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Dall'anese, Emiliano Assistant Professor


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research overview

  • The background of Emiliano Dall'anese is in the broad areas of Optimization Theory, Signal Processing, and Control. The objective of his current research is to advance theory, algorithms, and analysis for optimization, control, and learning of network systems and cyber-physical systems, governed by complex physical, behavioral, and computational interdependencies. Current application domains include power and energy systems, transportation systems, and collaborative computing.


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