Luca Furieri
Associate Professor
Oxford, England, United Kingdom
Summary
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Senior🎓
Top SchoolLuca Furieri is an Associate Professor and control-theory researcher with a decade of experience building optimization- and learning-based algorithms for robotics, autonomous vehicles, drones, and power networks. He completed a PhD at ETH Zurich where he developed novel convex controller parametrizations (IOP), a Sparsity Invariance framework for structured controllers, and reinforcement-learning methods for distributed control—work applied to HVDC expansion and awarded for wind-gust mitigation in UAVs. Luca blends strong theoretical contributions and journal/conference publications with hands-on implementation in MATLAB/Simulink, C/C++, and Python, and has supervised students and secured grants. Multilingual and internationally trained (Italy, Switzerland, UK), he combines top academic credentials with pragmatic engineering focus, comfortable moving ideas from proofs to real-world guidance and navigation systems.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Control Theory and Optimization, Doctor of Philosophy - PhD, Control Theory and Optimization at Eidgenössische Technische Hochschule ZürichUniversity of BolognaAutomation Engineering, Automation Engineering at Collegio Superiore dell'Università di Bologna
Italian, English, German, Japanese, French
Github Skills (6)
norm9
dynamic5
simulation1
code-generation1
starcraft1
controller1
Programming languages (2)
Github contributions (5)
FurieriLuca/Sparsity_Invariance_Dynamic
Aug 2018 - Jan 2020
H2 norm minimization over fixed-order dynamic controllers, sparsity invariance approach
Contributions:25 commits, 17 pushes, 5 branches in 1 year 4 months
minimizationrelationscontrollersnormapproach
FurieriLuca/furieriluca.github.io
May 2020 - Jan 2023
Contributions:54 pushes, 1 branch in 2 years 7 months
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