1 January 2025 to 28 February 2025
Online
Europe/Berlin timezone

Insights into physics by AI & ML analysis and visualisation of complex data

1 Jan 2025, 09:10
5m
Online

Online

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

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.

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

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

What is your expertise in computing and / or software development?

long-term experience in programming and data analysis

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

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
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

Primary author

Erik Bründermann (KIT)

Presentation materials

There are no materials yet.