Mrs. Ainhoa Osa Sanchez, EVIDA Research Group, University of Deusto, Spain
Ainhoa Osa Sánchez is a dedicated researcher specializing in sensors for biological applications. Born on April 11, 1999, she completed her degree in Industrial Electronics and Automation Engineering from the University of Deusto in 2021 and earned a Master’s degree in Industry 4.0 from the International University of La Rioja in 2022. Since 2022, she has been an active member of the eVIDA group, where she initially joined as a researcher in 2020.During her academic and professional journey, Ainhoa has collaborated in various capacities, including internships and research positions, focusing on advanced technological solutions. Her master’s thesis revolved around telemonitoring vital signs at home for the elderly, utilizing IoT and 3D design with a serverless architecture for data storage and visualization via Amazon Web Services.Currently, Ainhoa is pursuing her doctorate at the University of Deusto. Her research is centered on using portable EEG and NIR sensor signals for pain detection case studies, incorporating artificial intelligence models. This work has significant implications for elderly care, chronic pain, and fibromyalgia. She is also engaged in a collaborative project with the University of Louisville and Alamein International University to develop a neural network aimed at identifying the degree of macular degeneration through image analysis.
Professional Profile:
GOOGLE SCHOLAR
Education
Degree: Master’s Degree in Industry 4.0
University / Country: International University of La Rioja
Year: 2022
Degree: Degree in Industrial Electronics and Automatic Engineering
University / Country: University of Deusto
Year: 2021
Skills and Abilities:
- Advanced understanding of computing, IoT, and artificial intelligence
- Ability to use data structures to improve programming results
- Excellent knowledge of several programming languages, including Java, C, and Python
- Very good knowledge of big data and cybersecurity
- Experience using and analyzing data from wearable biomedical devices such as EEG, fNIRS, and EMG
Relevant Accomplishments
C.1. Most Important Publications in National or International Peer-Reviewed Journals, Books, and Conferences
Scientific Papers:
- Ainhoa Osa-Sanchez, Oscar Jossa-Bastidas, Amaia Mendez-Zorrilla, Ibon Oleagordia-Ruiz, Begonya Garcia-Zapirain. 2023. “Design of intelligent monitoring of loneliness in the elderly using a serverless architecture with real-time communication API.” Technology and Health Care, IOS Press. 31-6, pp. 2401-2409.
- Jossa-Bastidas, Oscar, Osa Sanchez, Ainhoa, Bravo-Lamas, Leire, Garcia-Zapirain, Begonya. 2023. “IoT System for Gluten Prediction in Flour Samples Using NIRS Technology, Deep and Machine Learning Techniques.” Electronics, 12-8. ISSN 2079-9292.
Publication top Notes:
IoT system for gluten prediction in flour samples using nirs technology, Deep and Machine Learning Techniques
CITED : 1
Design and implementation of food quality system using a Serverless Architecture: case study of gluten intolerance
CITED : 1
Gluten Analysis Composition Using Nir Spectroscopy and Artificial Intelligence Techniques
CITED : 1
Design of intelligent monitoring of loneliness in the elderly using a serverless architecture with real-time communication API