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Scalable Parallel I/O in the Exa-scale Era
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Learning from Limited and Imperfect Data in Cyber-Physical System
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Scalable Parallel I/O in the Exa-scale Era
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High-performance and Energy-efficient Computing Systems Using Photonics
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Co-Design of Resilient Timing-Constrained Cyber-Physical Systems
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Low-Power Mixed-Signal Time-Domain Hardware Accelerator Design for Edge Computing and Machine Learning
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User Experience Aware System Optimizations for Mobile Systems
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Variants of MaxRS Queries for Trajectories, Shapes and Spatial Data Streams
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Real-time Control in Embedded Systems using Deep Neural Network-based Estimation Applied to Joule Heating
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