Associate Professor Dr. Saaidal Razalli Bin Azzuhri is an academic and researcher in computer networks, wireless communications, and next-generation telecommunications at University of Malaya, where he currently serves as Associate Professor in the Department of Computer Systems and Technology and Deputy Dean of Research and Innovation at the Faculty of Computer Science and Information Technology. He earned his B.Eng in Telecommunications from University of Malaya, an M.Sc. in IT from Malaysia University of Science and Technology, and a Ph.D. from University of Queensland. His professional journey includes roles as a Process Engineer at Samsung SDI, Network Engineer at Telekom Malaysia, Research Assistant at National ICT Australia, and senior research positions at Universiti Malaya’s Photonics Research Centre and UMPEDAC. Dr. Saaidal’s research expertise spans computer networks, wireless systems, 5G/6G communications, fiber lasers, and optical sensors. He has led several major research projects as Principal Investigator, including work on federated learning for 5G optimization, blockchain infrastructure, and terahertz communication for 6G wireless backhaul networks. He is also an innovator with patent filings in biosensor technology for virus detection and unmanned aerial vehicle systems. With strong research impact reflected in his scholarly citations and leadership roles, he continues to contribute significantly to advancements in telecommunications and emerging network technologies.

An Efficient Decentralized Identity Management Scheme for Web 3.0 The rapid evolution of Web 3.0 technologies has underscored the urgent need for efficient and scalable identity solutions. Decentralized Identity (DID) systems, grounded in self-sovereign principles and cryptographic guarantees, offer a promising alternative to traditional centralized models. However, existing DID resolution schemes often face performance bottlenecks, particularly in large-scale deployments. In this paper, we propose an efficient decentralized identity management scheme that enhances DID resolution by employing a Merkle Patricia Trie (MPT) structure. By organizing the mapping between DIDs and their corresponding DID documents in a deterministic and trie-based data structure, our approach significantly reduces lookup latency while preserving system integrity and decentralization. A proof-of-concept prototype is developed and evaluated in a local in-memory deployment scenario. Experimental results show that our scheme can achieve DID resolution within the microsecond range, demonstrating a substantial improvement over traditional methods. This level of performance makes the proposed solution particularly suitable for decentralized applications (DApps) that demand fast and reliable identity resolution. Overall, the scheme addresses a key performance challenge in decentralized identity systems and contributes a practical enhancement to Web 3.0 identity infrastructure.