Jörg Simon Wicker

Senior Lecturer | School of Computer Science | The University of Auckland
Senior Lecturer | School of Computer Science | The University of Auckland

I am senior lecturer at the School of Computer Science of the University of Auckland, CTO of enviPath, and lead the Machine Learning Group at UoA. My main research area is machine learning and its application to bioinformatics, cheminformatics, and computational sustainability. Before joining the University of Auckland in 2017, I did a PostDoc at University of Mainz, Germany, and a PhD at Technical University of Munich, Germany. My current research focuses on diverse areas ranging from reliability of machine learning algorithms, particularly in respect to adversarial learning and bias to applications in epidemology, SLAM, environmental research, and cybersecurity.


I am currently looking for PhD, Honours, or Masters students, if you are interested in any of my research areas, contact me by mail. Also check the Supervision page for funding information.

We won the Ig Nobel Prize!

Together with Nicolas Krauter, Bettina Derstroff, Christof Stönner, Efstratios Bourtsoukidis, Achim Edtbauer, Jochen Wulf, Thomas Klüpfel, Stefan Kramer, and Jonathan […]

Journal Articles

Pullar-Strecker, Zac; Dost, Katharina; Frank, Eibe; Wicker, Jörg

Hitting the Target: Stopping Active Learning at the Cost-Based Optimum Journal Article

In: arXiv preprint, 2021.

Abstract | Links | BibTeX

Tam, Jason; Lorsbach, Tim; Schmidt, Sebastian; Wicker, Jörg

Holistic Evaluation of Biodegradation Pathway Prediction: Assessing Multi-Step Reactions and Intermediate Products Journal Article

In: Journal of Cheminformatics, 13 (1), pp. 63, 2021.

Abstract | Links | BibTeX | Altmetric

Chang, Luke; Dost, Katharina; Zhai, Kaiqi; Demontis, Ambra; Roli, Fabio; Dobbie, Gillian; Wicker, Jörg

Intriguing Usage of Applicability Domain: Lessons from Cheminformatics Applied to Adversarial Learning Journal Article

In: arxiv, 2105.00495 , 2021, (preprint).

Abstract | Links | BibTeX

Stepišnik, Tomaž; Škrlj, Blaž; Wicker, Jörg; Kocev, Dragi

A comprehensive comparison of molecular feature representations for use in predictive modeling Journal Article

In: Computers in Biology and Medicine, 130 , pp. 104197, 2021, ISSN: 0010-4825.

Abstract | Links | BibTeX | Altmetric

Roeslin, Samuel; Ma, Quincy; Juárez-Garcia, Hugon; Gómez-Bernal, Alonso; Wicker, Jörg; Wotherspoon, Liam

A machine learning damage prediction model for the 2017 Puebla-Morelos, Mexico, earthquake Journal Article

In: Earthquake Spectra, 36 (2), pp. 314-339, 2020.

Abstract | Links | BibTeX | Altmetric


Graffeuille, Olivier; Koh, Yun Sing; Wicker, Jörg; Lehmann, Moritz

Semi-Supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation Inproceedings Forthcoming

In: Proceeding of the Thirty-Sixth AAAI Conference on Artificial Intelligence, Forthcoming.

Abstract | BibTeX

Poonawala-Lohani, Nooriyan; Riddle, Pat; Adnan, Mehnaz; Wicker, Jörg

A Novel Approach for Time Series Forecasting of Influenza-like Illness Using a Regression Chain Method Inproceedings Forthcoming

In: Pacific Symposium on Biocomputing, pp. 301-312, Forthcoming.

Abstract | Links | BibTeX

Kim, Jonathan; Urschler, Martin; Riddle, Pat; Wicker, Jörg

SymbioLCD: Ensemble-Based Loop Closure Detection using CNN-Extracted Objects and Visual Bag-of-Words Inproceedings Forthcoming

In: IEEE/RSJ International Conference on Intelligent Robots and Systems, Forthcoming.

Abstract | Links | BibTeX

SymbioLCD: Ensemble-Based Loop Closure Detection using CNN-Extracted Objects and Visual Bag-of-Words

Chester, Andrew; Koh, Yun Sing; Wicker, Jörg; Sun, Quan; Lee, Junjae

Balancing Utility and Fairness against Privacy in Medical Data Inproceedings

In: IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1226-1233, IEEE, 2020.

Abstract | Links | BibTeX | Altmetric

Dost, Katharina; Taskova, Katerina; Riddle, Pat; Wicker, Jörg

Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias Inproceedings

In: 2020 IEEE International Conference on Data Mining (ICDM), pp. 996-1001, IEEE, 2020, ISSN: 2374-8486.

Abstract | Links | BibTeX | Altmetric

Roeslin, Samuel; Ma, Quincy; and Pavan Chigullapally,; Wicker, Jörg; Wotherspoon, Liam

Feature Engineering for a Seismic Loss Prediction Model using Machine Learning, Christchurch Experience Inproceedings

In: 17th World Conference on Earthquake Engineering, 2020.

Abstract | Links | BibTeX