Our research is tailored towards solving cutting-edge industrial and research problems related to Security, Service, Network and Computation Optimization and Management in Emerging Technologies including Internet of Things, Cloud/Fog/Edge Computing, Vehicular and Mobile Systems and Networks, and Federated Learning. Our target is to efficiently use the computing resources while optimizing the network and service quality. We build state-of-the-art solutions, embedding Optimization, Game Theoretical, Semantics and Artificial Intelligence models, to solve real-life problems within multiple paradigms. Security and Privacy measurements are always our utmost priorities to assure trustworthy environments.

• Managing services and computing resources using Reinforcement Learning based on users' demands
• Building on-demand fog infrastructure using kubernetes and containers 
• Empowering the cities with federated fog architecture
• Enhancing the Learning algorithms of federated Learning
• Reinforcing the security and data privacy of IoT applications
• Stabilizing the network connectivity within vehicular environments
• Solving industrial problems with state-of-the-art techniques