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Dr Daniel Schumayer

Professional Practice Fellow

Photo of Dr Daniel Schumayer.

Room 114
Phone numbers
3563 (Office)
64 3 470 3563 (Office Direct Dial)
Research Group

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2000 M.Sc.– Budapest University of Technology and Economics
2004 Ph.D.– Budapest University of Technology and Economics

Currently I am interested in developing algorithms and applying inference techniques to industrial problems. Despite this shift towards more applied sciences, I still maintain a branch of research in theoretical physics, e.g. developing Path Integral Monte Carlo methods for various phase transitions.

Currently active research areas:

Models of crystal oscillators: our everyday electronic devices (e.g. mobile, laptops, tablets, GPS, etc) have to keep track of time, measure geographic location or distance travelled. In order to achieve any of these tasks precise clocks are needed. Crystal oscillators provide a solution for achieving this aim. However, there are factors which limit the precision of such oscillators. My aim is to understanding the physics of oscillators, and develop algorithms which may help in actively eliminating some of these limiting factors.

Inference algorithms for continuous measurements: As computational power rapidly increasing, variety of the practically useful statistical algorithms can be directly adapted and utilised for industrial problems. In our group we attempt to implement such algorithms in already existing commercial devices, thereby improving their performance without the need of possibly costly re-design of the hardware.

Precision agriculture and decision support systems: New Zealand's economy hugely rely on the performance of its agriculture sector, therefore any improvement in the analysis of measurements (e.g. weight gain of an animal) or any improvement in predicting the likelihood of events based on measurements may have substantial outcome not only for the individual farmers, but eventually for the country as well. In the electronics group, we engage in developing not only the devices for precise measurements, but also algorithms which do not necessarily demand large-scale post-processing.

Find out more about my research.