Masoudreza Aghabozorgi

Also published under:M. R. Aghabozorgi, Massoud Reza Aghabozorgi, M. Aghabozorgi, Masoud Reza Aghabozorgi

Affiliation

Department of Electrical Engineering, Yazd University, Yazd, Iran

Topic

Audio Data,Deep Neural Network,Deep Neural Network Model,Denoising,Musical Instruments,Short-time Fourier Transform,Sound Processor,Sound Source,Achievable Rate,Additive Noise,Almost Surely,Artificial Neural Network,Audio-visual Data,Auditory System,Background Music,Beamforming Scheme,Channel Matrix,Clarinet,Cocktail Party,Codeword,Cognitive Networks,Cognitive Radio,Complete Elimination,Complex Gaussian Random Variables,Continuous Distribution,Covariance Matrix,Data Rate,Data Visualization,Deep Learning,Degrees Of Freedom,Detection Model,Fourier Coefficients,Frequency Band,High Signal-to-noise Ratio,Human Auditory System,Inception Module,Inception V3 Model,Interference Power,Interference Term,Layer Model,Multi-user Multiple-input Multiple-output,Music Source,Musical Sounds,Network Throughput,Neural Network,Noise Signal,Noise Sources,Noisy Environments,Noisy Signal,Non-negative Matrix Factorization,

Biography

Masoud Reza Aghabozorgi (M'11) was born in Yazd, Iran. He received the B.Sc., M.Sc., and Ph.D. degrees from Isfahan University of Technology, Isfahan, Iran, in 1993, 1996, and 2002, respectively, all in electrical engineering.
He is currently an Assistant Professor with the Department of Electrical and Computer Engineering, Yazd University. His research interests include signal processing, particularly blind source separation, time–frequency analysis, and information theory.