PBL team won Best Paper Award at ACM ENSYSS 2023 for Innovative IoT Research
Silvano Cortesi, Marco Giordano, and Michele Magno from the D-ITET Center for Project-Based Learning (PBL) received the Best Paper Award at the 11th ACM International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems (ENSYSS) in conjunction with ACM Sensys 2023. Their outstanding paper was entitled "Energy-Aware Adaptive Sampling for Self-Sustainability in Resource-Constrained IoT Devices". Congratulations!
The collaborative effort, conducted in partnership with Hilti, explores innovative approaches to energy-efficient adaptive sampling, contributing significantly to the advancement of self-sustainable IoT devices. To delve deeper into their groundbreaking work, explore the external pageACM ENSYSS 2023 programme.