Recent News
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Meet the math that puts known commodity behavior to work in more accurate derivatives pricing
CategoriesJohns Hopkins mathematician develops a practical way to incorporate the well-known Samuelson effect into the pricing of commodity derivatives.
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Johns Hopkins team uses computer simulations to find the optimal level of disorder for light-manipulating devices.
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New research ditches trial-and-error for faster, sharper, more trustworthy models.
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In this Q&A, Nikhil Rammohan ’09 shares how a foundation in statistics led him to impactful cancer research.
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An engineering student’s project explores the math behind FM synthesis to uncover what makes its tones unique.
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Johns Hopkins mathematicians introduce ‘multiplayer federated learning,” a new framework that allows independent entities to optimize their own goals while reaching good outcomes.
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Innovation could accelerate research into how HIV affects memory and thinking.
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Smarter algorithms, less data
CategoriesJohns Hopkins researchers introduce new method to solve complex problems with minimal data, enhancing efficiency across industries.
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Adrian Severino and the Miraheart Team leverage light and simulation to revolutionize infant heart monitoring.
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Researchers use advanced models to uncover critical thresholds in global ocean circulation, highlighting potential climate impacts.
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New model predicts how much time proposed rail line could save commuters.
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Engineering student’s model could give faster turns the green light.