Miguel Matey Sanz

I completed my bachelor's degree in Computer Science specialized in software engineering at Universitat Jaume I in 2019. In the meantime, I was also participating in the "Estudia i Investiga" program, which allowed me to join the GEOTEC research group and get started with the research world. I completed my training studying a master in Intelligent Systems in the same university.

In 2020, I started my PhD in Computer Science focused in human activity recognition using smart devices and its applications to the health domain. My other research interests are the machine learning and the indoor positioning.

Education

• November 2020 - Present

  PhD in Computer Science

  GEOTEC Research Group, Institute of New Imaging Technologies, Universitat Jaume I

• September 2019 - September 2020

  Master's degree in Intelligent Systems

  Universitat Jaume I, Castellón de la Plana, Spain

  Average grade: 9.8

• September 2015 - June 2019

  Bachelor's degree in Computer Science

  Universitat Jaume I, Castellón de la Plana, Spain

  Average grade: 9.35

Experience

• September 2023 - Present

  SyMptOMS-JIT: Just-in-Time Sensor-based mHealth Development Framework applied to In Vivo Exposure in Anxiety Disorders

  Researcher at GEOTEC Research Group, Institute of New Imaging Technologies, Universitat Jaume I

  R+D national coordinated project (subproject PID2022-140475OB-C22) whose aim is to extend the previously developed framework for JIT interventions with a set of applications (e.g., configurable mobile application, management tool for therapists, visualization tool) and to validate them in a randomized controlled trial (RCT).

• September 2021 - August 2023

  Sensors and Mobile based Mental Health Solutions: Exposure Therapy

  Researcher at GEOTEC Research Group, Institute of New Imaging Technologies, Universitat Jaume I

  R+D national project (PID2020-120250RB-I00) whose aim was to explore develop an application to support the psychological assessment and intervention of agoraphobia patients using geolocation, geofencing and periodical questionnaires.

• January 2019 - December 2020

  Sensors and Mobile based Mental Health Solutions

  Researcher at GEOTEC Research Group, Institute of New Imaging Technologies, Universitat Jaume I

  R+D national project (RTI2018-099939-B-I00) whose aim was to explore how the capabilities of the smartphones and other devices can be employed for the development of new psychological assessment and intervention methods.

• January 2019 - April 2019

  Collaboration grant

  Developer at GEOTEC Research Group, Institute of New Imaging Technologies, Universitat Jaume I

  Development of a catalogue Android application for the library of the university, enabling users to search and find their desired books.

• October 2018 - December 2018

  Anytime Project

  Developer at GEOTEC Research Group, Institute of New Imaging Technologies, Universitat Jaume I

  The Anytime (Apps To Improve Mental Health) project consisted in the exploration of the gamification and the geolocation to support psychological treatments.

• April 2018 - June 2018

  Research grant

  Developer at GEOTEC Research Group, Institute of New Imaging Technologies, Universitat Jaume I

  Integration of advanced machine learning techniques for an indoor positioning system based on Wi-Fi and Bluetooth technologies.

• September 2017 - December 2017

  ILDUM Project

  Developer at GEOTEC Research Group, Institute of New Imaging Technologies, Universitat Jaume I

  The ILDUM (Indoor Location Demonstrator in the University Campus) project consisted on the development of an Android application for indoor positioning and navigation in the library of the university.

Research

• Implementing and evaluating the Timed Up and Go test automation using smartphones and smartwatches JCR2023 Q1 - IF 6.7

  Miguel Matey-Sanz, Alberto González-Pérez, Sven Casteleyn, Carlos Granell

  IEEE Journal of Biomedical and Health Informatics, 2024

• Towards a self-applied, mobile-based geolocated exposure therapy software for anxiety disorders: SyMptOMS-ET app JCR2023 Q2 - IF 2.9

  Alberto González-Pérez, Laura Díaz-Sanahuja, Miguel Matey-Sanz, Jorge Osma, Carlos Granell, Juana Bretón-López, Sven Casteleyn

  Digital Health, 2024

• Analysis and impact of training set size in cross-subject human activity recognition CORE C

  Miguel Matey-Sanz, Joaquín Torres-Sospedra, Alberto González-Pérez, Sven Casteleyn, Carlos Granell

  Iberoamerican Congress on Pattern Recognition, CIARP 2023

• Dataset of inertial measurements of smartphones and smartwatches for human activity recognition JCR2022 Q3 - IF 1.2

  Miguel Matey-Sanz, Sven Casteleyn, Carlos Granell

  Data in Brief, 2023

• Temporal stability on human activity recognition based on Wi-Fi CSI CORE C

  Miguel Matey-Sanz, Joaquín Torres-Sospedra, Adriano Moreira

  International Conference on Indoor Positioning and Indoor Navigation, IPIN 2023

• AwarNS: A framework for developing context-aware reactive mobile applications for health and mental health JCR2023 Q2 - IF 4

  Alberto González-Pérez, Miguel Matey-Sanz, Carlos Granell, Laura Díaz-Sanahuja, Juana Bretón-López, Sven Casteleyn

  Journal of Biomedical Informatics, 2023

• Instrumented timed up and go test using inertial sensors from consumer wearable devices CORE B

  Miguel Matey-Sanz, Alberto González-Pérez, Sven Casteleyn, Carlos Granell

  International Conference on Artificial Intelligence in Medicine, AIME 2022

• Using mobile devices as scientific measurement instruments: reliable android task scheduling JCR2022 Q2 - IF 4.3

  Alberto González-Pérez, Miguel Matey-Sanz, Carlos Granell, Sven Casteleyn

  Pervasive and Mobile Computing, 2022

• A comprehensive and reproducible comparison of clustering and optimization rules in wi-fi fingerprinting JCR2022 Q1 - IF 7.9

  Joaquín Torres-Sospedra, Philipp Richter, Adriano Moreira, Germán M Mendoza-Silva, Elena Simona Lohan, Sergio Trilles, Miguel Matey-Sanz, Joaquín Huerta

  IEEE Transactions on Mobile Computing, 2020

• Exploiting different combinations of complementary sensor’s data for fingerprint-based indoor positioning in industrial environments CORE C

  Joaquín Torres-Sospedra, Adriano Moreira, Germán M Mendoza-Silva, Maria João Nicolau, Miguel Matey-Sanz, Ivo Silva, Joaquín Huerta, Cristiano Pendão

  International Conference on Indoor Positioning and Indoor Navigation, IPIN 2019

• BLE RSS measurements dataset for research on accurate indoor positioning SJR2019 Q2 - IF 2.6

  Germán Martín Mendoza-Silva, Miguel Matey-Sanz, Joaquín Torres-Sospedra, Joaquín Huerta

  MDPI Data, 2019

Skills

Awards

• Local winner of Datathon Cajamar UniversityHack 2021
• Outstanding Master´s Student Award, given by the Universitat Jaume I. Academic year 2019/20
• Award for Academic Excellence, given by the Generalitat Valenciana. Academic year 2018/19
• Outstanding Graduate Achievement Award, given by the Universitat Jaume I. Academic year 2018/19
• Universitat Jaume I Diploma of Academic Achievement. Academic year 2018/19
• Award for Academic Excellence to fourth-year degree students, given by the Universitat Jaume I. Academic year 2018/19
• Award for Academic Excellence to third-year degree students, given by the Universitat Jaume I. Academic year 2017/18
• Award for Academic Excellence to second-year degree students, given by the Universitat Jaume I. Academic year 2016/17
• Award for Academic Excellence to first-year degree students, given by the Universitat Jaume I. Academic year 2015/16