If you made any changes in Pure these will be visible here soon.

Personal profile


Christoph Bergmeir is a Senior Lecturer in Data Science and Artificial Intelligence, and a 2019 ARC DECRA Fellow in the Department of Data Science and Artificial Intelligence at Monash University. His fellowship is on the development of “efficient and effective analytics for real-world time series forecasting”. He works as a Data Scientist in a variety of projects with external partners in diverse sectors, e.g. in healthcare or infrastructure maintenance. Christoph holds a PhD in Computer Science from the University of Granada, Spain, and an M.Sc. degree in Computer Science from the University of Ulm, Germany. He has published on time series prediction using Machine Learning methods, recurrent neural networks and long short-term memory neural networks (LSTM), time series predictor evaluation, as well as on medical applications and software packages in the R programming language, in journals such as IEEE Transactions on Neural Networks and Learning Systems, Journal of Statistical Software, Computational Statistics and Data Analysis, and Information Sciences.

Christoph Bergmeir's personal website


Monash teaching commitment

Dr Christoph Bergmeir has taught the following units at Monash University in the past:

  • 2018 FIT3163/FIT3164: Data Science project 1 and 2
  • 2017 FIT5120AA: Industry Experience Studio Project (Advanced Analytics Stream)
  • 2016, 2017 FIT5145: Introduction to Data Science both on campus within the Master of Data     Science and online within the Graduate Diploma in Data Science (GDDS)


Education/Academic qualification

Computer Science, Doctor of Philosophy (Doctor por la Universidad de Granada), Universidad de Granada (University of Granada)

Award Date: 21 Mar 2013

Computer Science, Master Universitario en Soft Computing b Sistemas Intelligentes, Universidad de Granada (University of Granada)

Award Date: 20 Jan 2010

Computer Science, Diplom Informatiker, Universitat Ulm (University of Ulm)

Award Date: 16 Jan 2008

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.


Research Output

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., 2 Apr 2020, In : Journal of Asthma. 57, 4, p. 398-404 7 p.

Research output: Contribution to journalArticleResearchpeer-review

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

5 Citations (Scopus)

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

1 Citation (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

5 Citations (Scopus)