimates residual drifts of the structural columns using a model of plastic deformation of the columns that incorporates empirically predetermined structural parameters of the columns such as a height of a column plastic bending point or a column…
Structural damage to a building is assessed based on measurement of point rotations using MEMS accelerometer sensors attached to structural columns of a building. The measured point rotations are wirelessly transmitted to a central unit which estimates residual drifts of the structural columns using a model of plastic deformation of the columns that incorporates empirically predetermined structural parameters of the columns such as a height of a column plastic bending point or a column curvature coefficient. The structural damage to the building is then estimated by determining a damage state from performance-based earthquake engineering performance thresholds that relate residual drift to damage. In some embodiments, multiple sensors are attached to each structural column of the building and measure corresponding point rotations at multiple points along the height of the column.
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Conversational AI trained on the financial industry.
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