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Personal profile


Christoph Bergmeir received the M.Sc. degree in Computer Science from the University of Ulm, Germany, in 2008, and the Ph.D. degree from the University of Granada, Spain, in 2013. He is currently working at the Faculty of Information Technology as a Research Fellow in Applied Machine Learning.

Monash teaching commitment

Dr Christoph Bergmeir has experience as the Lecturer of the following units in the Faculty of IT:

  • FIT5145 Introduction to data science

Research area keywords

  • Machine Learning
  • Time series forecasting
  • R programming

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

Projects 2017 2022

Research Output 2008 2020

1 Citation (Scopus)

Forecasting across time series databases using recurrent neural networks on groups of similar series: a clustering approach

Bandara, K., Bergmeir, C. & Smyl, S., Feb 2020, In : Expert Systems with Applications. 140, 16 p., 112896.

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

A comparison of characteristics and outcomes of patients admitted to the ICU with asthma in Australia and New Zealand and United states

Abdelkarim, H., Durie, M., Bellomo, R., Bergmeir, C., Badawi, O., El-Khawas, K. & Pilcher, D., 31 Jan 2019, (Accepted/In press) In : Journal of Asthma. 7 p.

Research output: Contribution to journalArticleResearchpeer-review

Closing the gap in surveillance and audit of invasive mold diseases for antifungal stewardship using machine learning

Baggio, D., Peel, T., Peleg, A. Y., Avery, S., Prayaga, M., Foo, M., Haffari, R., Liu, M., Bergmeir, C. & Ananda-Rajah, M., 5 Sep 2019, In : Journal of Clinical Medicine. 8, 9, 13 p., 1390.

Research output: Contribution to journalArticleResearchpeer-review

Open Access

Sales demand forecast in E-commerce using a long short-term memory neural network methodology

Bandara, K., Shi, P., Bergmeir, C., Hewamalage, H., Tran, Q. & Seaman, B., 2019, Neural Information Processing : 26th International Conference, ICONIP 2019 Sydney, NSW, Australia, December 12–15, 2019 Proceedings, Part III. Gedeon, T., Wong, K. W. & Lee, M. (eds.). Cham Switzerland: Springer, p. 462-474 13 p. (Lecture Notes in Computer Science ; vol. 11955).

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

4 Citations (Scopus)

A forecasting methodology for workload forecasting in cloud systems

Baldan, F. J., Ramirez-Gallego, S., Bergmeir, C., Herrera, F. & Benitez-Sanchez, J. M., 1 Dec 2018, In : IEEE Transactions on Cloud Computing. 6, 4, p. 929-941 13 p.

Research output: Contribution to journalArticleResearchpeer-review