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Antonio Ferramosca

Full Professor

University of Bergamo

Italy

Research Interests

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Professors in Italy

Articles (21)

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2026

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2026

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2023

Collaborators (8)

Fabio Previdi

University of Bergamo

ITALY

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Davide Previtali

University of Bergamo

ITALY

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José María Manzano Crespo

Profesor Adjunto

Universidad Loyola Andalucía

SPAIN

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Francisco Zamora-Polo

Universidad de Sevilla

SPAIN

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Marco Vincenzo Lenti

Associate Professor

University of Pavia

ITALY

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Ana De Las Heras Garcia De Vinuesa

Profesor Sustituto Interino

Universidad de Sevilla

SPAIN

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Mirko Mazzoleni

Assistant Professor

University of Bergamo

ITALY

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Lalo Magni

Professor

University of Pavia

ITALY

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Antonio Ferramosca

Research Interests

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Articles (21)

Characterization of Temporal Trajectories of Autoimmune Atrophic Gastritis Using a Graph Representation Learning Pipeline

A Basal Trajectory-Based Framework for Handling Circadian Variations of Insulin Sensitivity

Meta-Learning in Biologically Informed Recurrent Neural Networks for Personalized System Identification of Glucose--Insulin Dynamics

Dynamic Target Zone Modulation for Physical Activity Management in Artificial Pancreas Using Pulsatile Zone Model Predictive Control

Stable Compartmental Recurrent Neural Networks for Glucose–Insulin Dynamics Modeling in the Artificial Pancreas Framework

Data-driven stable neural imitation of economic MPC via an optimization-informed loss function

A new computational phenotyping framework for the clinical characterization of pediatric celiac disease

A robust tube-based MPC approach for safer insulin dosing

Artificial pancreas under stable pulsatile Model Predictive Control: Including the physical activity effect

Knowledge-guided recurrent neural networks for glucose–insulin dynamics modeling

Emotional design engineering for packaging of olive oil using machine learning techniques

CHoKI-based MPC for blood glucose regulation in Artificial Pancreas

Optimizing industrial oven temperature uniformity: A model predictive control framework with rapid control prototyping

Partially cooperative robust distributed model predictive control for tracking

Artificial Intelligence tool for prediction of ECM mimics hydrogel formulations via click chemistry

A Custom Loss Function Approach for Data-Driven Economic Model Predictive Control

A novel dynamic modeling of Insulin Sensitivity in the Blood Glucose Minimal Model

Artificial Neural Networks for Energy Demand Prediction in an Economic MPC‐Based Energy Management System

Disturbance-rejection-oriented temperature control of shrink tunnels under varying grid voltage

Energy power grid three-phase signal estimation and fault detection for electric vehicles

Tracking periodic parametric references using model predictive control

Collaborators (8)

Fabio Previdi

Davide Previtali

José María Manzano Crespo

Francisco Zamora-Polo

Marco Vincenzo Lenti

Ana De Las Heras Garcia De Vinuesa

Mirko Mazzoleni

Lalo Magni

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