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PhD candidate in Cybersecurity and AI

Publications

2024

E. Manai, M. Mejri, and J. Fattahi, "Fingerprint Fraud Explainability Using Grad-Cam for Forensic Procedures", in The 23th International Conference on Intelligent Software Methodologies, Tools, and Techniques IPN, Cancun, Mexico | September 24-26, 2024, https://doi.org/10.3233/FAIA240393

E. Manai, M. Mejri, and J. Fattahi, “Minimizing Model Misclassification using Regularized Loss Interpretability“ in The 15th International Conference on Smart Computing and Artificial Intelligence, SCAI 2024, Takamatsu, Japan, July 6-12, 2024, accepted on May 14, 2024, IEEE.

E. Manai, M. Mejri, and J. Fattahi, “Intrusion Detection Explainability by Ensemble Learning with a Case Study“ in The 10th International Conference on Control, Decision and Information Technologies, CoDIT 2024, Valetta, Malta, July 1-4, 2024, accepted on April 17, 2024, IEEE.

2023

E. Manai, M. Mejri, and J. Fattahi, “Impact of Feature Encoding on Malware Classification Explainability,” in 15th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2023, Bucharest, Romania, June 29-30, 2023, IEEE, 2023, pp. 1–6. doi: 10.1109/ECAI58194.2023.10193964

Google Developer Expert in Machine Learning / NVIDIA Instructor

I graduated from a Bachelor in Computer Science in 2018, followed by a Masters of Research in Artificial Intelligence in 2020 while simultaneously working in industry to get practical and business experience. During my masters I worked on NLP Data Augmentation for Low resource Language and became mesmerized by the idea of data quality / ML Efficiency.

After graduation I worked as a consultant with several big firms. I now want to to go back to academia and work towards a Ph.D in Robust and efficieint Machine Learning.

Research Interests

• Robustness (out-of-distribution generalisation)
• Efficiency in Machine Learning (less data & computation)
• Applied AI (Marketing, Social Media, Entertainment, Music)

Latest News

• December 2020: I became a mentor at Google for Startups Accelerator
• November 2020: I passed the Tensorflow Developer Certification
• November 2020: I became a Google Developer Expert in Machine Learning
• October 2020: I passed the Google Cloud Professional Machine Learning Engineer Certification