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tools to tackle the voltage security problem in transmission networks with a large presence of renewable generation by optimally employing non-costly control actions like (i) displacement of available
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Optimal Transport for Optimization and Machine Learning Appl Deadline: 2026/02/04 11:59PM (posted 2025/12/19, listed until 2026/02/04) Position Description: Apply Position Description Doctoral student in
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staff position within a Research Infrastructure? No Offer Description The Optimization Group at Aeronautics Institute of Technology's Computer Science Division (IEC/ITA) in São José dos Campos (São Paulo
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freshness metrics (Age of Information) in IoT and edge networks, examining random-access protocols, intelligent backoff strategies, and congestion dynamics. The activity integrates optimization and game
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necessary to make closely related decisions while ensuring that complex constraints are met and optimizing the often-conflicting criteria of different stakeholders. The objective of this research is to design
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of the convergence properties and efficiency (assessed through complexity bounds) of optimization methods for the solution of bilevel problems, with applications to quantitative finance and business decision-making
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collaboration with the University of Zurich. Mission The researcher will integrate, optimize, and stabilize the RNb-NeuS neural 3D reconstruction method within the AliceVision software architecture, enabling
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, devoted to the study of the singular structures of measures arising in Geometric Analysis, Optimal Transport, and Geometric Measure Theory. The aim is to develop new tools to describe the fine geometric
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, devoted to the study of the singular structures of measures arising in Geometric Analysis, Optimal Transport, and Geometric Measure Theory. The aim is to develop new tools to describe the fine geometric
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, devoted to the study of the singular structures of measures arising in Geometric Analysis, Optimal Transport, and Geometric Measure Theory. The aim is to develop new tools to describe the fine geometric