Projects per year
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.
15/02/17 → 31/03/20
Project: Research
To Enhance Operational Risk Modelling Methodology Through the Use of Bayesian Networks
Korb, K. & Nicholson, A.
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.
3/01/17 → 2/12/18
Project: Research
Improving the quality of primary health care for TAC clients
Hassani Mahmooei, B., Haffari, R., Barker, S., Gibson, K. & Nicholson, A.
3/10/16 → 30/06/17
Project: Research
Research Output 1988 2019
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 journal › Article › Research › peer-review
Open Access
File
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 journal › Article › Research › peer-review
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 journal › Article › Research › peer-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 proceeding › Conference Paper › Research
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 journal › Article › Research › peer-review
Activities 2011 2016
Chair - Faculty Education Committee - Faculty of Information Technology, Monash University
Ann Nicholson (Chair/ Co-Chair)1 Jan 2016
Activity: External Academic Engagement › External research and teaching
Associate Dean (Education) - Faculty of Information Technology, Monash University
Ann Nicholson (Fellow)1 Jan 2014 → 30 Jun 2016
Activity: External Academic Engagement › External research and teaching
Course Director - Bachelor of Software Engineering - Faculty of Information Technology, Monash University
Ann Nicholson (Chair/ Co-Chair)1 Jan 2011 → 31 Dec 2013
Activity: External Academic Engagement › External research and teaching
Monash University (External organisation)
Ann Nicholson (Member)1 Jan 2011 → 31 Dec 2013
Activity: Industry, Government and Philanthropy Engagement and Partnerships › Membership of an advisory panel/policy group/ board