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Adrian Hauswirth

Adrian Hauswirth
MSc. ETH, Ph.D. Student

Automatic Control Laboratory
Swiss Federal Institute of Technology
Physikstrasse 3, ETL I 13
8092 Zürich, Schweiz

Phone: +41 44 632 6145

I am a PhD student at IfA and PSL under the supervision of Prof. Florian Dörfler and Prof. Gabriela Hug.

I have obtained my B.Sc. in Electrical Engineering from EPFL and my M.Sc. in Robotics, Systems & Control from ETH Zurich.

In my research I combine elements of dynamical systems, variational analysis and differential geometry to study nonlinear, non-convex optimization problems. A particular focus is the application to the autonomous operation of future power systems with large renewable energy infeed.

Recent presentations

PowerTech 2017, Manchester, UK
(won Best Student Paper Award)


Frontiers in Energy Research, ETH Zurich,
Switzerland (PhD seminar)


Open Student Projects (master thesis, semester projects, group projects)

I am continuously looking for outstanding students to help me with my research. Lists of open projects can be found here (IfA) and here (PSL). Projects can often be adjusted to the student's interest. If you are interested, please send me an email with your ETH transcripts and a short description of your interests.

Note: I can only supervise students who have been admitted to ETH Zurich. If you are not an ETHZ student, please contact a faculty member or the admissions office.

Completed Master Thesis and Semester projects

Final reports and presentation are available upon request.

  • Felix Böwing, "Optimal Nonlinear Frequency Control in Power Systems," January 2018
  • Irina Subotic, "On the Existence of Solutions to Time-varying Projected Dynamical Systems," November 2017
  • Zhoudan Pan, "Fully Decentralized Collision Avoidance with ADMM," October 2017
  • Jozséf Pázmány, "Robust Optimization of Nonlinear Power Systems in Realtime," May 2017
  • Moritz Staub and Miriam Vonesch, "The Grid Game - A Power Systems Education Tool," February 2017
  • Alexandros Ketsetzis, "Optimal PMU placement for State Estimation in Power Grids," November 2016
  • Alessandro Zanardi, "Constrained optimization over manifolds for power system application," October 2016
  • Tianshu Pan, "Exploring Model Predictive Control Applications for the Gridbox Pilot ," June 2016
  • Matthias Fetzner, "Network Reduction for Optimal Power Flow Problems," January 2016


I am currently assisting in the following courses:


[1] Hauswirth, A., Zanardi, A., Bolognani, S., Dörfler, F. & Hug, G. Online optimization in closed loop on the power flow manifold. In 2017 IEEE Manchester PowerTech, pages 1-6, 2017., (best student paper award).
[2] Hauswirth, A., Bolognani, S., Hug, G. & Dörfler, F. Projected Gradient Descent on Riemannian Manifolds with Applications to Online Power System Optimization. In 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton), pages 225-232, IEEE, 2016.
[3] Hauswirth, A., Summers, T., Warrington, J., Lygeros, J., Kettner, A. & Brenzikofer, A. A modular AC optimal power flow implementation for distribution grid planning. In Proceedings of the 2015 IEEE Eindhoven PowerTech, IEEE, 2015.