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HGS MathComp - Where Methods Meet Applications

The Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences (HGS MathComp) at Heidelberg University is one of the leading graduate schools in Germany focusing on the complex topic of Scientific Computing. Located in a vibrant research environment, the school offers a structured interdisciplinary education for PhD students. The program supports students in pursuing innovative PhD projects with a strong application-oriented focus, ranging from mathematics, computer science, bio/life-sciences, physics, and chemical engineering sciences to cultural heritage. A strong focus is put on the mathematical and computational foundations: the theoretical underpinnings and computational abstraction and conception.

HGS MathComp Principal Investigators are leading experts in their fields, working on projects that combine mathematical and computational methodology with topical research issues. Individual mentoring for PhD candidates and career development programs ensure that graduates are fully equipped to take up top positions in industry and academia.

Upcoming Events [see all...]

07.05.2024
18:00
HGS MathComp Pizza Get-Together
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Networking
Location: Neckarwiese
Registration: Please use this form to register (Deadline: May 2, 2024)
Organizer: HGS MathComp Fellow Speakers
ECTS: 0
The HGS MathComp Fellow Speakers invite all HGS MathComp members and prospective members to a pizza get-together on Tuesday, May 7, starting at 18:00. We will meet at Neckarwiese, close to Ernst-Walz-Brücke. You are welcome to bring picnic blankets and games, such as spikeball etc.

Please register via this link so that we know how much pizza and drinks we need to organize: Registration will be open until Thursday, May 2.
 
08.05.2024
15:30 - 16:15
HGS MathComp Mixer
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Networking
Location: Mathematikon • Common Room, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Organizer: HGS MathComp
ECTS: 0
To promote the community spirit within HGS MathComp, we have decided to host a regular get-together for all members (fellows, PIs, ...), the HGS MathComp Mixer. There will be snacks and beverages. The meeting will be informal and is meant for socializing and networking. The mixer will conveniently end at 16:15 when the IWR Colloquium starts in the adjacent conference room.

It would be great to see you at the mixer. Please feel free to share this invitation with other PhD and master students who might be interested.

See you at the HGS MathComp Mixer!

Michael & Rob
 
08.05.2024
16:15
Theory & Methods
Efficient and Robust Coupling Methods for Electro-Mechanical Models of the Human Heart
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IWR Colloquium
Speaker: Prof. Christian Wieners • Institute for Applied and Numerical Mathematics, Karlsruhe Institute of Technology (KIT)
Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Registration: No registration required
Organizer: Interdisciplinary Center for Scientific Computing (IWR)
Link:
ECTS: 1 for 5
The IWR Colloquium serves as a platform for the interdisciplinary dialogue which characterizes the field of scientific computing. Every semester, members of the IWR and its affiliated institutions as well as renowned international experts are invited to present their latest scientific results and discuss the upcoming challenges in the field of scientific computing.

The IWR Colloquium will be held as an in-person event at the Mathematikon. In addition it will be streamed via Zoom. For more information please visit the website of the colloquium.

Computational modeling of the cardiovascular system can help to understand the relevant mechanisms and help to tailor treatments for heart diseases. We introduce a fully coupled PDE system for electrophysiology and cardiac mechanics combined with ODEs of ionic concentrations, the blood pressure in the cardiac chambers and a model for the circulatory system.

The model is realized in the parallel software system M++, and we show that the full model for a heart beat is scaling very well on modern HPC systems.