Academic Pursuits
Below are my research subjects in which I have interest to contribute either in publications or industry work.
Domain Shift, Transformers, Recurrent Neural Networks (RNNs), Large Language Models (LLMs)
Exploring cutting-edge ML techniques to solve real-world challenges, with a focus on model adaptability across different domains and leveraging transformer architectures for sequential data analysis.
Intent Assurance, Intent Based Networking (IBN)
Researching automated network configuration and quality assurance using AI, ensuring that network behavior aligns with declared intents through continuous monitoring and ML-driven validation.
Emotion Grasp from interface usage, User Experience on Web/Mobile
Investigating how user emotions can be detected and analyzed through interface interaction patterns, contributing to more adaptive and user-centered application designs.
Architecture Design
Studying modern software architecture patterns and best practices for building scalable, maintainable applications across web and mobile platforms.
No publications yet
Academic Work
All my publications and academic involvements.
F. Yang, A. Moevus, S. Lévesque, "Emotion Detection on User Front-Facing App Interfaces for Enhanced Schedule Optimization: A Machine Learning Approach", The Fifteenth International Conference on Information, Intelligence, Systems and Applications (IEEE IISA 2025)
S. Lévesque, X. Zheng, J. Violos, A. Leivadeas, "Network assurance in intent based data center networking: A domain shift approach", 16th International Conference on Network of the Future (NoF)
S. Lévesque, X. Zheng, J. Violos, A. Leivadeas, M. Falkner, "An Incremental Learning Assurance Approach for Intent Based Networking enabled Data Centers", The Fifteenth International Conference on Information, Intelligence, Systems and Applications (IEEE IISA 2024)
F. Yang, A. Moevus, S. Lévesque, "Emotion Detection on User Front-Facing App Interfaces for Enhanced Schedule Optimization: A Machine Learning Approach", The Fifteenth International Conference on Information, Intelligence, Systems and Applications (IEEE IISA 2025)
S. Lévesque, "Automatisation de configuration réseau et assurance qualité automatique grâce à l'intelligence artificielle", Master Report, Advisor: A. Leivadeas
Academic Pursuits
Below are my research subjects in which I have interest to contribute either in publications or industry work.
Google Scholar profileUpdated October 18, 2026
Exploring cutting-edge ML techniques to solve real-world challenges, with a focus on model adaptability across different domains and leveraging transformer architectures for sequential data analysis.
Domain Shift, Transformers, Recurrent Neural Networks (RNNs), Large Language Models (LLMs)
Researching automated network configuration and quality assurance using AI, ensuring that network behavior aligns with declared intents through continuous monitoring and ML-driven validation.
Intent Assurance, Intent Based Networking (IBN)
Investigating how user emotions can be detected and analyzed through interface interaction patterns, contributing to more adaptive and user-centered application designs.
Emotion Grasp from interface usage, User Experience on Web/Mobile
Studying modern software architecture patterns and best practices for building scalable, maintainable applications across web and mobile platforms.
Architecture Design
All my publications and academic involvements.
Work in progress
F. Yang, A. Moevus, S. Lévesque, "Emotion Detection on User Front-Facing App Interfaces for Enhanced Schedule Optimization: A Machine Learning Approach", The Fifteenth International Conference on Information, Intelligence, Systems and Applications (IEEE IISA 2025)
S. Lévesque, X. Zheng, J. Violos, A. Leivadeas, "Network assurance in intent based data center networking: A domain shift approach", 16th International Conference on Network of the Future (NoF)
S. Lévesque, X. Zheng, J. Violos, A. Leivadeas, M. Falkner, "An Incremental Learning Assurance Approach for Intent Based Networking enabled Data Centers", The Fifteenth International Conference on Information, Intelligence, Systems and Applications (IEEE IISA 2024)
F. Yang, A. Moevus, S. Lévesque, "Emotion Detection on User Front-Facing App Interfaces for Enhanced Schedule Optimization: A Machine Learning Approach", The Fifteenth International Conference on Information, Intelligence, Systems and Applications (IEEE IISA 2025)
Work in progress
S. Lévesque, "Automatisation de configuration réseau et assurance qualité automatique grâce à l'intelligence artificielle", Master Report, Advisor: A. Leivadeas
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