Ann Nicholson

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 2020)

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.

Education/Academic qualification

Engineering Science, Doctor of Philosophy, University of Oxford

Award Date: 1 Jun 1993

Computer Science, Master of Science, University of Melbourne

Award Date: 1 Feb 1990

Computer Science, Bachelor of Science (Honours), University of Melbourne

Award Date: 1 Feb 1987

Research area keywords

Artificial intelligence
Bayesian networks
Data Mining
Risk analysis
Probabilistic reasoning
Knowledge Engineering
Causal discovery
Decision support

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Projects

2 Not started
2 Active
12 Finished

The Pandemic Imperative: Clinical Data and Analytics Platform to improve clinical outcomes through point-of-care decision support

Bellgard, M. I., Snelling, T., Nicholson, A., McNeil, K., Bolevich, Z. & McBride, P.

2/04/20 → 1/04/23

Project: Research

AIDE: Ambulance Vic - BCV Innovation Fund - Artificial Intelligence in carDiac arrEst (AIDE)

Smith, K. L., Nicholson, A., Cohen, P., Turhan, B., Buntine, W., Wybrow, M., Vered, M. & Goodwin, S.

Victorian Department of Health and Human Services

20/03/20 → 31/12/21

Project: Research

To Enhance Operational Risk Modelling Methodology Through the Use of Bayesian Networks

Korb, K. & Nicholson, A.

Project: Research

PHRisM: Prediction and decision making for prevention and management of postpartum haemorrhage

Licqurish, S., Nicholson, A. & Mol, B.

Project: Research

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

Research Output

55 Conference Paper
36 Article
5 Book
5 Chapter (Book)
15 More

Technical assessment of small-scale wind power for residential use in Mexico: a Bayesian intelligence approach

Borunda, M., de la Cruz, J., Garduno-Ramirez, R. & Nicholson, A., 12 Mar 2020, In : PLoS ONE. 15, 3, 26 p., e0230122.

Research output: Contribution to journal › Article › Research › peer-review

Open Access

File

1 Citation (Scopus)

Welcome

Moon, S., Nicholson, A. & Roychoudhury, A., 2020, In : Communications of the ACM. 63, 4, 1 p.

Research output: Contribution to journal › Editorial › Other › peer-review

Open Access

File

Assessment of small-scale wind turbines to meet high-energy demand in Mexico with Bayesian Decision Networks

Borunda, M., Garduno, R., Nicholson, A. E. & de la Cruz, J., 2019, Advances in Soft Computing : 18th Mexican International Conference on Artificial Intelligence, MICAI 2019 Xalapa, Mexico, October 27 – November 2, 2019 Proceedings. Martínez-Villaseñor, L., Batyrshin, I. & Marín-Hernández, A. (eds.). Cham Switzerland: Springer, p. 493-506 14 p. (Lecture Notes in Computer Science; vol. 11835 ).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review