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Amirhossein Nikoofard
Also published under:A. H. Nikoofard, Amir Hossein Nikoofard
Affiliation
Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran
Topic
Model Predictive Control,Neural Network,Cost Function,Deep Neural Network,Low-pass,Model Performance,Prediction Horizon,Adaptive Control,Computed Tomography,Control Horizon,Control Performance,Control Signal,Convolutional Neural Network,Data Augmentation,Deep Learning,F1 Score,Intracerebral Hemorrhage,Intracranial Hemorrhage,Medical Imaging,Nonlinear Model,Objective Function,Optimal Control,Performance Indicators,Precision And Recall,Presence Of Noise,Reference Signal,Traumatic Brain Injury,3D Images,Accuracy And Precision,Accuracy Scores,Accurate Diagnosis,Activation Energy,Active Disturbance Rejection Control,Amount Of Generation,Artificial Neural Network,Attention Block,Attention Mechanism,Attention Module,Average Precision,Bounding Box,Brain CT Scan,Brain Tissue,Capsule Network,Cardiac Cycle,Cardiac Imaging,Carious Lesions,Center For Control,Central Method,Combined Heat And Power,Computational Load,
Biography
Amirhossein Nikoofard (Member, IEEE) received the B.Sc. and M.Sc. degrees in electrical and computer engineering from the University of Tehran, Tehran, Iran, in 2008 and 2011, respectively, and the Ph.D. degree in electrical and computer engineering from the Norwegian University of Science and Technology, Trondheim, Norway, in 2016. He is currently an Assistant Professor of Electrical Engineering with the K. N. Toosi University of Technology, Tehran. His current research interests include nonlinear and adaptive estimation, optimization, adaptive control, game theory, soft computing, deep learning, and MPC.