CV

Danil Kuzin

Physics Department
Lancaster University
Lancaster LA1 4YB
danilkuzin@gmail.com
https://danilkuzin.github.io

Education

2014-2019 PhD studies (part-time): The University of Sheffield, UK
Department of Automatic Control and Systems Engineering Thesis: Sparse Machine Learning Methods for Autonomous Decision Making
2007-2012 Specialist in Mathematics and System Programming: Lomonosov Moscow State University, Russia
Faculty of Computational Mathematics and Cybernetics Department of Systems Analysis
Thesis: Modelling term structure of interest rates

Courses

2017 Gaussian Process Summer School: Sheffield, UK

Employment

since Sep 2019 Senior Research Associate: Lancaster University
Jan-Mar 2019 Research Assistant: Machine Learning Research Group
University of Oxford
2014-2017 Software Developer: Rinicom Ltd, UK
2012-2014 Financial Engineer: Zenit Bank, Russia

Served as a reviewer

The 39th Conference on Uncertainty in Artificial Intelligence (UAI), 2023
21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022
The 38th Conference on Uncertainty in Artificial Intelligence (UAI), 2022
20th IEEE International Conference on Machine Learning and Applications (ICMLA), 2021
The 37th Conference on Uncertainty in Artificial Intelligence (UAI), 2021
The 36th Conference on Uncertainty in Artificial Intelligence (UAI), 2020
The 35th Conference on Uncertainty in Artificial Intelligence (UAI), 2019
The 29th Conference on Neural Information Processing Systems (NIPS), 2016
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Awards

UAI 2022 Top Reviewer
Travel grant from NeurIPS ML4D workshop 2018
Best paper award at NeurIPS ML4D workshop 2018

Grants

Alan Turing Institute Post Doctoral Enrichment Award 2022

Publications

Journals

2022 B. Simmons, et al. Disaster, Infrastructure and Participatory Knowledge: The Planetary Response Network. Citizen Science: Theory and Practice. Citizen Science: Theory and Practice
2018 D. Kuzin, O. Isupova, L. Mihaylova. Spatio-Temporal Structured Sparse Modelling with Hierarchical Gaussian Process Priors. IEEE Transactions on Signal Processing
2018 O. Isupova, D. Kuzin, L. Mihaylova. Learning Methods for Dynamic Topic Modeling in Automated Behaviour Analysis. IEEE Transactions on Neural Networks and Learning Systems
unpublished O. Isupova, D. Kuzin, L. Mihaylova. Change Point Detection with Gaussian Processes. IEEE Transactions on Pattern Analysis and Machine Intelligence

Conferences

2019 D. Kuzin, O. Isupova, L. Mihaylova, Bayesian neural networks for sparse coding. 44th International Conference on Acoustics, Speech, and Signal Processing. Brighton, UK
2018 D. Kuzin, L. Yang, O. Isupova, L. Mihaylova, Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning. 21st International Conference on Information Fusion, Cambridge, UK
2016 O. Isupova, D. Kuzin, L. Mihaylova, Dynamic Hierarchical Dirichlet Process for Abnormal Behaviour Detection in Video. 19th International Conference on Information Fusion, Heidelberg, Germany
2015 D. Kuzin, O. Isupova, L. Mihaylova. Compressive Sensing Approaches for Autonomous Object Detection in Video Sequences. 10th Workshop on Sensor Data Fusion: Trends, Solutions, and Applications, Bonn, Germany
2015 O. Isupova, L. Mihaylova, D. Kuzin, G. Markarian, F. Septier. An Expectation Maximisation Algorithm for Behaviour Analysis in Video. 18th International Conference on Information Fusion, Washington, USA
2015 O. Isupova, D. Kuzin, L. Mihaylova. Abnormal behaviour detection in video using topic modeling. University of Sheffield Engineering Symposium, Sheffield, UK

Workshops

2021 D. Kuzin, O. Isupova, B. Simmons, S. Reece. Disaster mapping from satellites: damage detection with crowdsourced point labels. 3rd Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response at NeurIPS 2021, Virtual. Oral presentation
2019 O. Isupova, D.Kuzin, B. Simmons, S. Reece. Rapid Post Disaster Damage Mapping with Satellite Imagery, Citizen Scientists and Machine Learning. UK Alliance for Disaster Research Annual Conference, Newcastle, UK
2019 O. Isupova, D.Kuzin, B. Simmons, S. Reece. Disaster response: Leveraging wide area earth observation with machine learning. General Assembly of the European Geosciences Union, Vienna, Austria
2018 D. Kuzin, O. Isupova, L. Mihaylova. Uncertainty Propagation in Neural Networks for Sparse Coding. NeurIPS Bayesian Deep Learning Workshop, Montreal, Canada
2018 O. Isupova, Y. Li, D. Kuzin, S. Roberts, K. Willis, S. Reece. BCCNet: Bayesian Classifier Combination Neural Network. NeurIPS ML for the Developing World Workshop, Montreal, Canada
2018 O. Isupova, D. Kuzin, L. Mihaylova. Discovering Dynamic Topic Transitions in Topic Models. NeurIPS All Of Bayesian Nonparametrics Workshop, Montreal, Canada
2017 D. Kuzin, O. Isupova, L. Mihaylova. Structured Sparse Modelling with Hierarchical GP. Signal Processing with Adaptive Sparse Structured Representations, Lisbon, Portugal
2016 & O. Isupova, D. Kuzin, L. Mihaylova. Anomaly Detection in Video with Bayesian nonparametrics. ICML Anomaly Detection Workshop, New York, USA

Teaching assistant

2021 PHYS114 Complex Methods

Invited talks

FG-AI4NDM / AI4Good Summit. Artificial Intelligence for Natural Disaster Management. 16 March 2022
Spotlight: Machine Learning in Disaster Management. Alan Turing Institute’s Data-Centric Engineering (DCEng) Summit. 22–23 September 2021