School of Geography - Faculty of Environment

RESEARCH OVERVIEW

My research interests are focused on the development of AI methods for understanding processes and evolution of geographical systems. In particular I am interested in methods for incorporating human behaviour in individual-level models and developing approaches to improve synthetic population generation.

CURRENT PROJECTS

GENESIS: ESRC Funded.

Modelling Individual Consumer Behaviour: ESRC Funded.

Emerging Sustainability: EPSRC Funded.

Spatially Embedded Complex Systems Engineering: EPSRC Funded.

RESEARCH AFFILIATIONS

• Multi-Agent Systems and Simulation Group.
• Centre for Spatial Analysis
  and Policy.
• Centre for Computational
  Geography.

PUBLICATIONS

• Napolitano,G., See,L., Calvo, B., Savi, F. and Heppenstall, A. (2010) A Conceptual and Neural Network Model for Real-time Flood Forecasting of the Tiber River in Rome. Physics and Chemistry of the Earth.
• Malleson, N.S., Heppenstall, A.J., and See, L.M., (2009) Simulating Burglary with an Agent-Based Model. Computers, Environment and Urban Systems.
• Al-Ahmadi, K., Heppenstall, A.J., Hogg, J., See, L. 2009. A Fuzzy Cellular Automata Urban Growth Model (FCAUGM) for the City of Riyadh, Saudi Arabia. Part 1: Model Structure and Validation. Applied Spatial Analysis. doi: 10.1007/s12061-0080-9020-6.

CURRICULUM VITAE

PRESENTATIONS

TEACHING