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.
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).
Agentic LLM Security
Securing agentic LLM systems against prompt injection, tool misuse, and adversarial manipulation, with autonomous defense for multi-agent workflows.
Agentic AI for UAV
Developing agentic AI frameworks that enable UAVs to autonomously plan, reason, and coordinate missions in dynamic airspace and edge environments.
Quantum-Assisted ML for Next-Generation Networks
Exploring quantum and hybrid quantum-classical ML algorithms to accelerate training, enhance expressivity, and tackle optimization bottlenecks in next-generation networks.