Philipp Seufert

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Active since

2020

Affiliations

Fraunhofer Institute for Industrial Mathematics(Current)

Philipp Seufert is an author at Fraunhofer Institute for Industrial Mathematics specializing in approximation theory, process control, and uncertainty quantification.

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Top concepts

DesignSimulationEngineeringData ScienceProcess ControlComputer ScienceMachine LearningSystems EngineeringApproximation TheoryModeling And Simulation

Publications per year

2020–2021

Publications

Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones?

Charlie Vanaret, Philipp Seufert, Jan Schwientek et al. · Computers & Chemical Engineering · 2020 · 27 citations · Full text

Model-Based Design of Experiments for High-Dimensional Inputs Supported by Machine-Learning Methods

Philipp Seufert, Jan Schwientek, Michael Bortz · Processes · 2021 · 11 citations · Full text

Engineering, Machine Learning, Machine Learning Tool +21

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