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Personal profile

Biography

Ann E. Nicholson is a Professor and Deputy Dean Research in the Faculty of Information Technology. Other recent leadership roles including (Acting) Deputy Dean 2016-2017, and Associate Dean (Education) 2014-2016. After completing her BSc (Hons) and MSc in Computer Sciene at the University of Melbourne, in 1988 she 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. Prof. Nicholson specialises in the broad area of Artificial Intelligence, a  sub-discipline of computer science.  She 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 published more than 100 peer reviewed papers, co-authored the well-received book "Bayesian Artificial Intelligence", and attracted more than $8M in research funding. 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 2019)

  • Editorial Board, Knowledge Engineering Journal, PeerJ Computer Science
  • Victorian Rhodes Scholarship Selection Committee, Honorary Secretary

 

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.

Research area keywords

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

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2002 2020

MCDA: The Development of Novel Bayesian Network and Multi-Criteria Decision Analysis Techniques

Shahzad, A., Nicholson, A., Korb, K., Mascaro, S. & Cao, T.

15/02/1731/03/20

Project: Research

BARD: Bayesian ARgumentation via Delphi

Korb, K., Nicholson, A., Nyberg, E., Morris, S., Bolger, F., Rowe, G., Wright, G., Hahn, U., Lagnado, D., Fenton, N., Neil, M., Zukerman, I., Wybrow, M. & Lewis, B.

3/01/172/12/18

Project: Research

Research Output 1988 2019

1 Citation (Scopus)

Verbal probabilities: very likely to be somewhat more confusing than numbers

Wintle, B. C., Fraser, H., Wills, B. C., Nicholson, A. E. & Fidler, F., 17 Apr 2019, In : PLoS ONE. 14, 4, 18 p., e0213522.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
2 Citations (Scopus)

HetFHMM: A Novel Approach to Infer Tumor Heterogeneity Using Factorial Hidden Markov Models

Rahman, M. S., Nicholson, A. E. & Haffari, G., 1 Feb 2018, In : Journal of Computational Biology. 25, 2, p. 182-193 12 p.

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Learning and inference methodologies for hybrid dynamic Bayesian networks: a case study for a water reservoir system in Andalusia, Spain

Ropero, R. F., Nicholson, A. E., Aguilera, P. A. & Rumí, R., Nov 2018, In : Stochastic Environmental Research and Risk Assessment. 32, 11, p. 3117-3135 19 p.

Research output: Contribution to journalArticleResearchpeer-review

On the modelling of the energy system of a country for decision making using bayesian artificial intelligence – a case study for Mexico

Borunda, M., Nicholson, A. E., Garduno, R. & Sadafi, H., 2018, Advances in Computational Intelligence: 17th Mexican International Conference on Artificial Intelligence, MICAI 2018 Guadalajara, Mexico, October 22–27, 2018 Proceedings, Part II. Batyrshin, I., de Lourdes Martínez-Villaseñor, M. & Ponce Espinosa, H. E. (eds.). Cham Switzerland: Springer, p. 30-46 17 p. (Lecture Notes in Computer Science ; vol. 11289 ).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

4 Citations (Scopus)

Probabilistic modeling of the relationship between socioeconomy and ecosystem services in cultural landscapes

Maldonado, A. D., Aguilera, P. A., Salmerón, A. & Nicholson, A. E., Oct 2018, In : Ecosystem Services. 33, B, p. 146-164 19 p.

Research output: Contribution to journalArticleResearchpeer-review

Activities 2011 2016

  • 3 External research and teaching
  • 1 Membership of an advisory panel/policy group/ board

Chair - Faculty Education Committee - Faculty of Information Technology, Monash University

Ann Nicholson (Chair/ Co-Chair)
1 Jan 2016

Activity: External Academic EngagementExternal research and teaching

Associate Dean (Education) - Faculty of Information Technology, Monash University

Ann Nicholson (Fellow)
1 Jan 201430 Jun 2016

Activity: External Academic EngagementExternal research and teaching

Course Director - Bachelor of Software Engineering - Faculty of Information Technology, Monash University

Ann Nicholson (Chair/ Co-Chair)
1 Jan 201131 Dec 2013

Activity: External Academic EngagementExternal research and teaching

Monash University (External organisation)

Ann Nicholson (Member)
1 Jan 201131 Dec 2013

Activity: Industry, Government and Philanthropy Engagement and PartnershipsMembership of an advisory panel/policy group/ board