Conference

The purpose of this conference is to provide a common platform for mathematicians from academia, research laboratories and industry at the site to exchange ideas and present current results. The format is on a bi-annual basis and has an international focus.

The focus of the second edition of KLAIM is on the synthesis of models and data.

The workshop is jointly hosted and organized by our institute, the Fraunhofer Institute for Industrial Mathematics ITWM, and the Department of Mathematics at Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau.

We are pleased to announce that a total of 61 presentations have been submitted. The complete program and the book of abstracts you can found in the blue box as PDFs.

Plenary Speakers

We were successful in attracting the following speakers:

• Prof. Dr. Peter Benner (Max-Planck-Institut Magdeburg, Fields of Activity Computational Methods in Systems and Control Theory)
• Dr. Robert Bixby (Rice University, Fields of Activity Linear and Integer Optimization)
• apl. Prof. Dr.-Ing. Jörg Fehr (University of Stuttgart, Institute of Engineering and Computational Mechanics, Fields of Activity Driving Safety and Model Reduction in Elastic Multibody Systems)
• Prof. Dr. Gitta Kutyniok (Ludwig Maximilians University Munich, Fields of Activity Mathematical Foundations of Artificial Intelligence)
• Assoz. Prof. Mag. Dr. techn. Ivana Ljubic (ESSEC Business School and Academic Director for Executive MBA-Programs, Professor for Operations Research)
• Dr. Eliza O'Reilly (California Institute of Technology, Postdoctoral Scholar in Computing and Mathematical Sciences, Focus on Data Science. From July 2023 Assistant Professor in the Department of Applied Mathematics and Statistics at Johns Hopkins University.)
• Prof. Dr. rer. nat. Matthias Scherer (Technical University Munich, Professur for Risk and Insurance)
• Dr. Kevin Sturm (Technical University Vienna, Institute for Analysis and Scientific Computing, Assistant Professor of Numerical Optimization)

Program and Tracks

The program will be structured along the five tracks

1. Models and Data across Scales and Domains in Engineering Applications. This track is in collaboration with the ECMI Special Interest Group Math for the Digital Factory.
2. Risk Management and Machine Learning
3. Simulation and Optimization in Fluid Dynamics
4. Mathematical Programming: Uncertain Data and Multiple Objectives
5. Analyzing Materials Structures: Images, Machine Learning and Stochastic Geometry

Besides we plan a special session about Mathematical Research Data Initiative (MaRDI).