Ioannis Stefanou

Orcid: 0000-0002-4552-7717

According to our database1, Ioannis Stefanou authored at least 16 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
A POD-TANN approach for the multiscale modeling of materials and macroelement derivation in geomechanics.
CoRR, 2024

AI-Driven approach for sustainable extraction of earth's subsurface renewable energy while minimizing seismic activity.
CoRR, 2024

Passivity-based control of underactuated mechanical systems with Coulomb friction: Application to earthquake prevention.
Autom., 2024

2023
Robust boundary tracking control of wave PDE: Insight on forcing slow-aseismic response.
Syst. Control. Lett., August, 2023

Earthquake Control: An Emerging Application for Robust Control. Theory and Experimental Tests.
IEEE Trans. Control. Syst. Technol., July, 2023

Robust Tracking for a 3D Diffusion Equation: Controlling Seismicity Rate in Geothermal Reservoirs.
CoRR, 2023

2022
Evolution TANN and the discovery of the internal variables and evolution equations in solid mechanics.
CoRR, 2022

Motion Planning and Robust Tracking for the Heat Equation using Boundary Control.
CoRR, 2022

Advances in Sliding Mode Control of Earthquakes via Boundary Tracking of Wave and Diffusion PDEs.
Proceedings of the 16th International Workshop on Variable Structure Systems, 2022

Tracking for a Wave Equation Using Homogeneous Boundary Control.
Proceedings of the European Control Conference, 2022

Robust Tracking for the Diffusion Equation using Sliding-Mode Boundary Control.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Thermodynamics-based Artificial Neural Networks (TANN) for multiscale modeling of materials with inelastic microstructure.
CoRR, 2021

Controlling earthquake-like instabilities using artificial intelligence.
CoRR, 2021

2020
Scaling laws for the rigid-body response of masonry structures under blast loads.
CoRR, 2020

Thermodynamics-based Artificial Neural Networks for constitutive modeling.
CoRR, 2020

Material Modeling via Thermodynamics-Based Artificial Neural Networks.
Proceedings of the Geometric Structures of Statistical Physics, Information Geometry, and Learning, 2020


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