معرفی
Dr. Richard Clegg is a Senior Lecturer in Technology Management at Queen Mary University of London, within the School of Electronic Engineering and Computer Science. He is affiliated with the Centre for Networks, Communications and Systems. His research focuses on temporal networks, complex systems, and graph software development, particularly through the Raphtory project. He holds a PhD and has extensive experience in network analysis, blockchain applications, and AI-driven network optimization.
Research Interests: Dr. Clegg investigates temporal networks across social, transactional, and computer networks, emphasizing their mathematical and statistical foundations. He develops tools like Raphtory (www.raphtory.com) for analyzing dynamic graphs in Rust and Python. His work spans cryptocurrency transaction networks, email communication hierarchies, and energy-efficient radio access networks.
Key Contributions: His recent work analyzes the Luna-Terra collapse using temporal multilayer graphs and explores social mobility in temporal networks. He has published widely on network statistics, sensor data privacy, and cloud-assisted video conferencing. Current research includes AI-ready energy modeling for next-gen networks and fraud detection in cross-chain cryptocurrency ecosystems.
Grants & Collaborations: He secured grants from Cisco, Moogsoft, and the Alan Turing Institute for projects on graph analysis, network fraud detection, and temporal mobility studies. Collaborators include industry leaders like Pometry Limited and academic partners like the University of Cambridge.
Labs/Teams: Leads the Raphtory software initiative and advises PhD students in network science and AI. His team includes researchers like Cheick Ba and former students Ben Steer and Naomi Arnold.
