BRAHMIA Amine

BRAHMIA Amine is a Researcher-Lecturer at CESI LINEACT, specializing in Engineering and Numerical Tools. He holds a PhD in Computer Science from France Telecom & University of Haute Alsace (2012), a Master's from University of Versailles Saint-Quentin-en-Yvelines (2008), and an Engineering degree from University of Guelma (2006). His research focuses on IoT, WSN Security, Optimization, Smart Buildings, and Blockchain technologies. He has supervised multiple PhD students on topics like federated learning, edge computing, and smart city applications.

Teaching responsibilities include Systems & Protocols, Cybersecurity, and Operational Research across engineering curricula. He managed CESI's Fablab (2016-2018) and is a certified CISCO instructor since 2015. His work spans over 30 publications in conferences like IEEE CEC, ICC, and journals like IEEE Access, focusing on optimization algorithms, federated learning, and network security.

Key research contributions include hybrid metaheuristics for WSN deployment, federated learning frameworks for smart buildings, and consensus protocols for private blockchains. His publications emphasize cross-disciplinary approaches blending machine learning, optimization, and IoT integration.