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.
Together with Nicolas Krauter, Bettina Derstroff, Christof Stönner, Efstratios Bourtsoukidis, Achim Edtbauer, Jochen Wulf, Thomas Klüpfel, Stefan Kramer, and Jonathan […]
In: arXiv preprint, 2021.
In: Journal of Cheminformatics, 13 (1), pp. 63, 2021.
In: arxiv, 2105.00495 , 2021, (preprint).
In: Computers in Biology and Medicine, 130 , pp. 104197, 2021, ISSN: 0010-4825.
In: Earthquake Spectra, 36 (2), pp. 314-339, 2020.
Semi-Supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation Inproceedings Forthcoming
In: Proceeding of the Thirty-Sixth AAAI Conference on Artificial Intelligence, Forthcoming.
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.
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.
In: IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1226-1233, IEEE, 2020.
In: 2020 IEEE International Conference on Data Mining (ICDM), pp. 996-1001, IEEE, 2020, ISSN: 2374-8486.
In: 17th World Conference on Earthquake Engineering, 2020.