Seyyed Amir Asghari

Affiliation

Kharazmi University, Tehran, Iran

Topic

Convolutional Neural Network,Energy Consumption,Neural Network,Commercial Off-the-shelf,Current Node,Data Transmission,Energy Of Nodes,Flash Memory,Machine Learning,Neighboring Nodes,Number Of Steps,Optimal Policy,Recurrent Neural Network,Routing Method,Sensor Networks,Sink Node,Solid-state Drives,Time Overhead,Training Algorithm,Wireless Networks,Wireless Sensor Networks,Accuracy Of Different Methods,Accuracy Of Neural Network,Accurate Parameters,Address Mapping,Aggregation Techniques,Application Of Neural Networks,Automatic Identification System,Average Linkage,Base Classifiers,Benchmark Test,Binary Tree,Camera Images,Changes In Data,Cloud Computing,Cluster Head,Clustering Algorithm,Clustering Phase,Coding Method,Collaborative Filtering,Combination Of Machine Learning,Complete Linkage,Complete Linkage Method,Complex Situations,Compression Algorithm,Compression Rate,Control Flow Graph,Control Protocol,Corrupted Data,DNN Model,

Biography

Seyyed Amir Asghari received the B.Sc. degree (hardware engineering major) and the M.Sc. and Ph.D. degrees (computer architecture major) from the Amirkabir University of Technology, in 2007, 2009, and 2013, respectively. He has served as a Faculty Member with the Department of Electrical and Computer Engineering, Kharazmi University. His current research interests include fault-tolerant design and real-time embedded system design.