A unifying algorithmic framework for structured optimization
From 01-01-2018 to 31-12-2021
Description
The explosive growth of computational power alongside the immense proliferation of devices have enabled solving once unforeseeable problems. At the same time, the Internet of Things is extraordinarily complex, involving huge amounts of data and interconnections of billions of smart devices. In this landscape, the thirst for novel theories is more than ever topical: to manage large-scale cyberphysical systems such as smart cities, it is integral to attack the problems cast by coordinating many computers via harvesting their enormous computational power. Optimization is the key to materialize this vision, being ubiquitous in all areas of engineering: embedded control, signal processing, data mining, machine learning, wireless networks and transportation. The deluge of modern optimization will lie in the ability to reliably and speedily solve huge-scale problems by distributing the computational burden to devices in charge of solving small problems in nanoseconds, using minimal power consumption and cross-device communication.
The aim of this project is to contribute in solidifying structured optimization as the linear algebra of the 21st century by developing a unifying algorithmic framework for a wide class of problems. We seek to design and implement algorithms with superior convergence rates and accuracy leveraging ongoing theoretical advancements by our research team for expanding traditional methods to address some of the biggest challenges of the information era.
Team
- Panagiotis Patrinos, Promoter
Financing
Funding: FWO - Research Foundation - Flanders
Program/Grant Type: FWO Project - FWO Research Project
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.