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- Computing and Processing
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Mohammadreza Binesh Marvasti
Also published under:Mohammad Reza Binesh Marvasti
Affiliation
Kharazmi University, Tehran, Iran
Topic
Convolutional Neural Network,Energy Consumption,Neural Network,Current Node,Data Transmission,Energy Of Nodes,Flash Memory,Neighboring Nodes,Number Of Steps,Optimal Policy,Recurrent Neural Network,Routing Method,Sensor Networks,Sink Node,Solid-state Drives,Training Algorithm,Wireless Networks,Wireless Sensor Networks,Accuracy Of Different Methods,Accuracy Of Neural Network,Accurate Parameters,Ad Hoc Networks,Address Mapping,Aggregation Techniques,Application Of Neural Networks,Automatic Identification System,Base Classifiers,Binary Tree,Blockchain Technology,Camera Images,Changes In Data,Cloud Computing,Cluster Head,Coding Method,Commercial Off-the-shelf,Complex Situations,Compression Algorithm,Compression Rate,Control Protocol,DNN Model,Data Augmentation,Data Block,Data Fusion,Data Pre-processing,Dataset Characteristics,Deep Learning,Deep Neural Network,Digital Networks,Drone Detection,Earlier Version,
Biography
Mohammadreza Binesh Marvasti received the M.Sc. degree from the Department of Electrical and Computer Engineering, University of Tehran, Iran, in 2007, and the Ph.D. degree in electrical and computer engineering from McMaster University, Canada, in 2013. He has served as a Faculty Member with the Department of Electrical and Computer Engineering, Kharazmi University. His research interests include computer architecture, low-power digital design, FPGAs, approximate computing, and on-chip interconnection networks.