Embocon 2 - Embedded Optimization for Resource Constrained Platforms
From 15-01-2010 to 14-01-2012
Description
There is enormous economic potential for the application of embedded optimizationtechnologies in embedded systems design. Recent advances in the performance of embeddedhardware platforms, in combination with fundamental improvements in optimization theory andalgorithms, have opened the door to widespread applications over the next decade. Embeddedoptimization will enable huge energy and resource savings, increased safety, and improvedfault detection across a wide a range of industrial applications in the mechatronic,automotive, process control and aerospace sectors. In order to realize the full potentialof optimization in embedded systems, their design must also be supported by a focussed setof tools enabling the rapid transfer of novel high-performance algorithms to practicalapplications.The EMBOCON consortium will enable widespread application of real-time optimization inembedded systems through:: Tailoring of customized numerical algorithms to increase their robustness andefficiency on embedded systems: Enabling real-time optimization on cheap industry-standard hardware platforms: Defining a common user interface for optimization technologies to facilitatetechnology transfer to industry, and: Performing challenging case studies in cooperation with industrial partners todemonstrate technological maturity.The EMBOCON consortium will strengthen a network of world-leading academic and industrialpartners with complementary expertise in control, optimization and embedded systems in arange of industrial applications. Particular emphasis is placed on close collaborationbetween mathematical algorithm developers, control theorists, hardware specialists andindustrial application engineers. The network will consolidate and extend Europe's positionas the world research leader in these areas and foster strong collaborative links betweenEuropean academia and industry.
Team
- Moritz Diehl, Co-promoter
- Jan Swevers, Co-promoter (External)
- Paul James Goulart, Promoter (External)
Financing
Funding: EU Funding - European Funding
Program/Grant Type: EU Other - Other
Events
2/09/2024:
PhD defense - Martijn Oldenhof
Machine Learning for Advanced Chemical Analysis and Structure Recognition in Drug Discovery
3/09/2024:
Meet the Jury Igor Tetko on Advanced Machine Learning in Drug Discovery
12/09/2024:
Multimodal analysis of cell-free DNA for sensitive cancer detection in low-coverage and low-sample settings
Seminar by Antoine Passemiers
News
STADIUS Alumni Herman Verrelst – new CEO of Biocartis
08 June 2017
Herman Verrelst, the founder of KU Leuven spin-off Cartagenia, who has been working in Silicon Valley, US for the last few years will be returning to Belgium to follow the steps of Rudi Pauwels as CEO of the Belgian diagnostic company, Biocartis.
Supporting healthcare policymaking via machine learning – batteries included!
29 May 2017
STADIUS takes the lead in the data analytics efforts in an ambitious European Project MIDAS.
Marc Claesen gives an interview about his PhD for the magazine of the Faculty of Engineering Sciences "Geniaal"
10 February 2017
Did you know that in Belgium approximately one third of type 2 diabetes patients are unaware of their condition?
Joos Vandewalle is nieuwe voorzitter KVAB
09 October 2016
Op 5 oktober 2016 heeft de Algemene Vergadering van de Academie KVAB Joos Vandewalle verkozen tot voorzitter van de KVAB.