Shuaib holds an MSci degree in Theoretical Physics from Imperial College London. He also has experience working in medical physics, Teach First and as a consultant for Accenture before starting this PhD. Shuaib’s research will focus on Network Theory such as topology and the structure of a network and gain new insights into general rules concerning these topics and then apply it to the context of the city. We urgently need a serious scientific theory of cities that means quantifiable and relying on underlying generic principles that can be put into a predictive framework and network science offers a potential avenue to do this.
His key research aim concerns analysing the city as a complex system and the underlying multiple sub-systems that are interlinked and interdependent on each other. These can be represented mathematically by a network, which are essentially abstractions of the flows of information and energy through the city system. Cities are just a manifestation of social networks of people as well as infrastructure networks of transit and energy. The beauty of the network approach is that, because of the level of abstraction and the ubiquity of this network structure in real life, it can be applied to many applications and thus model processes within the city, like traffic, epidemiology, infrastructure capability and resilience as well as dynamics.
His method will be to use the mathematics and physics behind networks as well as the computational tools such as computational statistics, machine learning and neural networks to infer predictions about the network structure and dynamics.