Martin Gurtner
Power System Optimization - Developer
Prague, Czechia
Summary
👤
Senior🎓
Top SchoolMartin Gurtner is a power-systems optimization developer and Ph.D. candidate in control engineering based in Prague with 13 years of experience applying advanced mathematical optimization to real-world energy systems. As tech lead at ČEZ he builds and maintains robust mixed-integer models that schedule and plan generation across nuclear, hydro, CCGT and coal assets from hourly operations to multi-year planning horizons. His academic work fuses real-time optimization, estimation and control — from a two-legged balancing robot to dielectrophoretic micromanipulation — and produced a tractable, control-oriented DEP force-field model and novel position-measurement methods. He blends research rigor with production engineering, continuously improving model performance and maintainability using modern tools. Comfortable translating complex equations into usable software, he’s equally at home teaching optimal and robust control as he is delivering mission-critical energy optimization.
13 years of coding experience
Ph.D., Optimization-based control and estimation, Ph.D., Optimization-based control and estimation at Czech Technical University in PragueElectronic computer systems, Electronic computer systems at Střední průmyslová škola Třebíč
English, Czech
Github Skills (5)
flying9
simulink6
linux4
python3
image-processing3
Programming languages (5)
Github contributions (5)
martingurtner/mgbondgraph
Nov 2012 - Oct 2015
Contributions:7 commits, 2 pushes in 3 years
martingurtner/DistCtrl4DistMan.jl
Jul 2020 - Sep 2021
Julia package with code generating numerical experiments presented in a paper on distributed control for distributed manipulation.
Contributions:28 pushes, 2 branches in 1 year 2 months
julia-packagemanipulationjuliadistributed-controldistributed
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