Projects per year
Personal profile
Biography
Ann Maharaj is an Adjunct Associate Professor in the Department of Econometrics and Business Statistics at the Caulfield Campus of Monash University. She is an elected member of the International Statistical Institute (ISI), a member of the International Association of Statistical Computing (IASC) and of the Statistical Society of Australia (SSA). She is also an accredited statistician with the SSA.
Ann's main research interests are in time series classification, wavelets analysis, fuzzy classification and interval time series analysis As well as co-authoring a book on time series clustering and classification, she has published many papers on these topics. She has also published papers in climatology, environmental science, labour markets, human mobility and finance.
She has been involved in statistical consulting and has presented several workshops on various aspects of statistical analysis.
Community service
Council Member of the International Association of Statistical Computing, (IASC) 2013-2017.
Executive Member of the International Association of Statistical Computing (IASC) 2015-2017.
Council Member of the Victorian Branch of the Statistics Society of Australia (SSA), 2004-2007.
Secretary of the Victorian Branch of the Statistics Society of Australia (SSA), 2005-2006.
Committee Member of the Monash Branch of the National Tertiary Education Union (NTEU), 2000 – 2014.
Academic Vice-President of the Monash Branch of the National Tertiary Education Union (NTEU), 2006-2008.
Secretary of the Monash Branch of the National Tertiary Education Union (NTEU), 2008-2012.
Supervision interests
Time Series Classification, Wavelet Analysis, Applied Finance
Research interests
Time Series Classification, Spectral Analysis, Wavelet Analysis, Fuzzy Classifiation, Interval Time Series Analysis.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research area keywords
- Time Series Classification
- Spectral Analysis
- Wavelet Analysis
- Fuzzy Classification
- Interval Time Series Analysis
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 1 Finished
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Time series clustering and classification
D'Urso, P., De Giovanni, L. & Maharaj, E. A., Sept 2024, In: International Journal of Approximate Reasoning. 172, 3 p., 109238.Research output: Contribution to journal › Editorial › Other › peer-review
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Wavelet-based fuzzy clustering of interval time series
D'Urso, P., De Giovanni, L., Maharaj, E. A., Brito, P. & Teles, P., Jan 2023, In: International Journal of Approximate Reasoning. 152, p. 136-159 24 p.Research output: Contribution to journal › Article › Research › peer-review
12 Citations (Scopus) -
Deployment of renewable energy sources: empirical evidence in identifying clusters with dynamic time warping
Maharaj, E. A., Giovanni, L. D., D’Urso, P. & Bhattacharya, M., 2022, (Accepted/In press) In: Social Indicators Research. 22 p.Research output: Contribution to journal › Article › Research › peer-review
1 Citation (Scopus) -
A test to compare interval time series
Maharaj, E. A., Brito, P. & Teles, P., Jun 2021, In: International Journal of Approximate Reasoning. 133, p. 17-29 13 p.Research output: Contribution to journal › Article › Research › peer-review
6 Citations (Scopus) -
Cepstral-based clustering of financial time series
D'Urso, P., Giovanni, L. D., Massari, R., D'Ecclesia, R. L. & Maharaj, E. A., 15 Dec 2020, In: Expert Systems with Applications. 161, 16 p., 113705.Research output: Contribution to journal › Article › Research › peer-review
32 Citations (Scopus)
Prizes
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Monash Business School Award for Teaching Excellence
Maharaj, Ann (Recipient), 2017
Prize: Prize (including medals and awards)