Biography
Ilayda Canyakmaz received the Bachelor of Science degree in mechanical engineering from the Middle East Technical University (METU), Ankara, Turkey, in 2017, and the PhD degree in mechanical engineering from the National University of Singapore (NUS), Singapore, in 2022. She joined Singapore University of Technology and Design (SUTD) in June 2022 and is currently a Research Fellow with the Engineering Systems and Design Pillar. Her research interests include control theory, dynamical systems, system identification and physics informed neural networks with applications in power systems and multi-agent systems.
Education
- PhD in Mechanical Engineering, National University of Singapore (2022)
- Bachelor of Science in Mechanical Engineering, Middle East Technical University (2017)
Research Interests
- Control theory
- Dynamical systems
- Physics informed neural networks
- Model predictive control
- Multi-agent systems
Selected Publications
- I. Canyakmaz, I. Sakos, W. Lin, A. Varvitsiotis, G. Piliouras, Learning and Steering Game Dynamics Towards Desirable Outcomes, Learning for Dynamics & Control Conference (L4DC), 2025. arXiv: https://arxiv.org/abs/2404.01066
- I. Canyakmaz, C. B. Saner, A. Varvitsiotis, Physics-Informed Neural Networks for Privacy-Preserving Model Sharing in Power Systems, 2024 IEEE PES Innovative Smart Grid Technologies-Europe (ISGT Europe), 2024.
- I. Canyakmaz, W. Lin, G. Piliouras, A. Varvitsiotis, Multiplicative Updates for Online Convex Optimization over Symmetric Cones, 2023. arXiv: https://arxiv.org/abs/2307.03136
- C. J. Ong, I. Canyakmaz, Consensus of Network of Unstable Homogeneous Linear Systems, 2022 IEEE 61st Conference on Decision and Control (CDC), 2022.
Awards
- Singapore International Graduate Award (SINGA) scholar, NUS
- High Honour Student, METU