Biography

Dr. Ashraf Darwish

Department of Computer Science

Helwan University, Egypt

Associate Professor


Email: [email protected], [email protected]


Qualifications

2006 Ph.D., Saint Petersburg State University, Russian Federation

1996 M.S., Tanata University, Egypt

1990 B.S., Tanata University, Egypt


Publications (selected)

  1. Basha, S. H., Ahmed, M. M., Abdelnapi, N. M., et al. (2025). Neutrosophic c-means and pre-trained AlexNet FC8 deep learning for classification of carbon emissions levels in Forest Biomass. Applied Soft Computing, 183, 113613.
  2. Mohammed, K. K., Dahmani, N., Ahmed, R., et al. (2025). An Explainable AI and Optimized Multi-Branch Convolutional Neural Network Model for Eye Anemia Diagnosis. IEEE Access, 13, 71840-71857.
  3. Sayed, G. I., El-Latif, E. I. A., Darwish, A., et al. (2024). An optimized and interpretable carbon price prediction: Explainable deep learning model. Chaos, Solitons & Fractals, 188, 115533.
  4. Ahmed, R., Shehab, S. A., Elzeki, O. M., et al. (2024). An explainable AI for green hydrogen production: A deep learning regression model. International Journal of Hydrogen Energy, 83, 1226-1242.
  5. Askr, H., El-dosuky, M., Darwish, A., et al. (2024). Explainable ResNet50 learning model based on copula entropy for cotton plant disease prediction. Applied Soft Computing, 164, 112009.
  6. Gad, I., Torky, M., Elshaier, Y. A. M. M., et al. (2024). COVID-19 drug repurposing model based on pigeon-inspired optimizer and rough sets theory. Neural Computing & Applications, 57(2), 36.
  7. Soliman, M. M., Ahmed, E., Darwish, A., et al. (2024). Artificial intelligence powered Metaverse: analysis, challenges and future perspectives. Artificial Intelligence Review, 57(2), 36.
  8. Ahmed, R., Dahmani, N., Dahy, G., et al. (2024). Early Detection and Categorization of Cervical Cancer Cells Using Smoothing Cross Entropy-Based Multi-Deep Transfer Learning. IEEE Access, 12, 157838-157853.
  9. Hassanien, A. E., Abouelmagd, L. M., Mahmoud, A. S., et al. (2023). An optimized backpropagation neural network models for the prediction of nanomaterials concentration for purification industrial wastewater. Engineering Applications of Artificial Intelligence, 126, 107010.
  10. AbouEl-Magd, L. M., Darwish, A., Snasel, V., et al. (2023). A pre-trained convolutional neural network with optimized capsule networks for chest X-rays COVID-19 diagnosis. Cluster Computing, 26(2), 1389-1403.
  11. Amin, H., Darwish, A., Hassanien, A. E., et al. (2022). End-to-End Deep Learning Model for Corn Leaf Disease Classification. IEEE Access, 10, 31103-31115.
  12. Rizk-Allah, R. M., Slowik, A., Darwish, A., et al. (2021). Orthogonal Latin squares-based firefly optimization algorithm for industrial quadratic assignment tasks. Neural Computing & Applications, 33(23), 16675-16696.
  13. Ezzat, D., Hassanien, A. E., Darwish, A., et al. (2021). Multi-Objective Hybrid Artificial Intelligence Approach for Fault Diagnosis of Aerospace Systems. IEEE Access, 9, 41717-41730.
  14. Tharwat, A., Darwish, A., & Hassanien, A. E. (2020). Rough sets and social ski-driver optimization for drug toxicity analysis. Computer Methods and Programs in Biomedicine, 197, 105702.
  15. Hassanien, A. E., Darwish, A., & Abdelghafar, S. (2020). Machine learning in telemetry data mining of space mission: basics, challenging and future directions. Artificial Intelligence Review, 53(5), 3201-3230.
  16. Sayed, G. I., Darwish, A., & Hassanien, A. E. (2020). Binary Whale Optimization Algorithm and Binary Moth Flame Optimization with Clustering Algorithms for Clinical Breast Cancer Diagnoses. Journal of Classification, 37(1), 66-96.
  17. Darwish, A., Hassanien, A. E., & Das, S. (2020). A survey of swarm and evolutionary computing approaches for deep learning. Artificial Intelligence Review, 53(3), 1767-1812.
  18. Darwish, A., Ezzat, D., & Hassanien, A. E. (2020). An optimized model based on convolutional neural networks and orthogonal learning particle swarm optimization algorithm for plant diseases diagnosis. Swarm and Evolutionary Computation, 52, 100616.
  19. Anter, A. M., Moemen, Y. S., Darwish, A., et al. (2020). Multi-target QSAR modelling of chemo-genomic data analysis based on Extreme Learning Machine. Knowledge-Based Systems, 188, 104977.
  20. Darwish, A., & Hassanien, A. E. (2018). Cyber physical systems design, methodology, and integration: the current status and future outlook. Journal of Ambient Intelligence and Humanized Computing, 9(5), 1541-1556.
  21. Sayed, G. I., Darwish, A., & Hassanien, A. E. (2018). A New Chaotic Whale Optimization Algorithm for Features Selection. Journal of Classification, 35(2), 300-344.
  22. Sayed, G. I., Darwish, A., & Hassanien, A. E. (2018). A new chaotic multi-verse optimization algorithm for solving engineering optimization problems. Journal of Experimental & Theoretical Artificial Intelligence, 30(2), 293-317.
  23. Darwish, A., & Poleshchuk, O. (2014). New models for monitoring and clustering of the state of plant species based on semantic spaces. Journal of Intelligent & Fuzzy Systems, 26(3), 1089-1094.
  24. Darwish, A., & Hassanien, A. E. (2011). Wearable and Implantable Wireless Sensor Network Solutions for Healthcare Monitoring. Sensors, 11(6), 5561-5595.
  25. Darwish, A., & Abraham, A. (2011). THE USE OF COMPUTATIONAL INTELLIGENCE IN DIGITAL WATERMARKING: REVIEW, CHALLENGES, AND NEW TRENDS. Neural Network World, 21(4), 277-297.

Profile Details

https://www.ahlia.edu.bh/faculty/prof-ashraf-darwish/
https://scholar.google.com/citations?user=JJF6Q3cAAAAJ&hl=en
https://www.researchgate.net/profile/Ashraf-Darwish-2

WOS ResearcherID: J-9806-2019

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