Salah Abdo

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Affiliation

School of Engineering and Technology, UNSW Canberra, Canberra, ACT, Australia

Topic

Silicon Carbide,Finite-difference Time-domain,Heterostructures,High Power,Strong Coupling,Strong Coupling Regime,2D Materials,Absorption Cross-section,Accuracy And Precision,Adam Optimizer,Additive Noise,Aluminum Nitrate,Artificial Neural Network,Au Nanorods,Automatic Learning,Background Noise,Best-performing Model,Boron Atoms,Chemical Vapor Deposition,Chromium,Clear Speech,Confusion Matrix,Convolutional Layers,Convolutional Neural Network,Dark Current,Deep Learning,Deep Neural Network,Direct Gap,Discrete Cosine Transform,Dotted Curve,Electric Dipole,Electron Beam Lithography,Emissivity,Fast Fourier Transform,Feature Maps,Finite-difference Time-domain Simulations,Forward Network,Gallium Nitride,Gold Nanorods,Group Of Speakers,Hamming Window,Harsh Conditions,High Conductivity,Highest Accuracy,Hybrid Structure,Hyperparameters,Inductively Coupled Plasma,Large Enhancement,Large Splitting,Machine Learning,

Biography

Salah Abdo received the B.Sc. degree in communication and computer engineering from the Faculty of Engineering, Taiz, Yemen, in 2013, and the master’s degree in communication engineering from University Putra Malaysia, Seri Kembangan, Selangor, Malaysia, in 2022. He is currently pursuing the Ph.D. degree with the University of New South Wales, Canberra, ACT, Australia.
His primary research focuses on optoelectronics and 2-D photodetectors.