Massimiliano Barolo

Orcid: 0000-0002-8125-5704

According to our database1, Massimiliano Barolo authored at least 13 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
On the use of machine learning to generate <i>in-silico</i> data for batch process monitoring under small-data scenarios.
Comput. Chem. Eng., January, 2024

2022
A benchmark simulator for quality-by-design and quality-by-control studies in continuous pharmaceutical manufacturing ‒ Intensified filtration-drying of crystallization slurries.
Comput. Chem. Eng., 2022

2019
Design space maintenance by online model adaptation in pharmaceutical manufacturing.
Comput. Chem. Eng., 2019

2018
Microalgae growth optimization in open ponds with uncertain weather data.
Comput. Chem. Eng., 2018

A novel and systematic approach to identify the design space of pharmaceutical processes.
Comput. Chem. Eng., 2018

2017
Uncertainty back-propagation in PLS model inversion for design space determination in pharmaceutical product development.
Comput. Chem. Eng., 2017

2015
Phase identification for product quality prediction in batch processes: Application to industrial resin production.
Proceedings of the 14th European Control Conference, 2015

2013
Adaptive blood glucose control for intensive care applications.
Comput. Methods Programs Biomed., 2013

On the use of continuous glucose monitoring systems to design optimal clinical tests for the identification of type 1 diabetes models.
Comput. Methods Programs Biomed., 2013

2012
Online model-based redesign of experiments with erratic models: A disturbance estimation approach.
Comput. Chem. Eng., 2012

2011
Optimal design of clinical tests for the identification of physiological models of type 1 diabetes in the presence of model mismatch.
Medical Biol. Eng. Comput., 2011

2008
An Improved PID Switching Control Strategy for Type 1 Diabetes.
IEEE Trans. Biomed. Eng., 2008

2006
Optimal sensor location for distributed-sensor systems using multivariate regression.
Comput. Chem. Eng., 2006


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