Niccolò Antonello
Research Manager at EssilorLuxottica
Milan, Lombardy, Italy
Summary
👤
Senior🎓
Top SchoolNiccolò Antonello is a research-focused applied scientist and manager with 11 years of experience designing audio and acoustics solutions, now leading research at EssilorLuxottica. He combines deep expertise in signal processing, numerical optimization, and sparse models with a PhD from KU Leuven and hands-on work across industry and academia, including Amazon and Idiap. His work spans dereverberation, speech enhancement, and robust ASR training, often translating theory into practical systems and patentable innovations. Known for bridging rigorous research and product-driven development, he has led EU-funded projects and collaborated with top labs such as Imperial College and DTU. Based in Milan, he is an active open-source advocate and maintains a personal site showcasing his work and reproducible research. A detail not obvious from titles: many of his contributions explicitly exploit sparsity and numerical acoustics to make large-scale ASR and dereverberation models both efficient and more robust in real-world conditions.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at KU LeuvenBachelor Electrical Engineering, Bachelor Electrical Engineering at Università degli Studi di PadovaTechnical University of Denmark
Github Skills (120)
wave10
multi-objective-optimization10
numerical-optimization10
noise10
optimization10
optimizer10
convex-optimization10
julia10
nonlinear-programming10
large-scale10
mixed-integer-programming10
pinterest9
markov9
scale9
frequency9
Programming languages (4)
Github contributions (5)
nantonel/AcFDTD.jl
Mar 2015 - Dec 2018
3D Room Acoustics Finite Difference Time Domain (FDTD) Simulator
Contributions:10 commits, 6 pushes, 1 branch in 3 years 10 months
fdtdfdtd-simulatoracousticsfinite-differenceroom
kul-optec/AbstractOperators.jl
Feb 2017 - Aug 2020
Abstract operators for large scale optimization in Julia
Contributions:7 releases, 3 reviews, 155 commits in 3 years 5 months
large-scale-optimizationoptimizationscalemulti-objective-optimizationlarge-scale
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