Oscar Reinoso Garcia is a Professor in the Department of Systems Engineering and Automation at Miguel Hernández University of Elche. He holds dual leadership roles as the Director of the University Institute for Engineering Research and the director of the Automation, Robotics and Computer Vision Lab (ARVC Lab). His academic responsibilities include coordinating and teaching courses in Control Systems (Bachelor's in Electronic Engineering), and multiple Master's-level robotics courses such as Artificial Intelligence in Robotics and Emerging Technologies. His research spans robotics, automation, computer vision, and artificial intelligence, with applied work in robot kinematics and image processing. He actively contributes to industrial and telecommunications technologies through doctoral programs. Contact via email at oreinoso@umh.es or phone +34 96 665 8616. Office located at ARVC Laboratory, Avda. Universidad, s/n., 03202 Elche.
Victor Manuel Maojo Garcia is a Professor in the Department of Artificial Intelligence at the Polytechnic University of Madrid, a position he has held since May 31, 2007. He serves as Principal Investigator of the Biomedical Informatics Group (GIB) since June 14, 2005, and as Doctoral Program Coordinator since September 1, 2017. His research spans Medical Informatics, Health Informatics, Artificial Intelligence, and Biomedical Informatics, with significant contributions to Computer Vision, Health Information Management, and Nursing Informatics. His work focuses on applying computational methods to solve complex problems in healthcare systems and biomedical research, emphasizing interdisciplinary approaches that bridge computer science and clinical domains. As leader of the Biomedical Informatics Group (GIB), Professor Maojo Garcia directs cutting-edge research in health data analytics and AI-driven medical solutions. His role as Doctoral Program Coordinator underscores his commitment to advancing graduate education and mentoring the next generation of researchers in artificial intelligence and biomedical applications.
Christian Mata Miquel is a Lecturer in the Department of Systems, Automatic and Industrial Informatics Engineering at the Barcelona East School of Engineering, part of the Polytechnic University of Catalonia (UPC). He is affiliated with the Institute of Research and Innovation in Health and actively contributes to the BIOCOM-SC (Computational Biology and Complex Systems) research group as well as the ANCORA subgroup focused on cardiac rhythm analysis. His research interests center around medical imaging, computer vision, and artificial intelligence with specific applications in biomedical engineering. Dr. Mata Miquel's work spans various subfields including medical image processing, neuroimaging analysis, pediatric imaging applications, and computational biology. His research bridges engineering and healthcare, developing computational tools for clinical applications. Analysis of his recent publications reveals a strong focus on applying deep learning techniques to medical imaging challenges, particularly in neuroimaging and pediatric applications. His work shows consistent progression toward more sophisticated AI methodologies with emphasis on segmentation, enhancement, and diagnostic support systems. The publications span high-impact journals and conferences in medical imaging, computer vision, and biomedical engineering. CaixaResearch Institute Fund for the Innovation Hub Dr. Mata Miquel participates in numerous competitive R&D projects, including the AI-CARdiology Advanced Monitoring cloud-Based platform and the Pediatric Computational Imaging Center at Hospital Sant Joan de Déu. His research collaborations extend across multiple institutions, with significant contributions to wildfire monitoring systems and medical imaging applications. He serves on scientific committees for conferences including the 18th Multi Conference on Computer Science and Information Systems and the 37th IEEE International Symposium on Computer-Based Medical Systems. His work is conducted through the BIOCOM-SC research group and the ANCORA subgroup, focusing on computational approaches to biomedical problems. Current projects include developing AI-enhanced tools for brain morphometry analysis, prostate cancer segmentation, and pediatric neuroimaging applications, demonstrating the integration of engineering expertise with clinical healthcare needs.
Luis Carlos Pardo Soto is an Associate Professor in the Department of Physics at the Escola d'Enginyeria de Barcelona Est (EEBE), Universitat Politècnica de Catalunya (UPC). He is a core member of the Group of Characterization of Materials (GCM), the Multiscale Science and Engineering Research Center (CCEM), and the Phase Transitions, Polymorphism, Glasses and Dynamics of Metastability (PTP-GlaDyM) research group. His research focuses on disordered systems including molecular liquids, plastic crystal phases, and their glassy states. He investigates the structural and dynamic properties of these systems using experimental techniques such as neutron and X-ray diffraction, dielectric spectroscopy, and high-pressure devices, complemented by molecular dynamics simulations using GROMACS. His work particularly examines water structure and its interactions with biologically relevant molecules. Pardo Soto has developed specialized software tools including ANGULA for orientational order analysis in disordered systems and FABADA for Bayesian analysis of experimental data. His research outputs include numerous indexed journal articles, book chapters, and conference presentations, with significant contributions in the fields of glass formation, molecular dynamics, and disordered materials characterization. He is actively involved in scientific outreach through FISIDABO VISIONS (STEAM-FORUM and STEAM-ANELLA initiatives) and maintains a YouTube channel for disseminating scientific content. His teaching responsibilities focus on disordered systems and related physics concepts.
Professor Marcello Ruiz is a faculty member at Universidad de Las Palmas de Gran Canaria (ULPGC), affiliated with the College of Engineering and Architecture's Department of Signals and Communications. He leads the Image Processing and Remote Sensing Research Group under the IU of Oceanography and Global Change, focusing on environmental monitoring through advanced remote sensing techniques. His research integrates AI and satellite technologies to address ecological challenges, with core interests in: Coastal ecosystem vulnerability assessment Forest degradation and fire mapping Super-resolution of satellite imagery Machine learning for multispectral/LiDAR analysis Oceanographic pattern detection Recent publications demonstrate strong emphasis on AI-driven methodologies, with 2023-2024 works focusing on GANs for image enhancement, forest conservation algorithms, and coastal habitat monitoring using high-resolution sensors. His team consistently publishes in Q1 journals including IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing. Professor Marcello actively advises graduate students, with supervised theses covering UAV-based forest analysis, coastal bathymetry, and oceanographic eddy detection. He maintains collaborations through IEEE GRSS Spain Chapter and develops tools for environmental agencies needing satellite-based ecosystem monitoring solutions.
Maria-Cristina Marinescu serves as a Lecturer in the Department of Mathematics and Data Analytics at IQS School of Management. With a strong foundation in computational methods and data analysis, she contributes significantly to both teaching and research within the institution. Her academic profile demonstrates consistent scholarly activity with 44 documented scientific production items spanning over two decades. Dr. Marinescu's research interests center on Machine Learning, Data Analytics, and Artificial Intelligence, with notable applications in epidemic modeling, wireless sensor networks, and programming models. Her work bridges theoretical computer science with practical applications addressing real-world challenges in public health, digital well-being, and medical diagnostics. The fingerprint analysis of her work shows strong emphasis on Machine Learning (100%), Learning Systems (100%), and Transportation Models (100%), with substantial contributions to Programming Models (84%) and Wireless Sensor Networks (77%). Her recent publications reveal a trend toward interdisciplinary research that combines computational methods with societal challenges. She has made significant contributions to epidemic modeling during the COVID-19 pandemic, developing methods for accurate incidence rate estimation in Spain and analyzing information gains from multiple epidemic model outputs. Additionally, her work extends to medical applications including research on ocular ischemia and glaucoma, as well as innovative approaches to automated metadata annotation using machine learning techniques. Dr. Marinescu actively leads and participates in multiple research projects including Uncovering patterns of unconscious reactions to fake content (as Principal Investigator), MobilePressure (focused on reducing children's smartphone exposure), and ADAMIQS: Applied Data Analytics and Modelling IQS . These projects demonstrate her commitment to addressing contemporary issues through data-driven approaches while mentoring students and collaborating with interdisciplinary research teams.
Emilio Santiago Corchado Rodríguez serves as a University Professor in the Department of Computer Science and Automation at the University of Salamanca, with additional affiliations at the University Research Institute in Animation Art and Technology and the Biomedical Research Institute of Salamanca. He holds a Doctorate from the University of Salamanca (2002), completing his thesis "Early vision and artificial neural networks" under the supervision of Dr. Luis Alonso Romero and Dr. Colin Fyfe. His academic foundation spans Computer Engineering and Marine Energy and Propulsion through PhD school associations. His research spans Artificial Intelligence, Bioinformatics, and Intelligent Computing Systems, with specialized focus on Computer Vision and Neural Networks through the BISITE research group (Bioinformatics, Intelligent Computing Systems and Educational Technology). This work integrates educational technology applications across biomedical and engineering domains. Active within the BISITE research ecosystem, he contributes to interdisciplinary projects bridging animation technology, biomedical research, and computational systems through the university's specialized institutes.
Dr. Alfonso González Briones is an Associate Professor in the Department of Computer Science and Automation at the University of Salamanca, where he conducts cutting-edge research in intelligent systems and their applications. He is a prominent member of the BISITE Research Group and has also worked with the GRASIA Research Group at Complutense University of Madrid as a 'Juan De La Cierva' postdoc. His academic journey at the University of Salamanca includes a Bachelor of Technical Engineering in Computer Engineering (2012), a Bachelor's Degree in Computer Engineering (2013), a Master's Degree in Intelligent Systems (2014), and a PhD in Computer Engineering (2018). His research focuses on Ubiquitous Computing and Ambient Intelligence for developing smarter, more energy-efficient cities that improve social welfare and promote sustainable development. His work spans Multiple Agent Systems (MAS), energy optimization, smart cities infrastructure, Industry 4.0 applications, and machine learning techniques for various domains including social networks, transportation, and agricultural systems. Dr. González Briones has published extensively with over 30 journal articles and 60 conference proceedings publications, demonstrating consistent productivity across multiple domains of computer science and artificial intelligence. His research trends show a clear progression from foundational work in multi-agent systems toward increasingly sophisticated applications in smart cities, energy management, and Industry 4.0 contexts, with a growing emphasis on practical implementations that address real-world challenges. 2nd place in 1st SENSORS+CIRTI Award for best national thesis in Smart Cities (CAEPIA 2018) Juan de la Cierva State Program Grant in ICT - Information and Communication Technologies (2018) Member of scientific committees for Advances in Distributed Computing and Artificial Intelligence Journal (ADCAIJ) and British Journal of Applied Science and Technology (BJAST) Reviewer for prestigious journals including Supercomputing Journal, Journal of King Saud University, Energies, Sensors, Electronics, and Applied Sciences As an active researcher, Dr. González Briones has participated in 10 international research projects and served on technical committees for prestigious international conferences including AIPES, HAIS, FODERTICS, PAAMS, and KDIR. His work bridges academic research with practical industry applications, particularly in energy optimization systems, IoT, and Machine Learning solutions for real-world problems. He has also collaborated with private research centers including Virtual Power Solutions in Portugal and AIR Institute, where he worked as Project Manager in Industry 4.0 and IoT projects. His research infrastructure includes work with the BISITE Research Group, where he develops and implements multi-agent architectures for optimizing energy consumption and other complex systems. His laboratory work spans smart home energy management, intelligent transportation systems, semantic analysis for Industry 4.0, and social network analysis applications.
Rubén Alcaraz Martínez is an Associate Professor at the Department of Library Science, Documentation and Audiovisual Communication at the University of Barcelona's Faculty of Information and Audiovisual Media. He teaches in the bachelor's degree in Information Management and Digital Documentation, the master's degree in Digital Content Management, and the master's degree in Digital Humanities at UB, while also collaborating with UPF on master's programs in Search Engines, Digital Documentation, and UX, as well as with EINA (UAB) on Graphic Design and Art and Design Research programs. Doctor in Engineering and Information Technologies (UdL) Master in Digital Content Management (UB/UPF) Diploma in Library Science and Documentation (UB) Senior Technician in Web Application Development Alcaraz Martínez's research focuses on digital accessibility, human-computer interaction, usability and user experience (UX), digital repositories and libraries, and search engine optimization (SEO). His work demonstrates a strong commitment to inclusive design, particularly in making data visualizations accessible for people with low vision. He has pioneered methodologies for evaluating the accessibility of statistical charts and has explored the integration of search experience optimization (SXO) with information architecture and web accessibility. His recent publications (2023-2025) reveal a research trajectory centered on practical applications of digital humanities, with particular emphasis on accessibility challenges in data visualization, SEO ethics, and the intersection of AI with design practices. His work bridges theoretical frameworks with practical implementation, often involving user testing and real-world applications. The publications span multiple disciplines including information science, human-computer interaction, digital humanities, and media studies, demonstrating his interdisciplinary approach to digital information systems. Rubén Alcaraz Martínez is actively involved in the Adaptabit and Culture and Digital Content research groups at the University of Barcelona. He has previously served as a member and coordinator of the COBDC's Free Software Working Group for Information Professionals and has provided consulting services related to web accessibility for public administration and SEO for both public and private companies. His work extends to the development of teaching materials on accessible document composition, color contrast in web accessibility, and accessible data visualizations through the Open University of Catalonia (FUOC).
Enric Senabre Hidalgo is a Ramón y Cajal researcher at the Faculty of Information and Audiovisual Media of the University of Barcelona. Previously, he has held postdoctoral positions at the Open University of Catalonia (UOC), University Paris Cité, and the Austrian Academy of Sciences. He is also the co-founder of Goteo.org, an open-source crowdfunding platform, and serves as vice president of the Observatori per a la CiberSocietat. Dr. Senabre Hidalgo earned his PhD in Information and Knowledge Society from the Interdisciplinary Institute of Internet (IN3) at the UOC and holds a degree in Hispanic Philology from the University of Barcelona. He has also been a predoctoral fellow at CECAN, University of Surrey, and an associate professor at UOC's Informàtica, Multimèdia i Telecomunicació studies. His research focuses on digital humanities, citizen science, and co-creation methodologies, with particular interest in data commons, platform economy, and digital disengagement. His work often bridges academic research with practical applications through open-source and community-driven approaches. Recent publications highlight his innovative work in arts-inspired co-design, digital disengagement studies, and alternative sociotechnical visions of data governance. His publication record reveals a strong trend toward interdisciplinary collaboration, with recent work spanning digital humanities, social sciences, health studies, and environmental research. His research consistently emphasizes participatory methodologies, community engagement, and the development of alternative models for knowledge production and data governance outside traditional institutional frameworks. Ramón y Cajal Program Fellowship Dr. Senabre Hidalgo has extensive experience in research management and co-creation, having developed methodologies for agile project management in academic settings and co-designed citizen science experiments. His work with Goteo.org connects crowdfunding with sustainable development goals, demonstrating practical applications of his research. He has also collaborated with institutions including Generalitat de Catalunya and Mozilla Foundation to develop open educational resources. His research involves multiple collaborative networks, including the Quantified Self community, citizen science initiatives, and digital humanities projects. He frequently employs experimental approaches to knowledge co-creation, such as manifesto sprints and arts-based research methods, working across disciplinary boundaries to develop innovative sociotechnical solutions.
