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Personal profile

Biography

General information

I am a Senior Research Fellow in Machine Learning and the recipient of an ARC DECRA fellowship. I research algorithms in machine learning and build models for environmental and social good.

My main research interests currently include:

  • scaling up machine learning to large time series datasets
  • creating land-cover maps from series of high-resolution satellite images
  • modelling high-dimensional joint and conditional probabilities from categorical data

Grants

I have been fortunate to receive the following awards:

Some biography

I obtained my PhD in 2012 with the French Space Agency on the automatic analysis of satellite images, PhD for which I received "Best Science PhD" from the University of Strasbourg and "Best Machine Learning PhD" from the French Machine Learning Association. I then joined Professor Geoff Webb's team in the then Monash Centre for Data Science, and began developing new algorithms for scaling up standard statistical methods to large datasets. I obtained "tenure" in 2016.

Research area keywords

  • Bayesian networks
  • Data Analysis
  • Data Management/Analysis
  • Data Mining
  • Data analysis
  • Data management
  • Data mining
  • Data modelling
  • Earth Satellite Applications
  • Earth/Terrestrial Remote Sensing
  • Image Processing
  • Image analysis
  • Image processing, industrial image processing
  • Imaging Sciences
  • Remote Sensing
  • Remote Sensing Technology
  • Machine Learning
  • Big Data
  • Time Series Analysis
  • Satellite Images

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

Projects

Research Output

Bayesian network classifiers using ensembles and smoothing

Zhang, H., Petitjean, F. & Buntine, W., 30 Mar 2020, (Accepted/In press) In : Knowledge and Information Systems. 24 p.

Research output: Contribution to journalArticleResearchpeer-review

FastEE: fast Ensembles of Elastic Distances for time series classification

Tan, C. W., Petitjean, F. & Webb, G. I., Jan 2020, In : Data Mining and Knowledge Discovery. 34, 1, p. 231-272 42 p.

Research output: Contribution to journalArticleResearchpeer-review

TS-CHIEF: a scalable and accurate forest algorithm for time series classification

Shifaz, A., Pelletier, C., Petitjean, F. & Webb, G. I., 5 Mar 2020, In : Data Mining and Knowledge Discovery. 34, p. 742-775 34 p.

Research output: Contribution to journalArticleResearchpeer-review

A left-to-right algorithm for likelihood estimation in gamma-poisson factor analysis

Capdevila, J., Cerquides, J., Torres, J., Petitjean, F. & Buntine, W., 2019, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018 Dublin, Ireland, September 10–14, 2018 Proceedings, Part II. Berlingerio, M., Bonchi, F., Gärtner, T., Hurley, N. & Ifrim, G. (eds.). Cham Switzerland: Springer, p. 638-654 17 p. (Lecture Notes in Computer Science ; vol. 11052 ).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)

Automatic alignment of surgical videos using kinematic data

Ismail Fawaz, H., Forestier, G., Weber, J., Petitjean, F., Idoumghar, L. & Muller, P. A., 2019, Artificial Intelligence in Medicine: 17th Conference on Artificial Intelligence in Medicine, AIME 2019 Poznan, Poland, June 26–29, 2019 Proceedings. Riaño, D., Wilk, S. & ten Teije, A. (eds.). Cham Switzerland: Springer, p. 104-113 10 p. (Lecture Notes in Computer Science ; vol. 11526 ).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Prizes

Dean's Award for Excellence in Research by an Early Career Researcher

Petitjean, Francois (Recipient), 2015

Prize: Prize (including medals and awards)

Dean's Award for Excellence in Research Impact

Petitjean, Francois (Recipient), 2016

Prize: Prize (including medals and awards)

Discovery Early Career Researcher Award

Petitjean, Francois (Recipient), 2017

Prize: Prize (including medals and awards)

IBM Faculty Award

Petitjean, Francois (Recipient), 30 Sep 2016

Prize: Prize (including medals and awards)

SIAM International Conference on Data Mining (SDM-18) Best Research Paper Award

Tan, Chang Wei (Recipient), Herrmann, Matthieu (Recipient), Germain Forestier (Recipient), Webb, Geoff (Recipient) & Petitjean, Francois (Recipient), 2018

Prize: Prize (including medals and awards)

Activities

  • 1 Committees and working groups
  • 1 Editorial responsibility

Member of the National Committee for Data in Science

Francois Petitjean (Member)

23 Oct 2019 → …

Activity: External Academic EngagementCommittees and working groups

Data Mining and Knowledge Discovery (Journal)

Francois Petitjean (Editorial board member)

2019 → …

Activity: Publication peer-review and editorial work typesEditorial responsibility

Press / Media

Release of MonashVegMap

Francois Petitjean

5/07/19

1 item of Media coverage

Press/Media: Article/Feature