{"id":32,"date":"2026-10-17T15:05:48","date_gmt":"2026-10-17T15:05:48","guid":{"rendered":"https:\/\/faculty.tarleton.edu\/mmassaoudi\/selected-publications\/"},"modified":"2026-10-18T15:20:29","modified_gmt":"2026-10-18T15:20:29","slug":"selected-publications","status":"publish","type":"page","link":"https:\/\/faculty.tarleton.edu\/mmassaoudi\/selected-publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<p>Published, peer-reviewed work. Citation counts and the complete list, including conference proceedings, are on <a href=\"https:\/\/scholar.google.com\/citations?user=qELIRCcAAAAJ\">Google Scholar<\/a> (2,000+ citations, h-index 20, as of October 2026). Profiles: <a href=\"https:\/\/orcid.org\/0000-0002-9388-2115\">ORCID<\/a> \u00b7 <a href=\"https:\/\/www.researchgate.net\/profile\/Mohamed-Massaoudi\">ResearchGate<\/a>.<\/p>\n<h2>Featured publications<\/h2>\n<ol>\n<li>M. Massaoudi and M. E. Eddin, &#8220;Maximum Entropy Inverse RL for Cyber Attack Detection in IoT Networks,&#8221; <em>IEEE Access<\/em>, 2026. <a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2026.3701290\">doi:10.1109\/ACCESS.2026.3701290<\/a><\/li>\n<li>M. Massaoudi, K. A. Haque, X. Huo and K. R. Davis, &#8220;FADEG: Feature-Adaptive Asymmetric Dynamic Reweighting GNN Ensemble-Based Intrusion Detection for Power Systems,&#8221; <em>IEEE Open Journal of Industry Applications<\/em>, vol. 7, pp. 458\u2013473, 2026. <a href=\"https:\/\/doi.org\/10.1109\/OJIA.2026.3675549\">doi:10.1109\/OJIA.2026.3675549<\/a><\/li>\n<li>M. Massaoudi and M. E. Eddin, &#8220;A Constraint-Aware Physics-Informed Neural Network for Enhanced Intrusion Detection in Cyber-Physical Smart Grids,&#8221; <em>Sustainable Energy, Grids and Networks<\/em>, 2026.<\/li>\n<li>M. Massaoudi, &#8220;SPARQ: A Cyber-Resilient Voltage Regulation Using Soft Q-Learning Approach for Autonomous Grid Operations,&#8221; <em>IEEE Access<\/em>, 2025. <a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2025.3548517\">doi:10.1109\/ACCESS.2025.3548517<\/a><\/li>\n<li>M. Massaoudi and K. R. Davis, &#8220;Adaptive PPO With Multi-Armed Bandit Clipping and Meta-Control for Robust Power Grid Operation Under Adversarial Attacks,&#8221; <em>IEEE Access<\/em>, vol. 13, pp. 73586\u201373602, 2025. <a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2025.3563419\">doi:10.1109\/ACCESS.2025.3563419<\/a><\/li>\n<li>M. Massaoudi, M. E. Eddin, H. Abu-Rub, A. Gharayeb and K. R. Davis, &#8220;Online Transient Stability Assessment Under Concept Drift: An ARF Method Assisted Federated Learning for Data Streams,&#8221; <em>IEEE Internet of Things Journal<\/em>, vol. 12, no. 18, pp. 37777\u201337789, 2025. <a href=\"https:\/\/doi.org\/10.1109\/JIOT.2025.3583978\">doi:10.1109\/JIOT.2025.3583978<\/a><\/li>\n<li>M. Massaoudi, T. Zamzam, M. Eddin, A. Gharayeb, H. Abu-Rub and S. S. Refaat, &#8220;Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks,&#8221; <em>IEEE Open Journal of Industry Applications<\/em>, vol. 5, pp. 267\u2013282, 2024 (IEEE IAS Second Prize Paper Award). <a href=\"https:\/\/doi.org\/10.1109\/OJIA.2024.3426334\">doi:10.1109\/OJIA.2024.3426334<\/a><\/li>\n<li>M. Massaoudi, H. Abu-Rub and A. Ghrayeb, &#8220;FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults,&#8221; <em>IEEE Open Journal of Industry Applications<\/em>, vol. 5, pp. 253\u2013266, 2024. <a href=\"https:\/\/doi.org\/10.1109\/OJIA.2024.3426281\">doi:10.1109\/OJIA.2024.3426281<\/a><\/li>\n<li>M. Massaoudi, H. Abu-Rub and A. Ghrayeb, &#8220;Navigating the Landscape of Deep Reinforcement Learning for Power System Stability Control: A Review,&#8221; <em>IEEE Access<\/em>, vol. 11, pp. 134298\u2013134317, 2023. <a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2023.3337118\">doi:10.1109\/ACCESS.2023.3337118<\/a><\/li>\n<li>M. Massaoudi, H. Abu-Rub, S. S. Refaat, I. Chihi and F. S. Oueslati, &#8220;Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects,&#8221; <em>IEEE Access<\/em>, vol. 9, pp. 54558\u201354578, 2021. <a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2021.3071269\">doi:10.1109\/ACCESS.2021.3071269<\/a><\/li>\n<\/ol>\n<h2>Software publication<\/h2>\n<ul>\n<li>M. Massaoudi and M. E. Eddin, &#8220;DataAiPrep: A Comprehensive Machine Learning Data Quality Assessment Tool for Training Dataset Optimization,&#8221; <em>SoftwareX<\/em>, vol. 34, Art. no. 102662, 2026. <a href=\"https:\/\/doi.org\/10.1016\/j.softx.2026.102662\">doi:10.1016\/j.softx.2026.102662<\/a> \u00b7 <a href=\"https:\/\/github.com\/Mmassaoudi-cell\/DataAiPrep\">Source code<\/a><\/li>\n<\/ul>\n<h2>Additional journal articles<\/h2>\n<ul>\n<li>M. Massaoudi, T. G. S., M. E. Eddin and K. R. Davis, &#8220;Topology-Aware Hierarchical Attack Graph Optimization for Cyber-Physical Power Systems,&#8221; <em>Electronics<\/em>, 2026. <a href=\"https:\/\/doi.org\/10.3390\/electronics15132947\">doi:10.3390\/electronics15132947<\/a><\/li>\n<li>P. Cordeiro, S. Hossain-McKenzie, A. Summers, A. Chavez, G. Fragkos, K. A. Haque, M. Massaoudi, A. Reyna, T. Collins and K. Davis, &#8220;Design Principles and Experimental Analysis of Secure Data Exchange Approaches for Distributed Cyber-Physical Sensors in Electric Grid Systems,&#8221; <em>Energy Informatics<\/em>, vol. 9, Art. no. 17, 2026. <a href=\"https:\/\/doi.org\/10.1186\/s42162-026-00617-w\">doi:10.1186\/s42162-026-00617-w<\/a><\/li>\n<li>M. Massaoudi, K. R. Davis and K. A. Haque, &#8220;Analysis and Quantification of Demand Flexibility for Resilient Distribution Networks: A Systematic Review,&#8221; <em>IEEE Access<\/em>, vol. 13, pp. 42650\u201342668, 2025. <a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2025.3548526\">doi:10.1109\/ACCESS.2025.3548526<\/a><\/li>\n<li>M. Massaoudi, M. Eddin, A. Gharayeb, H. Abu-Rub and S. S. Refaat, &#8220;Advancing Coherent Power Grid Partitioning: A Review Embracing Machine and Deep Learning,&#8221; <em>IEEE Open Access Journal of Power and Energy<\/em>, vol. 12, pp. 59\u201375, 2025. <a href=\"https:\/\/doi.org\/10.1109\/OAJPE.2025.3535709\">doi:10.1109\/OAJPE.2025.3535709<\/a><\/li>\n<li>M. Massaoudi, K. R. Davis and K. A. Haque, &#8220;An Efficient Framework for Multi-DER Integration in Distribution Networks With Time-Series Demand Flexibility,&#8221; <em>IEEE Access<\/em>, vol. 13, pp. 83828\u201383839, 2025. <a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2025.3569152\">doi:10.1109\/ACCESS.2025.3569152<\/a><\/li>\n<li>K. A. Haque, M. Massaoudi, L. Al Homoud, K. R. Davis, M. Kabalan and H. Salamy, &#8220;Cyber-Physical Emulation and Threat Scenario Simulation for Enhanced Microgrid Resilience,&#8221; <em>IEEE Access<\/em>, vol. 13, pp. 101455\u2013101471, 2025. <a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2025.3578421\">doi:10.1109\/ACCESS.2025.3578421<\/a><\/li>\n<li>M. Massaoudi, H. Abu-Rub and A. Ghrayeb, &#8220;Advancing Lithium-Ion Battery Health Prognostics with Deep Learning: A Review and Case Study,&#8221; <em>IEEE Open Journal of Industry Applications<\/em>, vol. 5, pp. 43\u201362, 2024. <a href=\"https:\/\/doi.org\/10.1109\/OJIA.2024.3354899\">doi:10.1109\/OJIA.2024.3354899<\/a><\/li>\n<li>M. E. Eddine, M. Massaoudi, H. Abu-Rub, M. Shadmand and M. Abdullah, &#8220;Optimum Partition of Power Networks Using Singular Value Decomposition and Affinity Propagation,&#8221; <em>IEEE Transactions on Power Systems<\/em>, vol. 39, no. 5, pp. 6359\u20136371, 2024. <a href=\"https:\/\/doi.org\/10.1109\/TPWRS.2024.3361313\">doi:10.1109\/TPWRS.2024.3361313<\/a><\/li>\n<li>M. Massaoudi, S. S. Refaat, I. Chihi, M. Trabelsi, F. S. Oueslati and H. Abu-Rub, &#8220;A Novel Stacked Generalization Ensemble-Based Hybrid LGBM-XGB-MLP Model for Short-Term Load Forecasting,&#8221; <em>Energy<\/em>, vol. 214, Art. no. 118874, 2021. <a href=\"https:\/\/doi.org\/10.1016\/j.energy.2020.118874\">doi:10.1016\/j.energy.2020.118874<\/a><\/li>\n<li>M. Massaoudi, I. Chihi, L. Sidhom, M. Trabelsi, S. S. Refaat, H. Abu-Rub and F. S. Oueslati, &#8220;An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting,&#8221; <em>IEEE Access<\/em>, vol. 9, pp. 36571\u201336588, 2021. <a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2021.3062776\">doi:10.1109\/ACCESS.2021.3062776<\/a><\/li>\n<\/ul>\n<h2>Book chapters<\/h2>\n<ul>\n<li>M. Massaoudi, H. Abu-Rub and A. Ghrayeb, &#8220;Building Trust by Design Through Explainable AI for Resilient and Cognitive Smart Grid,&#8221; in <em>AI and Digitalization in Energy Management<\/em>, IET, 2025, pp. 329\u2013355. <a href=\"https:\/\/doi.org\/10.1049\/PBPO263E_ch16\">doi:10.1049\/PBPO263E_ch16<\/a><\/li>\n<li>M. Massaoudi, M. E. Eddin and H. Abu-Rub, &#8220;A Synergistic Approach to Cyber-Physical Stability in Smart Grids: A Security-Centric Study,&#8221; in <em>Cybersecurity in Smart Grids<\/em>, Wiley-IEEE Press, 2024.<\/li>\n<li>M. E. Eddin, M. Massaoudi and H. Abu-Rub, &#8220;Evolving Cyber Threats in SGs: A Review of Attack Techniques and Defense Mechanisms,&#8221; in <em>Cybersecurity in Smart Grids<\/em>, Wiley-IEEE Press, 2024.<\/li>\n<li>M. Massaoudi, S. S. Refaat and H. Abu-Rub, &#8220;On the Pivotal Role of Artificial Intelligence Toward the Evolution of Smart Grids: A Review of Advanced Methodologies and Applications,&#8221; in <em>Smart Grid and Enabling Technologies<\/em>, Wiley, 2021, pp. 359\u2013420. <a href=\"https:\/\/doi.org\/10.1002\/9781119422464.ch15\">doi:10.1002\/9781119422464.ch15<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Published, peer-reviewed work. Citation counts and the complete list, including conference proceedings, are on Google Scholar (2,000+ citations, h-index 20, as of October 2026). Profiles: ORCID \u00b7 ResearchGate. Featured publications M. Massaoudi and M. E. Eddin, &#8220;Maximum Entropy Inverse RL for Cyber Attack Detection in IoT Networks,&#8221; IEEE Access, 2026. doi:10.1109\/ACCESS.2026.3701290 M. Massaoudi, K. A. &hellip; <a href=\"https:\/\/faculty.tarleton.edu\/mmassaoudi\/selected-publications\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Publications<\/span><\/a><\/p>\n","protected":false},"author":167,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"inline_featured_image":false,"advgb_blocks_editor_width":"","advgb_blocks_columns_visual_guide":"","footnotes":""},"class_list":["post-32","page","type-page","status-publish","hentry"],"coauthors":[],"author_meta":{"author_link":"https:\/\/faculty.tarleton.edu\/mmassaoudi\/author\/mmassaoudi\/","display_name":"mmassaoudi"},"relative_dates":{"created":"Posted 2 weeks ago","modified":"Updated 1 week ago"},"absolute_dates":{"created":"Posted on October 17, 2026","modified":"Updated on October 18, 2026"},"absolute_dates_time":{"created":"Posted on October 17, 2026 3:05 pm","modified":"Updated on October 18, 2026 3:20 pm"},"featured_img_caption":"","featured_img":false,"series_order":"","_links":{"self":[{"href":"https:\/\/faculty.tarleton.edu\/mmassaoudi\/wp-json\/wp\/v2\/pages\/32","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/faculty.tarleton.edu\/mmassaoudi\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/faculty.tarleton.edu\/mmassaoudi\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/faculty.tarleton.edu\/mmassaoudi\/wp-json\/wp\/v2\/users\/167"}],"replies":[{"embeddable":true,"href":"https:\/\/faculty.tarleton.edu\/mmassaoudi\/wp-json\/wp\/v2\/comments?post=32"}],"version-history":[{"count":2,"href":"https:\/\/faculty.tarleton.edu\/mmassaoudi\/wp-json\/wp\/v2\/pages\/32\/revisions"}],"predecessor-version":[{"id":39,"href":"https:\/\/faculty.tarleton.edu\/mmassaoudi\/wp-json\/wp\/v2\/pages\/32\/revisions\/39"}],"wp:attachment":[{"href":"https:\/\/faculty.tarleton.edu\/mmassaoudi\/wp-json\/wp\/v2\/media?parent=32"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}