Joel Janek Dabrowski

Research Interests:

● Deep Learning ● Bayesian Modelling ● Machine Learning ● Time Series Analysis ●

Current Institution:

Data61, CSIRO (The Commonwealth Scientific and Industrial Research Organisation), Australia.

Academic Qualifications:

• PhD (University of Pretoria)
• Honours in Electronic Engineering (University of Pretoria)
• Bachelor of Electrical and Electronic Engineering (University of Johannesburg)

Links:

Google Scholar: G6icCU4AAAAJ
GitHub: https://github.com/jjdabr
LinkedIn: https://au.linkedin.com/in/joel-dabrowski-a7a99716b
CSIRO: https://people.csiro.au/d/j/joel-dabrowski

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Papers (first author pre-prints)

2023

• Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning, JJ Dabrowski, A Rahman, IEEE International Joint Conference on Neural Networks (IJCNN), 2023
• Bayesian Physics Informed Neural Networks for data assimilation and spatio-temporal modelling of wildfires, JJ Dabrowski, DE Pagendam, J Hilton, C Sanderson, D MacKinlay, C Huston, A Bolt, P Kuhnert, Spatial Statistics, 2023
• Quality Control in Weather Monitoring with Dynamic Linear Models, JJ Dabrowski, A Rahman, M Li, Q Shao, S Bakar, A Powell, B Henderson, The 2nd AAAI Workshop on AI for Agriculture and Food Systems, 2023

2022

• Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution, JJ Dabrowski, DE Pagendam, arXiv Preprint, 2022
• Towards Data Assimilation in Level-Set Wildfire Models Using Bayesian Filtering, JJ Dabrowski, C Huston, J Hilton, S Mangeon, P Kuhnert, arXiv Preprint, 2022
• Deep Learning for Prawn Farming: Forecasting and Anomaly Detection, JJ Dabrowski, A Rahman, A Hellicar, M Rana, S Arnold, Advances in Knowledge Discovery and Data Mining. PAKDD 2022. Lecture Notes in Computer Science, vol 13282

2020

• ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting, JJ Dabrowski, Y Zhang and A Rahman, arXiv:2002.04155 [cs.LG], 2020
• Enforcing mean reversion in state space models for prawn pond water quality forecasting. JJ Dabrowski, A Rahman, DE Pagendam, A George, Computers and Electronics in Agriculture 168, 105120

2019

• Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction, JJ Dabrowski, JP de Villiers, A Rahman, C Beyers, International Conference on Neural Information Processing, 458-465, 2019
• Sequence-to-Sequence Imputation of Missing Sensor Data, JJ Dabrowski, A Rahman, Australasian Joint Conference on Artificial Intelligence, 265-276, 2019

2018

• Prediction of dissolved oxygen from pH and water temperature in aquaculture prawn ponds, JJ Dabrowski, A Rahman, A George, Proceedings of the Australasian joint conference on artificial intelligence …, 3, 2018
• State space models for forecasting water quality variables: an application in aquaculture prawn farming, JJ Dabrowski, A Rahman, A George, S Arnold, J McCulloch, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 10, 2018
• Naïve Bayes switching linear dynamical system: A model for dynamic system modelling, classification, and information fusion, JJ Dabrowski, JP de Villiers, C Beyers, Information Fusion 42, 75-101, 5, 2018

2017

• Context-based behaviour modelling and classification of marine vessels in an abalone poaching situation, JJ Dabrowski, JP de Villiers, C Beyers, Engineering Applications of Artificial Intelligence 64, 95-111, 4, 2017

2016

• Systemic banking crisis early warning systems using dynamic Bayesian networks, JJ Dabrowski, C Beyers, JP de Villiers, Expert systems with applications 62, 225-242, 28, 2016

2015

• A unified model for context-based behavioural modelling and classification, JJ Dabrowski, JP De Villiers, Expert Systems with Applications 42 (19), 6738-6757, 11, 2015
• Maritime piracy situation modelling with dynamic Bayesian networks, JJ Dabrowski, JP De Villiers, Information fusion 23, 116-130, 35, 2015
• Contextual behavioural modelling and classification of vessels in a maritime piracy situation, JJ Dabrowski, University of Pretoria, 2015,