Dr Roberto Murcio

Overview

Highlights

• Machine learning, Urban analytics and complex networks
  

  Inequality and transport accessibiliy

  Batty, M., Murcio, R., Iacopini, I., Vanhoof, M. and Milton, R., 2021. London in lockdown: Mobility in the pandemic city.

  
  Kempinska, K. and Murcio, R., 2019. Modelling urban networks using Variational Autoencoders. Applied
  Network Science, 4(1), pp.1-11.

Qualifications

• PhD Applied Mathematics
• MSc Computer Sciences
• BSc Mathematics
• BSc Computer Sciences

Web profiles

• Personal Blog

Administrative responsibilities

• Recruitment officer - Geography department
• Admission Tutor - International Development

Research

Research interests

• Urban Analytics and Complex Systems
• Machine learning and transport networks
• Mobile data
• Inequality in cities
• Geographical Information Systems

Research overview

My research focuses on the development and application of geospatial models in the context of urban analytics. I study innovative methods to explore how current Data Science and Machine Learning techniques can help us understand the underlying process behind different urban aspects, like commuting patterns and transport inequality

Supervision and teaching

Teaching

Msc Geographic Data Science

 - Programming for Geographic Data Science

 - Introduction to Geographic Data Science (Data Bases)

Geography Undergraduated

Mapping our world

Teaching modules

• Principles of Geographic Information Systems Level 6 (GGPH036S6)
• Mapping our World (SSGE027S4)
• Mapping our World (SSGE027S4)
• Introduction to Geographic Data Science (SSGE113S7)
• Introduction to Geographic Data Science (SSGE113S7)
• Programming for Geospatial Science and Visualisation (SSGE115S7)
• Programming for Geospatial Science and Visualisation (SSGE115S7)
• Social and Urban Applications Using Geospatial Technologies (SSGE117S7)
• Social and Urban Applications Using Geospatial Technologies (SSGE117S7)

Publications