Francesco Alesiani
Francesco Alesiani

Senior Researcher

NEC Labs Europe

About Me

I am a Senior Researcher at NEC Labs Europe. My research interests include Machine Learning, Optimization, Geometry. I am working at the intersection of Physics and Machine Learning, in particular modelling biomolecular systems. I am part of the Machine Learning for Computational Science team at the Interlligent Software System Group.

Interests
  • Machine Learning
  • Information Theory
  • Optimization
  • Control
📚 My Research
Driven by curosity I have been exploring different fields: Information Therory, Signal Processing, Control, Convex and nonlinear Optimiation, Telecommunication, Wirless Sensor Networks, Localization, Transportation system, Public Transport Optimization, Autonomous Driving, Traffic Control and Management, Meta Learning, Machine Learning, Physics and Machine Learning, Molecular Simulation.
Featured Publications
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Recent Publications
Makoto Takamoto, Henrik Christiansen, Francesco Alesiani (2024). ACCELERATING PARTICLE SIMULATIONS USING MACHINE LEARNING AND MOLECULAR DYNAMIC SIMULATIONS.
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Takashi Maruyama, Francesco Alesiani (2024). Hierarchy-based Clifford Group Equivariant Message Passing Neural Networks. ICLR 2024 Workshop on AI4DifferentialEquations In Science.
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Francesco Alesiani, Markus Zopf (2024). Information system for generation of complex molecule by using graph representing molecule.
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Anil Goyal, Ammar Shaker, Francesco Alesiani (2024). Machine learning knowledge management based on lifelong boosting in presence of less data.
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Francesco Alesiani, Markus Zopf, Cristobal Felipe Corvalan Morbiducci (2024). Learning logical rules over graph structured data using message passing.
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