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Ali C. Gurbuz
Also published under:Ali Cafer Gurbuz, Ali Cafer Gürbüz, A. Cafer Gürbüz, A. C. Gurbuz, Ali Cafer Gürbuz, Ali Gurbuz, A. Gurbuz, Ali Cafer GürbüZ, Ali Gürbüz
Affiliation
Department of Electrical and Computer Engineering, and Information Processing and Sensing Lab, Mississippi State University, Mississippi State, MS, USA
Topic
Convolutional Layers,Convolutional Neural Network,Short-time Fourier Transform,Human Activity Recognition,Neural Network,Deep Learning,Advanced Driver Assistance Systems,Convolutional Neural Network Model,Electromagnetic Interference,Soil Moisture Active Passive,Convolutional Block,Radar Data,Action Recognition,American Sign Language,Anechoic Chamber,Frequency Modulated Continuous Wave,Microwave Radiometer,Radiometric Measurements,Soil Moisture,Spectroscopic,Artificial Neural Network,Batch Normalization,Brightness Temperature,Center Frequency,Deep Neural Network,Global Navigation Satellite System,Graphics Processing Unit,Low-noise Amplifier,Performance Metrics,Radar System,Raw Data,Sign Language,Signal-to-noise Ratio Levels,Time-frequency Analysis,Training Dataset,Unmanned Aerial Systems,5G New Radio,Convolutional Neural Network Architecture,Deep Learning Architectures,Feature Maps,Frequency Band,Intermediate Frequency Signal,Learnable Parameters,Machine Learning Models,Mean Square Error,Number Of Filters,Orthogonal Frequency Division Multiplexing,Quadrature Phase Shift Keying,RF Front-end,Radio Frequency Data,
Biography
Ali C. Gurbuz (Senior Member, IEEE) received the B.S. degree in electrical engineering from Bilkent University, Ankara, Türkiye, in 2003, and the M.S. and Ph.D. degrees in electrical and computer engineering from Georgia Institute of Technology, Atlanta, GA, USA, in 2005 and 2008, respectively. From 2003 to 2009, he carried out research on compressive sensing based computational imaging problems with Georgia Tech. He held faculty positions with TOBB University and the University of Alabama, from 2009 to 2017, where he pursued an active research program on the development of sparse signal representations, compressive sensing theory and applications, radar and sensor array signal processing, and machine learning. Currently, he is an Associate Professor with the Department of Electrical and Computer Engineering, Mississippi State University, where he is also the Co-Director of Information Processing and Sensing (IMPRESS) Laboratory. He was a recipient of the Best Paper Award for Signal Processing Journal, in 2013; the Turkish Academy of Sciences Best Young Scholar Award in Electrical Engineering, in 2014; and the NSF CAREER Award, in 2021. He has served as an Associate Editor for several journals, such as Digital Signal Processing, EURASIP Journal on Advances in Signal Processing, and Physical Communications.