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$50 USD / jam
Bendera EGYPT
cairo, egypt
$50 USD / jam
Sekarang jam 10:20 PTG di sini
Menyertai Ogos 27, 2020
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Osama S.

@osamasalem20

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$50 USD / jam
Bendera EGYPT
cairo, egypt
$50 USD / jam
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Kadar Upah Semula

scientific researcher and academic instructor

Associate Professor in Electrical Engineering Department. Conducted many funded projects in the area of digital signal processing, seismic signal processing, biomedical engineering, image processing, and artificial intelligence.

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Portfolio

11857746
11857746

Ulasan

Perubahan disimpan
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Pengalaman

Associate Professor

Tabuk University
Sep 2012 - Jun 2020 (7 tahun, 9 bulan)
Developed digital signal processing courses and scientific computing courses Redesigned the electrical engineering undergraduate program for Tabuk University to improve alignment with the ABET general and program-specific criteria and to place a stronger emphasis on systems principles and engineering design

Pendidikan

Ph.D.

King Fahd University of Petroleum & Minerals, Saudi Arabia 1994 - 1998
(4 tahun)

M.S.

King Fahd University of Petroleum & Minerals, Saudi Arabia 1992 - 1994
(2 tahun)

Penerbitan

Reservoir property prediction using abductive networks

GEOPHYSICS, Vol. 75, No. 1, pp. P1-P9, FEB. 2010
The abductive-network modeling technique was applied to predict the reservoir properties from seismic data. This technique alleviates the need to preprocess the data to choose a representative subset of the available attributes. The seismic data used here was extracted from Ghawar Field, Saudi Arabia. This technique derives a direct relation between the original seismic amplitude and the targeted property.

NMR signal enhancement via a new time-frequency transform

IEEE Transactions on Medical Imaging, vol. 20, no. 10, pp. 1018-1025, Oct. 2001
In this paper, a reliable method to reduce noise from nuclear magnetic resonance (NMR) signals using a recently developed linear critically sampled time-frequency transform is proposed.

New denoising scheme for magnetic resonance spectroscopy signals

IEEE Transactions on Medical Imaging, vol. 24, no. 6, pp. 809-816, June 2005
A new scheme for denoising magnetic resonance spectroscopy (MRS) signals is presented. This scheme is based on projecting noisy MRS signals in different domains, consecutively, and performing noise-filtering operations in these domains. The domains are chosen such that the noise portion, which is inseparable from the desired signal in one domain, is separable in the other.

Process scheduling optimization method

U.S. Patent US8260648B2, issued 2012-09-04
Process scheduling optimization method

Method for Removing Noise from Nuclear Magnetic Resonance Signals and Images

U.S. Patent 7,253,627 B1, issued AUG. 7, 2007
Method for Removing Noise from Nuclear Magnetic Resonance Signals and Images

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