abdelatty E. Abdelgawad

abdelatty E. Abdelgawad

King Saud University

H-index: 7

Asia-Saudi Arabia

abdelatty E. Abdelgawad Information

University

King Saud University

Position

Industrial Engineering Department

Citations(all)

208

Citations(since 2020)

207

Cited By

2

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

King Saud University

Top articles of abdelatty E. Abdelgawad

Granular data modeling and analysis based on optimized subsets of data

The study proposes a way of developing granular models based on optimized subsets of data with different sampling sizes, in which three generally used models, namely Support Vector Machine, K-Nearest Neighbor, and Long Short-Term Memory, are designed and transformed into granular version for achieving a good performance with sufficient functionality. First, a collection of subsets are determined using different sampling methods, which are subsequently applied to play as an essential prerequisite of the proposed models. Then, the principle of justifiable granularity is utilized to the design of interval information granules based on the subsets of data. The design process is associated with a well-defined optimization problem realized by achieving a sound compromise between two conflicting criteria: coverage and specificity. To evaluate the performance of the granular models, two aspects are considered: (i …

Authors

Lihong Dong,Guanchen Li,Dan Wang,Zhenhua Yu,Emad Abouel Nasr,Abdelatty E Abdelgawad,Emad Fararah

Journal

Measurement and Control

Published Date

2023/1

Surface-coated magnetic nanostructured materials for robust bio-catalysis and biomedical applications-A review

BackgroundEnzymes based bio-catalysis has wide range of applications in various chemical and biological processes. Thus, the process of enzymes immobilization on suitable support to obtain highly active and stable bio-catalysts has great potential in industrial applications. Particularly, surface-modified magnetic nanomaterials have garnered a special interest as versatile platforms for biomolecules/enzyme immobilization.Aim of reviewThis review spotlights recent progress in the immobilization of various enzymes onto surface-coated multifunctional magnetic nanostructured materials and their derived nano-constructs for multiple applications. Conclusive remarks, technical challenges, and insightful opinions on this field of research which are helpful to expand the application prospects of these materials are also given with suitable examples.Key scientific concepts of reviewNanostructured materials, including …

Authors

Muhammad Bilal,Hafiz MN Iqbal,Syed Farooq Adil,Mohammed Rafi Shaik,Abdelatty Abdelgawad,Mohammad Rafe Hatshan,Mujeeb Khan

Published Date

2022/5/1

Impact of Macrodiols on the Morphological Behavior of H12MDI/HDO-Based Polyurethane Elastomer

In this study, we evaluated the morphological behavior of polyurethane elastomers (PUEs) by modifying the soft segment chain length. This was achieved by increasing the soft segment molecular weight (Mn = 400–4000 gmol−1). In this regard, polycaprolactone diol (PCL) was selected as the soft segment, and 4,4′-cyclohexamethylene diisocyanate (H12MDI) and 1,6-hexanediol (HDO) were chosen as the hard segments. The films were prepared by curing polymer on Teflon surfaces. Fourier transform infrared spectroscopy (FTIR) was utilized for functional group identification in the prepared elastomers. FTIR peaks indicated the disappearance of −NCO and −OH groups and the formation of urethane (NHCOO) groups. The morphological behavior of the synthesized polymer samples was also elucidated using scanning electron microscopy (SEM) and atomic force microscopy (AFM) techniques. The AFM and SEM results indicated that the extent of microphase separation was enhanced by an increase in the molecular weight of PCL. The phase separation and degree of crystallinity of the soft and hard segments were described using X-ray diffraction (XRD). It was observed that the degree of crystallinity of the synthesized polymers increased with an increase in the soft segment’s chain length. To evaluate hydrophilicity/hydrophobicity, the contact angle was measured. A gradual increase in the contact angle with distilled water and diiodomethane (38.6°–54.9°) test liquids was observed. Moreover, the decrease in surface energy (46.95–24.45 mN/m) was also found to be inconsistent by increasing the molecular weight of polyols.

Authors

Shazia Naheed,Mohammad Zuber,Mahwish Salman,Nasir Rasool,Zumaira Siddique,Mohammed Rafi Shaik,Mohammed AF Sharaf,Abdelatty Abdelgawad,Doumbia Sekou,Emad Mahrous Awwad

Journal

Polymers

Published Date

2021/6/23

Application of resolvability technique to investigate the different polyphenyl structures for polymer industry

Polyphenyl is used in a variety of applications including high-vacuum devices, optics, and electronics, and in high-temperature and radiation-resistant fluids and greases, it has low volatility, ionizing radiation stability, and high thermal-oxidative properties. The structure of polyphenyls can be represented using a molecular graph, where atoms represent vertices and bonds between atom edges. In a chemical structure, an item/vertex resolves two items if d v 1 , v ≠ d v 2 , v ; similarly, the ordered subset of vertices resolves each pair of distinct vertices named as the resolving set, and its minimum cardinality is described as metric dimension. In the pharmaceutical industry, the competition to find new chemical entities for treating a disease dictates larger project teams that encompass more extensive and diverse synthetic efforts directed at increasingly complicated activity spectra. In this paper, we determine the metric dimension of para-, meta-, and ortho-polyphenyl structures, which are used for structure-activity analysis of these polyphenyl structures.

Authors

Muhammad Faisal Nadeem,Mohsan Hassan,Muhammad Azeem,Salah Ud-Din Khan,Mohammed Rafi Shaik,Mohammed AF Sharaf,Abdelatty Abdelgawad,Emad Mahrous Awwad

Journal

Journal of Chemistry

Published Date

2021/4/20

Computational study of structural, molecular orbitals, optical and thermodynamic parameters of thiophene sulfonamide derivatives

Thiophene and sulfonamide derivatives serve as biologically active compounds, used for the manufacture of large numbers of new drugs. In this study, 11 selected derivatives of thiophene sulfonamide were computed for their geometric parameters, such as hyperpolarizability, chemical hardness (ƞ), electronic chemical potential (μ), electrophilicity index (ω), ionization potential (I), and electron affinity (A). In addition, FT-IR and UV-Vis spectra were also simulated through theoretical calculations. The geometrical parameters and vibrational frequencies with assignments of the vibrational spectra strongly resemble the experimentally calculated values. Besides, the frontier molecular orbitals were also determined for various intramolecular interactions that are responsible for the stability of the compounds. The isodensity surfaces of the frontier molecular orbitals (FMOs) are the same pattern in most of the compounds, but in some compounds are disturbed due to the presence of highly electronegative hetero-atoms. In this series of compounds, 3 shows the highest HOMO–LUMO energy gap and lowest hyperpolarizability, which leads to the most stable compound and less response to nonlinear optical (NLO), while 7 shows the lowest HOMO–LUMO energy gap and highest hyperpolarizability, which leads to a less stable compound and a high NLO response. All compounds have their extended three-dimensional p-electronic delocalization which plays an important role in studying NLO responses.

Authors

Adeel Mubarik,Nasir Rasool,Muhammad Ali Hashmi,Asim Mansha,Muhammad Zubair,Mohammed Rafi Shaik,Mohammed AF Sharaf,Emad Mahrous Awwad,Abdelatty Abdelgawad

Journal

Crystals

Published Date

2021/2/20

Mn3O4 nanoparticles: Synthesis, characterization and their antimicrobial and anticancer activity against A549 and MCF-7 cell lines

Due to their inexpensive and eco-friendly nature, and existence of manganese in various oxidation states and their natural abundance have attained significant attention for the formation of Mn3O4 nanoparticles (Mn3O4 NPs). Herein, we report the preparation of Mn3O4 nanoparticles using manganese nitrate as a precursor material by utilization of a precipitation technique. The as-prepared Mn3O4 nanoparticles (Mn3O4 NPs) were characterized by using X-ray powder diffraction (XRD), UV–Visible spectroscopy (UV–Vis), High-Resolution Transmission electron microscopy (HRTEM), Field emission scanning electron microscopy (FESEM), Thermal gravimetric analysis (TGA) and Fourier-transform infrared spectroscopy (FT-IR). The antimicrobial properties of the as-synthesized Mn3O4 nanoparticles were investigated against numerous bacterial and fungal strains including S. aureus, E. coli, B. subtilis, P. aeruginosa …

Authors

Mohammed Rafi Shaik,Rabbani Syed,Syed Farooq Adil,Mufsir Kuniyil,Mujeeb Khan,Mohammed S Alqahtani,Jilani P Shaik,Mohammed Rafiq H Siddiqui,Abdulrahman Al-Warthan,Mohammed AF Sharaf,Abdelatty Abdelgawad,Emad Mahrous Awwad

Journal

Saudi Journal of Biological Sciences

Published Date

2021/2/1

A qualitative and quantitative analysis of remanufacturing research

The advancements in human lifestyle result in growth in daily demands of products, and accordingly, an increased rate of manufacturing. However, the resources on the planet Earth are limited, thus depleting day-by-day. More goods also contribute to more end-of-life (EOL) dumping or even before EOL in some cases. Therefore, an interest in remanufacturing has appeared, and it offers a solution that can solve or perhaps mitigate the risks of consuming more resources and increasing waste. Remanufacturing is a procedure of bringing used products to “like-new” functional status with a matching warranty. However, due to its relative novelty in terms of research field and industry, remanufacturing is poorly understood. People often mix it with other terms such as recycling, reconditioning, or repair. Therefore, in this research, the focus is on the remanufacturing systems’ definition, relevance, main phases, case studies, and solution methods proposed by various researchers. The word ‘remanufacturing’ is clearly described in this paper by differentiating it from alternative green manufacturing initiatives. Both qualitative and quantitative analysis of literature are performed. The quantitative analysis is conducted using a bibliometric method. For quantitative analysis, a systematic approach is utilized for research papers’ selection. The qualitative analysis has been carried out by discussing different aspects of remanufacturing and how the researchers are working on its different domains and phases. The review showed that researchers focused on some phases more as compared with others. Moreover, it is also revealed from the literature that the common …

Authors

Bashir Salah,Aiman Ziout,Mohammed Alkahtani,Moath Alatefi,Abdelatty Abdelgawad,Ahmed Badwelan,Umar Syarif

Published Date

2021/10/1

Spilanthes acmella Leaves Extract for Corrosion Inhibition in Acid Medium

In the present study, the corrosion inhibition effect of Spilanthes acmella aqueous leaves extract (SA-LE) on mild steel was investigated in 1.0 M HCl solution at different temperature using weight loss, Tafel polarization, linear polarization resistance (LPR), and electrochemical impedance (EIS) measurements. Adsorption of inhibitor on the surface of the mild steel obeyed both Langmuir and Temkin adsorption isotherms. The thermodynamic and kinetic parameters were also calculated to determine the mechanism of corrosion inhibition. The inhibition efficiency was found to increase with an increase in the inhibitor concentration ie, Spilanthes acmella aqueous leaves extract, however, the inhibition efficiency decreased with an increase in the temperature. The phytochemical constituents with functional groups including electronegative hetero atoms such as N, O, and S in the extract adsorbed on the metal surface are found responsible for the effective performance of the inhibitor, which was confirmed by Fourier-transform infrared spectroscopy (FT-IR) and ultraviolet–visible spectroscopic (UV-Vis) studies. Protective film formation against corrosion was confirmed by scanning electron microscopy (SEM), atomic force microscopy (AFM), and contact angle studies. The result shows that the leaves extract acts as corrosion inhibitor and is able to promote surface protection by blocking active sites on the metal.

Authors

AAS Begum,RMA Vahith,V Kotra,MR Shaik,A Abdelgawad,EM Awwad,M Khan

Published Date

2021

Dilated semantic segmentation for breast ultrasonic lesion detection using parallel feature fusion

Breast cancer is becoming more dangerous by the day. The death rate in developing countries is rapidly increasing. As a result, early detection of breast cancer is critical, leading to a lower death rate. Several researchers have worked on breast cancer segmentation and classification using various imaging modalities. The ultrasonic imaging modality is one of the most cost-effective imaging techniques, with a higher sensitivity for diagnosis. The proposed study segments ultrasonic breast lesion images using a Dilated Semantic Segmentation Network (Di-CNN) combined with a morphological erosion operation. For feature extraction, we used the deep neural network DenseNet201 with transfer learning. We propose a 24-layer CNN that uses transfer learning-based feature extraction to further validate and ensure the enriched features with target intensity. To classify the nodules, the feature vectors obtained from DenseNet201 and the 24-layer CNN were fused using parallel fusion. The proposed methods were evaluated using a 10-fold cross-validation on various vector combinations. The accuracy of CNN-activated feature vectors and DenseNet201-activated feature vectors combined with the Support Vector Machine (SVM) classifier was 90.11 percent and 98.45 percent, respectively. With 98.9 percent accuracy, the fused version of the feature vector with SVM outperformed other algorithms. When compared to recent algorithms, the proposed algorithm achieves a better breast cancer diagnosis rate.

Authors

Rizwana Irfan,Abdulwahab Ali Almazroi,Hafiz Tayyab Rauf,Robertas Damaševičius,Emad Abouel Nasr,Abdelatty E Abdelgawad

Journal

Diagnostics

Published Date

2021/7/5

abdelatty E. Abdelgawad FAQs

What is abdelatty E. Abdelgawad's h-index at King Saud University?

The h-index of abdelatty E. Abdelgawad has been 7 since 2020 and 7 in total.

What are abdelatty E. Abdelgawad's top articles?

The articles with the titles of

Granular data modeling and analysis based on optimized subsets of data

Surface-coated magnetic nanostructured materials for robust bio-catalysis and biomedical applications-A review

Impact of Macrodiols on the Morphological Behavior of H12MDI/HDO-Based Polyurethane Elastomer

Application of resolvability technique to investigate the different polyphenyl structures for polymer industry

Computational study of structural, molecular orbitals, optical and thermodynamic parameters of thiophene sulfonamide derivatives

Mn3O4 nanoparticles: Synthesis, characterization and their antimicrobial and anticancer activity against A549 and MCF-7 cell lines

A qualitative and quantitative analysis of remanufacturing research

Spilanthes acmella Leaves Extract for Corrosion Inhibition in Acid Medium

...

are the top articles of abdelatty E. Abdelgawad at King Saud University.

What is abdelatty E. Abdelgawad's total number of citations?

abdelatty E. Abdelgawad has 208 citations in total.

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