Markus Kruber, M.Sc.

Research interests:

Interplay between machine learning and discrete optimization

Projects:

Since 2015 and in cooperation with Ford we are developing decision support software for the "Automatic Ship Plan Generation for Deep Sea" project.
In 2017, internship at CERMICS, Paris. Topic: "Resource constrained shortest path algorithm for EDF short-term thermal production planning problem" supported by EDF

Teaching:

WS2017/18 Operations Research 1
SS2018/19 Praktische Optimierung mit Modellierungssprachen

Further interests:

Data Science and coding competitions (kaggle, code jam)

Where we could have met:

ISMP2018, Bordeaux
AI | IA Conference on Artificial Intelligence & (strategic) InterAction, Heerlen
OR2017, Berlin
CPAIOR 2017, Padova
Winter School on Optimization and Operations Research, Zinal
Data Science meets Optimization, Aachen
OR2015, Wien
OR2014, Aachen

Other profiles on the web:

ORCID

Publications

Kruber, M., Lübbecke, M. and Parmentier, A.
Learning When to Use a Decomposition. In Salvagnin, D. and Lombardi, M., Integration of AI and OR Techniques in Constraint Programming, pages 202—210, May 2017. Springer. Lecture Notes in Computer Science, vol 10335.

Talks

ISMP (23rd International Symposium on Mathematical Programming), Bordeaux, France, July 1-6, 2018.

title: Learning how to decompose von M. Kruber

PGMO days at EDF, Paris, France, November 14, 2017.

title: Resource constrained shortest path algorithm for EDF short-term thermal production planning problem von M. Kruber

AI | IA Conference on Artificial Intelligence & (strategic) InterAction, Heerlen, Netherlands, November 2, 2017.

participation von M. Kruber

OR2017, Berlin, Germany, September 6, 2017.

invite: Learning how to decompose von M. Kruber

CPAIOR, Padova, Italy, June 6, 2017.

invite: Learning how to decompose von M. Kruber

IMA and OR Society Conference on Mathematics of Operational Research, Aston University, Birmingham, United Kingdom, April 20, 2017.

title: Learning how to decompose von M. Kruber

Ecole des Ponts Paristech, Paris, France, March 28, 2017.

invite: Resource constrained shortest path algorithm for EDF short-term thermal production planning problem von M. Kruber

Winter School on Optimization and Operations Research, Zinal, Switzerland, January 14, 2017.

participation von M. Kruber

Data Science meets Optimization, Aachen, Germany, April 4 - 5, 2016.

participation von M. Kruber

Operations Research (OR) 2015, Vienna, Austria, September 1--4, 2015.

invite: Optimal Rescheduling in Automotive Industry von M. Kruber

OR2014, Aachen, Germany, 2-5 September, 2014.

participation von M. Kruber