Michael Madden IT Department NUI Galway
New PhD Scholarship - Oct 2015

October 2015.

In collaboration with Prof. Dietrich Rebholz-Schuhmann of NUI Galway’s Insight Centre for Data Analytics, I am currently recruiting for a PhD position in model-driven data analytics, applied to the biomedical domain.

The research will focus on new analytical methods in a Bayesian probabilistic framework, in the biomedical domain. The work will exploit both a semantic web knowledge graph and relevant mathematical models. It may be applied to the prediction of states for cells, tissues and more complex regulatory processes.

The position carries a tax-free scholarship of €18,000 per year plus fees, for up to 4 years.

Send applications by email to myself and Prof Rebholz-Schuhmann and put "PhD Position in data modelling and simulation" in the subject line. Candidates are requested to submit (1) a cover letter explaining your intentions, and (2) a CV (in PDF format) giving details on your academic degrees, working experiences and IT skills (maximum 2 pages). It is difficult but still advantageous, if you can write a paragraph (e.g. in the cover letter, or extra), about what ambitions in the PhD position appeal most to you.

Further information: https://www.insight-centre.org/content/phd-position-model-driven-data-analytics-biomedical-domain


Software for Bayesian Network Classification

Over several years, I have developed open-source machine learning software for inductively learning various forms of Bayesian networks from data, and for classification using BNs.

You can download it here, with instructions on how to use it.

Features include:
  • Learn Naive Bayes, Tree-Augmented Naive Bayes (TAN), General Bayesian Networks, and BN-Augmented Naive Bayes structures
  • Multiple scoring metrics, including the K2 metric, BDeu and CMI
  • Visualisation of structures using GraphViz (DOT and DOTTY)
  • Supplementary code to work with data from other formats, to perform cross-validation, to construct learning curves, and to construct ROC curves
For a description of the classifiers, and a discussion of their relative performance, see: “On the Classification Performance of TAN and General Bayesian Networks” , Michael G. Madden. Knowledge Based Systems, 2009.

Please cite that paper if you use this software in your work.

Research Overview

The Data Mining and Machine Learning Group is led by Michael Madden of the College of Engineering & Informatics, NUI Galway.

Our research is focused on new theoretical advances in machine learning and data mining, motivated by important practical applications, on the basis that challenging applications foster novel algorithms which in turn enable new applications.

Specific research topics include:

  • Artificial intelligence, data mining & machine learning
  • Algorithms for classification and numeric prediction
  • New methods for combining domain knowledge with data mining
  • Time series data analysis
  • Probability, reasoning under uncertainty, and Bayesian networks
  • Reinforcement learning
  • Practical applications of data mining and machine learning in science, engineering & medicine.

For more specific information, take a look at our current and recent research projects, our publications, and the current and past members of our group. You can also contact me with questions.


© M Madden