Curriculum Vitae

I received my Bachelor's degree in Electrical Engineering from the University of Tuzla in 2015 and my Master's degree in Electrical Engineering and Information Technology from the Technical University of Munich in 2018. I received a DAAD scholarship for my master's studies. My PhD was supervised by Prof. Moritz Diehl. I started my PhD in 2018 as an external industrial PhD student at Siemens Technology Munich, in the Autonomous Systems and Control research group. In October 2021, I moved to the University of Freiburg. Together with my co-authors, I received the IEEE Control Systems Letters Outstanding Paper Award for 2022. I successfully defended my PhD (summa cum laude) in November 2023 and was a finalist for the 2024 European Systems & Control PhD Thesis Award. A brief overview of my research can be found in my interview published in the IEEE Control Systems Magazine. In the summer semester of 2025, I served as an interim professor at the Institute for Mathematical Optimization at TU Braunschweig.

Keywords
Model predictive control, Optimization-based control, Nonlinear programing, Mathematical programing with complementarity constraints, Mixed-integer optimization, Numerical Simulation, Applications: Robotics, Renewable energy systems. 
 

Preprints

• Real-Time Algorithms for Model Predictive Control of Hybrid Dynamical Systems - Armin Nurkanović, Anton Pozharskiy, Moritz Diehl   -- 👨‍💻 check out the code!

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• CCOpt: an Open-Source Solver for Large-Scale Mathematical Programs with Complementarity Constraints - Anton Pozharskiy, François Pacaud, Moritz Diehl, Armin Nurkanović -- 👨‍💻check out the code! (aslo directly avialble in CasADi since version 3.8.0.)

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• Local Convergence Results for Sequential Quadratic Programming with Complementarity Constraints - Armin Nurkanović

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• Robust Rigid Body Assembly via Contact-Implicit Optimal Control with Exact Second-Order Derivatives - Christian Dietz, Sebastian Albrecht, Gianluca Frison, Moritz Diehl, Armin Nurkanović 

Research Interest 

My current research focuses on developing efficent problem formulations, numerical methods for optimal control of all kinds of nonlinear and hybrid systems (i.e. systems combining discrete and continous components, e.g. switches, contacts and friction in robotics, on/off decisions). I am particularly interested in real-time optimization methods applicable to broad classes of such systems. In addition, I am involved in applying these methods to real-world systems, with a particular focus on robotics and renewable energy systems. For publications, check out the list below or my Google Scholar page. 

For more details about my work see the lecture slides of the: 

• Winter School on Numerical Methods for Optimal Control of Nonsmooth Systems (Paris, 2025), 

• Summer School on Direct Methods for Optimal Control of Nonsmooth Systems (Freiburg, 2023). 

Software

The implementation of all of my work is publicly available. For an overview see the nosnoc GitHub page .

Teaching
 

Winter Semester 2026/2027 

• Fall School on Model Predictive Control and Reinforcement Learning

Summer semester 2026

•  Summer School on Nonlinear Optimization with Mixed Integer and Complementarity Constraints 

Winter Semester 2025/2026

• Numerical Optimal Control (exercises)

Summer semester 2025

• Dynamic Optimization (at TU Braunschweig)
• Computerlab Optimization (in Julia)  (at TU Braunschweig)

Winter semester 2024/2025

• Winter School on Numerical Methods for Optimal Control of Nonsmooth Systems

Winter semester 2023/2024

• Numerical optimization (exercises)

Summer semester 2023 

• Summer School on Direct Methods for Optimal Control of Nonsmooth Systems 
• Numerical optimal control (exercises)

News

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