Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Denmark
- Cranfield University
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft)
- DAAD
- Linköping University
- University of Southern Denmark
- CNRS
- Fraunhofer-Gesellschaft
- RWTH Aachen University
- Roma Tre University
- Aristotle University of Thessaloniki
- Chalmers University of Technology
- Forschungszentrum Jülich
- GFZ Helmholtz Centre for Geosciences
- KU LEUVEN
- Leibniz
- Lulea University of Technology
- Technical University Of Denmark
- Umeå University
- University of Luxembourg
- Uppsala universitet
- ;
- ; Swansea University
- ; University of Sheffield
- ; University of Southampton
- Ariel University
- Arts et Métiers Institute of Technology (ENSAM)
- Curtin University
- Delft University of Technology
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
- Forschungsinstitut für Nutztierbiologie (FBN)
- Ghent University
- Heraeus Covantics
- ISCTE - Instituto Universitário de Lisboa
- Ludwig-Maximilians-Universität München •
- Lunds universitet
- Monash University
- Stockholms universitet
- Technical University of Denmark;
- UNIVERSIDAD POLITECNICA DE MADRID
- University of Bremen •
- University of Exeter;
- University of Lund
- University of Newcastle
- University of Nottingham
- University of Potsdam •
- University of Stuttgart
- University of Trento
- University of Twente
- Universität Düsseldorf
- Université de Bordeaux - Laboratoire IMS
- Vrije Universiteit Brussel
- Wageningen University and Research Center
- 45 more »
- « less
-
Field
-
the Internet of Things (IoT), where networked sensors and actuators enable real-time adaptation to environmental changes. Consider a self-adaptive IoT network such as a smart home that autonomously manages
-
and adapted tools for the processing of signals or images acquired with biomedical sensor networks (cardiology, neurosciences) or in geosciences (seismology and marine ecology), but also in wireless
-
Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
-
of CMOS compatible transition metals in thin-film synthesis, gearing towards GHz SAW excitation Sensoric study of the acousto-NEMS for harsh environments Study of the acousto-NEMS in quantum regime You will
-
neuromorphic ultra-low-power active sensor readout and processing at the edge. The chip design will enable online learning capabilities, aiming at modulating the spatio-temporal filtering properties with
-
, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
-
heterogeneous and opportunistic sensor networks. Therefore, such an approach may significantly improve rainfall and runoff predictions. Research goals: Our primary goal is to improve the accuracy and prediction
-
-Brain inspired Neuromorphic Nanophotonics (InsectNeuroNano). The long-term vision of this project is a novel on-chip hybrid nanostructure platform for energy-efficient, fast artificial neural networks and
-
obtained from multi-sensor networks across urban areas. A novel synergy approach will be developed that combines observations of thermal stratification from microwave radiometers, profiles of wind and
-
of Higher Education and Research (MESR). PINNACLE: Physics-Informed Neural Networks for Accelerated Cloud Light-Scattering Emulation Artificial intelligence is profoundly transforming atmospheric