Isabel Navazo is a Lecturer at the Department of Computer Languages and Systems, Polytechnic University of Catalonia, Spain. Her work focuses on medical imaging applications, volume and solid modeling, virtual reality, and occlusion culling. Research Interests: She specializes in Volume and Solid Modeling , Virtual Reality , and Medical Applications , particularly in colon segmentation, volumetric rendering, and interactive visualization tools. Her research often bridges computational methods with clinical diagnostics. Publication Trends: Recent articles highlight her contributions to MRI segmentation, medical visualization, and haptic rendering. Key themes include colonic content analysis , interactive exploration of medical data , and texture-based hybrid visualizations for diagnostic applications.
Albert Ramon Puig serves as a Professor at Ramon Llull University's La Salle Campus Barcelona, affiliated with the Animation section of the institution. His academic role places him within the university's technical and creative disciplines framework. His research focuses on visual digital creation domains, specifically: Animation Computer Graphics Multimedia No scientific awards or honors were documented in the available institutional records. Public information does not specify graduate student supervision activities or externally funded research grants under his direction. The institutional directory provides no details regarding laboratory facilities, research teams, or collaborative projects associated with his academic work.
Dr. José María Buades Rubio is a Senior Lecturer in the School of Mathematics and Computer Science at the University of the Balearic Islands (UIB), where he has served since October 1999. As a member of the Computer Graphics, Vision and Artificial Intelligence Unit (UGIVIA), he bridges theoretical computer science with practical applications in visual computing. His research interests center on computer graphics , computer vision , and artificial intelligence , particularly 3D reconstruction and image analysis. Teaching spans core computer science domains including algorithm design, programming languages, and theory of computation across multiple undergraduate and master's programs. Dr. Buades teaches Advanced Algorithms, Algorithmics, and Programming courses for Mathematics, Informatics Engineering, and Telematics Engineering degrees. His supervision of Final Degree Projects emphasizes practical implementation of computer vision solutions. Career timeline shows continuous service since 1999 with PhD completion in 2006. Current affiliations include: Primary Appointment: School of Mathematics and Computer Science, UIB Research Group: Computer Graphics, Vision and Artificial Intelligence Unit (UGIVIA) His teaching portfolio demonstrates expertise across foundational computer science topics with specialization in visual computing applications. Office hours require advance booking through the university system, with physical location in room 211 of the Anselm Turmeda building.
Dr. Maria Francesca Roig Maimó is a Tenured Contract Senior Lecturer in the Department of Mathematics and Computer Science at the University of the Balearic Islands (UIB). She has been teaching at UIB since 2017, delivering courses across multiple engineering programs including Informatics Engineering, Telematics Engineering, and dual Mathematics/Informatics degrees. Her research focuses on: Human-Computer Interaction (HCI) with specialization in mobile interfaces Performance evaluation methodologies for interactive systems Contributions to computer vision and artificial intelligence through the UGIVIA research group She maintains office hours in Despatx 221 (Anselm Turmeda building) and can be contacted via university phone systems. As a member of the Computer Graphics, Vision and Artificial Intelligence Unit (UGIVIA) , she participates in consolidated R&D initiatives at UIB, though specific grant details aren't provided in the source material.
Dr. Adrian Dominguez Diaz is an Assistant Professor in the Department of Computer Science at the University of Alcalá (UAH), actively engaged in research and teaching with a focus on artificial intelligence, automatic planning, and educational technology applications. His primary institutional affiliations include: Department of Computer Science, University of Alcalá Intelligent Mobile Platforms Research Group Information Technologies for Training and Knowledge Research Group Principal Investigator for gender-focused video game development research projects Dr. Dominguez Diaz's research interests span multiple domains with particular emphasis on: Artificial Intelligence and Automatic Planning Mobile and Ubiquitous Learning Gamification in Educational Settings Natural Language Processing applications Gender perspectives in technology education Optimization of mobile and IoT systems using AI techniques His work demonstrates a strong interdisciplinary approach, bridging computer science with educational methodologies and gender studies. Recent publications (2023-2024) show concentrated research effort in gender detection using AI, sustainability in computing, and mapping scientific connections through network analysis. His work appears in reputable journals including PeerJ Computer Science, ELECTRONICS, and Scientometrics, reflecting both technical depth and interdisciplinary reach across educational technology, AI, and network science. Dr. Dominguez Diaz has secured research funding from both the University of Alcalá and the Ministry of Science and Innovation. His current projects include: Gender perspective study on narrative video games in secondary education (Principal Investigator, 10,000 euros) Analysis and recovery of criminal evidence from hidden networks (Co-investigator, 49,731 euros) STEAM through narrative video game development in secondary education (Principal Investigator, 7,000 euros) These projects highlight his commitment to both theoretical research and practical applications in educational technology with gender-inclusive approaches. His teaching portfolio includes courses on Artificial Intelligence and Automatic Planning across multiple degree programs, including Computer Engineering and Teacher Training programs with a technology focus. This reflects his dual expertise in computer science and educational methodology, with particular emphasis on applying gamification and narrative techniques to enhance learning experiences.
Dr. José Ángel Taboada González is a Lecturer in the Department of Languages and Computer Systems at the University of Santiago de Compostela. He specializes in computer graphics, data engineering, and IoT platforms. Research group: Computer graphics and data engineering Teaching subjects: Smart Cities, Software Engineering, Informatics Project Management, and Ubiquitous Computing
Dr. Antonio Bibiloni Coll is a Senior Lecturer at the University of the Balearic Islands, affiliated with the Mathematics and Computer Science school and Artificial Intelligence and Computer Science department. With tenure since 1988, he directs the Laboratory of Information Technologies and Multimedia (LTIM) and leads the TIM research group focused on advanced multimedia technologies. His education includes: Degree in Computer Science from Autonomous University of Barcelona Doctorate in Computer Science from University of the Balearic Islands Research interests span: Multimedia systems and adaptive streaming Extended Reality (XR) environments Decentralized applications (DApps) Big Data analytics for social networks Intellectual property frameworks in R&D Teaching responsibilities include core undergraduate courses like Multimedia Technology and Business Information Management, plus graduate supervision in Big Data programs. He coordinates Final Degree Projects and Practical Placements for Master's students. Laboratory leadership includes directing LTIM and heading the TIM research group, with additional collaboration in the Computer Graphics, Vision and AI Unit (UGIVIA).
Dr Esperança Amengual Alcover serves as a Tenured Contract Senior Lecturer in the Department of Mathematics and Computer Science at the University of the Balearic Islands (UIB), where she has maintained continuous faculty affiliation since 2000. Her institutional presence spans teaching, research, and laboratory leadership across multiple engineering programs. Her research portfolio centers on six interconnected domains: software process improvement, human computer interaction, facial expression recognition, artificial intelligence, explainable AI, and e-health serious games. This interdisciplinary work converges at the intersection of computer science and healthcare innovation, particularly through her involvement with the Institute for Research in Health Sciences (IUNICS). Academic contributions are amplified through three research entities: the Computer Graphics and Vision and AI Group (UGiVpOeIA), Multimedia Information Technologies Lab (LTIM), and Behaviour And Technology LABoratory (BATLAB). These platforms facilitate her applied research in medical AI systems and therapeutic gaming environments. Teaching responsibilities encompass core computer science courses across multiple engineering degrees, with current focus on Databases I and Software Engineering and Databases. Student engagement follows structured appointment protocols through her Anselm Turmeda building office. Professional profiles: ORCID, ResearcherID, Scopus, Dialnet Contact: Room 111, Anselm Turmeda Building, +34 971 172676 Research nexus: Computer science applications in healthcare technology
Francisco Rogelio Manzano Agugliaro serves as Professor in the Department of Engineering at the University of Almería's School of Engineering. His academic focus centers on Graphic Expression in Engineering, with current teaching responsibilities including Topography and Geographic Information Systems for Agricultural Engineering students. His research domain intersects Engineering Graphics and spatial technologies, emphasizing practical applications in agricultural contexts through Geographic Information Systems (GIS) and topographic analysis. These competencies form critical components of modern engineering visualization and land management systems. Professor Manzano maintains structured academic guidance through weekly tutoring sessions held Mondays through Wednesdays (9:00-11:00) in Office 410 of the Higher School of Engineering. Prospective students must schedule appointments via email to fmanzano@ual.es, reflecting his commitment to dedicated student support within the engineering curriculum.
Ángel Jesús Callejón Ferre is a Professor in the Department of Engineering at the University of Almería, Spain, with extensive expertise in agricultural engineering, greenhouse technology, and occupational health in agricultural settings. His research spans multiple domains including ergonomic assessment of farm work, psychosocial factors affecting agricultural workers, structural analysis of greenhouse systems, and sustainable agricultural practices. His research interests focus on the intersection of engineering solutions and agricultural productivity, with particular emphasis on improving working conditions in greenhouse agriculture. Through his leadership of the Industrial and Agricultural Technologies Research Group, he has developed methodologies for assessing musculoskeletal risks, optimizing greenhouse structures, and integrating renewable energy solutions into agricultural infrastructure. Analysis of his recent publications (2021-2025) reveals a strong focus on practical applications addressing contemporary challenges in agriculture, including pesticide exposure risk assessment, crop quality optimization, and psychosocial risk evaluation. His work appears consistently in high-impact journals across engineering, horticulture, and occupational health disciplines, demonstrating interdisciplinary relevance and impact. Key Research Themes: Ergonomic assessment in greenhouse agriculture Psychosocial factors in farm labor Greenhouse structural engineering Crop quality and production optimization Sustainable agricultural technologies As Principal Investigator for the Laboratory-Observatory of Working Conditions in the Agricultural Sector of Andalusia (LASA), Professor Callejón Ferre oversees significant research initiatives addressing occupational safety and health in agriculture. His mentorship extends to numerous doctoral students across agricultural engineering and related disciplines, fostering the next generation of researchers in this field.
Rafael Rumí Rodríguez is a Professor in the Mathematics Department at the University of Almería, Spain, with extensive experience in probabilistic modeling and data analysis. He leads the 'Análisis de datos' research group and serves as Principal Investigator for multiple research projects, including the current 'Hacia una Inteligencia Artificial Probabilística Confiable (TOPAI-UAL)' (2023-2026). Dr. Rumí Rodríguez's research focuses on Bayesian networks and probabilistic graphical models , with applications spanning environmental science, ecology, agriculture, and education. His work includes developing methods for continuous distributions in hybrid Bayesian networks, flood risk assessment in Mediterranean regions, climate change impact modeling for Andalusian agriculture, and educational assessment analytics. He has created practical tools like the 'hcrBN' R package for hybrid Bayesian network applications. His publication record includes 43 articles , 2 books or chapters , 3 theses , and 31 conference papers , with an h-index of 16 (Scopus) and 15 (Web of Science). Many publications appear in Q1 journals, reflecting significant research impact across computer science, environmental science, and statistics. Scopus h-index: 16 Web of Science h-index: 15 Scopus i10-index: 27 Web of Science i10-index: 23 Dr. Rumí Rodríguez has secured substantial research funding throughout his career, including as Principal Investigator for the current TOPAI-UAL project (€120,100) and previous projects like the European AMIDST initiative (€323,490). His research group provides opportunities for students to engage in both theoretical advances and practical applications of probabilistic modeling, with strong connections to environmental and agricultural domains in the Mediterranean region.
Antonio Salmerón Cerdán is a Professor in the Mathematics Department at the University of Almería, where he has established himself as a leading researcher in probabilistic artificial intelligence and Bayesian networks. With over 25 years of academic experience, he leads the 'Análisis de datos' research group and serves as Principal Investigator for multiple nationally and internationally funded projects, including the current 'Hacia una Inteligencia Artificial Probabilística Confiable (TOPAI-UAL)' project (2023-2026). His research expertise spans theoretical and applied aspects of probabilistic graphical models, with particular focus on Bayesian networks, causal inference, and their applications across diverse domains. His work demonstrates a consistent trajectory from foundational theoretical contributions to practical implementations in software engineering, genomics, sports analytics, and trustworthy autonomous systems. Professor Salmerón's publication portfolio reveals a strong emphasis on methodological innovations in probabilistic reasoning, with recent work exploring divide-and-conquer approaches for causal computation, noise-robust classification methods, and the integration of observational and randomized data sources. His research shows increasing interdisciplinary reach, connecting computer science methodologies with applications in plant genomics, software maintenance, and healthcare. Journal Publications: 105 articles in high-impact venues including Ecological Informatics (Q1), International Journal of Approximate Reasoning (Q2), and ACM Transactions Research Funding: Principal Investigator for 9 major projects since 2001 totaling over €800,000 in funding Thesis Supervision: Director of 7 doctoral theses on probabilistic graphical models and their applications Metrics: h-index 22 (Web of Science), i10 index 59 His research program demonstrates a unique combination of theoretical rigor in probabilistic reasoning with practical applications across diverse scientific domains, positioning him at the forefront of reliable probabilistic AI development.
Pedro Larrañaga is a Full Professor in Computer Science and Artificial Intelligence at the Technical University of Madrid (UPM) since 2007. He co-leads the Computational Intelligence Group (CIG) since its foundation in 2008 and has an extensive academic career spanning multiple institutions, including the University of the Basque Country (UPV-EHU). Education: MSc in Mathematics (Statistics) from University of Valladolid; PhD in Computer Science from University of the Basque Country (with Excellence Award) Affiliations: Full Professor at UPM (2007–present); previously Assistant Professor (1985–1998), Associate Professor (1998–2004), and Full Professor (2004–2007) at UPV-EHU His research focuses on probabilistic graphical models, metaheuristics for optimization, and their applications in biomedicine, bioinformatics, and industry4.0. He has supervised over 20 PhD theses and published more than 150 journal papers. Scientific Awards ECCAI Fellow (2012) 2013 Spanish National Prize in Computer Science
Elvira Patricia Pino Blanco is a Professor in the Department of Computer Science at the Barcelona East School of Engineering, Polytechnic University of Catalonia (UPC). She is a member of the ALBCOM research group (Algorithms, Bioinformatics, Complexity and Formal Methods) and has an extensive publication record spanning over two decades. Her research interests focus on formal methods in computer science, particularly in graph theory, logic programming, and database systems. She has made significant contributions to navigational logics for graphical structures, graph databases, and model synchronization using triple graph grammars. Her work bridges theoretical foundations with practical applications in software engineering and data management. Her publication trends show a consistent focus on graph-based approaches to computational problems, with recent work emphasizing logical approaches to graph databases and navigational query languages. She has published in high-impact venues including Journal of Logical and Algebraic Methods in Programming, Theoretical Computer Science, and various international conferences. Professor Pino Blanco has been involved in numerous competitive R&D projects related to algorithmics, bioinformatics, and formal methods. Her work demonstrates interdisciplinary connections between theoretical computer science and practical applications in data management and software engineering. She is affiliated with the ALBCOM research group which focuses on algorithmics, bioinformatics, complexity theory, and formal methods. This group represents a vibrant research community working at the intersection of theoretical computer science and practical applications.
María Amor Díaz García serves as an Associate Professor at the Faculty of Social Sciences, University of Salamanca, specializing in digital animation and visual effects technologies. She teaches core courses including Editing and Post-production Technology, Motion Graphics, and Animation, directly applying her industry expertise to academic instruction. Her educational foundation includes a European Master's Degree in Computer Animation and Synthetic Image. Professional experience spans roles as a Digital Animator for Cambridge Animation Systems and diverse European and American production companies, culminating in leadership as Head of the Image and Design Department at Zamora's School of Art and Higher Studies. Research interests focus on the intersection of computer-generated imagery and modern media production, with emphasis on Digital Animation techniques, Computer Design workflows, VFX integration, and Motion Graphics applications. Her work bridges theoretical frameworks with practical industry standards in digital content creation. Dr. Díaz García maintains active scholarly engagement through dedicated platforms: adgarte.blogspot.com for artistic research, adananimacion.wordpress.com and adanimacion.blogspot.com for animation studies, plus a professional Facebook presence at facebook.com/adanimacion.
