I received a PhD (with Excellent mark) in Computer Science and Data Science from the University of Molise (Italy) in April 2021 advised by Prof. Rocco Oliveto, defending a thesis entitled “Innovative Information Systems to Monitor Biomedical Parameters during High Demanding Tasks”. I also received (magna cum laude) a Master’s Degree in Electronic Engineering for Automation and Telecommunications from the University of Sannio (Italy) in 2017 advised by Prof. Massimiliano di Penta, defending a thesis in Software Engineering entitled “Boundary Value Detection in the validation of Car crash messages”. Regarding my acadamic background, I finally received a Bachelor’s Degree in Computer Science Engineering from the University of Sannio in 2013 advised by Prof. Luca De Vito, defending a thesis entitled “Acoustic system for measuring the speed of vehicular traffic integrated on road barrier”. For what concerns my work experience, for around two years (January 2016 - October 2017), I worked as Software Testing and Quality Assurance Engineer c/o Octo Telematics in Rome (Italy). After, I beacme a professor of “Electronic Systems” at the “E. Mattei“ Industrial High School in Milan (Italy) and then “Computer Science” Professor in two Industrial High Schools in Caserta (Italy). I am currently an IT specialist c/o INPS and a Post Doctoral Researcher at the Department of Biosciences and Territory of University of Molise. My research interests include Health Informatics, Biometrics in Software Engineering, Machine Learning and Signal Processing. I am the recipient of a best paper award at the proceedings of HEALTHINF 2020 for presenting MORPHYTHM, an approach for the automatic detection of Atrial Fibrillation episodes. I serve as a reviewer for the journal Expert Systems with applications (Elsevier), Measurement (Elsevier), Frontiers in Cardiovascular Medicine, Physiological Measurement (IOP science) and for the IEEE I2MTC and USBEREIT conferences.