Information Processing, Networks and Analytics

The influx of data now available to us raises new questions about understanding and analysing complex real-world data and networks. A full list of InFoMM research projects in information processing, networks and analytics, organised by topic, is given below.

The affiliated company is given in brackets after the project's name. Click on a project title to find out more about its mathematical and industrial background, progress so far, and plans for future work.

Data Analytics and Networks

• Sampling Methods for Large Networks and Application to International Research Dynamics (Elsevier)
• Modelling the Demand Transfer and Halo Effect in Retail (Tesco)
• Community Structure in Product-Purchase Networks (dunnhumby)
• Community Detection in Customer-Store Networks (dunnhumby)
• Modelling Customer Behaviour in Supermarkets (Tesco)
• Scientific Growth: from Research to Field (Elsevier)

Signal Processing and Machine Learning

• Machine Learning and Matrix Completion for Bioactivity Predictions (e-Therapeutics)
• Source Reconstruction from Hydrophone Data (National Physical Laboratory)
• Early detection of exacerbation events from telemonitoring data using path signatures (Iterex Therapeutics)
• Application of Deep Learning Techniques to Commercial Real Estate Appraisal (New Rock Capital)
• Arrival Management for Systemised Airspace (NATS)

Financial Mathematics

• Bargaining Under Uncertainty (BP)
• Arbitrage-free market model (CME Group)
• Agent-based models of opinion dynamics (Improbable)