Responsible for the planning and/or development of projects with pressure sensors, software development and robotics. (Portugal 2020, HfPT - Health from Portugal)1) Project aimed to implement a device for monitoring and addressing postural imbalances to prevent work related musculoskeletal diseases.2) Implementing validation project of ROSE (robotic system that performs remote ultrasonography).3) Envolved in 3+ projects that combine balance platforms, physical rehabilitation, advanced technologies and/or gamification.• Project management: -Managing and planning project activities. Risk management. Technical documentation (minutes/reports/deliverables). Establishing and maintaining relationships with stakeholders and the project team. Providing periodic feedback on the project status. Participation in dissemination activities•Project development in collaboration with a project development team: -Defined technical requirements and specifications. Sensor selection, calibration and integration. Implemented IOT connectivity by integrating wireless comunication protocols. Software development for sensor data acquisition, analysis and visualization in real time (C# development for desktop apps)•Events-1st International Congress of Therapeutic Exercise for Variability in Longevity (20/05/2023, Oliveira de Azeméins)-2nd WHO Symposium on the Future of Health Systems in a Digital Era in the European Region (5 and 6 of Sept. 2023, Porto) -2nd Physiotherapy Days (30/11/2023, Tocha)-Biomedical Engineering Days in ISEC (15/05/2024, Coimbra) - Lecturer-III International Symposium on Innovation, Technologies and Health Games (05/06/2024) - Lecturer-Conference Innovating Health Together (Health Cluster Portugal) (14 and 15 Sept. of 2024, Porto) - Lecturer-FisioExpo (27,28,29 of Sept. of 2024, Madrid)-Coimbra Invest Summit (11/10/2024, Coimbra)

Master Thesis entitled "Hemodynamic Monitoring from SpO2 measurements", this thesis was a collaboration between the University of Coimbra and Philips Research (Eindhoven, Netherlands).This project investigates if the hemodynamic state of a patient can be determined from signals measured by two pulse oximeters placed on different body locations via sophisticated data-driven signal processing techniques, and targets the study on the performance of pulse oximetry measurements (Matlab).

Internship developed in the department of Patient Care and Monitoring in Eindhoven, Netherlands (under Erasmus). During the first part of my internship my tasks included a literature study of state-of-the-art (cardiovascular system, hemodynamics and pulse oximetry), creating a straightforward model for simulating biosignals (PPG, ABP and ECG), developing, testing and verification of an algorithm that perfomed feature extraction to those signals. During the second part of my internship, my tasks included signal processing and analysis of clinical data (ABP, PPG), documentation and report. I had biweekly meetings with my supervisors to present and interpretate results.