I am currently a Research Associate at Loughborough University, specializing in reinforcement learning-driven optimization for edge computing and Internet of Things (IoT) systems. I hold a Ph.D. in Computer Science from the University of Liverpool, where my research centered on artificial intelligence-based multi-agent collaborative path planning methods. Prior to this, I completed an M.Sc. and a B.Sc. in Computer Science at the University of Melbourne. My research focuses on adaptive task scheduling, intelligent resource allocation, and multi-agent collaboration, particularly within vehicular edge computing and smart city environments. I am especially interested in developing scalable and efficient solutions that enhance system performance under dynamic and resource-constrained conditions.
Currently, I am working on the Internet of Digital Twin Things (IoDT²) Interoperability project. In this role, I aim to design a decentralized digital twin framework along with a Digital Twin Central Network (DTCN), enabling efficient cross edge, fog, and cloud model-data sharing. This framework will support dynamic collaborative simulation while significantly reducing latency and bandwidth overhead, contributing to more responsive and scalable digital twin ecosystems.