Farnaz Yaghmaie
Assistant Professor at Linköping University
Sweden
Summary
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Top SchoolFarnaz Yaghmaie is an assistant professor at Linköping University specializing in reinforcement learning and control theory, with eight years of experience developing RL methods for dynamical and multi-agent systems. She earned a PhD from Nanyang Technological University (Best Thesis Award) and has held postdoctoral positions focused on adaptive-optimal control and robust RL for continuous-state, continuous-action systems. Her research blends stochastic and robust control, adaptive dynamic programming, and practical implementation on PLC-controlled industrial systems, reflecting both theoretical depth and hands-on engineering. Notably, she has worked on distinguishing dynamic versus static obstacles for SLAM and on control solutions for uncertain physical plants, demonstrating a rare bridge between academic theory and real-world deployment.
7 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Best Thesis Award, Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Best Thesis Award at Nanyang Technological UniversityMaster of Engineering (M.Eng.), Electrical and Electronics Engineering, A+, Master of Engineering (M.Eng.), Electrical and Electronics Engineering, A+ at Khaje Nasir Toosi University of Technology
English, Persian, Swedish
Github Skills (15)
github9
git9
api8
reinforcement-learning-environments7
reinforcement-learning7
patch7
q-learning6
subversion5
agent5
gymnasium5
pytorch4
tensorflow3
deep-reinforcement-learning1
machine-learning1
deep-learning1
Programming languages (3)
Github contributions (5)
FarnazAdib/Crash_course_on_RL
Nov 2020 - Mar 2021
Contributions:35 commits, 33 pushes, 1 branch in 4 months
FarnazAdib/useful_inequalities_in_regret
Oct 2023 - Dec 2024
Contributions:12 pushes, 1 branch in 1 year 2 months
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