Lab Research
Projects
Research initiatives in the lab.
Federated Learning for Privacy-Preserving IoT
Designing energy-efficient federated learning frameworks for heterogeneous IoT networks, enabling collaborative model training without raw data sharing.
Federated LearningIoTPrivacy
AI-Native 6G Network Architecture
Integrating AI/ML natively into 6G network layers for adaptive resource management, dynamic network slicing, and integrated sensing and communication (ISAC).
6GNetwork SlicingISAC
Digital Twin-enabled MEC for Heterogeneous Networks
Built a digital twin framework for mobile edge computing supporting multi-service IoT deployments in heterogeneous network environments.
Digital TwinMECHetNet
UAV-assisted Mobile Edge Computing
Designed numerology-capable UAV-MEC systems for massive IoT deployments, optimizing task offloading and trajectory planning in dynamic environments.
UAVMECIoT