Amine Barrak, Ph.D.

Assistant Professor Computer Science and Engineering Department 538 EC; (248) 370-3769 [email protected] https://aminebarrak.github.io/ Ph.D., University of Quebec

Teaching

• Parallel and Distributed Computing
• Integrated Computing Systems
• Cryptography

Research

• Distributed Machine Learning & Architectures
• Serverless and Edge Computing
• MLOps & Automation
• Secure Machine Learning Pipeline
• Software Engineering for Machine Learning (SE4ML

Selected Publications

1. Barrak, Amine, Emna Ksontini. "Scalable and Cost-Efficient ML Inference: Parallel Batch Processing with Serverless Functions." In International Conference on Service-Oriented Computing. Cham: Springer Nature Switzerland, 2024.
2. Barrak, Amine. "Incorporating Serverless Computing into P2P Networks for ML Training: In-Database Tasks and Their Scalability Implications (Student Abstract)." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, no. 21, pp. 23439-23440. 2024.
3. Barrak, Amine, Gildas Fofe, Léo Mackowiak, Emmanuel Kouam, and Fehmi Jaafar. "Securing AWS Lambda: Advanced Strategies and Best Practices." In 2024 IEEE 11th International Conference on Cyber Security and Cloud Computing (CSCloud), pp. 113-119. IEEE, 2024.
4. Barrak, Amine, Mayssa Jaziri, Ranim Trabelsi, Fehmi Jaafar, and Fabio Petrillo. "SPIRT: A fault-tolerant and reliable peer-to-peer serverless ML training architecture." In 2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security (QRS), pp. 650-661. IEEE, 2023.
5. Bourreau, Hugo, Emeric Guichet, Amine Barrak, Benoît Simon, and Fehmi Jaafar. "On securing the communication in iot infrastructure using elliptic curve cryptography." In 2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS), pp. 758-759. IEEE, 2022.
6. Barrak, Amine, Fabio Petrillo, and Fehmi Jaafar. "Serverless on machine learning: A systematic mapping study." IEEE Access 10 (2022): 99337-99352.
7. Barrak, Amine, Ellis E. Eghan, and Bram Adams. "On the co-evolution of ml pipelines and source code-empirical study of dvc projects." In 2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), pp. 422-433. IEEE, 2021.
8. Jaafar, Fehmi, Darine Ameyed, Amine Barrak, and Mohamed Cheriet. "Identification of compromised IoT devices: Combined approach based on energy consumption and network traffic analysis." In 2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS), pp. 514-523. IEEE, 2021.