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Dr Ian Kenny

Photograph of Dr Ian Kenny

Profile summary

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Professional biography

Ian is a Visiting Fellow within the School of Computing and Communications in the STEM Faculty, working in the field of applied machine learning.

Research interests

My research interests include:

  • Applying machine learning techniques to real-world data to obtain useful predictions
  • Developing innovative techniques to use heuristics smaller datasets to work on smaller datasets e.g. small climate science datasets were historical data does not represent recent climate change
  • Using mobile and wearable devices to gather patient centric health data which can be used to better inform clinical decisions for the patient.
  • Exploring small world networks in data

I’m particularly interested in applying machine learning techniques to domains which are less accessible to brute force, large dataset, modelling or, where the dataset is niche. For example, where the there is a lack of data and the heuristic needs to become more adaptive to a changing or adaptive data environment. Examples of such an environment would be, climate change science where historical data does not necessarily represent current experience, making it difficult to make predictions from the historical data. Alternatively in the healthcare field where patient centric approaches to healthcare require a more adaptive heuristic approach to deliver more personalised health information back to the clinician.

I’m also interested in the theoretical underpinnings of computation, in particular the implications of the No Free Lunch theorem to NP versus P

Publications

Hydrographical Flow Modelling of the River Severn Using Particle Swarm Optimization (2020)
Kenny, Ian
The Computer Journal, 63(11) (pp. 1713-1726)