Mohamed El-Eliemy

@kau.edu.sa

Information Systems/ Faculty of Computing and Information Technology
King Abdulaziz Univeristy

Mohamed El-Eliemy


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https://researchid.co/dimilala
Mohamed El-Eiemy is a Professor with more than 20 years of experience in Research and Teaching Information Management and Analysis. He has been employed in leading universities in MENA and Europe during his career with a highly cited publication profile and numerous research and education projects.
Mohamed El-Eliemy is an expert who has acquired outstanding experience working at the top IT strategic management in very large enterprises where he has participated in the IT strategic vision of digital transformation. Mohamed El-Eliemy has also participated in and led teams in several IT projects in Health, Banking, and Education sectors.

EDUCATION

PhD in Computer Science, FSU University of Jena Germany 2010

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Information Systems, Computer Networks and Communications, Artificial Intelligence
43

Scopus Publications

Scopus Publications

  • Weakly Supervised Deep Learning for Arabic Tweet Sentiment Analysis on Education Reforms: Leveraging Pre-Trained Models and LLMs with Snorkel
    Alanoud Alotaibi, Farrukh Nadeem, Mohamed Hamdy
    IEEE Access, 2025
    This study introduces a novel approach to sentiment classification of Arabic tweets regarding educational reforms in Saudi Arabia. The complexity of the Arabic language, with its numerous dialects, poses challenges for natural language processing tasks, particularly when large volumes of data require manual annotation. To overcome the limitations of traditional labeling methods, we developed a weakly supervised learning framework that combines LLMs (GPT-3.5) and pre-trained language models (MarBERT and XLM-RoBERTa) to generate high-quality weakly labeled training data using the Snorkel framework. We fine-tuned the AraBERT model with this weakly labeled data for sentiment classification. Our experimental results demonstrated the effectiveness of the proposed approach, achieving 83% precision, 76% recall, and an 85% F1 score in classifying tweets as positive, negative, or neutral. Comparative analysis showed that GPT-3.5 outperformed Llama 2 in prompting tasks, and our weakly supervised model surpassed baseline machine learning methods. These findings highlight the potential of weakly supervised learning in analyzing public opinion on Arabic social media platforms without relying on large, labeled datasets.
  • Enabling Moving Services in Enterprise Computing
    Mohamed Hamdy, Ahmed Samy, Mohamed Dahab, Khaled ElBahnasy
    2025 2nd International Conference on Advanced Innovations in Smart Cities Icaisc 2025, 2025
    Recently., ICT enables new models for enterprise applications and resources such as Cloud computing. The common business applications and resources management within an enterprise compose the enterprise computing environment. The wireless and mobile infrastructure support in an enterprise computing environment for mobile applications represents the common feature of the modern enterprise computing. This work proposes a model for utilizing the role of service mobility or what is called (in this work) the “moving services”” in an intermediary layer between cloud data service providers and their clients inside an enterprise computing environment. The model enables a better service mobility coverage for an enterprise. This intermediary layer introduces a required Edge/Fog computing layer that uses the wireless infrastructure to support a better data service allocation for the mobile clients and applications. This work considers the integration between Cloud Data services and their replicas inside enterprise environment. Moreover., the infrastructure of wireless enterprise networks and the challenges of deploying this model are introduced and discussed.
  • Selfish-Free Influential Nodes Detection in Mobile Social Networks
    Doaa AbdelMohsen, Tamer Abdelkader, Mohamed Hamdy, Khaled ElBahnasy
    2025 2nd International Conference on Advanced Innovations in Smart Cities Icaisc 2025, 2025
    Mobile networks where users group in communities based on their interests, and disseminate data mainly to their community using their mobile devices, are called Mobile Social Networks (MSN). However, the efficiency of data dissemination becomes a challenging problem in these networks. Using influential users can improve the efficiency of data dissemination. An influential user should have an effective activity on the network and influence other users. The participation behavior of nodes in the network dramatically affects the detection process of influential nodes. Self-sufficient nodes who selectively participate in the dissemination of data in the network may reduce the influence of the other nodes. This paper proposes detecting influential nodes that consider the negative effects of selfish behavior. The performance analysis of the proposed selfish-free influential node detection protocol is presented by comparing it to another one that does not consider the selfishness problem. This comparison shows that the proposed protocol achieves efficiency up to 30% in a environment of selfish behavior.
  • Arabic Stock-News Sentiments and Economic Aspects using BERT Model
    Eman Alasmari, Mohamed Hamdy, Khaled H. Alyoubi, Fahd Saleh Alotaibi
    International Journal of Advanced Computer Science and Applications, 2023
    — Stock-market news sentiment analysis (SA) aims to identify the attitudes of the news of the stock on the official platforms toward companies’ stocks. It supports making the right decision in investing or analysts’ evaluation. However, the research on Arabic SA is limited compared to that on English SA due to the complexity and limited corpora of the Arabic language. This paper develops a model of sentiments to predict the polarity of Arabic stock news in microblogs based on Machine Learning and Deep Learning approaches. Also, it aims to extract the reasons which lead to polarity categorization as the main economic causes or aspects based on semantic unity. Therefore, this paper presents an Arabic SA approach based on the logistic regression model and the Bidirectional Encoder Representations from Transformers (BERT) model. The proposed model is used to classify articles as positive, negative, or neutral. It was trained based on data collected from an official Saudi stock-market article platform that was later preprocessed and labeled. Moreover, the economic reasons for the articles based on semantic unit, divided into seven economic aspects to highlight the polarity, were investigated. The supervised BERT model obtained 88% article classification accuracy based on SA, and the unsupervised mean Word2Vec encoder obtained 80% economic-aspect clustering accuracy.
  • Influence propagation in social networks: Interest-based community ranking model
    Nouran Ayman R. Abd Al-Azim, Tarek F. Gharib, Mohamed Hamdy, Yasmine Afify
    Journal of King Saud University Computer and Information Sciences, 2022
    The driving force behind content dissemination in Social network (SN) is the users’ interest in the content, which is strongly reflected in their interactions. Obviously, user interest varies with the disseminated content. Consequently, the dynamic interest results in decomposing SN into dynamic user clusters “interest groups”. The objective of this work is to rank interest-based communities using influence propagation. The contribution of this work is threefold: First, to highlight the significance of the indirect influence among interest-based user groups. Second, to study its impact on content dissemination capability. Third, to propose an ultimate ranking model (UltRank) that uniquely considers direct and indirect influences which are reflected in a new reachability metric that considers: 1. Distance among interest groups. 2. Percentage of reachable interest groups. 3. Percentage of reachable nodes. UltRank model has been evaluated in comprehensive experiments. First, clustering quality perspective, the Silhouette coefficient for the identified interest groups is on average 0.996 and the Jaccard coefficient of 97% of different interest groups members equals 0. Second, ranking capability perspective, UltRank model can rank up to 91% of interest groups in SN. Finally, ranking effectiveness perspective, UltRank ranking list has a competing network coverage results against the other benchmark approaches.
  • Enabling Fog Complex Security Services in Mobile Cloud Environments
    Mohamed Hamdy, Safia Abbas, Doaa Hegazy
    Alexandria Engineering Journal, 2021
    The security infrastructure in modern mobile cloud relays on a set of atomic security services like key distribution, and authentication services which are mostly deployed at the fog. A mobile node may provide a simple or an atomic security service. Complex security services are obtained by coordinating several atomic services at different nodes. In mobile fog environments, the availability of such services for the mobile nodes at the edge straggles challenging nature of the environment and then service availability is deeply affected. Complex security requirements require available several atomic services at the edge and fog levels. So, increasing atomic service availability is vital and enhances security features between the fog and the edge. In this work a proactive complex security service replication protocol for increasing availability of fog security services is proposed. The protocol is able to manage proactively replicas whenever they are requested. It is aware of the distributed resources at the edge nodes. Using an extensive simulation analysis, the protocol performance shows a better achieved availability and reasonable response time for complex security services in different configurations.
  • An efficient algorithm for unique class association rule mining
    Mahmoud Nasr, Mohamed Hamdy, Doaa Hegazy, Khaled Bahnasy
    Expert Systems with Applications, 2021
  • Influence propagation: Interest groups and node ranking models
    Nouran Ayman R. Abd Al-Azim, Tarek F. Gharib, Yasmine Afify, Mohamed Hamdy
    Physica A Statistical Mechanics and Its Applications, 2020
  • Identifying Different Types of Biclustering Patterns Using a Correlation-Based Dilated Biclusters Algorithm
    Mahmoud Mounir, Mohamed Hamdy, Mohamed Essam Khalifa
    Advances in Intelligent Systems and Computing, 2020
  • Influence Ranking Model for Social Networks Users
    Nouran Ayman, Tarek F. Gharib, Mohamed Hamdy, Yasmine Afify
    Advances in Intelligent Systems and Computing, 2020
  • Key distribution protocol for Identity Hiding in MANETs
    Yomna Mohsen, Mohamed Hamdy, Eman Shaaban
    Proceedings 2019 IEEE 9th International Conference on Intelligent Computing and Information Systems Icicis 2019, 2019
  • Road Surface Quality Detection using Smartphone Sensors: Egyptian Roads Case Study
    Aya El-Kady, Karim Emara, Mohamed Hamdy ElEliemy, Eman Shaaban
    Proceedings 2019 IEEE 9th International Conference on Intelligent Computing and Information Systems Icicis 2019, 2019
  • Cyber space security assessment case study
    Hanaa. M. Said, Rania El Gohary, Mohamed Hamdy, Abdelbadeeh M. Salem
    Cyber Security and Threats Concepts Methodologies Tools and Applications, 2018
  • A novel model based on non invasive methods for prediction of liver fibrosis
    Mahmoud Nasr, Khaled El-Bahnasy, M. Hamdy, Sanaa M. Kamal
    Icenco 2017 13th International Computer Engineering Conference Boundless Smart Societies, 2017
  • Distributed influential node detection protocol for mobile social networks
    Doaa AbdelMohsen, Mohammed Hamdy
    Advances in Intelligent Systems and Computing, 2017
  • Towards an optimum authentication service allocation and availability in VANETs
    International Journal of Network Security, 2017
  • Realization of a data traceability and recovery service for a trusted authority service co-ordination within a Cloud environment
    Nour Zawawi, Mohamed Hamdy, R. Ghary, M. F. Tolba
    Soft Computing, 2016
  • Enabling less-infrastructure road communication networks for VANETs
    Safi Ibrahim, Mohamed Hamdy
    Proceedings of 2015 4th International Conference on Computer Science and Network Technology Iccsnt 2015, 2016
  • On biclustering of gene expression data
    Mahmoud Mounir, Mohamed Hamdy
    2015 IEEE 7th International Conference on Intelligent Computing and Information Systems Icicis 2015, 2016
  • A proposed security service set for VANET SOA
    Safi Ibrahim, Mohamed Hamdy, Eman Shaaban
    2015 IEEE 7th International Conference on Intelligent Computing and Information Systems Icicis 2015, 2016
  • Text document annotation methods: Stat of art
    Iman Ismail, Walaa Gad, Mohamed Hamdy, Khaled Bahnsy
    2015 IEEE 7th International Conference on Intelligent Computing and Information Systems Icicis 2015, 2016
  • A comparison on VANET authentication schemes: Public Key vs. Symmetric Key
    Safi Ibrahim, Mohamed Hamdy
    Proceedings 2015 10th International Conference on Computer Engineering and Systems Icces 2015, 2016
  • GPSIH: A generic IP-based scheme for identity hiding in MANETs
    Yomna M. Mohsen, Mohamed Hamdy, Mohamed Hashem
    2014 9th International Conference on Informatics and Systems Infos 2014, 2015
  • Evaluation of mobile WiMAX IEEE 802.16e handover load balancing trends
    Mohamed Hamdy, Ahmed S. Abdel-Rahman, Noura Semary
    2014 9th International Conference on Informatics and Systems Infos 2014, 2015
  • Fast Forced Handover Technique for Load Balancing in Mobile WiMAX for Real-time Applications
    Ahmed Samy, Mohamed Hamdy, Noura Semary
    Procedia Computer Science, 2015
  • Cyber space security assessment case study
    Hanaa. M. Said, Rania El Gohary, Mohamed Hamdy, Abdelbadeeh M. Salem
    Handbook of Research on Threat Detection and Countermeasures in Network Security, 2014
  • A large dataset enhanced watermarking service for cloud environments
    Nour Zawawi, Mohamed Hamdy, Rania El-Gohary, Mohamed Fahmy Tolba
    Communications in Computer and Information Science, 2014
  • Security issues on cloud data services
    Nour Zawawi, Mohamed Hamdy El-Eliemy, Rania El-Gohary, Mohamed F. Tolba
    Intelligent Systems Reference Library, 2014
  • A Novel Watermarking Approach for Data Integrity and Non-repudiation in Rational Databases
    Nour Zawawi, Rania El-Gohary, Mohamed Hamdy, Mohamed Fahmy Tolba
    Communications in Computer and Information Science, 2012
  • The gross interest: Service popularity aggregation
    Mohamed Hamdy, Birgitta König-Ries
    Handbook of Research on Service Oriented Systems and Non Functional Properties Future Directions, 2011
  • An interest-based load balancing mechanism for the Service Distribution Protocol in MANETs
    Mohamed Hamdy, Birgitta König-Ries
    Momm2010 8th International Conference on Advances in Mobile Computing and Multimedia, 2010
  • New service selection strategies for the Service Distribution Protocol for manets
    Proc of the Iadis Int Confs Informatics 2010 Wireless Applications and Computing 2010 Telecommunications Networks and Systems 2010 Part of the Mccsis 2010, 2010
  • Impact of heterogeneous mobility models on the service distribution protocol for manets
    Proc of the Iadis Int Confs Informatics 2010 Wireless Applications and Computing 2010 Telecommunications Networks and Systems 2010 Part of the Mccsis 2010, 2010
  • A Comparison on MANETs' Service Replication Schemes: Interest versus Topology Prediction
    Mohamed Hamdy, Abdelouahid Derhab, Birgitta König-Ries
    Communications in Computer and Information Science, 2010
  • Leader election modes of the service distribution protocol for ad hoc networks
    Lecture Notes in Informatics Lni Proceedings Series of the Gesellschaft Fur Informatik Gi, 2009
  • The service distribution protocol for MANETs - Criteria and performance analysis
    Mohamed Hamdy, Birgitta König-Ries
    Communications in Computer and Information Science, 2009
  • Effects of different hibernation behaviors on the service distribution protocol for mobile networks and its replica placement process
    Mohamed Hamdy, Birgitta König-Ries
    Proceedings IEEE International Conference on Mobile Data Management, 2009
  • Non-functional parameters as first class citizens in service description and matchmaking - An integrated approach
    Mohamed Hamdy, Birgitta König-Ries, Ulrich Küster
    Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2009
  • A service distribution protocol for mobile ad hoc networks
    Mohamed Hamdy, Birgitta König-Ries
    Proceedings of the 5th International Conference on Pervasive Services Icps 2008, 2008
  • An extended analysis of an interest-based service distribution protocol for mobile ad hoc networks
    Winsys 2008 International Conference on Wireless Information Networks and Systems Proceedings, 2008
  • Service-orientation in mobile Computing - An overview
    M. Hamdy, B. Konig-Ries
    Proceedings IEEE International Conference on Mobile Data Management, 2006
  • A quality-of-service-aware genetic algorithm for the source routing in ad-hoc mobile networks
    Iceis 2003 Proceedings of the 5th International Conference on Enterprise Information Systems, 2003
  • Modified distributed quality-of-service routing in wireless mobile ad-hoc networks
    Proceedings of the Mediterranean Electrotechnical Conference MELECON, 2002