Moustafa, Mohamed said attia

mohd_mostafa@sci.asu.edu.eg

Department of Chemistry - Science
Interests: Biosensors, diagnosis of diseases, cancer diagnosis, fluorescence, lanthanides complexes, lifetime, analytical chemistry, nano optical sensors, biochemistry, nanotechnology for early diagnosis of diseases,
Internal ID: rp11465

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Full Name
Moustafa, Mohamed said attia
 
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Biography
Prof. Dr. Mohamed S. Attia is the leader of the research group for early diagnosis of diseases,
especially cancer diseases, using nano-optical sensors at Ain Shams University. He received his PhD
from Ain Shams University in 2006. He received Professor of Analytical Chemistry in 2017 from Ain
Shams University. M. S. Attia has around 99 publications that include 87 papers and 6 books
published in international journals and conferences in the past 10 years. He is an editorial board
member of 10 international journals. His research areas of interest include the development of
nanooptical biosensor based on lanthanide and transition elements complexes such as; Eu, Tb, Sm,
Pd, Pt, and Au for early diagnosis of diseases especially cancer diseases such as liver cancer, breast
cancer, ovarian cancer, colon cancer prostate cancer and thyroid cancer by follow up the biologicals
molecules in different body fluid samples. Prof. Attia supervised about 70 master students and 40
PhD students in the field of optical sensors and he had developed different sensors and methods to
detect drugs, hormones, enzymes, and proteins in different body fluids. Prof. Attia utilizes diverse
methods, instruments and techniques for his research, including Absorption and Emission
Spectroscopy, chromatography, Scanning electron microscope, FTIR, XRD, Transmission electron
microscope, Atomic force microscope. His h-index is 27with total citations of 1113 and his google
Scholar h-index 26 and total citations 1227. He has received many scientific awards, including the
State Incentive Award in 2012 and the Venice Kamel Prize for Innovations in 2011. He was selected
to be one of best 2% scientists in the world for 2019-2020(Ain Shams university (asu.edu.eg)),
2020-2021(Ain Shams university (asu.edu.eg) and 2021-2022 (Ain Shams university (asu.edu.eg)

Publications

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Issue DateTitleAuthor(s)
11-Apr-2019Color instance segmentation and classification of cervix imagesSaid, Marwa; Moustafa, Mohamed said attia ; Wahba, Ayman