skip to content

AI for the study of Environmental Risks (AI4ER)

UKRI Centre for Doctoral Training

Academic Staff

                                             Department/Affiliation Themes and Techniques
Ronita Bardhan Department of Architecture Decarbonising the built environment, sustainable design (slum rehabilitation housing), digital tools for health and energy behaviour insights,
machine learning, artificial Intelligence, computer vision, urban modelling & spatial analysis, building performance, simulation, energy efficiency
Jonathan Cullen Department of Engineering Investigating the material and energy flows required to support energy, transport, buildings and infrastructure systems, data science, machine learning, modelling
Laura Diaz Anadon Department of Land Economy,
Department of Politics and International Studies
Energy and climate policy, innovation and science policy
Evangelia Kalyvianaki  Department of Computer Science and Technology Cloud Computing, Big Data Processing, Autonomic Computing
Srinivasan Keshav Department of Computer Science and Technology Sensing, communication, and control to increase the carbon efficiency of energy systems, carbon credits, artificial Intelligence, data science, machine learning, modelling, remote sensing
Kristen MacAskill Department of Engineering Applying resilience and sustainability concepts  in decision making associated with the planning and design of infrastructure projects
Anil Madhavapeddy Department of Computer Science and Technology, Centre for Science and Policy Ethics, law and policy, theoretical foundations, data management and processing, carbon credits
Dr Jerome Neufeld Department of Earth Sciences, Department of Applied Mathematics and Theoretical Physics, BP Institute Fluid dynamics, petrology, geophysics, geodynamics and tectonics
Amanda Prorok Department of Computer Science and Technology Robots, vehicles, machines, machine learning, planning, and control, and its applications in automated transport and logistics, environmental monitoring, surveillance.
Emily So Department of Architecture, Centre for Research in the Arts, Social Sciences and Humanities Casualty estimation in earthquake loss modelling
Sivasakthy Selvakumaran Department of Engineering Risk and resilience of urban environments and infrastructure through remote sensing and measurement of assets using satellites
Koen Steemers Department of Architecture,
Cambridge Forum for Sustainability and the Environment
Architectural potential of environmental issues, environmental performance of buildings and cities, climate change, efficiency, architectural and urban implications of environmental issues, data science, modelling
Eiko Yoneki Department of Computer Science and Technology Research methods, social networks, social media, cryptography, simulation, uncertainty quantification, combinatorics, parallel computing, databases, numerical analysis, reinforcement learning