Interview with Dr Christina Gillmann
Dr Christina Gillmann finished her PhD in 2018 as part of the international research training group "Physical Modeling for Virtual Manufacturing Systems and Processes" at the University of Kaiserslautern. Her research is centered around the applicability of image processing techniques in different domain. Her projects origin from collaborations with a variety of institutions from Germany, the US and Colombia.
- Image Processing
- Uncertainty Visualisation
- Machine Learning
Of interest to
- Researcher and developer in Image Analysis
- Researcher and developer in Uncertainty Analysis
How would you explain "uncertainty" to a non-expert?
Imagine you take a photo using the camera on your mobile phone. It comes out blurry. You are certain of that because you can see the photographed object before your eyes. But if you take an image from the medical field, for example, the MRT of a head you cannot be so sure if it is blurry or not. This issue explains what is meant by the uncertainty of images.
Your research examines image processing in many different areas. How much expertise did you need to acquire for each area and how easy or difficult was that for you?
To understand the data and the problems of a particular field it is crucial to know something about it. For the medical sector that was fairly easy for me since I had gone to several lectures and worked on that topic for over ten years. In other fields in which I had less experience, it took a bit longer to get used to it. There often the users themselves helped me by explaining the issues they had come across.
Towards the end of your thesis, you write that users need a higher acceptance towards new methods of image processing. How would you describe the relationship between user and software from your point of view?
In many areas, users view new software with scepticism. This is understandable because they know that it usually takes time and experience to be able to solve a problem.
In my opinion, many software solutions make the mistake of showing a too patronising attitude towards their users or they communicate results poorly or they are simply not user-friendly. If that changes, a new acceptance towards software solutions could be achieved.
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