معرفی
Muhammad Muzammal is a researcher at Northumbria University, specializing in cutting-edge technologies at the intersection of computer science and decentralized systems. His work spans blockchain, IoT, and graph theory, with a focus on
- Security in 5G and IoT networks
- Efficient data fusion for medical applications
- Optimization of smart city infrastructure
- Privacy-preserving trajectory analysis
Research trends in his publications highlight advancements in semi-supervised learning, signed network analysis, and blockchain-enabled decentralized solutions. Key themes include AI-driven anomaly detection, green energy distribution, and self-adaptive communication protocols for intelligent transportation systems.
His collaborative work appears in journals like Information Fusion, Future Generation Computer Systems, and Knowledge and Information Systems, often addressing challenges in probabilistic data mining and spatio-temporal blockchain processing.
