Information Technology Faculty Office

    Research areas

  • Artificial intelligence, Bayesian networks, Data Mining, Evolutionary ethics, Intelligent Agents, Knowledge Engineering, Plan recognition, Probabilistic reasoning, User modelling


Professor Ann E. Nicholson is the Deputy Dean in the Faculty of Information Technology. After completing her BSc (Hons) and MSc in Computer Sciene at the University of Melbourne, in 1988 Ann was awarded a Rhodes scholarship to Oxford, where she  did her doctorate in the Robotics Research Group. After completing a post-doc at Brown University, she returned to Australia to take up a lecturing position position at Monash in 1994. Ann specialises in the broad area of Artificial Intelligence, a  sub-discipline of computer science.  Ann is a leading international researcher in the specialised area of Bayesian networks, now the dominant technology for probabilistic causal modelling in intelligent systems. She has applied Bayesian Network technology to problem-solving in many domains including meteorology, epidemiology, medicine, education and environmental science. Examples include the use of BNs in biosecurity risk assessment, predicting the impact of conservation actions on threats and habitats of threatened species, fog forecasting and decision support for clinical cardiovascular risk assessment.


Community service

(Current 2016)

  • Editorial Board, Knowledge Engineering Journal
  • Association of Rhodes Scholars in Australia: National Executive


Monash teaching commitment

Professor Ann Nicholson has experience as the Chief Examiner and/or lecturer for the following units in the Faculty of IT:

  • FIT1010 Introduction to software engineering
  • FIT1016/2044 Advanced project level 1 & 2
  • FIT1049/2003 IT professional practice

Research interests

Ann specialises in Bayesian network modelling and is an expert in dynamic Bayesian networks, planning under uncertainty, user modelling, Bayesian inference methods, and knowledge engineering with Bayesian networks.

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