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Created page with ""==EU Project short name::DSSC== ===EU Project full name::Data Science and Systems Complexity Research Training Programme=== '''Full project details (EU Research results portal):''' CORDIS URL::https://cordis.europa.eu/project/id/754315 === '''Project description:''' === Today’s world is a highly complex system that is producing massive amounts of data daily. We can only progress towards urgent global priorities such as sustainable energy, personalized hea..."
 
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"==[[EU Project short name::DSSC]]==
==[[EU Project short name::DSSC]]==
===[[EU Project full name::Data Science and Systems Complexity Research Training Programme]]===
===[[EU Project full name::Data Science and Systems Complexity Research Training Programme]]===
'''Full project details (EU Research results portal):''' [[CORDIS URL::https://cordis.europa.eu/project/id/754315]]
'''Full project details (EU Research results portal):''' [[CORDIS URL::https://cordis.europa.eu/project/id/754315]]
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'''EU Programme:'''
'''EU Programme:'''
[[Programme::Horizon 2020]]"
[[Programme::Horizon 2020]]
 
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'''Project publications:'''
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Latest revision as of 13:04, 8 May 2026

DSSC

Data Science and Systems Complexity Research Training Programme

Full project details (EU Research results portal): https://cordis.europa.eu/project/id/754315

Project description:

Today’s world is a highly complex system that is producing massive amounts of data daily. We can only progress towards urgent global priorities such as sustainable energy, personalized healthcare or the development of the data-driven economy if we can predict the dynamic nature of such a system. This challenge calls for an integrated approach that uses data to understand the behaviour of complex systems, and for experts who can handle data and complexity problems for society at large. The DSSC Centre at the University of Groningen responds to this demand with a doctoral programme that offers Big Data and Systems Complexity training to ten early stage researchers. To combat the current fragmentation of data and complexity research along disciplinary lines, the DSSC Programme has an interdisciplinary format based on the premise that complex systems generate big data, and big data help identify, control and analyse complex systems. The DSSC mission is to enable students to become experts who provide effective data & complexity solutions for European strategic fields: energy, healthcare, safety and cybersecurity, smart industry, space and advanced instrumentation. As an interdisciplinary training programme it will prepare students to master modelling, computational and analysis methodologies from mathematics, statistics, computer science, engineering, and to manage Big Data in disciplines such as astronomy, physics, bioinformatics. It will develop the students’ intersectoral and international mobility through entrepreneurial training, internships and collaborative projects with major local and European stakeholders. The DSSC provides an optimum training environment: access to first-rate research facilities and experienced supervisors in a top 100 university where more than 50% of the PhD population comes from abroad. In the future, the Programme endeavours to foster an international collaborative research network that will address data and complexity challenges.

EuroVoc IDs: /natural sciences/computer and information sciences/artificial intelligence

EU Programme: Horizon 2020

EU Project

Project publications:

EU ProjectHas TitleHas CategoryHas TypeHas YearHas DOI
DSSCRecursive Algorithm for the Control of Output Remnant of Preisach Hysteresis OperatorData Science, Analytics, and Data ProcessingPeer reviewed articles2021https://doi.org/10.1109/lcsys.2020.3009423
DSSCAsymptotic Stability Analysis of Lur e Systems with Butterfly Hysteresis NonlinearitiesData Science, Analytics, and Data ProcessingPeer reviewed articles2019https://doi.org/10.1109/lcsys.2019.2921850
DSSCDECORAS: Detection and characterization of radio-astronomical sources using deep learningData Science, Analytics, and Data ProcessingPeer reviewed articles2022https://doi.org/10.1093/mnras/stab3519
DSSCMulti-loop Hysteresis and Recursive Remnant ControlData Science, Analytics, and Data ProcessingThesis and dissertations2022https://doi.org/10.33612/diss.215199709
DSSCOnline learning of data-driven controllers for unknown switched linear systemsData Science, Analytics, and Data ProcessingPeer reviewed articles2022https://doi.org/10.1016/j.automatica.2022.110519
DSSCDetecting straggler MapReduce tasks in big data processing infrastructure by neural networkData Science, Analytics, and Data ProcessingPeer reviewed articles2020https://doi.org/10.1007/s11227-019-03136-6
DSSCHigh pixel number deformable mirror concept utilizing piezoelectric hysteresis for stable shape configurationsData Science, Analytics, and Data ProcessingPeer reviewed articles2021https://doi.org/10.1117/1.jatis.7.2.029002
DSSCOptimal Feature Search for Vigilance Estimation Using Deep Reinforcement LearningData Science, Analytics, and Data ProcessingPeer reviewed articles2020https://doi.org/10.3390/electronics9010142
DSSCDeep learning in high angular-resolution radio interferometryData Science, Analytics, and Data ProcessingThesis and dissertations2022https://doi.org/10.33612/diss.222496441
DSSCResource Management in a Peer to Peer Cloud Network for IoTData Science, Analytics, and Data ProcessingPeer reviewed articles2020https://doi.org/10.1007/s11277-020-07691-7
DSSCArgumentation-Based Online Incremental LearningData Science, Analytics, and Data ProcessingPeer reviewed articles2022https://doi.org/10.1109/tase.2021.3120837
DSSCSDR-NNP: Sharpened Dimensionality Reduction with Neural NetworksData Science, Analytics, and Data ProcessingConference proceedings2022https://doi.org/10.5220/0010820900003124
DSSCA machine learning based approach to gravitational lens identification with the International LOFAR TelescopeData Science, Analytics, and Data ProcessingPeer reviewed articles2022https://doi.org/10.1093/mnras/stac2078
DSSCLocal-HDP: Interactive open-ended 3D object category recognition in real-time robotic scenariosData Science, Analytics, and Data ProcessingPeer reviewed articles2022https://doi.org/10.1016/j.robot.2021.103911
DSSCA Scalable Feature Selection and Opinion Miner Using Whale Optimization AlgorithmData Science, Analytics, and Data ProcessingConference proceedings2020https://doi.org/10.1007/978-981-15-4828-4 20
DSSCOn data-driven stabilization of systems with nonlinearities satisfying quadratic constraintsData Science, Analytics, and Data ProcessingPeer reviewed articles2022https://doi.org/10.1016/j.sysconle.2022.105206
DSSCData-driven linear quadratic regulation via semidefinite programmingData Science, Analytics, and Data ProcessingPeer reviewed articles2020https://doi.org/10.1016/j.ifacol.2020.12.2264
DSSCData-driven stabilization and safe control of nonlinear systemsData Science, Analytics, and Data ProcessingThesis and dissertations2023https://doi.org/10.33612/diss.273310133
DSSCSwift distance transformed belief propagation using a novel dynamic label pruning methodData Science, Analytics, and Data ProcessingPeer reviewed articles2020https://doi.org/10.1049/iet-ipr.2019.1035
DSSCPower Curtailment in Cloud Environment Utilising Load Balancing Machine AllocationData Science, Analytics, and Data ProcessingConference proceedings2018https://doi.org/10.1109/smartworld.2018.00237
DSSCHandling unforeseen failures using argumentation-based learningData Science, Analytics, and Data ProcessingConference proceedings2019https://doi.org/10.1109/coase.2019.8843207
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