Reda BELLAFQIRA

Reda BELLAFQIRA is an Enseignant Chercheur (Researcher) at IMT Atlantique's Data Science Department, based in Brest. His work focuses on securing sensitive data processing in distributed systems, combining cryptography with machine learning techniques. Key areas include federated learning, homomorphic encryption, and watermarking for intellectual property protection. He has contributed to privacy-preserving frameworks in healthcare and IoT applications, emphasizing secure collaborative data analysis without compromising confidentiality.

Research Interests:

• Secure federated learning architectures and robustness against adversarial attacks
• Cryptography applications in AI, including homomorphic encryption for encrypted data processing
• Watermarking techniques for model integrity and ownership in distributed environments
• Privacy-preserving methods for healthcare data (e.g., EHRs, genomics)
• IoT cybersecurity and embedded system security for medical devices

Key Contributions: His 2025 work on blockchain-enhanced watermarking for federated learning and 2023 research on automated EHR de-identification exemplify his focus on practical security solutions. Recent trends show increasing emphasis on interdisciplinary approaches merging cryptography with healthcare informatics and IoT systems.

Labs/Teams: Active in IMT Atlantique's Data Science Department research groups, collaborating on EU-funded projects related to federated learning in healthcare and secure IoT ecosystems.