Clayton Sch of Info Technology

    Research areas

  • Artificial Intelligence and Image Processing, Artificial Life, Bayesian Networks, Data Mining, Evolutionary Computation, Expert Systems, Machine Learning, Simulation and Modelling

Biography

Kevin Korb is a Reader in the Faculty of Information Technology at Monash University. He specialises in the theory and practice of causal discovery of Bayesian networks (aka data mining with BNs), machine learning, evaluation theory, the philosophy of scientific method, and informal logic.

Monash teaching commitment

Associate Professor Kevin Korb has experience as the Chief Examiner for the following units in the Faculty of IT:

  • FIT5047 Intelligent systems
  • FIT5197 Modelling for data analysis

Kevin has experience as the Lecturer for the following units in the Faculty of IT:

  • FIT2083/FIT4005/FIT5125/FIT5143 IT research methods
  • FIT4002 Software engineering industry experience studio project
  • FIT5045 Knowledge discovery and data mining
  • FIT5047 Intelligent systems
  • FIT5197 Modelling for data analysis
  • FIT6021 Advanced research methods 1
  • FIT6022 Advanced research methods 2

Research output

  1. Applying dependency patterns in causal discovery of latent variable models

    Research output: Research - peer-reviewConference Paper

  2. An empirical study of the co-evolution of utility and predictive ability

    Research output: Research - peer-reviewConference Paper

  3. Fog forecasting for Melbourne Airport using a Bayesian decision network

    Research output: Research - peer-reviewArticle

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Activities

  1. Chair - IEEE Computational Intelligence Society of Victoria - Institute of Electrical and Electronics Engineers (IEEE)

    Activity: External Academic EngagementProfessional association or peak discipline body

  2. Director - Bayesian Intelligence Pty Ltd

    Activity: External Academic EngagementProfessional association or peak discipline body

  3. Senior Member - Institute of Electrical and Electronics Engineers (IEEE)

    Activity: External Academic EngagementProfessional association or peak discipline body

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ID: 695089