Publications

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In Press
Salaheldin, A., H. Mostafa, and A. M. Soliman, "Design Exploration for Network on Chip Based FPGAs: 2D and 3D Tiles to Router Interface", Elsevier Microelectronics Journal, In Press.
Belal, E., A. Nassar, and H. Mostafa, "Design of Microscale Piezoelectric Energy Harvesting System", IEEE International Mid-West Symposium on Circuits and Systems (MWSCAS 2019), Dallas, Texas, USA, In Press.
Ghobashy, A., A. Ashraf, A. H. Hassan, K. N. Salama, H. Mostafa, and A. M. Soliman, "Design Optimization Methodology for High-Efficiency RF-to-DC Converters", IEEE International Conference on Microelectronics (ICM 2019), Cairo, Egypt, In Press.
2923
2024
H., M. C., T. E. D. M. A., J. A. L., M. C. D., A. Catherine, K. M. R., J. P. H., Y. J. Carl, G. Savannah, B. J. - L. C., et al., "Diversity and community structure of anaerobic gut fungi in the rumen of wild and domesticated herbivores", Applied and Environmental MicrobiologyApplied and Environmental Microbiology, vol. 90, issue 2: American Society for Microbiology, pp. e01492-23, 2024. AbstractWebsite
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Sharief, M. H., A. A. Elghazaly, A. M. Al Abbas, R. S. Al Basri, and S. A. Alsirafy, "Does hematology rotation impact the interest of internal medicine residents in considering hematology as a career?", BMC Medical Education, vol. 24, issue 1, pp. 223, 2024. AbstractWebsite

The ongoing need for hematologists is not met in many parts of the world. The hematology rotation during internal medicine residency is an opportunity to attract more physicians to the hematology field. This study aimed to assess the impact of a hematology rotation on internal medicine residents’ interest in considering a hematology career.

Sherif, M., and Z. Elrashidy, "Determinants of reward crowdfunding success: Evidence from Covid-19 pandemic", Technovation, vol. 132, issue 4, pp. 21-64, 2024. doi.org10.1016j.technovation.2024.102985.pdf
Hassan, A. S., A. M. Khalil, and H. F. Nagy, "Data analysis and classical estimation methods of the bounded power Lomax distribution", Reliability: Theory & Applications , vol. 19, issue 1, pp. 770--789, 2024. pdf
Poznyak, A. S., H. M. Soliman, H. Alazki, E. Bayoumi, and M. D. Santis, "Decentralized passivity-based voltage tracker for islanded DC-microgrids: attracting ellipsoid approach", energies, vol. 17, issue 7, pp. art. no. 1529, 2024.
Bashal, A. H., J. Dhahri, K. Dhahri, and K. D. Khalil, "Deep insight into physical properties of carboxymethyl cellulose-barium oxide nanocomposites", International Journal of Biological Macromolecules, vol. 269, pp. 131935, 2024.
Yosri, A., M. Ghaith, and W. El-Dakhakhni, "Deep learning rapid flood risk predictions for climate resilience planning", Journal of Hydrology, vol. March 2024, pp. 130817, 2024.
Henedak, N. T., H. S. El-Abhar, D. M. Abdallah, K. A. Ahmed, and A. A. Soubh, "Demotion of canonical/non-canonical inflammasome and pyroptosis alleviates ischemia/reperfusion-induced acute kidney injury: Novel role of the D2/D3 receptor agonist ropinirole", Eur J Pharmacol, vol. 969, pp. 176460, 2024.
Elsheikh, A., A. S. Ibrahim, and M. H. Ismail, "Density-Based Anti-clustering for Scheduling D2D Communications", Wireless Networks, pp. 1-11, 2024.
SOLIMAN, M. A. H. M. O. U. D. A., A. M. Mahmoud, E. S. Elzanfaly, and L. A. E. Fattah, "Design and application of supramolecular based solid-contact ion-selective electrode for selective green determination of tenofovir disoproxil fumarate", International Journal of Electrochemical Science, vol. 19, issue 2, pp. 100477, 2024.
SOLIMAN, M. A. H. M. O. U. D. A., A. M. Mahmoud, E. S. Elzanfaly, and L. A. E. Fattah, "Design and application of supramolecular based solid-contact ion-selective electrode for selective green determination of tenofovir disoproxil fumarate", International Journal of Electrochemical Science, vol. 19, no. 2: Elsevier, pp. 100477, 2024. Abstract
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El-Malah, A., A. M. Malebari, A. N. Khayyat, M. M. Gineinah, and Z. Mahmoud, "Design, synthesis, and antiproliferative activities of novel substitutedhydrazone/triazolo-linked quinazoline derivatives", Journal of Molecular Structure , vol. 1306 , pp. 137822, 2024. 1-s2.0-s0022286024003454-main.pdf
Ayoup, M. S., M. R. Barakat, H. Abdel-Hamid, E. Emam, Y. S. Al-Faiyz, A. A. Masoud, D. A. Ghareeb, A. Sonousi, and A. S. M. A. A. E. KASSAB, "Design, synthesis, and biological evaluation of 1,2,4-oxadiazole-based derivatives as multitarget anti-Alzheimer agents", RSC Medicinal Chemistry, 2024.
Odeh, D. M., H. A. Allam, F. Baselious, W. R. Mahmoud, M. M. Odeh, H. S. Ibrahim, H. A. Abdel‐Aziz, and E. R. Mohammed, "Design, synthesis, and biological evaluation of dinaciclib and CAN508 hybrids as CDK inhibitors", Drug Development Research, vol. 85, issue 3, pp. e22193, 2024. paper_25.pdf
Abd-Rabo, Z. S., R. F. George, D. K. Zaafar, A. Y. Gawish, and A. M. Serry, "Design, synthesis, and biological evaluation of some new 2-phenyl-3,6-pyridazinedione derivatives as PDE-5 inhibitors", Bioorrganic Chemistry, vol. 145, pp. 107213, 2024.
El-Saeed, M., W. Tawfik, A. A. I. Khalil, and M. Fikry, "Detection of heavy metal elements by using advanced optical techniques", Journal of the Egyptian Society for Basic Sciences-Physics (JESBSP), vol. 1, issue 1, pp. 97 - 125, 2024.
Tawfik, W., M. El-Saeed, A. Khalil, and M. Fikry, "Detection of heavy metal elements by using advanced optical techniques", Journal of the Egyptian Society for Basic Sciences-Physics, vol. 1, no. 1: Egyptian Society for Basic Sciences, pp. 99–127, 2024. Abstract
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Abdelgwad, M., W. Tawfik, A. Zedan, and O. Radwan, "Determination of Saturated and Unsaturated Hydrocarbons in Petroleum Oil Pesticides using FTIR Spectroscopy", Egyptian Journal of Chemistry, vol. 67, issue 2: National Information and Documentation Centre (NIDOC), Academy of Scientific …, pp. 581-585, 2024. Abstract
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Abdelgwad, M., W. Tawfik, A. Zedan, and O. Radwan, "Determination of Saturated and Unsaturated Hydrocarbons in Petroleum Oil Pesticides using FTIR Spectroscopy", Egyptian Journal of Chemistry, vol. 67, no. 2: National Information and Documentation Centre (NIDOC), Academy of Scientific …, pp. 581–585, 2024. Abstract
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Kheir, A. M. S., A. Govind, V. Nangia, M. Devkota, A. Elnashar, M. E. D. Omar, and T. Feike, "Developing automated machine learning approach for fast and robust crop yield prediction using a fusion of remote sensing, soil, and weather dataset", Environmental Research Communications, vol. 6, issue 4, pp. 041005, 2024. AbstractWebsite

Estimating smallholder crop yields robustly and timely is crucial for improving agronomic practices, determining yield gaps, guiding investment, and policymaking to ensure food security. However, there is poor estimation of yield for most smallholders due to lack of technology, and field scale data, particularly in Egypt. Automated machine learning (AutoML) can be used to automate the machine learning workflow, including automatic training and optimization of multiple models within a user-specified time frame, but it has less attention so far. Here, we combined extensive field survey yield across wheat cultivated area in Egypt with diverse dataset of remote sensing, soil, and weather to predict field-level wheat yield using 22 Ml models in AutoML. The models showed robust accuracies for yield predictions, recording Willmott degree of agreement, (d > 0.80) with higher accuracy when super learner (stacked ensemble) was used (R2 = 0.51, d = 0.82). The trained AutoML was deployed to predict yield using remote sensing (RS) vegetative indices (VIs), demonstrating a good correlation with actual yield (R2 = 0.7). This is very important since it is considered a low-cost tool and could be used to explore early yield predictions. Since climate change has negative impacts on agricultural production and food security with some uncertainties, AutoML was deployed to predict wheat yield under recent climate scenarios from the Coupled Model Intercomparison Project Phase 6 (CMIP6). These scenarios included single downscaled General Circulation Model (GCM) as CanESM5 and two shared socioeconomic pathways (SSPs) as SSP2-4.5and SSP5-8.5during the mid-term period (2050). The stacked ensemble model displayed declines in yield of 21% and 5% under SSP5-8.5 and SSP2-4.5 respectively during mid-century, with higher uncertainty under the highest emission scenario (SSP5-8.5). The developed approach could be used as a rapid, accurate and low-cost method to predict yield for stakeholder farms all over the world where ground data is scarce.

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