果冻影院

The Behaviour & Infrastructure Group (BIG) aims to build a deeper understanding of urban systems and infrastructure networks using human behaviour as the central component of analysis.

Research

The research activities of the Behaviour & Infrastructure Group (BIG) are focused around four key themes:听

• Adding dynamic dimensions to digital twins to allow investigation of complex counterfactual scenarios.
• Understanding interactions in energy and transport demand.
• Developing techniques to deal with complex real-world data.
• Identifying opportunities for improved sustainability towards net-zero goals.

The methodological approaches employed within the group are diverse, and combine machine learning and artificial intelligence, statistical modelling, optimisation, and agent-based simulation.听

Recent and ongoing projects:

• Dynamic Digital Twins of Interconnected Energy and Transport networks (DDT-IET)听
• Intelligent digital twins for assessing and predicting bridge road traffic demands听
• OPTimization of Individual Mobility plans to simulate future travel in Switzerland (OPTIMS)听

People

BIG sits within the Department of Civil, Environmental and Geomatic Engineering (CEGE) at 果冻影院, co-affiliated with both the Infrastructure Systems Institute (ISI) and the Centre for Transport Studies (CTS).鈥疶he group is led by Dr Tim Hillel.

笔辞蝉迟诲辞肠蝉听

• Dr Senlei Wang - Dynamic Digital Twins of Interconnected Energy and Transport networks.听

PhD students

• Nicolas Salvad茅 -鈥疷nderstanding the role of household lifestyles in transport sustainability.听
• Fred Shone - Activity-based models for household sustainability.

Affiliated PhD students听

• Janody Pougala (EPFL) - Activity-based travel demand forecasting.
• Negar Rezvany (EPFL) - An activity-based approach for joint transport and energy demand modelling.听
• James Rudd-Jones (果冻影院) - Operationalising socio-environmental simulation intelligence for crafting sustainability policies.听

Academic visitors听

• Dr Jos茅 脕ngel Mart铆n Baos (果冻影院M) - Visiting Professor听

Former PhD students

• Gael Lederrey (EPFL) - Bridging the gap between model-driven and data-driven methods in the era of Big Data

Collaboration

BIG works closely alongside a wide range of collaborators and partners across academia, industry, and government. Ongoing collaborators include:

• 果冻影院 Energy Institute
• 果冻影院 Centre for Artificial Intelligence
• 果冻影院 Centre for Advanced Spatial Analysis
• 听

We are constantly looking for new opportunities for collaboration, and welcome contact from interested parties.

Opportunities

Please get in touch if you are interested in pursuing an interdisciplinary PhD or MSc project that covers topics related to our research themes.