CASA's supervisors on MPhil/PhD Advanced Spatial Analysis
Dr Adam Dennett is Director and Head of Department at CASA and Associate Professor in Urban Analytics. He is a population geographer, with an interest in using quantitative methods to address research questions in areas such as migration modelling, census analysis and geodemographics, spatial statistics, GIS , synthetic data estimation and social inequalities in urban, regional and global contexts. Adam is interested in receiving applications from students wishing to carry out research in any of the broad areas described above.
Dr Elsa Arcaute is Associate Professor in Spatial Modelling and Complexity and Department Graduate Tutor (Research) at CASA. She is interested in scaling laws, percolation theory and networks.
Dr Ana Basiri is a Lecturer in Spatial Data Science and Visualisation at CASA. Ana’s research interests include (a) analysing/mining the trajectories of movements to recognise some useful patterns for intelligent navigation and mobility, (b) new forms of data such as social media and crowd-sourced data, which can have some quality and bias issues.
Professor Michael Batty is Bartlett Professor of Planning and Chair of CASA and a Fellow of the British Academy and the Royal Society. His expertise is in urban and regional modelling and in visualisation.
Dr Hannah Fry is Associate Professor in the Mathematics of Cities. She specialises in designing and analysing mathematical models of complex systems.
Professor Andrew Hudson-Smith is Professor of Digital Urban Systems and expert in the research fields of Smart Cities, Internet of Things, Urban Planning, multimedia and visualisation.
Dr Jens Kandt is Lecturer in Urban Geography and Data Science at CASA. Jens has a background in urban geography and planning. His work focuses on how inequalities in health and well-being, lifestyles and mobility practices emerge and relate to long-term built environment dynamics and trends in social mobility. In terms of methods, he is particularly interested in case-based social and spatial analysis, data science and Bayesian inference.
Dr Kira Kempinska is Lecturer in GeoSpatial Artifical Intelligence and Machine Learning at CASA.
Dr Ed Manley is Director of Research and Associate Professor in Smart Cities at CASA. Ed’s research interests broadly fall around understanding the role of individual and collective behaviour in shaping urban processes.
Robin Morphet is an engineer/planner/statistician researching the interaction between land use and transport and the economic evaluation of land use transport plans.
Dr Max Nathan
Max is an Associate Professor in Applied Urban Sciences. He is also a Deputy Director of the What Works Centre for Local Economic Growth and an affiliate at the Centre for Economic Performance, IZA and NIESR. Max is an economic geographer who uses a lot of economics. His academic research focuses on the economics of cultural diversity, in particular the performance of diverse cities, communities and teams. He's also interested in innovation systems and clusters, and in wider public policy for cities, especially policy design and evaluation. Prior to academia, Max has over 15 years' experience in various public policy environments. He co-founded the Centre for Cities think tank, and sits on the Centre's Research Advisory Board. He has also worked in Whitehall at the Department of Communities and Local Government on issues like localism, regeneration and economic development.
Dr Thomas P. Oléron Evans
Certain mathematical optimisation techniques offer a wealth of untapped potential for application to real world spatial problems. This potential can be unlocked through collaborating across disciplinary boundaries to identify and understand the key research challenges in other domains that could be addressed by adapting and extending such techniques. In this spirit, my current research aims involve the application of game theoretic models to security scenarios with a spatial dimension (such as the optimal deployment of policing resources to protect public events) and of multi-objective optimisation techniques (based on linear and non-linear programming) to problems of land use planning. In spatial contexts, such deterministic optimisation methods can often be naturally combined with simulation-based agent-based modelling approaches to create rich and versatile models of real world systems, capable of representing complex realities that pure mathematical tools could not tackle effectively in isolation. My research vision is therefore threefold: to develop new theoretical mathematical tools, building on existing optimisation techniques; to collaborate with experts in other disciplines to apply these tools in new contexts; and to advance the role of agent-based modelling as a companion to spatial optimisation models, to represent complex real world systems.