Herewith, we invite you to the 101st meeting of the GOR working group “Real World Mathematical Optimization” in the Physikzentrum Bad Honnef (Hauptstr. 5, 53604 Bad Honnef, http://www.pbh.de). This meeting is hold as a symposium with the topic
Mathematical Optimization meets Machine Learning and Artificial Intelligence
The workshop takes place on November 22 & 23, 2018 on Thursday and Friday.
The working language will be preferably English, since some speakers or participants are expected from abroad.
Aim of the workshop
This two-day event attempts to give an overview of the current state-of-the-art of the interplay of techniques from Mathematical Optimization, Machine Learning and Artificial Intelligence in theory and practice. Because of the many applications fields we expect a broad spectrum of talks and fruitful discussions that penetrate the use of these methods in real world applications and stimulate further research directions.
Please contact one of the organizers if you are interested in presenting at this workshop.
In talks, either 15+5 min, 25+5 min or 40+5 min by choice, experts from practice, research institutions or software companies, will present selected problems and the corresponding solutions.
Experts from universities, research institutions, industry and software companies are welcome to present selected problems and available solutions.
Note that the participation in a GOR-AG-Workshop for non-members is subject to a registration fee, unless you are a speaker or a host. Except for students, the Physics Center collects an infrastructure fee of 30 Euro/person.
Please register yourself online using https://www.redseat.de/pmo101/ as soon as possible, but ideally not later than October 26th, 2018. The latest information on the meeting is available on the homepage of the GOR
Presentations from the following speakers have been confirmed:
- Prof. Dr. Marco Lübbecke (RWTH Aachen, Aachen): Introductory talk tba
- Dr. Hergen Schulze (BASF SE, Ludwigshafen): tba
- Oliver Bastert (FICO, München): Optimizing Machine Learning
- Sebastian Hilgert (Deutsche Bahn, Frankfurt): tba
- Dr. Torben Barth (Fraport AG, Frankfurt): Applied analytics at Frankfurt Airport
- Prof. Dr. Andreas Thümmel (QuaRisMa GmbH, siasys GmbH, Hochschule Darmstadt): Model Based Machine Learning in Quality Management
- Prof. Dr. Kevin Tierney (Bielefeld University, Bielefeld): tba