Johannes Hendriks

Research Associate

Interests

Instruments and techniques; time series and spatial modelling; simulation, modelling, and programming of mechatronics systems; reinforcement learning.

Research

Dr Hendriks’ research in the Battery Storage and Grid Integration Program applies statistical modelling and data analysis methods to provide insights for the transition to a renewable energy grid.

Biography

Dr Hendriks is a research associate in the Battery Storage and Grid Integration Program at The Australian National University. Prior to this, he completed a PostDoc at the University of Newcastle. His research focused on the intersection of engineering, machine learning, and data science. This project applied recent statistical methods from data science, such as Hamiltonian Monte Carlo, to the modelling and forecasting of dynamic systems and time series data. The developed methods allow uncertainty to be taken into account when making control decisions providing greater robustness and certainty in the outcome.

Dr Hendriks completed his BEng (Mechatronics) and PhD (Mechanical Engineering) at the University of Newcastle, Austraila, in 2015 and 2020, respectively. His PhD applied machine learning and statistical methods in the field of material science to develop algorithms for mechanical stress tomography that can aid in the development of novel manufacturing techniques such as metallic additive manufacturing.

Activities & Awards

For more information, please see Dr Hendriks’ publications.

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