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LNMB/NGB Seminar 2019

Back to school, learn about the latest developments in Operations Research

Jointly organized by the Landelijk Netwerk Mathematische Besliskunde (LNMB)
and the Nederlands Genootschap Besliskunde (NGB)

Conference Center  “De Werelt”, in Lunteren, on January 16, 2019.

Topic 2019: Deep Learning and its impact on Operations Research

The Dutch Network on the Mathematics of Operations Research (LNMB, www.lnmb.nl) and the Dutch OR Society (NGB, https://www.ngb-online.nl/) are organizing their yearly seminar day under the working title "Deep Learning and its impact on Operations Research". Deep Learning is booming in academia as well as business. It often works on the same problems as Operations Research.

  • What are similarities and differences of these techniques?
  • What can Operations Researchers learn from deep learning?
  • How can traditional Operations Research approaches be complemented with or improved by elements from deep learning or can Operations Research approaches be applied to deep learning?

We aim for a program that covers different aspects of linking Deep Learning with Operations Research; from a vision on the future to the current state of research, and from a tutorial to real life applications.

The list of speaker includes:

  • Eric Postma (Tilburg, University, Jheronimus Academy of Data Science): Tutorial on Deep learning
  • Max Welling (University of Amsterdam): Learning to Plan, the Future of OR?
  • Werner van Westering: Alliander: How to predict the impact of the energy transition on the electricity network using simulations, data science and machine learning?
  • Eline Werkman (ORTEC): Advanced modelling techniques applied on a Revenue Management solution for a holiday park provider
  • Johan van Rooij (CQM): Safe and efficient inspection of railway tracks using deep learning models (Winner Hendrik Lorentz Prize for innovative applications of Data Science)
  • Marco Lübbecke (RWTH Aachen University): (How) does Machine Learning impact Operations Research?
More information on the invited speakers and the programme will follow in the next weeks.

The conference language is English. Registration is possible via the Seminar On-line Registration Form. The conference fee is 100 Euro for LNMB and NGB members, and 150 Euro for others. The conference fee covers lunch, coffee, tea, and the drinks. 

 

Wednesday January 16, 2019, 10.00-17.00
NGB/LNMB Seminar "Back to school, learn about the latest developments in Operations Research"
Topic: Deep Learning and its impact on Operations Research
Program
09.30 - 10.00 Registration and coffee
10.00 - 10.10 Opening by the chairpersons Marjan van den Akker (Utrecht University) and Jacob Jan Paulus (CQM)
10.10 - 12.30 Deep Learning
10.10 - 11.10
The true AI revolution
Speaker: Eric Postma (Tilburg, JADS)
Abstract of the Presentation
11.10 - 11.30
Coffee/tea
11.30 - 12.30
Learning to solve OR problems
Speaker: Max Welling (Universteit van Amsterdam)
Abstract of the Presentation
12.30 - 14.00 Lunch
14.00 - 15.15 Applying AI in OR (3 cases)
14.00 - 14.25
How to predict the impact of the energy transition on the electricity network using simulations, data science and machine learning?
Speaker: Werner van Westering (Alliander)
Abstract of the Presentation
14.25 - 14.50
Advanced modelling techniques applied on a Revenue Management solution for a holiday park provider
Speaker: Eline Werkman (ORTEC)
Abstract of the Presentation
14.50 - 15.15
Safe and efficient inspection of railway tracks using deep learning models
Speaker: Johan van Rooij (CQM, Winners Dutch Data Science price)
Abstract of the Presentation
15.15 - 15.45 Coffee/tea
15.45 - 16.30 (How) does Machine Learning impact Operations Research?
Speaker: Marco Lübbecke (RWTH Aachen)
Abstract of the Presentation
16.30 - 16.35 Closing
16.35 - 17.30 Drinks
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The seminar is the 18th annual seminar, following the previous successful seminars:

  • E-Commerce & Operations Research (2001)
  • Capacity Management - How Operations Research models support decision makers (2002)
  • New developments in Operations Research software (2003)
  • On-line methods: Challenges for OR in a real-time world (2004)
  • Mathematical Models for Financial Optimization (2005)
  • Operations Research and Health Care (2006)
  • Operations Research and Public Transportation (2007)
  • Operations Research and Energy (2008)
  • Operations Research and Traffic (2009)
  • Operations Research and Health Care (2010)
  • Operations Research in Supply Chain Management and Marketing (2011)
  • Operations Research in Supply Chain Management and Humanitarian Aid (2012)
  • Back to school: Robust Optimization and Mixed Integer Nonlinear Programming (2013)
  • Back to school: Constraint Programming and Multi Objective Optimisation (2014)
  • Back to school: Operations Research in a Big Data age(2015)
  • Back to school: Developments and applications of Operations Research in the area of Networks (2016)
  • Back to school: Developments and applications in the area of Game Theory (2017)
  • Back to school: Is Data Science a game changer for Operations Research? (2018)