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El-said, S. A., and A. E. Hassanien, "Artificial eye vision using wireless sensor networks", Wireless sensor networks: theory and applications. CRC Press, Taylor and Francis Group, Boca Raton, 2013. Abstract
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El-Said, S. A., Asmaa Osamaa, and A. E. Hassanien, "Optimized hierarchical routing technique for wireless sensors networks", Soft Computing, pp. Ausgabe 11/2016, 2016. AbstractWebsite

Wireless sensor networks are battery-powered ad hoc networks in which sensor nodes that are scattered over a region connect to each other and form multi-hop networks. Since these networks consist of sensors that are battery operated, care has to be taken so that these sensors use energy efficiently. This paper proposes an optimized hierarchical routing technique which aims to reduce the energy consumption and prolong network lifetime. In this technique, the selection of optimal cluster head (CHs) locations is based on artificial fish swarm algorithm that applies various behaviors such as preying, swarming, and following to the formulated clusters and then uses a fitness function to compare the outputs of these behaviors to select the best CHs locations. To prove the efficiency of the proposed technique, its performance is analyzed and compared to two other well-known energy efficient routing techniques: low-energy adaptive clustering hierarchy (LEACH) technique and particle swarm optimized (PSO) routing technique. Simulation results show the stability and efficiency of the proposed technique. Simulation results show that the proposed method outperforms both LEACH and PSO in terms of energy consumption, number of alive nodes, first node die, network lifetime, and total data packets received by the base station. This may be due to considering residual energies of nodes and their distance from base station , and alternating the CH role among cluster’s members. Alternating the CH role balances energy consumption and saves more energy in nodes.

El-Said, S. A., Asmaa Osamaa, and A. E. Hassanien, "Optimized hierarchical routing technique for wireless sensors networks", Soft Computing, vol. 20, no. 11: Springer Berlin Heidelberg, pp. 4549–4564, 2016. Abstract
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El-Said, S. A., Asmaa Osamaa, and A. E. Hassanien, "Optimized hierarchical routing technique for wireless sensors networks", Soft Computing, Springer, vol. July , 2015. Website
El-Said, S. A., H. M. A. Atta, and A. E. Hassanien, "Interactive soft tissue modelling for virtual reality surgery simulation and planning", International Journal of Computer Aided Engineering and Technology, vol. 9, no. 1: Inderscience Publishers (IEL), pp. 38–61, 2017. Abstract
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El-Masry1, W. H., Eid Emary, and A. E. Hassanien, "Automatic Liver CT Image Clustering based on Invasive Weed Optimization Algorithm ", The second International Conference on Engineering and Technology (ICET 2014), German Uni - Cairo Egypt, 19 Apr - 20 Apr , 2014.
El-Masry, W. H., Eid Emary, and A. E. Hassanien, "Automatic liver CT image clustering based on invasive weed optimization algorithm", Engineering and Technology (ICET), 2014 International Conference on: IEEE, pp. 1–5, 2014. Abstract
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El-Hosseini, M. A., A. E. Hassanien, A. Abraham, and H. Al-Qaheri, "Cultural-Based Genetic Algorithm: Design and Real World Applications", Intelligent Systems Design and Applications, 2008. ISDA'08. Eighth International Conference on, vol. 3: IEEE, pp. 488–493, 2008. Abstract
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El-Hosseini, M. A., A. E. Hassanien, A. Abraham, and H. Al-Qaheri, "Genetic annealing optimization: Design and real world applications", Intelligent Systems Design and Applications, 2008. ISDA'08. Eighth International Conference on, vol. 1: IEEE, pp. 183–188, 2008. Abstract
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El-Hosseini, M. A., A. E. Hassanien, A. Abraham, and H. Al-Qaheri, "Genetic annealing optimization: Design and real world applications", Intelligent Systems Design and Applications, 2008. ISDA'08. Eighth International Conference on, vol. 1: IEEE, pp. 183–188, 2008. Abstract
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El-Hosseini, M. A., A. E. Hassanien, A. Abraham, and H. Al-Qaheri, " Genetic Annealing Optimization: Design and Real World Applications.", Eighth International Conference on Intelligent Systems Design and Applications, ISDA 2008, , Kaohsiung, Taiwan,, 26-28 November , 2008. Abstract

Both simulated annealing (SA) and the genetic algorithms (GA) are stochastic and derivative-free optimization technique. SA operates on one solution at a time, while the GA maintains a large population of solutions, which are optimized simultaneously. Thus, the genetic algorithm takes advantage of the experience gained in the past exploration of the solution space. Since SA operates on one solution at a time, it has very little history to use in learning from past trials. SA has the ability to escape from any local point; even it is a global optimization technique. On the other hand, there is no guarantee that the GA algorithm will succeeded in escaping from any local minima, thus it makes sense to hybridize the genetic algorithm and the simulated annealing technique. In this paper, a novel genetically annealed algorithm is proposed and is tested against multidimensional and highly nonlinear cases; Fed-batch fermentor for Penicillin production, and isothermal continuous stirred tank reactor CSTR. It is evident from the results that the proposed algorithm gives good performance.

El-Hosseini, M. A., A. E. Hassanien, A. Abraham, and H. Al-Qaheri, "Cultural-Based Genetic Algorithm: Design and Real World Applications. ", Eighth International Conference on Intelligent Systems Design and Applications, ISDA 2008, Kaohsiung, Taiwan, pp.488-493 , 26-28 November, 2008. Abstract

Due to their excellent performance in solving combinatorial optimization problems, metaheuristics algorithms such as Genetic Algorithms GA [35], [18], [5], Simulated Annealing SA [34], [13] and Tabu Search TS make up another class of search methods that has been adopted to efficiently solve dynamic optimization problem. Most of these methods are confined to the population space and in addition the solutions of nonlinear problems become quite difficult especially when they are heavily constrained. They do not make full use of the historical information and lack prediction about the search space. Besides the knowledge that individuals inherited "genetic code" from their ancestors, there is another component called Culture. In this paper, a novel culture-based GA algorithm is proposed and is tested against multidimensional and highly nonlinear real world applications.

el-hoseny, M., Alaa Tharwat, and A. E. Hassanien, "Bezier Curve Based Path Planning in a Dynamic Field using Modified Genetic Algorithm", Journal of Computational Science, 2017. Website
El-Gayyar, M., H. F. ElYamany, T. Gaber, and A. E. Hassanien, "Social network framework for deaf and blind people based on cloud computing", Computer Science and Information Systems (FedCSIS), 2013 Federated Conference on: IEEE, pp. 1313–1319, 2013. Abstract
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El-Gayyar, M., H. F. ElYamany, T. Gaber, and A. E. Hassanien, "Social network framework for deaf and blind people based on cloud computing", Computer Science and Information Systems (FedCSIS), 2013 Federated Conference on: IEEE, pp. 1313–1319, 2013. Abstract
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El-dahshan, E., A. Redi, A. E. Hassanien, and K. Xiao, "Accurate detection of prostate boundary in ultrasound images using biologically-inspired spiking neural network", Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on: IEEE, pp. 308–311, 2007. Abstract
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El-Dahshan, E. - S. A., A. E. Hassanien, A. Radi, and S. Banerjee, "Ultrasound Biomicroscopy Glaucoma Images Analysis Based on Rough Set and Pulse Coupled Neural Network", Foundations of Computational Intelligence, Volume 2, pp. 275-293 , London, Springer , 2009. Abstract

The objective of this book chapter is to present the rough sets and pulse coupled neural network scheme for Ultrasound Biomicroscopy glaucoma images analysis. To increase the efficiency of the introduced scheme, an intensity adjustment process is applied first using the Pulse Coupled Neural Network (PCNN) with a median filter. This is followed by applying the PCNN-based segmentation algorithm to detect the boundary of the interior chamber of the eye image. Then, glaucoma clinical parameters have been calculated and normalized, followed by application of a rough set analysis to discover the dependency between the parameters and to generate set of reduct that contains minimal number of attributes. Finally, a rough confusion matrix is designed for discrimination to test whether they are normal or glaucomatous eyes. Experimental results show that the introduced scheme is very successful and has high detection accuracy.

El-Dahshan, E. - S. A., A. E. Hassanien, A. Radi, and S. Banerjee, "Ultrasound biomicroscopy glaucoma images analysis based on rough set and pulse coupled neural network", Foundations of Computational Intelligence Volume 2: Springer Berlin Heidelberg, pp. 275–293, 2009. Abstract
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El-dahshan, E., A. Redi, A. E. Hassanien, and K. Xiao, "Accurate detection of prostate boundary in ultrasound images using biologically-inspired spiking neural network", Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on: IEEE, pp. 308–311, 2007. Abstract
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El-dahshan, E., A. Redi, A. E. Hassanien, and K. Xiao, "Accurate detection of prostate boundary in ultrasound images using biologically-inspired spiking neural network", Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on: IEEE, pp. 308–311, 2007. Abstract
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El-Dahshan, E. - S. A., A. E. Hassanien, A. Radi, and S. Banerjee, "Ultrasound biomicroscopy glaucoma images analysis based on rough set and pulse coupled neural network", Foundations of Computational Intelligence Volume 2: Springer Berlin Heidelberg, pp. 275–293, 2009. Abstract
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El-Bendary, N., Esraa Elhariri, M. Hazman, S. M. Saleh, and A. E. Hassanien, "Cultivation-time recommender system based on climatic conditions for newly reclaimed lands in Egypt", Procedia Computer Science, vol. 96: Elsevier, pp. 110–119, 2016. Abstract
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El-Bendary, N., H. M. Zawbaa, A. E. Hassanien, and V. Snasel, "PCA-based home videos annotation system", International Journal of Reasoning-based Intelligent Systems, vol. 3, no. 2: Inderscience Publishers, pp. 71–79, 2011. Abstract
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El-Bendary, N., A. E. Hassanien, E. Corchado, and R. C. Berwick, "ARIAS: Automated retinal image analysis system", Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011: Springer Berlin Heidelberg, pp. 67–76, 2011. Abstract
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El-Bendary, N., A. E. Hassanien, J. Sedano, O. S. Soliman, and N. I. Ghali, "$μ$TESLA-based secure routing protocol for wireless sensor networks", Proceedings of the First International Workshop on Security and Privacy Preserving in e-Societies: ACM, pp. 34–39, 2011. Abstract
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