Gianluca Bianchin

Assistant Professor

Université catholique de Louvain

Belgium

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About

Gianluca Bianchin is an Assistant Professor at Université Catholique de Louvain in Belgium. His research areas include optimization methods in traffic networks, multiagent systems, and epidemic models, as reflected in his recent articles. He has contributed to the field through studies on renewable charging systems in ride-sharing and the application of online optimization in the context of COVID-19 mitigation strategies.

Articles (17)

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2024

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2024

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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2020

Collaborators (1)

Elizabeth Carlton

Associate Professor

Colorado School of Public Health

UNITED STATES

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Gianluca Bianchin

Research Interests

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Articles (17)

Navigation Systems May Deteriorate Stability in Traffic Networks

Online Stochastic Optimization for Unknown Linear Systems: Data-Driven Controller Synthesis and Analysis

k-Dimensional Agreement in Multiagent Systems

An Age of Infection Kernel, an R Formula, and Further Results for Arino-Brauer <i>A, B </i>Matrix Epidemic Models with Varying Populations, Waning Immunity, and Disease and Vaccination Fatalities

An Age of Infection Kernel, an R Formula, and Further Results for Arino–Brauer A, B Matrix Epidemic Models with Varying Populations, Waning Immunity, and Disease and Vaccination Fatalities

Renewable-based charging in green ride-sharing

Novel use of online optimization in a mathematical model of COVID-19 to guide the relaxation of pandemic mitigation measures.

Extremum Seeking Under Persistent Gradient Deception: A Switching Systems Approach

Novel use of online optimization in a mathematical model of COVID-19 to guide the relaxation of pandemic mitigation measures

Online Optimization of Dynamical Systems with Deep Learning Perception

Online Projected Gradient Descent for Stochastic Optimization With Decision-Dependent Distributions

Online optimization of LTI systems under persistent attacks: Stability, tracking, and robustness

Online optimization of switched LTI systems using continuous-time and hybrid accelerated gradient flows

Stability Analysis of an Eight Parameter SIR-Type Model Including Loss of Immunity, and Disease and Vaccination Fatalities

Time-Varying Optimization of LTI Systems Via Projected Primal-Dual Gradient Flows

Extremum Seeking Under Persistent Gradient Deception: A Switching Systems Approach

Gramian-Based Optimization for the Analysis and Control of Traffic Networks

Collaborators (1)

Elizabeth Carlton

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