1st position at the NEOM AI Challenge
Development of Deep Learning powered pipeline for anomaly detection in human gait from smartphone sensors data.
Investigation of encoding strategies for Wireless Sensor Network data to prolong information persistence in the context of battery-powered devices.
Cross-department collaboration for Deep Learning application to Flames simulations.