Wael AbdAlmageed

Also published under:Wael Abdalmageed

Affiliation

Holcombe Department of Electrical and Computer Engineering, Clemson University, USA

Topic

Natural Images,Array Of Models,Attention Matrix,Attention Mechanism,Attribution Methods,Binary Cross-entropy Loss,Causal Connection,Causal Discovery,Causal Graph,Causal Mechanisms,Causal Structure,Co-occurrence Matrix,Data Fitting,Data Manifold,Detection Of Regions,Digital Manipulation,Duplicated Regions,Extensive Annotation,Fake News,False Positive Rate,Fast Fourier Transform,Feature Maps,Feature Space,Forecasting,Forensic,Generation Process,Granger Causality,Graph Generation,Higher Scale,Image Categories,Image Synthesis,Input Image,Input Time,Interesting Problem,Iterative Process,Iterative Refinement,Latent Space,Lower Scale,Matthews Correlation Coefficient,Maximum Overlap,Medical Imaging,Multiple Scales,Multivariate Data,Multivariate Time Series,Multivariate Time Series Data,Natarajan,Non-overlapping Patches,Non-stationary Data,Non-stationary Time Series,Non-stationary Time Series Data,

Biography

Wael AbdAlmageed received the PhD degree with distinction from the University of New Mexico, in 2003, where he was also selected as the Outstanding Graduate Student. He is a senior scientist in USC’s Information Sciences Institute. His research focus is on applying learning techniques to computer vision and bioinformatics. Prior to ISI, he was a research scientist with the University of Maryland.