Magda El-Shenawee

Also published under:M. El-Shenawee, Magda El-shenawee, M. O. El-Shenawee, Magda O. El-Shenawee, M. El Shenawee

Affiliation

Dept. of Electrical Engineering and Computer Science, University of Arkansas, Fayetteville, AR, USA

Topic

Terahertz Imaging,Cancer Tissues,Deep Neural Network,Neural Network,Semantic Network,Semantic Segmentation,Semantic Segmentation Network,Training Labels,Artificial Neural Network,Black Phosphorus,Carrier Lifetime,Deep Learning,Electron Beam Lithography,Femtosecond Laser,Gallium Arsenide,Hexagonal Boron Nitride,Low-frequency Components,Medical Imaging,Noisy Labels,Pathological Images,Photoconductive Antenna,Pinhole,Synthetic Images,Terahertz Pulse,Terahertz Signal,Terahertz Spectroscopy,Time-domain Spectroscopy,Translation Network,Active Layer,Atrous Spatial Pyramid Pooling,Bias Voltage,Bicubic,Birefringence,Black Phosphorene,Breast Tumors,Bulk Crystals,Carrier Density,Carrier Mobility,Chest X-ray Images,Conversion Efficiency,Cross-entropy Loss,Crystal Thickness,Deep Network,Delay Line,Direction Of The Electric Field,Domain Adaptation,Drop Off,Dual Network,Electrode Geometry,Encoder-decoder Network,

Biography

Magda El-Shenawee (SM’02) received the Ph.D. degree from the University of Nebraska–Lincoln, Lincoln, NE, USA, in 1991.
He is currently a Professor of Electrical Engineering with the University of Arkansas, Fayetteville, AR, USA, since 2001. Her background is in electromagnetics, theory, measurements, and computational techniques. Her educational goals are promoting the online antenna courses for industry and the open electromagnetic laboratory for undergraduate students. She authored or coauthored more than 230 papers in refereed journals and conference proceedings. Her research interests included experimental terahertz imaging and spectroscopy, breast cancer imaging, image reconstruction algorithms, antennas design and measurements, computational electromagnetics, biopotentials, and biomagnetics of breast cancerous cells. Her current research focuses on terahertz imaging and spectroscopy of breast tumor's margins and on material characterization in the microwave, millimeter wave, and terahertz frequency bands.