Workshop on Parallel Computing in Operations Research

Location and Time

German House, 871 United Nations Plaza, New York, NY 10017, USA
(1st Ave between 48 and 49th Street), March 7, 2024, 12:30pm – 5pm

Motivation and scope

An increasingly important stream of Operations Research (OR) is dedicated to solving computationally intensive problems with parallel algorithms across a wide range of scientific challenges (e.g., NP-hard optimization problems, simulations, data-driven parameterization of algorithms) and application domains (e.g., transportation, traffic, logistics, manufacturing, finance, marketing, energy, health, and social networks, among others). Although parallel computing in OR has a long tradition, it has recently gained momentum and is predicted to continue to do so due to technological advances and innovations such as high-performance computing, GPGPU, quantum computing, and emerging fields based on interfaces with neighboring fields such as data analytics and machine learning.

A variety of scientific (sub)areas of OR and related fields address issues of parallel computing in OR. They are implicitly covered by many journals, conferences and workshops, special interest groups, and (academic, industrial, academic-industrial) projects. However, there are only a few forums that are specifically dedicated to parallel algorithms in OR as their primary focus.

The workshop will focus on the design, implementation, and computational evaluation of parallel algorithms for solving computationally intensive OR problems. Of particular interest are topics related to parallel optimization, high-performance computing, simulation, quantum computing, and the interplay between data science/machine learning and OR.

Addresses and goals

The workshop aims to bring together researchers and practitioners to exchange and develop ideas, share knowledge and experiences, and discuss open problems in parallel computing in OR. It is intended to initiate and foster collaborations and to support community building. For example, it may lead to joint projects, future workshops and conference tracks, joint publications of research papers, research visits, and the establishment of special interest groups in research communities.

Format

  • Short presentations (pitches) only
  • Informal atmosphere with time for discussion
  • No papers or proceedings

Registration

  • Registration required; attendance is free of charge.
  • For more information or to RSVP, please send an email to Guido Schryen (guido.schryen@upb.de) or one of the other organizers.

Organizers

Prof. Dr. Guido Schryen
Management Information Systems and Operations Research, Paderborn University, Germany
guido.schryen@upb.de, http://www.misor.org

Prof. Dr. Kevin Tierney
Decision and Operation Technologies, Bielefeld University, Germany
kevin.tierney@uni-bielefeld.de, http://www.tierney.de

Prof. Madjid Tavana, Ph.D.
Business Systems & Analytics Department, La Salle University, USA
tavana@lasalle.edu, https://www.lasalle.edu/business/faculty/madjid-tavana-ph-d/

In cooperation with Campus OWL New York, Dr. Katja Simons, Executive Director

Campus OWL is a network of five higher education institutions in OstWestfalenLippe (OWL), Germany – Bielefeld University, Paderborn University, Hochschule Bielefeld – University of Applied Sciences and Arts, OWL University of Applied Sciences and Arts, and Detmold University of Music with a liaison office in the German House in New York. https://www.campus-owl.org

Sitzung der GOR-AG „Game Theory & Behavioral Management Science“

Dear colleagues,

We kindly invite you to the fourth working group meeting taking place 13th to 14th of February 2024 at the Fraunhofer Center for Maritime Logistics and Services, Blohmstraße 32, 21079 Hamburg.

The workshop is planned to start Tuesday after lunch and to end Wednesday afternoon. The working group aims at fostering collaboration and state-of-the-art research at the interface of behavioral management science and behavioral & game theory. Targeted research fields include management, economics, computer science, mathematics and other related fields considering game-theoretical approaches. The relevant methodology incorporates cooperative and non-cooperative game theory as well as experiments and field studies.

Registration: To register, please use the form at t1p.de/ke1yi by 15th of December 2023. 

Call for Papers: If you would like to present your work, please submit the title and the abstract along with the registration. 

Fee: There is no participation fee for GOR members, speakers (incl. lightning talks), and members of the hosting institutions. All other participants will be charged 100 € which is equivalent to the annual membership fee of the GOR. Please indicate in your registration if you are a GOR member.

Further information and a detailed schedule will follow at the beginning of January.

Kind regards, Timo Heinrich & Christina Strobel

Doktorandenkurs: Advanced Topics in Mathematical Programming

The course is aimed at doctoral students in the field of business administration or related subjects which seek to deepen their understanding of mathematical programming methods in modeling and optimization. Successful participants will be able to:

  • analyze structural elements of common optimization models for problems in research and business practice
  • understand important theoretical aspects that drive successful implementations for complex optimization problems
  • employ advanced mathematical programming techniques to strengthen model formulations and improve solution performance
  • develop mathematical decomposition approaches to tackle large-scale optimization problems

Date: 6.2.2024 – 9.2.2024

Location:
Hamburg University
Raum 0005.1 in der
Moorweidenstrasse 18
20148 Hamburg

Lecturer:
Prof. Dr. Malte Fliedner (Universität Hamburg)
https://www.bwl.uni-hamburg.de/om/team/malte-fliedner.html
malte.fliedner@uni-hamburg.de

Dr. Arne Schulz (Universität Hamburg)
https://www.bwl.uni-hamburg.de/om/team/arne-schulz.html
arne.schulz@uni-hamburg.de

Registration:

Click for information on fees, payment and registration,
or email us: prodok@vhbonline.org.

Registration Deadline: 7. Januar 2024