Professional Practice Fellow
- Location
- Room 114
- Phone numbers
- 3563 (Office)
64 3 470 3563 (Office Direct Dial)
- daniel.schumayer@otago.ac.nz
- Research Group
- https://www.otago.ac.nz/dodd-walls/index.html
Download the vCard for Dr Daniel Schumayer
Biography
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.
Current teaching
PHSI 131 Physical Law and Its Applications
ELEC 353 Analog Electronics
ELEC 358 Electronic Design Techniques
PHSI 422 Upper Atmospheric and Space Physics
ELEC 442 Digital Signal Processing
ELEC 443 Boundary Value Problems of Mathematical Physics
ELEC 445 Inverse Problems and Imaging
Course Coordinator
ELEC 353 Analog electronics
ELEC 358 Electronic Design Techniques
PHSI 422 Upper Atmospheric and Space Physics
ELEC 442 Digital Signal Progessing
ELEC 443 Boundary Value Problems of Mathematical Physics