Joan Oró is a researcher at the Blanquerna Department of Physical Activity and Sport Sciences and Sports Management within the Faculty of Psychology, Educational Sciences and Sports at Blanquerna - Ramon Llull University. His work focuses on speech synthesis, voice quality analysis, and environmental noise mapping, with a particular emphasis on computational modeling and acoustic sensor networks. Research Interests: Speech signal processing, finite element modeling of phonation, environmental noise monitoring, and machine learning applications in acoustic analysis. Projects: Key contributions to the DYNAMAP initiative for real-time road traffic noise mapping and the FEMVoQ project for 3D voice quality simulation. Publications: Recent work explores vocal tract-glottal source interactions, spectro-temporal noise analysis, and intelligent clustering architectures, spanning interdisciplinary applications in acoustics, signal processing, and urban planning.
Marc Freixes Guerreiro is a Researcher at La Salle School of Engineering, Department of Engineering, part of La Salle - Universitat Ramon Llull in Barcelona, Spain. His work focuses on interdisciplinary research at the intersection of acoustics, human-environment interaction, and biomedical engineering. He actively participates in multiple research projects investigating soundscape perception, vocal tract modeling, and human comfort in built environments. His research interests span a diverse range of fields including Acoustics , Soundscape , Vocal Tract Modeling , Urban Environment , Sensor Networks , and Citizen Science . His work combines computational modeling with practical applications in both urban settings and biomedical contexts. He has particular expertise in analyzing vocal phenomena, from animal vocalizations for welfare monitoring to human phonation mechanics for speech synthesis and clinical applications. Analysis of his recent publications reveals a strong interdisciplinary trend, connecting engineering principles with applications in healthcare, urban planning, and cultural heritage. His work demonstrates expertise in both theoretical modeling (such as finite element analysis of vocal folds) and practical implementation (like sensor networks for environmental monitoring). The research spans from fundamental acoustics to applied projects addressing real-world challenges in animal welfare, medical diagnostics, and urban comfort. Marc Freixes Guerreiro leads and participates in multiple significant research projects including the BeNeXT project for Turner syndrome diagnostics, DISTRESIA for stress biomarker identification in educational contexts, Sons dels Monestirs for sacred space acoustics in Catalan monasteries, and Inhabiting Gaudí for comfort assessment in Gaudí's architectural masterpieces. His collaborative work demonstrates strong connections across engineering, medical, and humanities disciplines. His laboratory work focuses on the Human-Environment Research group within the Department of Engineering, where he develops and applies acoustic measurement techniques, computational models, and sensor network solutions. His research teams typically include interdisciplinary collaborators from engineering, medical, and humanities backgrounds, reflecting the cross-cutting nature of his research interests.
Violeta Monasterio Bazán is a Professor at the Faculty of Health Sciences, University of Zaragoza, where she serves as Coordinator of the Biomedical Engineering degree. She concurrently holds the position of Vice-Dean of Internationalization at the School of Architecture and Technology. Her academic foundation includes a Telecommunications Engineering degree and PhD in Biomedical Engineering, both earned at the University of Zaragoza. Educational background: Telecommunications Engineering, University of Zaragoza PhD in Biomedical Engineering, University of Zaragoza Her research program integrates computational methodologies with biomedical applications, specializing in electrical modeling of cardiac cells and advanced processing of biomedical signals. This interdisciplinary work bridges engineering principles with physiological systems analysis, creating synergies between computational biology, cardiac electrophysiology, and medical diagnostics development. Her teaching portfolio includes foundational courses in Networks and Communications, Programming, and Intelligent Systems across Computer Science and Bioinformatics programs. Dr. Monasterio Bazán has secured participation in multiple national and international research projects, complemented by significant research residencies at MIT's Laboratory for Computational Physiology and Oxford University's Institute of Biomedical Engineering. As degree coordinator, she directs academic strategy and curriculum development for Biomedical Engineering while advancing international collaborations through her vice-dean responsibilities.
Juan Antonio Sáez Pérez serves as Professor at the Faculty of Health Sciences, teaching Anatomy I, MEIF IV (Cardiovascular System), and Final Degree Projects in Physiotherapy, alongside Anatomy I/II courses in Medicine and the Master's in Health Sciences Research. His educational background includes: Doctorate in Health Sciences Degree in Physiotherapy Degree in Nursing His research concentrates on personalized cardiorespiratory physiotherapy for chronic patients, focusing on treatment personalization, adherence strategies, valid clinical assessment tools, and patient empowerment to optimize long-term therapeutic outcomes through active disease management. Recent publications analyze bronchiectasis through heart rate recovery metrics during exercise testing and computerized respiratory sound diagnostics, advancing clinical assessment protocols for chronic respiratory rehabilitation. He participates in funded research projects and presents at national (SEPAR) and international (ERS) conferences. Previously serving as Physiotherapy degree coordinator (2016-2022), he currently supervises Final Degree Projects while developing empowerment-focused therapeutic frameworks.
José Aurelio Santana Almeida is a Full Professor at the University of Las Palmas de Gran Canaria, affiliated with the Department of Signals and Communications and the Institute of Cybernetics, Enterprise and Society. His research spans telecommunications engineering with specializations in signal processing, wireless networks, and image analysis. Primary research interests include: Energy-efficient wireless networks for smart city infrastructure Medical and satellite image processing algorithms Ubiquitous sensor communications and IoT systems Telecommunications systems optimization Recent publications (2014-2019) demonstrate a strong focus on WiFi optimization, mesh networks, and sensor communications for urban environments, while earlier work (2003-2004) established foundations in medical image processing including MRI analysis and nonrigid registration techniques. Professor Santana has supervised 14 bachelor/master's theses projects, primarily focused on: Medical image processing and visualization Wireless sensor platforms Satellite image correction and analysis Network infrastructure development
Ane Alberdi Aramendi is a Researcher at Mondragon University's Faculty of Engineering within the Department of Mechanics and Industrial Production, actively contributing to the DANZ Data Analysis and Cybersecurity research group. Her work bridges biomedical applications with industrial engineering systems. Her academic foundation includes: PhD from Mondragon University (2017) for thesis: Early diagnosis of disorders based on behavioural shifts and biomedical signals , supervised by Dr. Asier Aztiria Goenaga, Dr. Adrian Basarab, and Dr. Urko Zurutuza Ortega Dr. Alberdi Aramendi's research integrates engineering principles with healthcare innovation, focusing on real-time diagnostic systems through behavioral pattern recognition and physiological signal analysis. Her methodology combines embedded hardware solutions with intelligent data processing frameworks for industrial-scale medical applications. Her core research domains include: Biomedical signal acquisition and interpretation Embedded system deployment in clinical environments Machine learning for behavioral shift detection Cybersecurity frameworks for medical IoT devices Industrial implementation of diagnostic algorithms Human-machine interaction in healthcare settings She operates within Mondragon University's DANZ research ecosystem, which emphasizes collaborative industry-academia partnerships for technology transfer in data-intensive engineering fields.
