Agnes Poks, PhD
I am a mechanical engineer with a PhD from TU Wien and a strong interdisciplinary background in electrical engineering, control systems, and vehicle dynamics.
I have a strong industry background with experience as a software developer at ZIEHL-ABEGG SE for 8 years, where I focused on embedded systems, drive control algorithms, and system simulations. From 2019 to 2025, I worked as a research and teaching assistant at the Institute of Mechanics and Mechatronics at TU Wien. My doctoral research on predictive control for electric refrigerated vehicles combined physics-based modeling, model predictive control (MPC), and neural networks, in close collaboration with industrial partners such as PBX GmbH, ZOERKLER Gears, and KTM.
I have designed experimental test benches, conducted extensive lab measurements, and published my results in peer-reviewed journals. I was also actively involved in acquiring third-party funding and initiating new research projects. In my teaching activies at TU Wien, I have taught courses on control systems, supervised numerous theses, and guided students through exercises and labs. I am passionate about bridging theory and practice, supporting students, and advancing research in dynamic systems and control.
Beyond research, I contribute to the autonomous vehicle student group Scuderia Segfault, applying ML techniques to real-world driving scenarios.
news
| May 29, 2025 | Rewarding days at IEEE International Conference on Robotics and Automation (ICRA) in Atlanta GA filled with insightful conversations and new ideas from researchers and students around the world. It was also great to see Scuderia Segfault of Technische Universität Wien place 4th in the The Roboracer Foundation autonomous vehicle competition—an exciting challenge and a strong result for the team. |
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| Apr 04, 2025 | I successfully defended my doctoral thesis titled “Predictive Control Concepts for Electric Refrigeration Vehicles” at Technische Universität Wien.  |