Alessandro Lucantonio
Associate Professor @ Department of Mechanical and Production Engineering, Aarhus University
About
At Aarhus University, I lead the Computational Physics and Machine Learning Lab, where we develop ML/AI models for physics-based simulation. We apply our algorithms to tackle challenges in human health, digitalization, and the green transition. We focus on translating research into innovation by building ML models that are reliable and safe by design, optimized for industrial edge deployment, and contribute to increaing the resilience of AI workflows in real-world settings.
Denmark
Aarhus
Research
Continuum Mechanics, Applied Mathematics, LaTeX, Linux, Windows, Mac OS, COMSOL Multiphysics, FEMAP, Matlab, Mathematica, Mathematical Modeling, Materials, Mathematical Physics, Fortran, MS Office Suite, Gnuplot, Macsyma, Smart Materials, Structural Mechanics, Abaqus
Experience

Ph.D. student in Theoretical and Applied Mechanics
Roma, Italia
Research interests: dynamics of swelling phenomena in polymeric gels, swelling-induced instabilities and pattern formation, biomechanical applications of gels, growth and remodelling in soft materials and biological tissues, ionic polymer-metal composites, multiphysics simulations, theoretical and computational non-linear mechanics, finite element methods, smart elasticity and soft condensed matter physics.
Education
Alessandro Lucantonio's Contact Information
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