Publications

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Book Chapter
Ali, S. M., "Application of Perovskite-Based Nanomaterials as Catalysts for Energy Production Fuel Cells", Handbook of Nanomaterials and Nanocomposites for Energy and Environmental Applications: Springer Nature, 2021.
AbdelAty, A. M., A. T. Azar, S. Vaidyanathand, A. Ounnase, and A. G. Radwan, "Applications of Continuous- time Fractional Order Chaotic Systems", Mathematical Techniques of Fractional Order Systems: Elsevier , 2018.
Zawbaa, H. M., and E. Emary, "Applications of Flower Pollination Algorithm in Feature Selection and Knapsack Problems", Nature-Inspired Algorithms and Applied Optimization: Springer, 2018. book.pdf
Mohamed, R. R., "Applications of Nanocomposites in Environmental Remediation. pp 453-471. ", Advances in Nanocomposite Materials for Environmental and Energy Harvesting Applications. Engineering Materials.: Springer, 2022.
Mahmoud, M. G., Y. Zedan, A. - M. Samuel, V. Songmene, H. W. Doty, and F. H. Samuel, "Applications of Rare Earth Metals in Al-Si Cast Alloys", Advances in High-Entropy Alloys-Materials Research, Exotic Properties and Applications: IntechOpen, 2021. Abstract
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Abdrabo, K. I., M. Saber, S. A. Kantoush, T. ElGharbawi, T. Sumi, and B. Elboshy, "Applications of Remote Sensing for Flood Inundation Mapping at Urban Areas in MENA Region: Case Studies of Five Egyptian Cities", Applications of Space Techniques on the Natural Hazards in the MENA Region: Springer, pp. 307 - 330, 2022. Abstract
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Abdelhamid, I. A., M. R. Shaaban, and A. H. M. Elwahy, "Applications of the Vilsmeier reaction in heterocyclic chemistry", Advances in Heterocyclic Chemistry, vol. 136: Academic Press, pp. 171-223, 2022. Abstract
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Abdelhamid, I. A., M. R. Shaaban, and A. H. M. Elwahy, "Applications of the Vilsmeier reaction in heterocyclic chemistry", Advances in Heterocyclic Chemistry, vol. 136: Academic Press, pp. 171–223, 2022. Abstract
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Soliman, A. M., "Applications of the Voltage Mirror-Current Mirror in Realizing Analog Building Blocks", Pathological Elements in Analog Circuit Design, Switzerland, Springer, 2018. chapter_soliman.pdf
Soliman, A. M., "Applications of the VoltageMirror-Current Mirror in Realizing Analog Building Blocks", Pathological Elements in Analog Circuit Design, Switzerland, Springer, 2018.
Soliman, A. M., "Applications of the VoltageMirror-Current Mirror in Realizing Analog Building Blocks", Pathological Elements in Analog Circuit Design, Switzerland, Springer, 2018.
Husien, S., N. G. Mostafa, A. I. Salim, I. S. Fahim, L. A. Said, and A. G. Radwan, "Applied Techniques for Wastewater Treatment Physicochemical and Biological Methods", Wastewater Treatment Recycling, Management, and Valorization of Industrial Solid Wastes: CRC Press, 2023.
Husien, S., N. G. Mostafa, A. I. Salim, I. S. Fahim, L. A. Said, and A. G. Radwan, "Applied Techniques for Wastewater Treatment: Physicochemical and Biological Methods", Wastewater Treatment: CRC Press, pp. 57-88, 2023. Abstract
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Tarek, S., and M. Aboulnaga, "An Approach for Healthier, Smart and Sustainable Cities in the Time of COVID-19 Crisis: Mapping SSC Indicators with Quality of Life and SDGs", Sustainable Energy Development and Innovation: Selected Papers from the World Renewable Energy Congress (WREC) 2020, Cham, Springer International Publishing, pp. 383 - 388, 2022. Abstract

The concept of smart cities is not a new one, but it appeared by the latest innovations and developments of new smart technologies. Smart cities of the future, digitized cities and augmented cities are new theories and ideas that represent new norms based on the implementation of innovative technologies in cities’ planning and design. The COVID-19 crisis has forced all governments and people worldwide to work from home. These contingency measures forced government, organizations and citizens to get deeply involved in exploiting smart and digital technologies to pursue their daily businesses (higher education institutions, schools, hospitals, banks, companies and government entities). Due to such emergency of lockdown actions in cities resulted from the wide and rapid spread of such pandemic globally, a need for less polluted, cleaner and sustainable urban spaces is highly vital to limit the coronavirus spreading. This research focuses on the dimensions, characteristics and indicators of smart and sustainable cities that engaged with sustainability by highlighting its contribution to Sustainable Development Goals (SDGs) and discusses its role in creating healthier cities in the age of COVID-19. The paper aims at developing smart and sustainable cities’ solutions in urban areas to confront COVID-19 impacts. The research methodology is based on two approaches: a critical literature review of the main concepts and definitions of smart cities, the integration between smart cities’ concept and SDGs in addition to highlighting the impact of COVID-19 on the urban environment with emphasis on the lessons learned and actions needed to be adopted; and an analytical approach that proposes a matrix combining both smart and sustainability indicators to achieve greener and healthier cities, yet to control the spread of coronavirus; a raising need for urban life amidst/after the pandemic and its crisis. The matrix couples both the goals of smart cities and sustainable cities in order to map the contribution to SDGs in attaining a better and sustainable future. Results indicate that newly developed measures, in planning smart sustainable urban areas in cities, can assist in the adaptation of and achieving SDGs in the time of COVID-19.

Terra, E., and A. Mohammed, "An Approach for Textual Based Clustering Using Word Embedding", Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges, Cham, Springer International Publishing, pp. 261–280, 2020. Abstract

Numerous endeavors have been made to improve the retrieval procedure in Textual Case-Based Reasoning (TCBR) utilizing clustering and feature selection strategies. SOPHisticated Information Analysis (SOPHIA) approach is one of the most successful efforts which is characterized by its ability to work without the domain of knowledge or language dependency. SOPHIA is based on the conditional probability, which facilitates an advanced Knowledge Discovery (KD) framework for case-based retrieval. SOPHIA attracts clusters by themes which contain only one word in each. However, using one word is not sufficient to construct cluster attractors because the exclusion of the other words associated with that word in the same context could not give a full picture of the theme. The main contribution of this chapter is to introduce an enhanced clustering approach called GloSOPHIA (GloVe SOPHIA) that extends SOPHIA by integrating word embedding technique to enhance KD in TCBR. A new algorithm is proposed to feed SOPHIA with similar terms vector space gained from Global Vector (GloVe) embedding technique. The proposed approach is evaluated on two different language corpora and the results are compared with SOPHIA, K-means, and Self- Organizing Map (SOM) in several evaluation criteria. The results indicate that GloSOPHIA outperforms the other clustering methods in most of the evaluation criteria.

Hegazy, M. T., A. A. - M. Ahmed Mahmoud, H. Attia, and G. Ragab, "An Approach to the Diagnosis of Paraproteinemia", Paraproteinemia and Related Disorders: Springer International Publishing Cham, pp. 79-97, 2022. Abstract
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Václav Snášel, A. Keprt, A. Abraham, and A. E. Hassanien, "Approximate string matching by fuzzy automata", Man-Machine Interactions: Springer Berlin Heidelberg, pp. 281–290, 2009. Abstract
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Václav Snášel, A. Keprt, A. Abraham, and A. E. Hassanien, "Approximate string matching by fuzzy automata", Man-Machine Interactions: Springer Berlin Heidelberg, pp. 281–290, 2009. Abstract
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Mansour, D., "Arab Spring: Islam and global Identity", The Dramatic Change in the Political Culture in the Arab World: From Subject to Participant Culture: Is it Possible?", Bosnia, Research Papers of the Human Rights Conflict Prevention Center, vol. XI no. 1-2, University of Bihac,, , 2013. 1.jpeg2.jpeg
Abdel-Latif, M. M. M., "Arab students’ use of monitoring in their EFL composing: The role of linguistic knowledge.", In K. M. Bailey and R. M. Damerow (Eds.), The teaching and learning of English in the Arabic-speaking world, pp. 32-47., New York, Routledge , 2014.
Amin, D., "Arab Theater between Tradition and Modernity", The Modernist World, USA, Routledge, 2015.
Shaalan, K., A. Abdel-Monem, and A. Rafea, "Arabic Morphological Generation from Interlingua: A Rule-based Approach", Intelligent Information Processing III, vol. 228: Springer US, pp. 441-451, 2007. Abstractmorph_gen_mt.pdf

Arabic is a Semitic language that is rich in its morphology. Arabic has very numerous and complex morphological rules. Arabic morphological analysis has gained the focus of Arabic natural language processing research for a long time in order to achieve the automated understanding of Arabic. With the recent technological advances, Arabic natural language generation has received attentions in order to allow for a room for wider applications such as machine translation. For machine translation systems that support a large number of languages, interlingua-based machine translation approaches are particularly attractive. In this paper, we report our attempt at developing a rule-based Arabic morphological generator for task-oriented interlingua-based spoken dialogues. Examples of morphological generation results from the Arabic morphological generator will be given and will illustrate how the system works. Nevertheless, we will discuss the issues related to the morphological generation of Arabic words from an interlingua representation, and present how we have handled them.

Shaalan, K., and H. Raza, "Arabic Named Entity Recognition from Diverse Text Types", Advances in Natural Language Processing, vol. 5221: Springer Berlin Heidelberg, pp. 440-451, 2008. Abstractgotal_nera_.pdf

Name identification has been worked on quite intensively for the past few years, and has been incorporated into several products. Many researchers have attacked this problem in a variety of languages but only a few limited researches have focused on Named Entity Recognition (NER) for Arabic text due to the lack of resources for Arabic named entities and the limited amount of progress made in Arabic natural language processing in general. In this paper, we present the results of our attempt at the recognition and extraction of 10 most important named entities in Arabic script; the person name, location, company, date, time, price, measurement, phone number, ISBN and file name. We developed the system, Name Entity Recognition for Arabic (NERA), using a rule-based approach. The system consists of a whitelist representing a dictionary of names, and a grammar, in the form of regular expressions, which are responsible for recognizing the named entities. NERA is evaluated using our own corpora that are tagged in a semi-automated way, and the performance results achieved were satisfactory in terms of precision, recall, and f-measure.

Suloma, A., H. Fruita, D. R. Chavez, E. S. Garibay, and H. Y. Ogata, "Arachidonic Acid Distribution in Seaweed, Seagrass, Invertebrates and Dugong in Coral Reef Areas", Coral Reefs: Ecosystems, Environmental Impact and Current Threats : Nova Science Publishers, 2016.