My Curriculum Vitae

General Information

University of Montreal, Mila, Montreal, QC

PhD Candidate since Fall 2022.
Research focused on out-of-distribution detection and generalization in autonomous driving.
Received Excellence Scholarship from DIRO department at UdeM, Winter 2021.

University of Montreal, Mila, Montreal, QC

Alexandria University, Alexandria, Egypt

Precision AI (with Mitacs), Edmonton, AB

Researched out-of-distribution (OOD) detection within semantic segmentation, enhancing model reliability and safety.
Developed a robust framework for assessing and improving the generalization capabilities of deep learning models.

Microsoft ATL, Cairo, Egypt

Led the development of a dialectical Arabic to English machine translation system.
Worked on research related to adapting conversational context in neural machine translation.

Tensorgraph

Microsoft ATL, Cairo, Egypt

Engineered a novel approach to generate dialectical data, significantly enhancing machine translation systems.
Contributed to deploying an improved translation model to Skype Translator.

Valeo, Cairo, Egypt

Developed MATLAB Simulink tools for automated model generation, reducing embedded C development time.

GROOD: GRadient-aware Out-Of-Distribution detection, TMLR 2025 (ElAraby et al., 2023)
Layerwise Early Stopping for Test Time Adaptation, AAAI 2025 (Sahoo et al., 2025)
Background Aware Continual Semantic Segmentation, CRV 2024 (ElAraby et al., 2024)
Identifying Critical Neurons in ANN Architectures, CPAIOR 2023 & NeurIPS OPT 2020 Workshop (ElAraby et al., 2020)

Continual Learning Challenge (CVPR 2021): Achieved 6th place on the leaderboard with team Real-DEEL.
Imitation Learning for Lane Following (AI-DO 2019): Project selected as a baseline and merged into the duckietown gym.

ElAraby, M., Sahoo, S., Pequignot, Y., Novello, P., & Paull, L. (2023). GROOD: GRadient-aware Out-Of-Distribution detection in interpolated manifolds. ArXiv Preprint ArXiv:2312.14427.
Sahoo, S., ElAraby, M., Ngnawe, J., Pequignot, Y. B., Precioso, F., & Gagné, C. (2025). A layer selection approach to test time adaptation. Proceedings of the AAAI Conference on Artificial Intelligence, 39(19), 20237–20245.
ElAraby, M., Harakeh, A., & Paull, L. (2024). BACS: Background Aware Continual Semantic Segmentation. Proceedings of the Conference on Robots and Vision.
ElAraby, M., Wolf, G., & Carvalho, M. (2020). Identifying critical neurons in ANN architectures using mixed integer programming. ArXiv Preprint ArXiv:2002.07259.