“That’s one small step for man, one giant leap for mankind.” — Armstrong
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.
Projects
Federated Learning
Addressesing privacy issues by adopting an on-device model training strategy while communicating only the model parameters with servers and third partiesResource Management
Resource management solutions in the context of cloud and fog computing using mathematical optimization and artificial intelligence. Resource management includes service placement, task offloading, and scaling.Cloud and Fog federations
Cloud and Fog federations are essentially coalitions of computing resources, formed when a provider is unable to serve a certain request on its own.Smart and Secure Internet-of-Vehicles
This project studies the optimal ways of forming cloud and fog federations using efficient coalition formation mechanisms, including Game Theory and Metaheuristics.Sample Text
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