Mariano Nicolás Cruz Bournazou

15 papers Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Online redesign of dynamic experiments for high-throughput bioprocess development using deep reinforcement learning.
Comput. Chem. Eng.
Martin F. Luna, Federico Mione, Ernesto C. Martínez, Mariano Nicolás Cruz Bournazou
2025 J jnl
Deep learning adaptive Model Predictive Control of Fed-Batch Cultivations.
Comput. Chem. Eng.
Niels Krausch, Martin Doff-Sotta, Mark Cannon, Peter Neubauer, Mariano Nicolás Cruz Bournazou
2024 J jnl
A workflow management system for reproducible and interoperable high-throughput self-driving experiments.
Comput. Chem. Eng.
Federico Mione, Lucas Kaspersetz, Martin F. Luna, Judit Aizpuru, Randolf Scholz, Maxim Borisyak, Annina Karolin Kemmer, Marie-Therese Schermeyer, Ernesto C. Martínez, Peter Neubauer, Mariano Nicolás Cruz Bournazou
2024 J jnl
Data Augmentation Scheme for Raman Spectra with Highly Correlated Annotations.
CoRR
Christoph Lange, Isabel Thiele, Lara Santolin, Sebastian L. Riedel, Maxim Borisyak, Peter Neubauer, Mariano Nicolás Cruz Bournazou
2023 J jnl
Deep Learning for Fast Inference of Mechanistic Models' Parameters.
CoRR
Maxim Borisyak, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou
2023 J jnl
Deep Set Neural Networks for forecasting asynchronous bioprocess timeseries.
CoRR
Maxim Borisyak, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou
2023 J jnl
Model predictive control and moving horizon estimation for adaptive optimal bolus feeding in high-throughput cultivation of
Comput. Chem. Eng.
Jong Woo Kim, Niels Krausch, Judit Aizpuru, Tilman Barz, Sergio Lucia, Peter Neubauer, Mariano Nicolás Cruz Bournazou
2023 J jnl
Modeling of bioprocesses via MINLP-based symbolic regression of S-system formalisms.
Comput. Chem. Eng.
Tim Forster, Daniel Vázquez, Mariano Nicolás Cruz Bournazou, Alessandro Butté, Gonzalo Guillén-Gosálbez
2022 J jnl
Model predictive control and moving horizon estimation for adaptive optimal bolus feeding in high-throughput cultivation of E. coli.
CoRR
Jong Woo Kim, Niels Krausch, Judit Aizpuru, Tilman Barz, Sergio Lucia, Peter Neubauer, Mariano Nicolás Cruz Bournazou
2022 J jnl
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development.
CoRR
Nghia Duong-Trung, Stefan Born, Jong Woo Kim, Marie-Therese Schermeyer, Katharina Paulick, Maxim Borisyak, Ernesto C. Martínez, Mariano Nicolás Cruz Bournazou, Thorben Werner, Randolf Scholz, Lars Schmidt-Thieme, Peter Neubauer
2021 J jnl
Fitting nonlinear models to continuous oxygen data with oscillatory signal variations via a loss based on DynamicTime Warping.
CoRR
Judit Aizpuru, Annina Karolin Kemmer, Jong Woo Kim, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou, Tilman Barz
2020 J jnl
Knowledge transfer across cell lines using Hybrid Gaussian Process models with entity embedding vectors.
CoRR
Clemens Hutter, Moritz von Stosch, Mariano Nicolás Cruz Bournazou, Alessandro Butté
2016 J jnl
Real-time adaptive input design for the determination of competitive adsorption isotherms in liquid chromatography.
Comput. Chem. Eng.
Tilman Barz, Diana C. López C., Mariano Nicolás Cruz Bournazou, Stefan Körkel, Sebastian F. Walter
2014 J jnl
Mixed integer optimal control of an intermittently aerated sequencing batch reactor for wastewater treatment.
Comput. Chem. Eng.
Juan Antonio Delgado San Martín, Mariano Nicolás Cruz Bournazou, Peter Neubauer, Tilman Barz
2012 — —
An approach to Mechanism Recognition for model based analysis of Biological Systems.
Mariano Nicolás Cruz Bournazou