Research Profile
Efficient stream processing at the edge is critical for realizing a sustainable society. For example, intelligent camera systems monitor real time traffic with the objective to guide traffic flows thereby reducing traffic jams and pollution. Other systems in for example smart homes (building automation), health (vital signs monitoring), industry (predictive maintenance, quality control), agriculture (weather forecasting), leisure (crowd management) produce, often with regular intervals, large streams of data that need to be processed in real time. Sometimes processing in the cloud is feasible, but more often stringent timing and privacy constraints require processing of the data inside the edge devices. To deliver the required capabilities and the economic promise, research in novel design methods and architectures for efficient stream processing is critical.
Meet some of our Researchers
Recent Publications
Our most recent peer reviewed publications
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Thermal Imaging for Respiration Monitoring in Sleeping Positions
(2024) -
QMTS
(2023) -
Speckle Vibrometry for Instantaneous Heart Rate Monitoring
Sensors (2023) -
Aircraft Marshaling Signals Dataset of FMCW Radar and Event-Based Camera for Sensor Fusion
(2023) -
PetaOps/W edge-AI µProcessors: Myth or reality?
(2023)
Contact
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Visiting address
Groene Loper 19Flux, room 4.1325612 AP EindhovenNetherlands -
Visiting address
Groene Loper 19Flux, room 4.1325612 AP EindhovenNetherlands -
Postal address
P.O. Box 513Department of Electrical Engineering5600 MB EindhovenNetherlands -
Postal address
P.O. Box 513Department of Electrical Engineering5600 MB EindhovenNetherlands -
Teamleads.stuijk@ tue.nl