Dr. Farnaz Yaghmaie

Biography

Farnaz Adib Yaghmaie is an Assistant Professor at Linköping University, specializing in the intersection of control and machine learning. Her research focuses on redefining machine learning paradigms to solve control problems, exploring learning paradigms such as Reinforcement Learning in the context of Artificial Intelligence. She is actively involved in designing generalist agents for control applications, utilizing large language models to handle various control scenarios, and integrating generative AI into control systems. Yaghmaie's research examines foundational models in reinforcement learning, aiming to establish robust control systems that adapt to diverse tasks. Her educational background includes a Ph.D. in Electronic and Electrical Engineering from Nanyang Technological University in Singapore, where she received the Best Thesis award. She has also contributed to the field through various projects, including the development of algorithms for online control in adversarial environments and the creation of reinforcement learning algorithms designed for partially observable dynamical systems.

Research Interests