7 citations · 7 across the 8 of their papers we have counts for
9 papers
Dot-Flik: A Scalable Edge AI Architecture for Distributed Insect Monitoring
Mattia Consani, Denisa-Andreea Constantinescu, Åse Håtveit +4
Global insect population declines necessitate scalable, continuous monitoring systems, yet existing vision-based solutions remain constrained by high hardware costs, energy demands…
GridPilot: Real-Time Grid-Responsive Control for AI Supercomputers
Denisa-Andreea Constantinescu, David Atienza
At global scale, data-center electricity demand is growing faster than the grids that supply it, while system operators increasingly require large flexible loads that can adjust po…
astroCAMP: A Community Benchmark and Co-Design Framework for Sustainable SKA-Scale Radio Imaging
Denisa-Andreea Constantinescu, Rubén Rodríguez Álvarez, Jacques Morin +7
The Square Kilometre Array (SKA) will operate one of the world's largest continuous scientific data systems, sustaining petascale imaging under strict power envelopes. Current radi…
AquaCast: Urban Water Dynamics Forecasting with Precipitation-Informed Multi-Input Transformer
Golnoosh Abdollahinejad, Saleh Baghersalimi, Denisa-Andreea Constantinescu +2
This work addresses the challenge of forecasting urban water dynamics by developing a multi-input, multi-output deep learning model that incorporates both endogenous variables (e.g…
CEO-DC: Driving Decarbonization in HPC Data Centers with Actionable Insights
Rubén Rodríguez Álvarez, Denisa-Andreea Constantinescu, Miguel Peón-Quirós +1
The rapid growth of data centers is increasing energy demand and widening the carbon gap in the ICT sector, as fossil fuels still dominate global energy production. Addressing this…
FADE: Forecasting for Anomaly Detection on ECG
Paula Ruiz-Barroso, Francisco M. Castro, José Miranda +3
Cardiovascular diseases, a leading cause of noncommunicable disease-related deaths, require early and accurate detection to improve patient outcomes. Taking advantage of advances i…
Enabling Efficient Wearables: An Analysis of Low-Power Microcontrollers for Biomedical Applications
Dimitrios Samakovlis, Stefano Albini, Rubén Rodríguez Álvarez +4
Breakthroughs in ultra-low-power chip technology are transforming biomedical wearables, making it possible to monitor patients in real time with devices operating on mere μW. Altho…
Cough-E: A multimodal, privacy-preserving cough detection algorithm for the edge
Stefano Albini, Lara Orlandic, Jonathan Dan +4
Continuous cough monitors can greatly aid doctors in home monitoring and treatment of respiratory diseases. Although many algorithms have been proposed, they still face limitations…
BiomedBench: A benchmark suite of TinyML biomedical applications for low-power wearables
Dimitrios Samakovlis, Stefano Albini, Rubén Rodríguez Álvarez +4
The design of low-power wearables for the biomedical domain has received a lot of attention in recent decades, as technological advances in chip manufacturing have allowed real-tim…