[Opt-Net] Conference "MOG2026: Mathematics of Networks with Physical Transport", 20-21 May 2026 in Nuremberg

[Kevin-Martin Aigner]

We are pleased to announce the fifth edition of the international conference

“MOG2026: Mathematics of Networks with Physical Transport”

on May 20–21, 2026, in Nuremberg, Germany.

This two-day conference will bring together experts in applied 
mathematics to discuss the latest developments in mathematical modeling, 
simulation, and optimization in networks involving physical transport. 
We aim to foster stimulating discussions between academic researchers 
and industry professionals on current challenges in energy systems, 
logistics, transportation, and related fields.

In addition, all participants are invited to contribute to the 
conference by presenting their work at the poster session. There will be 
a best poster award.

For more information and registration (by March 31, 2026), please visit: 
https://www.trr154.fau.de/mog2026/

Invited speakers:
- Wim van Ackooij (EDF R&D)
- Daniela Bernhard (FAU Erlangen-Nürnberg)
- Raul Borsche (RPTU)
- Lorenz Biegler (CMU Pittsburgh)
- Christoph Buchheim (TU Dortmund)
- Line Roald (University of Wisconsin-Madison)
- Lavinia Ghilardi (Politecnico Milano)
- Svenja Griesbach (RWTH Aachen)
- Tobias Harks (Universität Passau)
- Nicole Marheineke (Universität Trier)
- Nicola De Nitti (Università di Pisa)
- Nora Philippi (PSI Software)
- Andreas Rupp (Universität des Saarlandes)
- Robert Schwarz (Doing the Math)
- Martin Stoll (TU Chemnitz)

The conference is organized by the German Collaborative Research Center 
TRR 154 (Mathematical Modeling, Simulation, and Optimization using the 
Example of Gas Networks), funded by the German Research Foundation 
(DFG). For more details, please visit: https://www.trr154.fau.de/trr-154-en/

Nuremberg, a vibrant city with a rich history and culture, provides an 
inspiring setting for scientific exchange. Located in the heart of 
Bavaria, it combines a picturesque old town with modern infrastructure 
and is easily accessible by train and air.