Rehmat Ullah

About

Dr. Rehmat is an Associate Professor and a member of the Networked and Ubiquitous Systems Engineering (NUSE) group and National Edge AI Hub at School of Computing, Newcastle University, UK. His research focuses on network and distributed systems spanning the cloud-edge-device continuum and edge intelligence applications, particularly privacy-preserving decentralized machine learning (Federated Learning) for edge computing. He designs algorithms and protocols, develops prototypes, and evaluates performance in real-world settings. He is looking for motivated PhD students and Postdoctoral researchers.

Education

• BS Computer Science, COMSATS University, Islamabad, Pakistan
• MS Computer Science, COMSATS University, Islamabad, Pakistan
• PhD Computer Engineering, Hongik University, South Korea

Selected publications

• EcoFed: Efficient Communication for DNN Partitioning-Based Federated Learning
• Blockchain applications for Internet of Things — A survey
• FedFly: Towards Migration in Edge-based Distributed Federated Learning
• FedComm: Understanding Communication Protocols for Edge-based Federated Learning
• FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
• Simultaneous Transmitting and Reflecting-Reconfigurable Intelligent Surface in 6G: Design Guidelines and Future Perspectives
• A Cross-layer Green Information-Centric Networking Design toward Energy Internet
• Caching Content on the Network Layer: A Performance Analysis of Caching Schemes in ICN-based Internet of Things
• Information-Centric Networking in Wireless Environments: Security Risks and Challenges
• CCIC-WSN: An Architecture for Single Channel Cluster-based Information-Centric Wireless Sensor Networks