Find Academic Supervisors

• Multisolid dynamics
• Dynamic optimization
• Movement simulation
• +5 more

Gil Serrancoli Masferrer is an Associate Professor in the Department of Mechanical Engineering at the School of Engineering of East Barcelona (EEBE), part of the Polytechnic University of Catalonia (UPC). He is affiliated with the InSup - Research Group in Surface Interaction in Bioengineering and Materials Science and the LAM - Multimedia Applications and ICT Laboratory. His work focuses on biomechanics, computational modeling, and telerehabilitation systems development for clinical applications. Dr. Serrancoli's research spans multisolid dynamics, dynamic optimization, movement simulation, and telerehabilitation systems. His expertise lies in applying computational techniques to solve complex problems in orthopedics, gait analysis, and rehabilitation engineering. His work bridges mechanical engineering with biomedical applications, particularly in musculoskeletal modeling and simulation of orthopedic procedures. He has developed novel computational frameworks for estimating internal musculoskeletal loading and muscle adaptation in various conditions, including hypogravity environments. His recent publications demonstrate a strong focus on in-silico modeling of orthopedic procedures, particularly knee osteotomies (proximal fibular osteotomy versus high tibial osteotomy), with detailed analysis of joint pressure redistribution. He has also pioneered the application of machine learning techniques, particularly recurrent neural networks, to biomechanical problems including cycling biomechanics and running dynamics prediction. His work consistently integrates computational efficiency with clinical relevance. Technical Award - OpenSim+ Advanced Workshop March 2024 Accésit del XLV Congreso de la Sociedad Ibérica de Biomecánica y Biomateriales European Society of Biomechanics Travel Award OpenSim Virtual Workshop - Technical Award OpenSim Visiting Scholar 2017 Enginyers BCN 2018 Dr. Serrancoli leads several competitive R&D projects including 'Muvity: a novel physical telerehabilitation system' for vulnerable populations and 'Simulaciones predictivas in silico para cirugías ortopédicas' (Predictive in-silico simulations for orthopedic surgeries). He collaborates extensively with researchers across Europe, particularly with Jordi Torner, Josep Maria Font Llagunes, and Joan Carles Monllau, and has secured funding from national and regional programs including Plan Estatal de Investigación Científica y Técnica y de Innovación. He is actively involved in the BIOMEC - Biomechanical Engineering Lab and the TecSalut - Research Group in Health Technologies, where he contributes to the development of innovative solutions for healthcare challenges, particularly in the areas of telerehabilitation and computational biomechanics for orthopedic applications.

• Translation Studies
• Reception Studies
• Comparative Literature
• +3 more

Bruno Echauri Galván serves as Associate Professor in the Department of Modern Philology at the University of Alcalá (UAH), Spain, teaching core translation courses including Introduction to Translation Theory and English-Spanish Translation across multiple degree programs in Alcalá de Henares and Guadalajara. His research centers on Translation Studies and Reception Theory, with significant contributions to intersemiotic translation (particularly in children's literature), healthcare interpreting, and film adaptation reception. As an active member of the Research Group on Interdisciplinary Reception Studies, he investigates cultural reception, literary reception, and translation through frameworks including cultural mediation, censorship studies, and myth reception. Recent publications (2021-2024) demonstrate consistent innovation in translation pedagogy, including color-based translation assessment tools, service-learning translation projects, and pandemic-era teaching adaptations. His work on collaborative writing projects, mental health communication, and Carver-Lish translation controversies reveals methodological diversity across literary, audiovisual, and healthcare domains. Dr. Echauri Galván has participated in multiple research initiatives including the JOB AND MOVE student network project (2018), Homopoly strategic partnership (2016), and InterMed healthcare mediation project (2011), where he contributed expertise in intercultural communication and translation standards. He maintains active research leadership through the Interdisciplinary Reception Studies group, examining reception phenomena across cultural, literary, musical, and translational contexts while addressing contemporary issues like censorship and myth criticism.

• Nursing
• Primary Health Care
• Nursing Education
• +4 more

Maria Rosa Rifà Ros is a Lecturer in the Department of Nursing and Physiotherapy at the Blanquerna School of Health Sciences, Universitat Ramon Llull. She is an active researcher with 52 publications spanning from 1993 to 2025 and maintains an h-index of 5 with 46 citations. Her research expertise centers on nursing education, primary health care, nursing diagnosis, and immigrant health. Dr. Rifà Ros employs diverse methodologies including cross-sectional studies, qualitative approaches, and systematic reviews to investigate nursing student experiences, pandemic impacts on healthcare education, and health disparities among vulnerable populations. Her fingerprint analysis shows strong focus areas in Nursing Diagnosis (100%), Immigrant Health (94%), and Nursing Student experiences (68%). Recent publications reveal a consistent trajectory examining healthcare inequalities, clinical education environments, and pandemic-related transformations in healthcare delivery. Her work spans both Spanish and international contexts with particular attention to vulnerable populations and healthcare system responses to emerging challenges. Dr. Rifà Ros has been actively involved in the Global Research on Wellbeing (GRoW) project as a researcher from 2017-2021 and continues in this role from 2022-2025, funded by the Agència de Gestió d'Ajuts Universitaris i de Recerca (AGAUR). This sustained research commitment demonstrates her dedication to advancing knowledge in health and wellbeing. She has mentored numerous nursing students and collaborated extensively with colleagues including Carrillo Alvarez, Rodríguez Monforte, Salinas Roca, and Costa Tutusaus on research examining healthcare systems, student experiences, and health inequalities. As a key member of the Global Research on Wellbeing group, Dr. Rifà Ros collaborates with an interdisciplinary team across various health science disciplines, contributing her nursing expertise to address complex health challenges through research that directly impacts clinical practice and healthcare education.

Karina GibertView profile

Professor

• Data Science
• Artificial Intelligence
• Ethics in AI
• +7 more

Karina Gibert is a Full Professor at Universitat Politècnica de Catalunya (UPC), specifically at the Faculty of Computer Science of Barcelona (FIB) in the Department of Statistics and Operations Research. With a permanent teaching position since 1990, she contributes to research and education with a focus on Data Science, Artificial Intelligence, Explainable AI, and Ethics in AI. Full Professor, UPC (since 1990) PhD in Informatics Engineering Postgraduate in Higher Education Teaching Director and co-founder of IDEAI research center Dean of the Official Professional College on Informatics Engineering of Catalonia Active in bridging the gender gap in STEAM through multiple initiatives Her research focuses on extracting strategic knowledge from data and intelligent systems with ethical and explainable perspectives. She has led various projects including Diet4You for personalized diets, INSESS-COVID19 for social vulnerability analysis, Top Rosies Talent for female AI development, and ciutadanIA for AI culture promotion. Her work spans health, environment, sustainability, tourism, and social technology applications. As an editor of Environmental Modeling and Software journal and active academic, she contributes to international conferences, working groups, and research collaborations. Her service includes membership on various ethics and AI strategy committees and advisory boards. Women Tech Award 2023 National Informatics Engineering Award in Digital Dissemination 2022 Ada Byron Award 2022 Honorific Mention of Creu Casas award 2021 donaTIC 2018 Award Finalist at AMETIC Awards 2021 Finalist of European Social Services Awards 2021

Claudia Patricia Ayala MartinezView profile

Lecturer

• Empirical Software Engineering
• Off-The-Shelf Adoption
• Requirements Engineering
• +4 more

Claudia Patricia Ayala Martinez serves as a Lecturer in the Department of Service and Information Systems Engineering at the Barcelona School of Informatics (FIB), Polytechnic University of Catalonia (UPC). She is actively involved in research through the GESSI - Group of Software and Service Engineering and the UPC inSSIDE - integrated Software, Services, Information and Data Engineering research groups. Her career spans over two decades of academic contributions in software engineering with consistent publication output. Dr. Ayala Martinez's research focuses on Empirical Software Engineering, Off-The-Shelf Adoption, Requirements Engineering, and Software and Architectural Quality. Her work demonstrates an evolution from traditional software engineering topics toward increasing integration with machine learning and AI systems. Recent publications show particular emphasis on software quality indicators, ML pipeline design principles, trustworthiness of ML models, and green computing in software systems. Analyzing her publication trends reveals a consistent research trajectory with growing focus on AI/ML integration in software engineering. Her work spans empirical studies, systematic literature reviews, and practical industrial applications. The research shows strong connections between software quality metrics, architectural decisions, and emerging technologies, with increasing attention to ethical considerations in ML systems and sustainability in software development. Most-Influential Paper Award at the 30th IEEE International Requirements Engineering Conference Dr. Ayala Martinez has participated in numerous competitive R&D projects including those funded by the Spanish National Research Plan, Horizon 2020, and the Catalan Innovation Strategy. Her collaborative network includes extensive work with Professor Javier Franch Gutierrez (69 joint publications), Silverio Juan Martinez Fernandez (26 joint publications), and Cristina Gomez Seoane (20 joint publications). Her research has been supported by various national and European funding programs focusing on software engineering, quality assessment, and open source adoption. She is actively involved with the GESSI and inSSIDE research groups at UPC, which focus on integrated software, services, information, and data engineering. These groups maintain strong industry connections and have produced significant research in empirical software engineering, reference architectures, and quality assessment methodologies. Her recent work shows increasing collaboration with researchers working at the intersection of software engineering and artificial intelligence.

Pere-Pau VázquezView profile

Assistant Professor

• Information Visualization
• Scientific Visualization
• Medical Data Visualization
• +6 more

Pere-Pau Vázquez is an Assistant Professor in AI for Visual Computing at the Computer Vision Lab, TU Wien, Austria . Previously, he held academic positions at the ViRVIG Group and Facultat d'Informàtica de Barcelona (UPC) , where he taught courses in Programming, Computer Graphics, and Visualization for over 20 years. His research focuses on Information Visualization, Scientific Visualization, Medical Data Visualization, Molecular Visualization, and AI applications to Visual Computing . Current Teaching : Data Visualization, Fast Realistic Rendering, Information Visualization, Medical Images, Scientific Visualization, Virtual Reality, and 3D Medical Visualization. Former PhD Students : Elena Molina, Alexandra Cortez, Jesús Díaz, Pedro Hermosilla, Eva Monclús. His scientific awards include the Best PhD Thesis Award (UPC, 2003), Best Student Paper Award (SPIE, 2012), and Best Paper Award (International Conference on Computer Graphics Theory and Applications, 2013). Recent publications explore AI integration in biomedical visualization, molecular data analysis, and interactive techniques for volume rendering. He serves on the EuroGraphics Executive Board as Secretary and is active in steering committees for EuroVis and Visual Computing for Biology and Medicine . His work bridges Computer Graphics, Artificial Intelligence, and Human-Computer Interaction , with applications in medical and molecular data analysis.

• Statistical Modeling
• Biostatistics
• Biomedicine
• +7 more

Dae-Jin Lee is an Assistant Professor at IE University’s School of Science and Technology, specializing in statistical modeling and data science. Previously, he served as a Research Line Leader at the Basque Centre for Applied Mathematics (BCAM) and coordinated the Knowledge Transfer Unit in Data Science/AI. His academic background includes a Ph.D. in Mathematical Engineering (2010) from Universidad Carlos III de Madrid and postdoctoral research at CSIRO (Australia). His research focuses on statistical methods for complex data, including penalized splines, tensor product smooths, and applications in biomedicine, epidemiology, environmental science, and sports analytics. He has led multidisciplinary projects funded by public and industry grants, collaborating globally with experts across fields like engineering, medicine, and biology. Key research themes include predictive modeling for health outcomes (e.g., SARS-CoV-2 pneumonia severity), sports injury prevention, and AI in healthcare. His work integrates machine learning with traditional statistical techniques, addressing real-world challenges like pedestrian dynamics simulations and automated medical diagnostics. He is actively involved in scientific organizations, including the Spanish Biostatistics Society and the Statistical Modelling Society. His recent publications highlight innovations in growth curve modeling, AI ethics, and spatiotemporal data analysis, reflecting his commitment to advancing both theoretical and applied statistics.

Juan Francisco Jimenez AlcazarView profile

Professor

• Medieval History
• Digital Humanities
• Historical Representation in Media
• +3 more

Juan Francisco Jiménez-Alcázar is a Professor at the Universidad de Murcia, affiliated with the Department of Prehistory, Archaeology, Ancient History, Medieval History and Historiographic Sciences and Techniques within the Faculty of Arts and Humanities. His research focuses on Medieval History, Digital Humanities, and the intersection of history with video games and digital media. He holds a Doctorate from the Universidad de Murcia (1993) with a thesis on 'Espacio, poder y sociedad en Lorca (1460-1521)'. His work explores historical representation in modern media, particularly analyzing how video games depict medieval soundscapes, warfare, and cultural frontiers. Key themes include the study of linguistic diversity in medieval Spain, governance structures in frontier regions like Murcia, and the impact of historical epidemics such as the 1507-08 plague in Murcia. Recent publications include books on Digital Humanities and video games (2020), medieval warfare simulations, and interdisciplinary studies on migration and historical identity. He collaborates with institutions like CONICET and the CNR in Italy, and his research contributes to both academic and public understanding of medieval history through digital tools and cultural analysis.

Jose Antonio Gomez HernandezView profile

Professor

• Library Science
• Digital Competencies
• Information Science
• +4 more

Jose Antonio Gomez Hernandez is a Professor at the University of Murcia , affiliated with the Faculty of Communication and Documentation and the Department of Library and Documentation Science . He holds a Doctorate from the University of Murcia (2006), completing his thesis on the role of libraries in higher education. His research focuses on public libraries' societal roles, digital literacy, transparency in governance, and social inclusion. Key projects include the IRIS Program , which educates students on transparency and participatory governance. His work emphasizes libraries as hubs for digital empowerment, particularly for marginalized groups like migrant women and vulnerable populations. He has collaborated on projects funded by grants like OTRI 34820, addressing digital competencies and public library innovation. His publications explore topics such as public library functionality, citizen engagement, and the intersection of technology with civic rights. He is part of the Libraries, Archives and Information Culture research group. Recent articles highlight his contributions to understanding digital skills programs, social capital creation in libraries, and the alignment of libraries with UN Sustainable Development Goals. His work bridges academic research with practical initiatives, advocating for libraries as essential institutions in fostering equitable societies.

• Academic Integrity
• Research Integrity
• Scientific Documentation and Communication
• +2 more

Rubén Lluc Comas Forgas is a Full Professor at the University of the Balearic Islands (UIB) in the Department of Applied Pedagogy and Educational Psychology . He holds a European PhD in Educational Sciences from UIB (2009) and has served as a visiting researcher at institutions including the University of East Anglia, Liverpool John Moores University, Panteion University, Autonomous University of Yucatán, and Stockholm University. Current research focuses on Academic Integrity , Research Integrity , Scientific Communication , Educational Uses of ICT , and Environmental Education . He leads multiple EU-funded projects (e.g., AI-UpskillED , CHARLIE ) and national initiatives like Academic Integrity in Initial Teacher Training (MCI-AEI-ERDF). His recent publications analyze the impact of generative AI on academic writing, predatory journals in education sciences, and plagiarism trends among Spanish students. He collaborates with the Research Group on Academic Integrity (GRIAC) and Education for Sustainability (GREAS) .

• Cloud Computing
• Green Computing
• High-Performance Computing
• +7 more

Jordi Guitart Fernández is a Professor at the Department of Computer Architecture, Barcelona School of Informatics (FIB), Universitat Politècnica de Catalunya (UPC). He is also affiliated with the Barcelona Supercomputing Center (BSC-CNS), a leading national supercomputing facility. He leads the CROMAI research group, focusing on Computing Resources Orchestration and Management for AI. His work bridges high-performance computing, cloud systems, and artificial intelligence. Research Interests: Cloud Computing and Edge Computing Green and Energy-Efficient Computing Containerization and Virtualization for HPC Resource Orchestration and Management Autonomic and Self-Adaptive Systems Machine Learning Workflow Management AI-Driven System Optimization His recent publications reveal a strong focus on intelligent management of computing resources across cloud, edge, and HPC environments using machine learning and agent-based frameworks. He investigates performance, efficiency, and reliability in containerized AI and HPC workloads, particularly within Kubernetes and distributed infrastructures. His work increasingly integrates human-in-the-loop and trustworthiness aspects into AI systems. Scientific Awards: CLOUD Conference 2025 Best Paper Award VISIGRAPP 2025 Best Student Paper Award Premi Extraordinari de Doctorat 2025 - Àmbit d'Enginyeria de les TIC Test of Time Award Honorable Mention (e-Energy) Reconeixement als Mèrits Docents d'Especial Qualitat Top reviewers for Polytechnic University of Catalonia (Computer Science) - September 2017 Advising and Grants: He has advised doctoral students, including Peini Liu. He leads and participates in numerous competitive R+D+i projects, such as CROMAI and DALEST, funded by national and European programs like HORIZON 2020 and the Spanish State Research Plans. His work is supported by grants focused on knowledge generation and industrial leadership in computing technologies. Labs and Teams: He is the leader of the CROMAI - Computing Resources Orchestration and Management for AI research group at UPC. He also collaborates closely with the Barcelona Supercomputing Center (BSC-CNS), contributing to large-scale computing initiatives and strategic research agendas in Europe.

Agustín Zaballos DiegoView profile

Assistant Professor

• Smart Grids
• Internet of Things (IoT)
• Sensor Networks
• +3 more

Agustín Zaballos Diego is an Assistant Professor in the Department of Computer Engineering at University Ramon Llull (URL), Barcelona, Spain, since 1999. He serves as Research Coordinator in the Department of Engineering at La Salle Campus Barcelona and leads the R&D Networking and Security Area since 2002. His academic background includes a PhD in Data Networks and Internet Technologies (2012), an International MBA (2014), and an M.S. in Electronic Engineering (2000). University: University Ramon Llull (URL) Department: Department of Computer Engineering Research Group: GRITS Research Focus: Real-time QoS-aware routing protocols in Smart Grids, Ubiquitous Sensor Networks, and IoT communications. His work bridges telecommunications, computer science, and energy systems through projects like OPERA (FP6), INTEGRIS (FP7), and FINESCE (FP7). Publication Trends: Recent articles highlight advancements in HF communications for Antarctic research, hybrid genetic algorithms for traffic engineering, IPv6 testing, and Industry 4.0-related networking solutions. Keywords span Smart Grids, IoT, Sensor Networks, and QoS optimization. Collaborative Projects: Key initiatives include the Antarctica Project , ATHIKA (ICT in healthcare), ENVISERA (environmental sensor networks), HOTSUP (online teaching innovation), PLANET4 (AI/ML in industry), and XIoT (IoT scalability challenges).

• Internet of Things
• Transport Protocol
• Cybersecurity
• +8 more

Alan Briones Delgado is a researcher at the La Salle School of Engineering , Universitat Ramon Llull , with a focus on Internet of Things , Cybersecurity , and Transport Protocols . His work spans projects funded by the European Commission and national grants, including EXCEL4HOUSING4.0 , WeB-Nimbus , and NG-SOC , addressing challenges in cloud computing education, ecological monitoring, and security operations. His research integrates Artificial Intelligence and Wireless Sensor Networks for sustainable solutions. Key research areas include Quality of Service in heterogeneous networks, Environmental Conservation via IoT, and Teaching and Learning strategies for Big Data. Projects like EcoSentinel and BTL-COP highlight his commitment to Environmental Monitoring and Community Policing applications. His collaborations extend to institutions in the UK , Albania , and Western Balkans . Contact: alan.briones@salle.url.edu

• Biomaterials
• Tissue Engineering
• Bone Regeneration
• +6 more

Maria Pau Ginebra Molins is a Professor in the Department of Materials Science and Engineering at the Barcelona East School of Engineering (EEBE), Polytechnic University of Catalonia (UPC). She leads the BBT Research Group focused on Biomaterials, Biomechanics and Tissue Engineering and is affiliated with the Institute of Research and Innovation in Health. Her educational background, while not explicitly detailed in the provided text, reflects extensive expertise in materials science with a specialization in biomaterials, evidenced by her substantial research portfolio spanning over three decades. Professor Ginebra Molins' research spans biomaterials development, bone tissue engineering, and advanced manufacturing techniques. Her work focuses on calcium phosphate-based materials, 3D printing technologies for bone scaffolds, hydrogel systems, and surface modifications of biomaterials to enhance biological responses. She has pioneered approaches in vat photopolymerization, direct ink writing, and the development of stimuli-responsive biomaterials. Analysis of her recent publications (2024-2025) reveals a strong emphasis on translational research with clinical applications. Her work bridges fundamental materials science with practical medical solutions, particularly in bone regeneration, dental implants, and antimicrobial biomaterials. The publications demonstrate expertise in advanced characterization techniques, including spectroscopy and nanoindentation for biomaterial evaluation. Multiple competitive R&D projects including CEX2023-001300-M Maria Maetzu Centre Ciència i Enginyeria Multiescala 17 documented awards and recognitions Leadership in the Inspiring the next generation of innovators project Patents related to 3D-printed bone grafts Professor Ginebra Molins actively supervises doctoral students, with Johansson, L. completing a thesis on 3D-printed biomimetic bone grafts. Her research group (BBT) collaborates extensively with industry and clinical partners to translate laboratory findings into medical applications. She participates in numerous competitive research projects funded by national and European programs, demonstrating the high impact and relevance of her work in the biomaterials field.

Felix Gomez MarmolView profile

Associate Professor

• Cybersecurity
• Artificial Intelligence
• Machine Learning
• +5 more

Felix Gomez Marmol is an Associate Professor at the University of Murcia's Faculty of Informatics, Department of Information and Communication Engineering. His research focuses on cybersecurity, artificial intelligence, network security, and IoT security. He holds a PhD in Computer Science from the University of Murcia (2010), supervised by Dr. Gregorio Martínez Pérez. Key research interests include adaptive intrusion detection systems, dark web analysis, and AI-driven cybersecurity frameworks. He leads the Intelligent Systems and Telematics research group and previously contributed to the Sistemas Inteligentes group. His work emphasizes practical applications such as the SCORPION Cyber Range platform for cybersecurity training and gamification. Recent projects involve detecting hate networks on social media, optimizing malware defense using transfer learning, and developing SIEM systems for IoT environments. His contributions span technical papers on cybersecurity education, ethical hacking fundamentals, and blockchain-based security solutions. Prof. Gomez Marmol has collaborated on initiatives like the COBRA framework for simulating advanced persistent threats (APTs) and the COnVIDa dashboard for pandemic-related data analysis. His research bridges theoretical advancements with real-world cybersecurity challenges.