Joe Carthy

Nationality: Irish
Institution: Universidad de Granada
Country: Spain
Research Title: Automatic Detection and Classification of Relevant Events from Ground Displacement Monitoring Devices

PROJECT SUMMARY

The objective of this project is to develop an automatic real time system to analyse the data acquired by different types of sensors. This will involve mining ground displacement data from multiple sensors over broad frequency ranges to identify meaningful signals. Assessments of the overlapping regions between different complementary sensors will take place and there will be an assessment on the possibility to continuously cover certain frequency ranges through the use of broad-band sensors and GPS receivers in cooperation with other ESRs.
This project will require the application of machine learning and signal processing techniques in order to successfully identify trends in the volcanic signal data, and to find overlapping regions between complementary sensors.

Scientific Background

I graduated from University College Dublin with a Masters in Electronic and Computer Engineering in 2021. My Masters thesis was in the area of quantum computing and involved analysing the Variational Quantum Eigensolver algorithm in order to understand the important aspects that allow for it to perform successfully.
As a student and graduate I gained experience through internships with different institutions in the areas of adiabatic computing (University of Notre Dame), hardware acceleration and digital design (Intel Movidius), quantum computing and machine learning (Equals1 Labs).
I am now excited to start work in the area of volcanology and to apply the skills that I have developed so far and to learn new skills as I undertake this project!