Advising

My research encompasses applied mathematics, networking, game theory, optimal control, and the economics of computing and communication networks. In recent work, I have focused on decentralized and distributed systems, addressing challenges in federated learning, blockchain technologies, automated market makers, datacenter scheduling, and resource allocation in wireless networks. Methodologically, my research integrates game theory, evolutionary games, optimisation, stochastic processes, queuing theory, and distributed algorithms, while remaining responsive to the demands of emerging applications and infrastructures