Speaker
Erik Bründermann
(KIT)
Description
- most burning question: how to easily access and run a plethora of AI & ML algorithms on the same data and benchmark it to known standards in statistics and models in physics.
- like to gain new knowledge/insights via visualisation of condensed, complex, partly sparse, partly correlated, multidimensional data.
- expertise: data analysis and visualization.
- data handling: good practice in large-scale facility and with IT experts challenges in research data management
- kind of data: multi-dimensional incl. timeseries and multi-modal data. Big data.
- expertise computing / software development: long-term experience in programming and data analysis
- field: physics (incl. mathematics)
- role: head of department (accelerator R&D and operations). Dept. with IT group servicing large-scale facility and AI&ML team active in various use cases such as autonomous accelerator
What is your expertise in computing and / or software development?
long-term experience in programming and data analysis
What is your field and role?
- field: physics (incl. mathematics)
- role: head of department (accelerator R&D and operations). Dept. with IT group servicing large-scale facility and AI&ML team active in various use cases such as autonomous accelerator
In ErUM-Data, what kind of data are you dealing with?
multi-dimensional incl. timeseries and multi-modal data. Big data
Please describe your expertise/areas in which you would like to contribute / advise.
data analysis and visualization
Please describe areas in which you would like to improve your knowledge / skills.
like to gain new knowledge / insights via visualisation of condensed, complex, partly sparse, partly correlated, multidimensional data.
My current most burning research question, I like to find partners for, is:
how to easily access and run a plethora of AI&ML algorithms on the same data and benchmark it to known standards in statistics and models in physics
Please describe areas in which you can contribute to “data handling” teaching.
good practice in large-scale facilities and with IT experts challenges in research data management
| Your ErUM - Committee is | KfB - Komitee für Beschleunigerphysik |
|---|---|
| Do you consent to the data usage and public abstract data posting in the ErUM-Data Community Information Exchange? | Yes |
Author
Erik Bründermann
(KIT)
