| 2026 | MSR | ML in a Box: Analyzing Containerization Practices in Open Source ML Projects. | Faten Jebari, Emna Ksontini, Amine Barrak, Wael Kessentini |
| 2026 | MSR | A Large-Scale Dataset of MCP Implementations on GitHub. | Benny Toeppe, Amine Barrak, Emna Ksontini |
| 2025 | PDCAT | Cost-Performance Analysis: A Comparative Study of CPU-Based Serverless and GPU-Based Training Architectures. | Amine Barrak, Fbio Petrillo, Fehmi Jaafar |
| 2025 | SCAM | FaaSGuard: Secure CI/CD for Serverless Applications - An OpenFaaS Case Study. | Amine Barrak, Emna Ksontini, Ridouane Atike, Fehmi Jaafar |
| 2024 | AAAI | The Promise of Serverless Computing within Peer-to-Peer Architectures for Distributed ML Training. | Amine Barrak |
| 2024 | AAAI | Incorporating Serverless Computing into P2P Networks for ML Training: In-Database Tasks and Their Scalability Implications (Student Abstract). | Amine Barrak |
| 2024 | ICSOC | Scalable and Cost-Efficient ML Inference: Parallel Batch Processing with Serverless Functions. | Amine Barrak, Emna Ksontini |
| 2023 | IC2E | Exploring the Impact of Serverless Computing on Peer To Peer Training Machine Learning. | Amine Barrak, Ranim Trabelsi, Fehmi Jaafar, Fbio Petrillo |
| 2023 | QRS | SPIRT: A Fault-Tolerant and Reliable Peer-to-Peer Serverless ML Training Architecture. | Amine Barrak, Mayssa Jaziri, Ranim Trabelsi, Fehmi Jaafar, Fbio Petrillo |
| 2022 | QRS | On Securing the Communication in IoT Infrastructure using Elliptic Curve Cryptography. | Hugo Bourreau, Emeric Guichet, Amine Barrak, Benot Simon, Fehmi Jaafar |
| 2021 | QRS | Identification of Compromised IoT Devices: Combined Approach Based on Energy Consumption and Network Traffic Analysis. | Fehmi Jaafar, Darine Ameyed, Amine Barrak, Mohamed Cheriet |
| 2018 | QRS | The State of Practice on Virtual Reality (VR) Applications: An Exploratory Study on Github and Stack Overflow. | Naoures Ghrairi, Segla Kpodjedo, Amine Barrak, Fbio Petrillo, Foutse Khomh |