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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Belkhiri, A., Shahnejat Bushehri, A., Gohring de Magalhaes, F., & Nicolescu, G. (2023, April). Transparent Trace Annotation for Performance Debugging in Microservice-oriented Systems (Work In Progress Paper) [Paper]. ACM/SPEC International Conference on Performance Engineering - Companion (ICPE 2023), Coimbra, Portugal. External link
Haji Sami, E., Shahnejat Bushehri, A., Amirnia, A., Yarahmadi, A., & Keivanpour, S. (2025). Integrated sequential matching and routing approach for efficient and eco-friendly freight logistics. Transportation Research Part C Emerging Technologies, 179, 105290. External link
Labelle, A., Shahnejat Bushehri, A., & Keivanpour, S. (2020, November). Application of game-based simulation for effective teaching in manufacturing planning and control: The case of inventory management [Paper]. 13th annual International Conference of Education, Research and Innovation (ICERI 2020). External link
Moslah, M. M., Zouari, R., Shahnejat Bushehri, A., Gohring de Magalhaes, F., & Nicolescu, G. (2025). Investigation of the Adversarial Robustness of End-to-End Deep Sensor Fusion Models. IEEE Embedded Systems Letters, 17(5), 325-328. External link
Picot, R. L. L., Gohring de Magalhaes, F., Shahnejat Bushehri, A., Ben Atti, M., Nicolescu, G., & Quintero, A. (2025). Protocol-agnostic and packet-based intrusion detection using a multi-layer deep-learning architecture at the network edge. IEEE Access, 13, 57867-57877. Available
Shahnejat Bushehri, A., Balboul, A., Belkhiri, A., Keivanpour, S., & Nicolescu, G. (2025). NOProbe: A NOP-based Dynamic Binary Instrumentation Framework Using Binary Rewriting on x86. IEEE Transactions on Dependable and Secure Computing, 17 pages. External link
Shahnejat Bushehri, A. (2024). Towards Sustainable IoT in Energy-Constrained Edge Networks: Context-aware Anomaly Detection Frameworks Using an Efficient Data Collection Approach [Ph.D. thesis, Polytechnique Montréal]. Restricted access
Shahnejat Bushehri, A., Amirnia, A., Belkhiri, A., Keivanpour, S., Gohring de Magalhaes, F., & Nicolescu, G. (2024). Deep Learning-Driven Anomaly Detection for Green IoT Edge Networks. IEEE Transactions on Green Communications and Networking, 8(1), 498-513. External link
