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Computational Electron Microscopy for the Characterization of Soft, Hard, and Hybrid Materials
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Generalizable Data-driven Models for Personalized Shared Control of Human-Machine Systems
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Mutational Processes Modeling and Early Cancer Diagnosis
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Predictive Traffic Operations and Control of Connected and Automated Vehicle Systems
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Nonequilibrium Dynamics of Soft Materials
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Fisher Score-Based Concept Drift Monitoring and Diagnosis with Applications to Microstructure Nonstationarity Analysis and Deep Learning Segmentation for Multiphase Materials
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Towards Understanding Deep Learning via Statistical Physics
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Analyzing the Role of Natural Language in Neural-Symbolic Models
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Predicting Employee Engagement: Machine Learning Applications to the Personality-Engagement Link
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Optimization Methods for Scale Invariant Problems in Machine Learning
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