Energy-, AoI-, and communication-aware learning for real-world wireless and cyber-physical systems.
Lightweight LLM adaptation, federated optimization, and UAV-enabled intelligent systems.
Active collaborations and publications with leading researchers in wireless networks, edge AI, and federated learning.
We welcome motivated MSc/PhD students and collaborators interested in edge intelligence, federated learning (FL), and LLM-enabled systems.