Topic

Karim Faez

Also published under:K. Faez

Affiliation

Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

Topic

Convolutional Layers,Convolutional Neural Network,Dice Similarity Coefficient,Accuracy Metrics,Adam Optimizer,Attention Mechanism,Augmentation Techniques,Automatic Segmentation,Automatic Segmentation Method,Average Pooling Layer,Batch Normalization,Batch Normalization Layer,Brain Data,COCO Dataset,Color Features,Computer-aided Diagnosis,Convolutional Encoder,Convolutional Network,Cost Function,Decoder Part,Decoding,Deep Learning,Deep Models,Deep Neural Network,Denoising,Depthwise Convolution,Dermoscopic Images,Dropout Layer,Dynamic Datasets,Dynamic Friction,Dynamic Mode,Dynamic Touch,EEG Data,EEG Signals,Essential Information,Expert System,Extreme Learning Machine,Feature Maps,Gabor Filters,Global Context,Global Context Information,Global Information,Graphics Card,HMAX Model,Hausdorff Distance,Horizontal Rotation,Human Visual System,Image Object,Image Segmentation,Image Texture,

Biography

Karim Faez received the B.Sc. degree (First Rank) in electrical engineering from Tehran Polytechnic University, Tehran, Iran, in 1973, and the M.Sc. and Ph.D. degrees in computer science from the University of California at Los Angeles (UCLA), Los Angeles, CA, USA, in 1977 and 1980, respectively.
His current research interests include biometrics recognition and authentication, pattern recognition, image processing, neural networks, signal processing, Farsi handwritten processing, earthquake signal processing, fault tolerance system design, computer networks, and hardware design.