Networks

NETWORKS 2017: Scientific Conference

On 7-9 June  2017 NETWORKS organises the first large conference in the framework of the NETWORKS programme. On 7 and 9 June a scientific conference with 4 parallel tracks, each focusing on a specific aspect of networks. On 8 June a public event is organised.

 

The tracks

The scientific programme consists of four tracks in two parallel sessions. 

 

Wednesday 7 June Friday 9 June
Track 1: Mathematical Physical Aspects of Complex Networks

 

Track 3: Communication networks

 

Track 2: Logistics and Scheduling Track 4: Scheduling under Uncertainty

 

 

Track 1: Mathematical Physical Aspects of Complex Networks

The goal in this track is to view networks from the combined perpective of mathematics and physics. The keynote lecture is given by Maria Angeles Serrano (Universidad de Barcelona); other contributers are Ginestra Bianconi (Queen Mary University of London) and Tiziano Squartini (Universita di Roma "La Sapienza").

 

Ideas from statistical physics have proven to be very efficient in the mathematical analysis of complex networks, while methodologies developed within probability theory turn out to be very fruitful in the analysis of network driven by physics, chemistry and biology. Key examples are spatial networks and community networks. Key targets are dynamics of networks, dynamics on networks and simulation of networks.

 

Track 2: Logistics and Scheduling

Logistics and scheduling are central issues on networks. Four top researchers will discuss some of the important themes. Gerhard Woeginger (Rheinisch-Westfälische Technische Hochschule Aachen) will give the keynote lecture. The other lectures are given by Rolf Möhring (Technische Universität Berlin) and Guido Schaefer (CWI/VU).

 

The track will discuss logistic and scheduling problems and methods from an algorithmic and mathematical point of view, with applications in traffic and transportation.

 

Track 3: Communication Networks

Modern-day communication networks are prominent examples of highly complex 
large-scale networked systems that are of critical importance to society. Because of their vital interest, these networks need to be designed to achieve consistently high levels of performance and reliability, and yet be cost-effective to operate. This involves huge challenges, especially since communication networks are subject to inherent uncertainty and random variation in demand and supply.

 

These topics will be discussed by four very prominent researchers. Peter Glynn (Stanford) will deliver the keynote lecture, while the other lectures are given by Nelly Litvak (University of Twente), Laurent Massoulie (Microsoft Research - INRIA Joint Centre) and Mark Squillante (IBM Thomas J. Watson Research Center).

 

Track 4: Scheduling under uncertainty

The track "Scheduling under Uncertainty" centers on scheduling problems arising in the context of complex networks where uncertainty plays a critical role.  The program features a keynote presentation by a world-renowned expert, Kirk Pruhs (Pittsburgh), along with three invited presentations by prominent researchers in The Netherlands, Guido Schaefer (CWI/VU), Rene Sitters (VU/CWI) and Bert Zwart (CWI/Eindhoven) an on eclectic range of subjects within the overarching theme mentioned above.

 

A central goal of the workshop is to foster the dialogue and promote interaction between researchers in two different mathematically-oriented communities, the stochastic modeling and networking community, and the algorithms and complexity community, around scheduling as a topic of strong common interest.  This ties in with the broader thrust of the NETWORKS project to forge connections at the interface of algorithmic and stochastics.

 

For more information on the scientific conference and the public event visit the NETWORKS 2017 Conference website.

Details
When: Wednesday June 7th, 2017  -  Friday June 9th, 2017
Where: Conference center Sciencepark Sciencepark 125 1098 XG Amsterdam
Location

conference_center 

Conference center Sciencepark

Sciencepark 125

1098 XG Amsterdam