Panagiotis Patrinos
Professor at KU Leuven
Leuven, Flemish Brabant, Belgium
Summary
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Senior🎓
Top SchoolPanagiotis Patrinos is a professor of control and optimization at KU Leuven with over a decade of experience developing numerical and embedded optimization algorithms for real-time and large-scale systems. His work spans model predictive control, distributed control for cyber-physical systems, and applications in biomedical, aerospace, automotive and robotics domains, bridging theory with practical implementations. He progressed through roles from researcher and postdoc to assistant/associate professor and visiting positions at top institutions including Stanford and IMT Lucca, reflecting a strong international research footprint. Earlier industry experience as a data scientist in high-frequency algorithmic trading informs his aptitude for real-time, parallelized solutions on massive datasets. Panagiotis is known for translating advanced variational and stochastic control theory into efficient embedded solvers and distributed algorithms—a skillset that underpins both academic impact and applied systems. Based in Leuven, he combines deep theoretical insight with hands-on engineering to tackle optimization challenges at the intersection of control, machine learning and real-world systems.
11 years of coding experience
19 years of employment as a software developer
National Technical University of Athens
Github Skills (16)
julia9
optimization9
numerical-optimization9
nonsmooth-optimization8
nonlinear-programming8
mixed-integer-programming8
convex5
solver5
machine-learning5
matlab5
automatic-differentiation4
gradient-descent3
convex-optimization3
large-scale2
non-convex2
Programming languages (3)
Github contributions (5)
kul-optec/web
Mar 2018 - Oct 2022
Contributions:178 pushes in 4 years 7 months
lostella/ForBES
May 2015 - Feb 2016
Contributions:2 PRs, 28 pushes in 9 months
convex-optimizationmatlabproblemsoptimizationsolver
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