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Farzaneh Abdollahi
Also published under:F. Abdollahi, Farzane Abdollahi
Affiliation
Faculty of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran
Topic
Battery Management System,Long Short-term Memory,Neural Network,Charge Discharge Cycles,Control Input,Convolutional Layers,Cost Function,Deep Learning,Deep Reinforcement Learning,Discharge Cycles,Electric Vehicles,Health Status,Optimal Control,Remaining Useful Life,Root Mean Square Error,State Of Charge,Action-value Function,Actuator Faults,Adaptive Law,Adaptive Neural Network,Adaptive Optimal Control,Angular Velocity,Application Potential,Attention Mechanism,Augmented Vector,Autonomous Vehicles,Backpropagation Through Time,Battery Capacity,Battery Charging,Battery Cycling,Battery Degradation,Battery Model,Battery Performance,Battery State-of-health,Calendar Age,Capacity Of Cells,Communication Layer,Communication Network,Complex Environment,Control Of Multi-agent Systems,Control Performance,Control Problem,Control Strategy,Control System,Cooperative Control,Curse Of Dimensionality,Data-driven Framework,Deep Q-network,Deep Reinforcement Learning Agent,Deep Reinforcement Learning Algorithm,
Biography
Farzaneh Abdollahi (S'98–M'09) received the B.Sc.
degree in electrical engineering from the Isfahan University of Technology, Isfahan, Iran, in 1999, the M.Sc. degree
in electrical engineering from the Amirkabir University of Technology, Tehran, Iran, in 2003, and the Ph.D. degree in
electrical engineering from Concordia University, Montreal, QC, Canada, in 2008. She is currently an Assistant
Professor with the Amirkabir University of Technology and a Research Assistant Professor with Concordia University.
Her research interests include neural networks, robotics, control of nonlinear systems, control of multiagent
networks, and robust and switching control.