| 2026 | GECCO | Efficient EV Charging Allocation in Fog Computing via Committee-Based Surrogate-Assisted PSO. | Ibtissem Mokni, Sonia Yassa, Stphane Zuckerman, Olivier Romain, Mohamed Nazih Omri |
| 2026 | ICAART | A Hybrid Approach for Opinion Leader Detection Integrating Semantic, Behavioral, and Topological Features in Online Social Networks. | Amira Foughali, Lobna Hlaoua, Mohamed Nazih Omri |
| 2026 | ICAART | LLaVA-EX: Cross-Domain Fine-Tuning and Explainable Multimodal AI Framework for Robust and Trustworthy Social Media Understanding. | Feriel Gammoudi, Mohamed Nazih Omri |
| 2026 | ICAART | Resource-Aware Handwritten Text Recognition: A Compact CNN-Augmentation Pipeline for Sustainable Edge Deployment. | Omar Haddad, Mohamed Nazih Omri, Montaha Nour Mchiri |
| 2025 | AICCSA | Federated Learning-Based Resource Allocation in Fog-Cloud Computing for Electric Vehicle Charging Stations. | Ibtissem Mokni, Sonia Yassa, Stphane Zuckerman, Olivier Romain, Mohamed Nazih Omri |
| 2025 | KES | An Innovative Method for Improving Sentiment Analysis in Large Language Models. | Omar Haddad, Mohamed Nazih Omri |
| 2025 | KES | ReGAT-BERT: Transformer-Graph Fusion for Dynamic Reranking. | Rihab Haddad, Lobna Hlaoua, Mohamed Nazih Omri |
| 2024 | AINA | Deep Reinforcement Learning for VNF Placement and Chaining of Cloud Network Services. | Wided Khemili, Jalel Eddine Hajlaoui, Mohand Yazid Saidi, Mohamed Nazih Omri, Ken Chen |
| 2024 | DeSE | Generative AI and Deep Learning Based Method Detecting Purchasers from Missing Data Social Media. | Feriel Gammoudi, Mohamed Nazih Omri |
| 2024 | ICCCI | Big Textual Data Analytics Using Transformer-Based Deep Learning for Decision Making. | Omar Haddad, Mohamed Nazih Omri |
| 2024 | ICONIP | Optimizing Passage Retrieval with Dual-Directional Similarity Propagation. | Rihab Haddad, Hlaoua Lobna, Mohamed Nazih Omri |
| 2024 | KES | ML WPStreamCloud: ML-based Workload Prediction and Task Clustering for Efficient Stream Application Ofoading in Heterogeneous Edge and Cloud Environments. | Sabeur Lajili, Zaki Brahmi, Mohamed Nazih Omri |
| 2024 | KSEM | Deep Learning and Machine Learning-Based Approaches to Inferring Social Media Network Users' Interests from a Missing Data Issues. | Feriel Gammoudi, Mohamed Nazih Omri |
| 2024 | PACLIC | New Approach to Infer Image Content from Social Media User's Posts: Based on Fine-Tuning Multimodal AI Model. | Feriel Gammoudi, Salma Namouri, Mohamed Nazih Omri |
| 2023 | CW | A Personalized Multidimensional Navigation in a Limited Visualization Context. | Ghassen Hamdi, Mohamed Nazih Omri |
| 2023 | DeSE | Analyzing Sentiment for Opinion Mining of Large Movie Reviews Using Naive Bayes with Word Frequency. | Mustafa Abdalrassual Jassim, Dhafar Hamed Abd, Mohamed Nazih Omri |
| 2023 | HIS | A Possibilistic Approach: Syntactic Indexing of Data in the Presence of Uncertainty. | Asma Omri, Djamal Benslimane, Mohamed Nazih Omri |
| 2023 | INISTA | Personalized OLAP queries under Hierarchical Visualization Constraint. | Ghassen Hamdi, Mohamed Nazih Omri |
| 2023 | INISTA | Approach For Probabilistic Semantic Big Data Indexing under an Uncertain Environment. | Asma Omri, Malika Jallouli, Djamal Benslimane, Mohamed Nazih Omri |
| 2023 | IDEAL | A Probabilistic Approach: Querying Web Resources in the Presence of Uncertainty. | Asma Omri, Djamal Bensliamne, Mohamed Nazih Omri |
| 2023 | IDEAL | Efficient Model for Probabilistic Web Resources Under Uncertainty. | Asma Omri, Djamal Benslimane, Mohamed Nazih Omri |
| 2023 | KES | CREDEEP: Deep Learning-based approaches to detect credibility in Twitter conversations. | Imen Fadhli, Lobna Hlaoua, Mohamed Nazih Omri |
| 2022 | ADMA | Binary Gravitational Subspace Search for Outlier Detection in High Dimensional Data Streams. | Imen Souiden, Zaki Brahmi, Mohamed Nazih Omri |
| 2022 | ICCCI | Bots and Gender Detection on Twitter Using Stylistic Features. | Sarra Ouni, Fethi Fkih, Mohamed Nazih Omri |
| 2022 | SoMeT | A Survey on Distributed Frameworks for Machine Learning Based Big Data Analysis. | Omar Haddad, Fethi Fkih, Mohamed Nazih Omri |
| 2021 | DEXA | Fuzzy Ontology-Based Possibilistic Approach for Document Indexing Using Semantic Concept Relations. | Kabil Boukhari, Mohamed Nazih Omri |
| 2021 | DEXA | Towards New Model for Handling Inconsistency Issues in DL-Lite Knowledge Bases. | Ghassen Hamdi, Mohamed Nazih Omri |
| 2021 | SoMeT | New Model for Handling Inconsistency Issues in DL-Lite Knowledge Bases. | Ghassen Hamdi, Mohamed Nazih Omri |
| 2020 | ATSIP | Efficient Routing Protocol for Wireless Sensor Network based on Reinforcement Learning. | Salah Eddine Bouzid, Youssef Serrestou, Kosai Raoof, Mohamed Nazih Omri |
| 2019 | HPCC | Possibility Theory and Description Logics Based New Concept Extraction Approach. | Kabil Boukhari, Mohamed Nazih Omri |
| 2019 | ICSoft | Quantitative Metrics for Mutation Testing. | Amani Ayad, Imen Marsit, Ji Meng Loh, Mohamed Nazih Omri, Ali Mili |
| 2019 | ICSoft | Quantitative Analysis of Mutant Equivalence. | Amani Ayad, Imen Marsit, Sara Tawfig, Ji Meng Loh, Mohamed Nazih Omri, Ali Mili |
| 2019 | ICST | Estimating the Number of Equivalent Mutants. | Amani Ayad, Imen Marsit, Ji Meng Loh, Mohamed Nazih Omri, Ali Mili |
| 2018 | ADMA | Possibilistic Information Retrieval Model Based on a Multi-terminology. | Wiem Chebil, Lina Fatima Soualmia, Mohamed Nazih Omri |
| 2018 | ICNC | Fuzzy Twin SVM based-Profile Categorization approach. | Olfa Mabrouk, Lobna Hlaoua, Mohamed Nazih Omri |
| 2018 | ISAIM | Querying DL-lite Knowledge Bases from Hidden Datasets. | Ghassen Hamdi, Mohamed Nazih Omri, Odile Papini, Salem Benferhat, Zied Bouraoui |
| 2018 | ISAIM | Profile Categorization System based on Features Reduction. | Olfa Mabrouk, Lobna Hlaoua, Mohamed Nazih Omri |
| 2018 | ICSoft | Using Semantic Metrics to Predict Mutation Equivalence. | Amani Ayad, Imen Marsit, Mohamed Nazih Omri, Ji Meng Loh, Ali Mili |
| 2018 | ICSoft | Impact of Mutation Operators on Mutant Equivalence. | Imen Marsit, Mohamed Nazih Omri, Ji Meng Loh, Ali Mili |
| 2018 | PACLIC | FCA_Retrieval: A Multi-operator Algorithm for Information Retrieval from Binary Concept Lattice. | Fethi Fkih, Mohamed Nazih Omri |
| 2018 | SoMeT | Impact of Mutation Operators on the Ratio of Equivalent Mutants. | Imen Marsit, Mohamed Nazih Omri, Ji Meng Loh, Ali Mili |
| 2017 | AICCSA | Performance and Scalability Appraisal of Four Directed Weighted Graph Matching Algorithms: A Survey. | Jalel Eddine Hajlaoui, Mohamed Nazih Omri, Djamal Benslimane |
| 2017 | ICNC | Querying deep web data bases without accessing to data. | Radhouane Boughammoura, Mohamed Nazih Omri |
| 2017 | ICNC | Information retrieval approach based on indexing text documents: Application to biomedical domain. | Kabil Boukhari, Mohamed Nazih Omri |
| 2017 | ICSoft | Estimating the Survival Rate of Mutants. | Imen Marsit, Mohamed Nazih Omri, Ali Mili |
| 2017 | ICWS | QoS Based Framework for Configurable IaaS Cloud Services Discovery. | Jalel Eddine Hajlaoui, Mohamed Nazih Omri, Djamal Benslimane, Mahmoud Barhamgi |
| 2017 | ISKE | Indexing biomedical documents with Bayesian networks and terminologies. | Wiem Chebil, Lina Fatima Soualmia, Mohamed Nazih Omri, Stfan Jacques Darmoni |
| 2017 | MEDES | Toward a New Model of Indexing Big Uncertain Data. | Asma Omri, Karim Benouaret, Mohamed Nazih Omri, Djamal Benslimane |
| 2017 | WETICE | Multi-tenancy Aware Configurable Service Discovery Approach in Cloud Computing. | Jalel Eddine Hajlaoui, Mohamed Nazih Omri, Djamal Benslimane |
| 2016 | HIS | Hybridization of an Index Based on Concept Lattice with a Terminology Extraction Model for Semantic Information Retrieval Guided by WordNet. | Fethi Fkih, Mohamed Nazih Omri |
| 2015 | AIME | Biomedical Concepts Extraction Based on Possibilistic Network and Vector Space Model. | Wiem Chebil, Lina Fatima Soualmia, Mohamed Nazih Omri, Stfan Jacques Darmoni |
| 2015 | CAIP | Web User Interact Task Recognition Based on Conditional Random Fields. | Anis Elbahi, Mohamed Nazih Omri |
| 2015 | CDVE | G-Form: A Collaborative Design Approach to Regard Deep Web Form as Galaxy of Concepts. | Radhouane Boughammoura, Lobna Hlaoua, Mohamed Nazih Omri |
| 2015 | ICONIP | Possibilistic Information Retrieval Model Based on Relevant Annotations and Expanded Classification. | Fatiha Naouar, Lobna Hlaoua, Mohamed Nazih Omri |
| 2015 | ISDA | SAID: A new stemmer algorithm to indexing unstructured Document. | Kabil Boukhari, Mohamed Nazih Omri |
| 2015 | ISDA | Possibilistic Network based Information Retrieval Model. | Kamel Garrouch, Mohamed Nazih Omri |
| 2015 | ISDA | Biomedical concept extraction based Information Retrieval model: application on the MeSH. | Mondher Sendi, Mohamed Nazih Omri |
| 2009 | FlAIRS | On the Use of Guaranteed Possibility Measures in Possibilistic Networks. | Amen Ajroud, Salem Benferhat, Mohamed Nazih Omri, Habib Youssef |