Farnaz Adib Yaghmaie

Bio

I received my bachelor and master's degrees from K. N. Toosi University of Technology, Tehran, Iran in 2009 and 2011. In 2013, I joined Nanyang Technological University (NTU) in Singapore as a Ph.D. Student and I received my Ph.D. degree with the "Best Thesis award" in 2017. Currently, I am a postdoctoral research fellow at Linkoping University.

Research

My main research interests concern Reinforcement Learning and Distributed Control of Multi-agent Systems.

Reinforcement Learning

I develop RL techniques for dynamical systems with continuous state and action space. I consider dynamical uncertainty and I use robust and stochastic control theories along with adaptive dynamic programming approaches to develop RL algorithms for dynamics systems with uncertainty.

Distributed Control of Multi-agent Systems

During my Ph.D., my research study focused on distributed control of linear heterogeneous multi-agent systems. More specifically, I obtained necessary and sufficient conditions for a group of linear heterogeneous agents to achieve a desired collective behavior like output regulation, $H_{\infty}$ output regulation, bipartite output regulation, multi-party output regulation and formation control. I also developed RL techniques for distributed control of multi-agent systems.

SLAM and Mobile Robot Navigation

I am also interested in Simultaneous Localization And Mapping (SLAM) in Dynamic Environment Using Grid Based Map. During my master's study, I worked on navigation of a nonholonomic mobile robot in dynamic environment. The primal task of the robot was to do SLAM in a dynamic environment and for this purpose, I proposed algorithms to distinguish between dynamic and static obstacles, and to re-do path planning.

News

• 2020-Nov. Checkout my github page for implementation of RL routines on control problems. It contains codes for solving a linear quadratic control and the classical cartpole problems
• 2020-Sep. I received a CENIIT grant!