معرفی
Zelin Ji is a Visiting Professor at the School of Electronic Engineering and Computer Science, Queen Mary University of London. His work focuses on advanced wireless communication systems, machine learning applications in networking, and optimization of resource allocation in distributed and semantic-aware networks. Key areas of research include reconfigurable intelligent surfaces, federated learning, device-to-device communications, and energy-efficient solutions for next-generation networks.
His research explores cutting-edge technologies such as deep reinforcement learning for power optimization, transfer learning for signal processing, and meta federated learning frameworks. He contributes to improving network efficiency through semantic-aware collaborative systems and computational offloading strategies.
Zelin Ji holds no listed academic awards but demonstrates expertise in interdisciplinary fields merging electrical engineering, computer science, and artificial intelligence. His current role involves visiting academic engagements without part-time designation.
While no specific grants or student advisees are documented, his publications reflect a strong focus on theoretical and applied research in wireless communication systems and network optimization.
