Hassan, H., E. Nabil, and M. Rady, "Different Aspects for Supplier Evaluation and Selection to Improve Supply Chain Performance", International Journal of Electrical & Computer Sciences IJECS-IJENS, vol. 15, issue 6, pp. 35-51, 2015. 158006-1717-ijecs-ijens.pdf
Hossny, E., S. Khattab, F. Omara, and H. Hassan, "Semantic-based generation of generic-API adapters for portable cloud applications", CrossCloud '16 Proceedings of the 3rd Workshop on CrossCloud Infrastructures & Platforms, UK, April, 2016.
Hassan, H., E. Nabil, and M. RADY., "A Model for Evaluating and Improving Supply Chain Performance", International Journal of Computer Science and Software Engineering , vol. 4, issue 11, pp. 283-302, 2015.
Hassan, H., E. Nabil, and M. Rady, "Supply Chain Performance Paradigms: A Survey", International Journal of Electrical & Computer Sciences IJECS-IJENS, vol. 15, issue 6, pp. 6-22, 2015. 157906-3838-ijecs-ijens.pdf
Othman, M., H. Hassan, R. Moawad, and A. M. Idrees, "A Linguistic Approach for Opinionated Documents Summary", Research Journal of Applied Sciences, Engineering and Technology, Maxwell Publication, In Press.
Othman, M., H. Hassan, R. Moawad, and A. M. Idrees, "Using NLP Approach for Opinion Types Classifier", Journal of Computers (JCP),, vol. 11, issue 5, 2016.
Mohsen, A. M., H. A. Hassan, and A. M. Idrees, "A Proposed Approach for Emotion Lexicon Enrichment", ICDAR 2016: International Conference on Document Analysis and Recognition, vol. 2, no. 1, Johannesburg, South Africa, Fayoum University, pp. 1786, Jan 12-13, 2016. Abstract

Document analysis is an important research field that aims to gather information by analyzing data in documents. As one of the important targets for many fields is to understand what people actually want, sentimental analysis field has been one of the vital fields that are tightly related to the document analysis. This research focuses on analyzing text documents to classify each document according to its opinion. The aim of this research is to detect the emotions from text documents based on enhancing the lexicon based approach. The proposed approach has been presented and different experiments are applied by different perspectives to reveal the positive impact of the proposed approach on the classification results.

Mohsen, A. M., H. A. Hassan, and A. M. Idrees, "Documents Emotions Classification Model Based on TF-IDF Weighting Measure", ICEDM 2016: International Conference on Educational Data Mining,, , vol. 2, no. 1, Copenhagen, Denmark, Fayoum University, pp. 1795, Jun 27-28, 2016.
Hossny, E., S. Khattab, F. Omara, and H. Hassan, "A Case Study for Deploying Applications on Heterogeneous PaaS Platforms", Cloud Computing and Big Data (CloudCom-Asia), 2013 International Conference on, pp. 246-253, Dec, 2013. Abstract

Cloud Platform-as-a-Service (PaaS) model provides developers with the ability to deploy and manage their applications remotely through the cloud and pay only for actual usage hours. Currently, there is no standard API for PaaS management and deployment, each PaaS provider has its own specific APIs (e.g., Google AppEngine (GAE), OpenShift (OS), Cloud Foundry (CF), and Windows Azure). Therefore, deploying applications on heterogeneous PaaS platforms is considered one of the challenges that make some developers worry about using PaaS services. Such challenge can be solved by providing a standard or a generic API that overcomes PaaS API heterogeneity. The aim of this paper is to report on our effort to use and extend a generic API, namely the COAPS API, which supports deployment and management on Cloud Foundry and OpenShift. According to the work in this paper, an extension of the COAPS API is provided to include the deployment on Google AppEngine as a case study to demonstrate COAPS API generality.

Mohamed, M., G. H. Galal-Edeen, H. A. Hassan, E. E. Hasanien, and others, "An evaluation of enterprise architecture frameworks for e-government", Computer Engineering & Systems (ICCES), 2012 Seventh International Conference on: IEEE, pp. 255–260, 2012. Abstract
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