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H2020Doctoral network2020–2024

MENELAOS_NT · European Training Network (ETN) on Multimodal Environmental Exploration Systems – Novel Technologies

Horizon 2020 — Marie Skłodowska-Curie Actions

Duration
2020-01-01 → 2024-09-30
EU contribution
€3,616,423
Participants
8
Scheme
MSCA-ITN

Lines connect the coordinator with its partners.

Results in brief

European Training Network (ETN) on Multimodal Environmental Exploration Systems – Novel Technologies

In the context of rapid planetary changes, population growth, industrialization, resource exploitation, natural hazards, and complex systems, MENELAOS_NT addressed the critical issue of scientifically and technologically exploring “the world” on micro- and macroscopic scales. The project aimed to provide deeper insights and information to understand and monitor basic processes and environments, enabling predictions and potential control of critical evolutions. This supported decision-makers with reliable information for sustainable measures. MENELAOS_NT achieved this through interdisciplinary research and training for promising ESRs, supported by a balanced intersectoral consortium. MENELAOS_NT tackled societal challenges, such as sustainable agriculture, forestry, bioeconomy, environmental changes, resource efficiency, and societal security. It applied Novel Technologies (NT) for multimodal, multi-sensor data fusion to optimally combine information from diverse sensors (in-situ/remote, optical/non-optical) at various scales, resolutions, and reliability. Traditional methods were inadequate to meet the tailored information needs of decision-makers. The "Big Data" approach to data acquisition is feasible but leads to exponentially growing datasets. MENELAOS_NT promoted sustainable information generation by moving beyond analogue-to-digital conversion to directly acquiring focused information. This aligns with the novel disciplines of Computational Sensing, including Compressed Sensing (CS) and Compressed Learning (CL), which MENELAOS_NT leveraged to distill information directly at sensing.

Data: CORDIS, © European Union

Project objective

MENELAOS_NT addresses the ever more significant problem of scientifically and technologically sensing and exploring “the world” on micro- and macroscopic scale to provide scientists with deeper insights and better understanding in order to predict and possibly control critical evolutions. This would support decision makers with more sophisticated and reliable information for deciding on sustainable measures. Essentially the project addresses societal key challenges, e.g., sustainable agriculture and forestry, bio-economy, environmental changes, resource efficiency as well as protecting freedom and security of the European society. Covering the complete chain of information generation plays a key role here, and forms a key future market with huge potential, ensuring excellent career perspectives for early stage researchers. The continuously increasing sensitivity and resolution of remote sensing, and the steadily growing range and field of view of short and medium range 2D/3D-sensorics are closing the gap between analyzing unknown scenarios from outside (remote) and from within (in-situ), however, at the cost of increasing data dimensionality and volume (“Big Data”), raising the urgent need of detecting and isolating relevant information from the ubiquitously present noise and disinformation. MENELAOS_NT addresses multi modal – multi sensor fusion to optimally combine the information, delivered by different sensors (in situ/remote, optical/non optical) on different scales, with different resolutions and with different reliability. New and intelligent (Compressive Sensing, Analogue to Information Conversion) approaches will be indispensible for this, hence MENELAOS_NT develops this complex and interdisciplinary field by combining high level scientific research and excellent doctoral training, fostering a new generation of young researchers, familiar with the necessary theoretical framework and at the same time skilful and diverse enough to advance the society.

Original text from CORDIS.

Participants

  • UNIVERSITAET SIEGEN · SiegenCoordinatorGermany
  • FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV · MunchenGermany
  • INGENIERIA INSITU SL · LugoSpain
  • SABANCI UNIVERSITESI · IstanbulTürkiye
  • UNIVERSIDAD DE SANTIAGO DE COMPOSTELA · Santiago De CompostelaSpain
  • UNIVERSIDAD PUBLICA DE NAVARRA · PamplonaSpain
  • UNIVERSITATEA NATIONALA DE STIINTASI TEHNOLOGIE POLITEHNICA BUCURESTI · BUCURESTIRomania
  • WEIZMANN INSTITUTE OF SCIENCE · RehovotIsrael

Links

Data: CORDIS, © European Union