Alexander Nikitin

Machine learning & Mathematics & Programming
Aalto University Probabilistic Machine Learning Group

Email: firstname.lastname(at)


My research is focused on probabilistic and human-in-the-loop machine learning. In particular, I am interested in Gaussian processes, generative models, and interactive methods. My research is driven by applications, and I continuously work with technology companies and help them to implement my findings. Application-wise, I am interested in telecommunications, biology, and health.


Alexander Nikitin and Samuel Kaski. 2022. Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations. Accepted to KDD 2022.

Nikitin, Alexander V., S. T. John, Arno Solin, and Samuel Kaski. 2022. Non-separable spatio-temporal graph kernels via SPDEs. In International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR.
Preprint | Code | Poster

Alexander Nikitin and Samuel Kaski. 2021. Decision Rule Elicitation for Domain Adaptation. 26th International Conference on Intelligent User Interfaces. Association for Computing Machinery, New York, NY, USA, 244–248. DOI:
Preprint | ACM


Machine learning: Advanced Probabilistic Mehtods (2021, 2022), TA, Aalto University,
Bayesian Data Analysis: Global South (2021), TA, Aalto University,
Principles of Algorithmic Techniques (2020), TA, Aalto University.


Letizia Iannucci (BS, Aalto University), Improving the Accuracy of Time Series Classification through Data Augmentation, 2021,
Vinh Nguyen (BS, Aalto University), Towards Deep Learning in Predictive Maintenance, 2020.

Community Service

Reviewer: EEE Transactions on Pattern Analysis and Machine Intelligence(2022), AISTATS(2022), ACL(2020).