Michael Madden IT Department NUI Galway
New PhD and senior postdoctoral positions

July 2016: 3 New PhD Scholarships and 1 Senior Postdoc Post

I am currently recruiting up to three PhD students and one senior postdoctoral researcher to engage in research in a new Horizon 2020 project called ROCSAFE, that we are coordinating in the National University of Ireland Galway.

All of the research will involve theoretical advances in machine learning and data mining, applied to an important real-world challenge of fundamentally improving how events involving chemical, biological, radiation/nuclear or explosive materials are assessed, and ensuring the safety of crime scene investigators.

The research is expected to involve development of new algorithms for probabilistic reasoning over time, for routing and control of autonomous airborne and ground-based vehicles, and for context-aware decision support driven by sensor data analytics.

These are excellent opportunities to engage in research and software development, working in a flexible and stimulating research environment on an important problem, while collaborating with academic and industrial partners across Europe.

Further information about the three PhD positions: http://datamining.it.nuigalway.ie/index.php?/Reseach-News/ROCSAFE-PhDs.html

Further information about the senior postdoctoral position: http://datamining.it.nuigalway.ie/index.php?/Reseach-News/ROCSAFE-postdoc-job.html  


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