Institute for Bioengineering of Catalonia (IBEC)Spain
Prof. Raimon Jané Campos is a leading figure in biomedical signal processing at the Universitat Politècnica de Catalunya (UPC) and Universitat de Barcelona (UB). As co-director of UPC's Biomedical Signal and System Group (CREB) and coordinator of the Biomedical Engineering PhD Programme, he bridges engineering and clinical applications. His work focuses on respiratory and sleep disorder diagnostics, with significant contributions to COPD and sleep apnea monitoring through wearable devices and machine learning. PhD in Biomedical Engineering (UPC, 1989) Visiting researcher at Université de Nice-Sophia Antipolis Vice-president of Spanish Society of Biomedical Engineering Research spans respiratory mechanics , sleep-disordered breathing , acoustic biomarkers , bioimpedance , and machine learning in biomedical contexts . His 2025 work on microcalorimetric pathogen classification and 2024 spiking neural networks for apnea detection demonstrate cutting-edge integration of computational methods with physiological monitoring. Articles from 2017-2024 reveal consistent focus on non-invasive diagnostics , cardiorespiratory synchronization , and smartphone-based health solutions . Awarded the Barcelona City Technology Research Award (2005) and serving on the International Advisory Board for Physiological Measurement since 2010, his career combines academic leadership with real-world clinical translation through IBEC's technology transfer initiatives.
Antonio Terrón Barroso is a predoctoral researcher at the University of Barcelona's ADHUC Research Centre (Theory, Gender, Sexuality) and UNESCO Chair on Women, Development, and Cultures. He holds a Postgraduate Certificate in Social Science Research (Aston University), Master's in Teaching (PGCE, King Juan Carlos University), dual Bachelor's degrees in Translation Studies (University of Granada) and Communication (Open University of Catalonia), and a Tourism Diploma (University of Granada). Research Focus: Gender violence discursive normalization in 19th-century peninsular women's press through digital humanities methodologies. Key subfields include national/gender identity construction via literature and cinema, multilingual translation dynamics, and transnational reception studies. Teaching Experience: International roles at University of Birmingham (Spanish Teaching Fellow), Panthéon-Assas University (Spanish Lecturer), Aston University (Spanish/Translation Teaching Assistant), Cardiff University (Spanish Associate Tutor), and University of Massachusetts Amherst (Hispanic Studies Visiting Teaching Associate). Scientific Awards: FPI Predoctoral Researcher Contract (MINECO) Key Collaborations: Working with Dr. Elena Losada Soler and Dr. María Xesús Lama López on the Género, violencia y representación project. Affiliated with the consolidated research group 'Women's Creation and Thought' (2021 SGR 01097).
Helena Roco Taboada is an Interim Lecturer in the Department of Pharmacology, Pharmacy and Pharmaceutical Technology at the University of Santiago de Compostela. She holds a PhD from the same institution for her thesis on 'Quality-by-design approach for the development of lipid-based nanosystems for anti-mycobacterial therapy' (2021), supervised by Dr. Mariana Landín Pérez and Dr. Carmen Remuñán López. She is affiliated with the Faculty of Sciences and is part of the Strategic Grouping in Materials (AEMAT) and the ID-FARMA research group focusing on dosage forms and drug release systems. Her research interests center on pharmaceutical technology, drug delivery systems, and nanomedicine, with a focus on applications in anti-mycobacterial therapy, osteoporosis treatment, and bone regeneration. Her work integrates lipid-based nanosystems, targeted drug delivery, and AI-driven formulation strategies. Recent projects include developing lipid nanoparticles for clofazimine delivery and thermosensitive hydrogels for osteoarthritis management. Her publications span topics like nanoparticle functionalization, cryoprotectant optimization in lyophilization, and AI tools for nanostructured lipid carrier design. She is active in interdisciplinary collaborations within materials science and biomedical engineering.
Piotr Przybyła is a tenure-track Assistant Professor at Universitat Pompeu Fabra in Barcelona, Spain, where he researches in the TALN (Natural Language Processing) Research Group. He maintains a significant affiliation with the Linguistic Engineering Group at the Institute of Computer Science, Polish Academy of Sciences (ICS PAS) in Warsaw, Poland, where he completed his PhD in Computer Science. Previously, he worked as a research fellow at the National Centre for Text Mining (NaCTeM) at the University of Manchester. Przybyła's research focuses primarily on Natural Language Processing with particular emphasis on misinformation detection, adversarial attacks on text classifiers, text simplification, and Polish language processing. His work bridges theoretical NLP with practical applications for credibility assessment and language understanding. He has developed innovative approaches for testing the robustness of text classifiers against adversarial examples and has made significant contributions to Polish language resources and processing tools. His recent publications demonstrate a strong trajectory in examining the robustness of NLP systems, particularly in the context of misinformation detection and credibility assessment. His work spans from foundational research on language model behavior to practical applications in Polish language processing and text simplification. The ERINIA project, funded by a prestigious Marie Skłodowska-Curie Postdoctoral Fellowship, represents a significant contribution to understanding how misinformation detection systems can be made more robust against adversarial attacks. Marie Skłodowska-Curie Postdoctoral Fellowship for the ERINIA project Computing grant of 10,000 hours on the Athena supercomputer for accelerating work in the ERINIA project Przybyła actively contributes to the NLP community through conference organization, shared tasks (such as coordinating the InCrediblAE shared task for CheckThat! 2024), and developing open-source tools like Plainifier for multi-word lexical simplification. His work demonstrates a commitment to both advancing NLP research methodology and addressing practical challenges in misinformation detection and language understanding across multiple languages, with special attention to Polish language processing.
Horacio Saggion is the Chair in Computer Science and Artificial Intelligence at the Department of Information and Communication Technologies, Universitat Pompeu Fabra. He leads the TALN Group and the Large Scale Text Understanding Systems Lab. His research focuses on Computational Linguistics, with specialties in Text Summarization, Information Extraction, and Semantic Analysis. He coordinates the Horizon Europe iDEM project on inclusive democratic spaces and previously led the SignON project for Sign Language Translation. Key technologies include the SUMMA Summarization system and the Dr Inventor Text Mining Library. Education: PhD, MSc, and Licenciatura in Computer Science. Research Interests: Text simplification for accessibility, sign language translation, misinformation detection, and ethical AI applications. His work bridges natural language processing with societal needs such as clear communication in public administration. Grants & Projects: Coordinator of iDEM (Horizon Europe), PI of SignON, Simplext, and Able to Include. Involved in BEA shared tasks and CLEF labs. Active in organizing workshops like TSAR at EMNLP. Labs & Teams: Head of TALN Group and Text Understanding Lab. Collaborations include Universitat Pompeu Fabra's interdisciplinary initiatives and industry partnerships for technology commercialization.
Dr. Silvia Martínez Martínez is a Researcher in the Department of Philology and Translation at the University of Granada, specializing in German Philology with a PhD completed in 2015. Her academic work centers on accessibility in audiovisual translation, particularly subtitling for the deaf and hard of hearing (SpS), and audio description across multilingual contexts. Her research interests include: Audiovisual Translation Accessibility for Deaf and Hard of Hearing Subtitling for the Deaf Translation Technology German-Spanish Translation Audio Description Terminology Analysis of her 15 most recent publications (2022-2025) reveals dominant trends in AI-driven accessibility solutions, cross-linguistic corpus studies (German/Spanish/English), and innovative pedagogical applications. Key thematic clusters include sound translation in streaming/VOD platforms, gamification in STEM education, vitivinicultural terminology, and cultural adaptation in music translation, demonstrating her interdisciplinary approach spanning translation technology, medical accessibility, and sociological studies. She has received the Premio Francisco Ayala (2012) for her contributions to translation studies, recognizing her work on accessibility frameworks and specialized translation methodologies. Dr. Martínez Martínez actively contributes to educational innovation through projects like DESAM (accessible museum resources) and OPERA (cultural accessibility), while her supervision of PhD candidates and development of didactic tools for audio description training underscore her commitment to advancing inclusive translation practices in academic and professional settings.
Maria Mercedes Eurrutia Cavero is a Professor of French Philology at the University of Murcia's Faculty of Arts and Humanities, within the Department of French, Romanesque, Italian, and Arabic Philology. She holds a Doctorate from the University of Murcia (1997), focusing on specialized French linguistics in legal and medical contexts. Her research primarily revolves around lexicology, sociolinguistics, and translation studies, with notable contributions to the study of slang, color terminology, and digital discourse in tourism. Research Interests: Her work examines lexical semantic change, sociocultural implications of language, and practical applications of specialized French. She explores how language reflects social identity (e.g., slang, color symbolism) and bridges cultural gaps through translation, particularly in festivals and gastronomy. Her recent studies address digital communication's impact on tourism lexicons. Publications: Over 15 articles since 1996, including key works on technical discourse contrast, circus lexicology, and online tourism communication. Her 2007 study on color terminology highlights language as a sociocultural artifact, while 2013's work on Internet-based tourism discourse underscores digital lexical evolution. Affiliations: Leader of the 'General and Applied French Linguistics' research group and part of the 'Translation, Lexicology, and Writing' team. She has supervised doctoral research and contributed to UNED's distance-learning French pedagogy programs.
Irene del Canto Serrano is a Researcher in the Department of Electronic Engineering at the School of Engineering, Universitat de València. Her work integrates biomedical engineering with cardiac electrophysiology, focusing on the interaction between mechanical forces and electrical activity in the heart. She is actively involved in two key research groups: GRELCA (Cardiac Electrophysiology group) and i2N (Electronic Instrumentation in Medical and Nuclear Physics), reflecting her dual expertise in physiology and instrumentation. Education: PhD in Biomedical Engineering, Universitat Politècnica de València (2015). Thesis: Estudio de las modificaciones farmacológicas de los efectos electrofisiológicos producidos por el estiramiento local miocárdico a partir de técnicas dinámicas de cartografía eléctrica, en un modelo experimental de corazón aislado de conejo , supervised by Dr. David Moratal Pérez and Dr. Francisco Javier Chorro Gascó. Her research interests center on cardiac electrophysiology , particularly mechanoelectric feedback , myocardial stretch , arrhythmia mechanisms , and pharmacological modulation using experimental models. She also explores cardiac imaging , especially cardiac MRI for strain and deformation analysis, and applies machine learning to improve detection and classification in myocardial infarction. Her recent publications highlight a strong trend toward integrating biomarkers (e.g., ferritin), iron therapy , and cardiac function recovery in heart failure, showing translational relevance. Her 15 most recent publications reflect a consistent focus on experimental cardiology using isolated heart models, pharmacological interventions (ranolazine, GS967, eleclazine), and advanced imaging techniques. She investigates how drugs affect stretch-induced arrhythmias, evaluates MRI-based strain changes post-iron therapy, and develops AI tools for cardiac image analysis. These works span basic science (e.g., CaMKII inhibition) to clinical applications (e.g., Myocardial-IRON trial analysis). Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: While no formal students or grants are listed, her role as a postdoctoral researcher and active publication record suggest involvement in mentoring junior researchers and contributing to funded projects, particularly within the GRELCA and i2N groups. She has co-authored numerous experimental studies, indicating strong collaborative and project-based research activity. Labs and Teams: Irene is affiliated with two prominent research groups at Universitat de València: GRELCA (Cardiac Electrophysiology group) , which studies arrhythmia mechanisms and therapeutic interventions, and i2N (Electronic Instrumentation in Medical and Nuclear Physics) , which develops advanced tools for medical diagnostics. These affiliations underscore her interdisciplinary approach, combining physiology, engineering, and data science.
Lluis Casas Duocastella is a Research Professor in the Department of Geology at Universitat Autònoma de Barcelona (UAB). His research focuses on archaeometry, geological analysis of archaeological materials, and historical geomagnetism. He has led major projects like Arqueomagnetismo y otras técnicas analíticas aplicadas a la valorización del patrimonio arqueológico e histórico (2014-2018) and contributed to studies on Roman Hispania landscapes and Catalan megalithic sites. Education: Ph.D. in Materials Science (UAB, 2003), M.Sc. in Translation/Interpretation (UAB, 2010), B.Sc. in Geology (UAB, 1997) Research interests include provenance analysis of archaeological materials, application of machine learning in material discrimination, and technological characterization of historical artifacts. Recent work emphasizes Roman glass technology and volcanic rock studies in Tunisia and Spain. He collaborates internationally with institutions like the University of Naples and University of Liverpool.
Massimo Cenciarini is a Senior Lecturer in the Department of Mechanical Engineering at the Universitat Politècnica de Catalunya (UPC), affiliated with the School of Industrial Engineering (ETSEIB). He is an active member of the BIOMEC - Biomechanical Engineering Lab, TecSalut - Health Technologies Research Group, and CDEI - Industrial Equipment Design Centre. His work bridges engineering and biomedical applications, focusing on human movement and assistive technologies. Research Interests: Biomechanics and human balance Wearable robotics and exoskeletons System identification and control Assistive mobility technologies Mechatronics and simulation Postural control and motor adaptation His recent publications show a strong trend in wearable robotic devices, particularly knee exoskeletons, with emphasis on human-exoskeleton interaction, misalignment compensation, impedance identification, and gait assistance. His work integrates biomechanical modeling, experimental validation, and translational research for rehabilitation and mobility enhancement. Scientific Awards: 3r Premi UPC al Compromís Social He has participated in competitive R&D projects such as Xartec Salut and technology transfer initiatives, including the development of wearable knee exoskeletons. While no formal students are listed, his collaborative projects suggest mentorship roles within multidisciplinary teams. He is involved in research networks focused on health technologies and Industry 4.0 educational environments. Laboratories and Research Groups: BIOMEC - Biomechanical Engineering Lab (UPC) TecSalut - Health Technologies Research Group CDEI - Centre de Disseny d'Equips Industrials
Pilar Domingo Calap is an Associate Professor at the Universitat de València, affiliated with the Faculty of Biological Sciences and the Department of Genetics. Her research focuses on bacteriophage biology, viral evolution, and combating antibiotic resistance through phage therapy. She has contributed to understanding phage-host interactions, bacterial resistance mechanisms, and innovative applications of phage-based technologies in environmental and biomedical contexts. Recent publications highlight her work on phage depolymerases, capsule-specific targeting strategies, and synergies between phage therapy and nanotechnology. Her research group (EnBiVir) explores bacteriophages' applications in global health, while collaborations with EVOSALUD emphasize experimental evolution and epidemiology. She has developed tools like CleanBar for single-cell omics and DepoScope for enzyme annotation, demonstrating expertise in computational approaches to virology. Her studies span clinical applications (e.g., cystic fibrosis lung rejection, prosthetic joint infections) and environmental interventions (e.g., Salmonella control in broiler farms, Xylella fastidiosa mitigation).
Dr. Anna Maria Mandalari is an Assistant Professor at University College London (UCL), affiliated with the Electronic and Electrical Engineering Department. She serves as Director of the SafeNetIoT laboratory and the Internet Engineering/Telecommunications MSc/MRes Programme at UCL. She holds an Honorary Research Fellow position at the Institute for Security Science and Technology at Imperial College London. Her research focuses on IoT security, privacy engineering, and network measurement techniques, particularly analyzing information exposure from consumer devices and developing adaptive network security strategies. Her work has led to significant contributions such as the IMC'19 Community Contribution Award-winning study on multidimensional IoT device exposure and the Telekom Challenge-winning IoTrim prototype for blocking non-essential IoT traffic. She has secured funding through InnovateUK’s CyberASAP program and participated in high-impact projects like NATwatcher and the European roaming analysis initiative. Key Awards: Community Contribution Award (IMC'19), Best Paper Award (C2B(I)D 2015) Grants: InnovateUK CyberASAP Phase 2 funding, Telekom Challenge Development Stream Top 5 prize Labs/Teams: Director of SafeNetIoT Lab, Leading M2M and IoT security teams at UCL Her recent work addresses IoT device misactivation risks (e.g., smart speakers), scalable detection of IoT devices in the wild, and protocol design informed by crowdsourced data. She actively collaborates with industry partners like Telekom and academic institutions on network infrastructure security and performance optimization.
Rafael Sebastian is a Full Professor at Universitat de Valencia and General Director for Science and Research of the Generalitat Valenciana. He leads the Computational Multiscale Simulation Lab (CoMMLab) and collaborates with institutions like Oxford University and Yale University. Department of Computer Science, Universitat de Valencia CoMMLab Founder Spanish Network of Excellence in Cardiac Modeling His research focuses on multi-scale computational models and artificial intelligence for patient-specific cardiac simulations , aiming to improve arrhythmia risk stratification and therapy planning . Key topics include cardiac conduction system modeling , scar-related ventricular tachycardia , and machine learning pipelines for clinical applications. Recent publications emphasize automata-based simulations for atrial arrhythmias, machine learning in arrhythmia localization, and 3D geometric characterization of aortic diseases. Trends show integration of computational modeling with clinical data and medical imaging . Scientific Awards: Best Poster Award, Functional Imaging and Modeling of the Heart (2021) Cum Laude Award, SPIE Medical Imaging (2009) Student Presentation Award (2011) He has supervised 7 PhD/Master students and led grants exceeding €1 million, including projects like iSARC-GENETICS and iCardioTwins , focusing on digital twin technology and cardiac disease stratification .
Cristina Tejedor Martínez is a Professor at the University of Alcalá , Department of Modern Philology . She serves as First Deputy Director of the Doctoral School and coordinates the Linguistic Analysis Research Group , focusing on lexicology, semantics, and translation terminology. Her research spans Anglicisms in Spanish , corpus pragmatics , applied linguistics , and technological tools in language education , with significant projects funded by the Spanish Ministry of Science and European Commission . She has directed studies on tourism language , medical terminology , and dictionary training in pedagogy. Key projects include PRAGMACOR (2022-2026) (corpus pragmatics in telephone interpretation) and Organic.Lingua (2011-2014) (multilingual web portal for agricultural education). She advises PhD students like Soraya García Esteban and collaborates with researchers across Europe. Her publications (15+ peer-reviewed articles) analyze semantic borrowing , machine translation , color metaphors , and neologisms in specialized domains , reflecting her interdisciplinary approach at the intersection of language, technology, and culture.
Maria Teresa Abad Soriano is affiliated with the Universitat Politècnica de Catalunya (UPC), specifically within the Faculty of Computer Science (FIB), Department of Computer Sciences. She is a researcher in the GPLN - Natural Language Processing Group and the TALP Research Center, contributing to both educational technologies and computational linguistics. Her work spans decades, showing sustained academic engagement. Her research interests focus on educational technology, higher education internationalization, computer-supported collaborative learning, distance learning systems, knowledge representation, and academic mentorship . These are reflected in her long-term involvement in projects related to e-learning platforms, tutoring systems, and institutional development in computing education. The analysis of her recent publications (2019–2024) reveals a strong trend towards the internationalization of higher education in computing, with detailed studies on mobility, academic policies, and institutional impact. Earlier works (1990s–2000s) center on algorithmic education, groupware modeling, and intelligent tutoring systems, showcasing a career that evolved from technical AI and educational software to broader educational policy and management. She has contributed to competitive R&D+i projects such as OPENMT and SKATeR, and has co-authored technical reports, conference papers, and indexed journal articles. Her collaborations include key figures like Nuria Castell, Juan Antonio Pastor, and Maria Felisa Verdejo. Scientific Awards: No scientific awards were mentioned in the provided text. She has supervised or contributed to the Doctoral Program in Business Administration and Management, and her technical and educational outputs suggest an advisory role in research, though specific students are not listed. She has participated in multiple competitive research projects funded under Spain’s National Research Plans, indicating success in grant acquisition. Her work with open datasets and technical documentation supports open science and institutional transparency. She is actively involved in research groups such as GPLN and TALP, which focus on natural language processing and language technologies, contributing to both theoretical and applied advancements in the field.
