جست‌وجوی استاد و پژوهشگر

• Spectral Shape Analysis
• 3D Computer Vision
• Geometric Deep Learning
• +۴ مورد دیگر

Riccardo Marin is a Postdoctoral Researcher at the Technical University of Munich (TUM) within the Computer Vision Group. His research focuses on Spectral Shape Analysis, Geometric Deep Learning, and 3D Human Modeling. He holds affiliations with ELLIS Society and is an alumni of the Alexander von Humboldt Foundation and Marie Skłodowska-Curie Actions. Marin's work bridges computational geometry and deep learning, addressing challenges in 3D human registration (NICP), avatar creation (Human-3Diffusion), and neural surface modeling (NSF). He has contributed to open-source tools for spectral shape analysis and maintains active GitHub repositories showcasing his research implementations. His research interests span 3D reconstruction, neural fields, and implicit representations, with applications in virtual humans and human-object interaction analysis. Marin's recent work emphasizes scalable registration pipelines and diffusion models for 3D generation. Awards: ELLIS Member, Alexander von Humboldt Alumni, Marie Skłodowska-Curie Fellow Key Contributions: NICP, Human-3Diffusion, NSF framework Education: PhD background (implied from postdoc status), involvement in a Spectral Shape Analysis course at University of Verona

Emilia López-Iñestaمشاهده پروفایل

استاد

• Mathematics Education
• Artificial Intelligence
• Statistics
• +۳ مورد دیگر

Emilia López-Iñesta is a Professor at the University of Valencia's School of Engineering, specializing in Mathematics Didactics. She holds a PhD in Information and Communications Technologies and has extensive experience in education innovation, scientific outreach, and gender equity in STEM. Her current role combines teaching pre-service teachers, conducting research on mathematics education, and leading projects like Girls4STEM and DatabeersVLC to promote STEM vocations and gender equality. Education: Bachelor's in Mathematics Bachelor's in Statistical Sciences and Techniques PhD in Information, Communications, and Computing Technologies Professional Experience: Department of Health Valencia City Council Statistics Office Emergency Service 112 Valencian Community CSIC Research Center Various university educational centers Research Interests: Mathematics education, computational thinking, gender gap in STEM, citizen science, AI applications in education. She advocates for inclusive teaching methods and uses projects like Falla Immaterial (integrating AI into art festivals) and Scientix ambassadorship to bridge science and society. Grants & Projects: Spearheads initiatives such as 'The Data in You' project aiming to demystify artificial intelligence and data science for students. Collaborates with institutions like the Spanish National Research Council (CSIC) and the Marine Stewardship Council. Labs/Teams: Works with interdisciplinary teams at the University of Valencia's ETSE and collaborates with educational centers, museums, and tech companies on outreach programs.

• Computer Graphics
• Operating Systems
• Web Information Systems
• +۳ مورد دیگر

Germán Arroyo Moreno is a Professor at the University of Granada , holding a permanent contract in the Department of Computer Languages and Systems. He is affiliated with the School of Computer Science and Telecommunications Engineering (ETSII-T). His teaching responsibilities include courses in Computer Engineering, Master's programs in Business Process Management and Technologies, and Software Development. Key teaching areas include Computer Graphics, Operating Systems, Web Information Systems, Virtual Environments, and Research Methodology. Education Programs: Bachelor's: Teaching Degree in Computer Engineering Master's: Web Information Systems - Digital Design and Advertising Master's: Information Technology 1 - Virtual Environments Master's: Introduction - Research Methodology and Innovation Research Focus: His expertise spans computer graphics, operating systems, and virtual environments, with contributions to digital design and business process management technologies. Office Hours: First semester: Thursdays/Fridays 8:30-11:30 AM; Second semester: Thursdays 8:00-2:00 PM, located in Etsiit Desp. 31 (3rd Floor).

• Computer Architecture
• Compilers
• GPUs
• +۴ مورد دیگر

Antonio González Colás is a Full Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Facultat d'Informàtica de Barcelona (FIB) and the Department of Computer Architecture. He leads the ARCO research group (Microarchitecture and Compilers) and focuses on advanced computer architecture, including GPUs, compilers, and embedded systems. In 2024, he received the ICREA Acadèmia distinction for his research on future computer systems integrating cognitive tasks and autonomous decision-making. His work emphasizes energy-efficient architectures, memory optimization, and hardware acceleration for AI and real-time applications. He holds a Doctorate in Computer Science and has over 1000+ publications, including top-tier journals and conferences. His research spans topics like GPU microarchitecture, compiler-assisted caching, DNN acceleration, and autonomous driving hardware. Major awards include the HiPEAC 2024 Paper Award and EU-funded projects under Horizon 2020. He advises numerous PhD students on topics such as point cloud processing for autonomous systems, GPU rendering optimizations, and neural network efficiency. His contributions bridge theoretical computer architecture with practical hardware-software co-design, addressing challenges in modern computing systems.

• Literary Analysis
• Narrative Studies
• Cognitive Semantics
• +۴ مورد دیگر

Daniel Candel Bormann is a full Professor (Catedrático de Universidad) in the Department of Modern Philology at the University of Alcalá. He coordinates the research group 'Multimodal and Multidisciplinary Narratives,' focusing on interdisciplinary approaches to narrative analysis. His educational background includes a PhD from the University of Alcalá (2002) with a thesis on 'The Articulation of Science in the Neo-Victorian Novel,' awarded Sobresaliente Cum Laude. Research Focus Professor Bormann's research spans literary theory, cognitive semantics, and digital methodologies. His primary interests include narrative thematics, multimodal storytelling (literature, graphic novels, film), neo-Victorian studies, and computational approaches to humanities. He has developed digital tools like 'Literatur interpretieren' (Android/iOS) and 'JustDoLit' for literary analysis. Research Projects EVOLUCION IDEOLOGICA Y TRANSFORMACIONES DEL DISCURSO LITERARIO EN LA NARRATIVA NEOVICTORIANA (FFI2011-27426, 2011-2014) LA ECOCRÍTICA: UN GIRO EN LA PERCEPCIÓN DEL MEDIO AMBIENTE DESDE LAS HUMANIDADES (2005-2007) Recuperación y estudio de expedientes de censura: novela inglesa contemporánea (2003, funded by Comunidad de Madrid) Teaching Teaches undergraduate courses in Literary Analysis of English Texts and graduate courses including 'Poetry in the Language Classroom' and 'Narration Across Media.' Publications Overview His scholarly output demonstrates consistent focus on narrative structures across media, with recent work emphasizing cognitive thematics, evil systematization in literature, and digital humanities critiques. Publications show methodological innovation through mixed-method analyses of cultural products from Pixar films to historical TV series.

Jan Graffelmanمشاهده پروفایل

استاد

• Compositional Data Analysis
• Multivariate Analysis
• Applied Statistics
• +۱ مورد دیگر

Jan Graffelman is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Facultat d'Informàtica de Barcelona and the Departament d'Estadística i Investigació Operativa. He leads the COSDA-UPC research group (COmpositional and Spatial Data Analysis) and coordinates the Doctoral Program in Statistics and Operations Research. His expertise spans compositional data analysis, multivariate analysis, applied statistics, and statistical genetics. Research focuses include genetic equilibrium testing (Hardy-Weinberg law), biplot visualization techniques, and applications in genomics and ecology. Notable contributions include methodologies for analyzing genetic markers, compositional data in precision medicine, and multidimensional scaling. Graffelman has collaborated with institutions like Barcelona Supercomputing Center and co-authored numerous high-impact publications in journals such as Heredity , Journal of Computational and Graphical Statistics , and Ecosphere . He has supervised multiple PhD students, including Iván Galván Femenía and Jordi Morales. His work integrates statistical theory with practical applications in genetics, ecology, and agriculture. Key projects include compositional methodology for family relationship inference and RNA-seq data analysis. Graffelman's academic network spans institutions globally, and he actively contributes to research projects funded by the Spanish State Research Agency and European grants. His lab develops tools for statistical analysis, including the HardyWeinberg and ToolsForCoDA R packages.

Marcelo Bertalmíoمشاهده پروفایل

پژوهشگر

• Image Processing
• Computer Vision
• Vision Science
• +۵ مورد دیگر

Marcelo Bertalmío is a Senior Research Scientist at the Spanish National Research Council (CSIC), affiliated with the Instituto de Óptica "Daza de Valdés" in Madrid, Spain. Previously, he was a Full Professor at Universitat Pompeu Fabra. His research bridges vision science, image processing, and computer vision, with significant impact in both academia and industry. His research focuses on developing accurate computational models of human vision to enhance imaging technologies. Key areas include image inpainting, high dynamic range (HDR) imaging, wide color gamut (WCG), and cinematic post-production. His work has led to practical applications in broadcasting, cinema, and consumer electronics, and he actively collaborates with industry leaders like NHK and Intel. Bertalmío's publications have garnered over 16,000 citations, and he is recognized among the world's top 2% scientists, ranking in the top 0.1% in his field. His influential paper on image inpainting introduced the term and methodology widely adopted in computer graphics and image restoration. SIAG/IS Prize of the Society for Industrial and Applied Mathematics (SIAM), 2012 Femlab Prize Siemens Best Paper Award Ramón y Cajal Fellowship ICREA Academia Award Stanford's list of the world's top 2% scientists (top 0.1% in his area) He has secured significant research funding, including an ERC Starting Grant for "Image processing for enhanced cinematography," two ERC Proof of Concept Grants for commercializing cinema post-production technologies, and in 2024, a BBVA Foundation Fundamentos Program grant to improve artificial neural networks using vision science. He has coordinated major European projects such as HDR4EU and SAUCE, involving leading industry partners. He also mentors postdoctoral researchers, with opportunities available under the MSCA Postdoctoral Fellowships 2025 call. He is actively involved in research innovation through collaborations with NHK (Japan Broadcasting Corporation), holds multiple European and Japanese patents, and contributes to the scientific community as a Senior Area Editor for IEEE Transactions on Image Processing and former secretary of SIAM’s activity group on imaging.

Sergio Casas Yrurzumمشاهده پروفایل

استاد

• Computer Science
• Artificial Intelligence
• Robotics
• +۳ مورد دیگر

Sergio Casas Yrurzum is a Professor at the School of Engineering of the Universitat de València. His research focuses on Computer Science and Artificial Intelligence , with affiliations to the Univ. Institute on Robotics and ICT (IRTIC) and multiple research groups. He completed his doctoral studies at Universitat de València in 2014, defending a thesis on "Mejoras en la Generación de Claves Gravito-inerciales en Simuladores de Vehículos no Aéreos" under the supervision of Dr. Marcos Fernández Marín. Research Groups: TADeSP (Advanced Person-Centered Software Development Techniques), ARTEC (Advanced Research and Technological Expansion in Computer Graphics), DINA (Data Interaction and Augmentation)

• Artificial Intelligence
• Explainable AI
• Computer Vision
• +۴ مورد دیگر

Antoni Jaume-i-Capó is a Professor at the Department of Mathematical Sciences and Computer Science (DMI) at the University of the Balearic Islands (UIB) since 2005. He directs the Artificial Intelligence Applications Laboratory (LAIA@UIB) and participates in the Computer Graphics, Vision, and Artificial Intelligence Unit (UGiVIA) under the Health Sciences Research Institute (IUNICS). His educational innovation work is associated with the Educational Research and Innovation Institute (IRIE). Current affiliations: University of the Balearic Islands (UIB) Research leadership: LAIA@UIB, UGiVIA, IUNICS Research Interests: His work focuses on Artificial Intelligence , particularly explainable AI (XAI) systems, Computer Vision , Vision-Based Interfaces , Human-Based Computing , Intelligent Systems for Motor Rehabilitation , and Medical Image Processing . He combines these areas to develop technologies for healthcare diagnostics, rehabilitation, and educational innovation. Recent Article Trends: His publications address sickle cell disease diagnosis through machine learning, XAI fidelity metrics , medical imaging techniques, and vision-based rehabilitation systems. Common themes include human-AI collaboration , medical diagnostics , and educational gamification . Scientific Awards Premio al mejor trabajo JENUI 2010 (Best Paper Award at JENUI 2010) Grants & Projects EXPLAINME (PID2023-149079OB-I00, 2024-2028) People4sicklemia II (OCDS-CUD2017/05, 2017-2018) EXPLAINING (PID2019-104829RA-I00, 2020-2024) European projects: HUMODAN, NEUBIAS, LUDI, EUGAIN Supervision Advised students: Ines Abdennaji, Grethel Coello Said, Natasa Petrovic, et al. Labs & Collaborations LAIA@UIB (Artificial Intelligence Applications Lab) Collaborations: Computer Vision Center (UAB), University of Florida, Rutgers University, Wrexham Glyndwr University

• Software Engineering
• Web Development
• Multimedia Systems
• +۹ مورد دیگر

Dr. Miguel Mascaró Portells is a Full Professor at the University of the Balearic Islands, affiliated with the Department of Mathematics and Computer Science. He is a member of the LTIM (Multimedia Information Technologies) research group and the UGIVIA (Graphics, Computer Vision, and Artificial Intelligence) consolidated R&D group. His academic work spans teaching, research, and technological innovation in computer science fields. Research Interests: Object-oriented programming, web languages and technologies, application servers, service-oriented architecture (SOA), multimedia content storage and presentation, language processors and APIs, mobile device programming, audiovisual geolocation systems, cloud computing and Big Data applications, home automation, and neural vision systems. Teaching: Courses include Advanced Algorithms, Programming, Final Year Projects for Computer Engineering, and Data Visualization for Economics and Business Massive Data Analysis. R&D Participation: Active involvement in R&D groups focused on multimedia technologies, computer vision, and artificial intelligence.

• Computer Science
• Artificial Intelligence
• Data Mining
• +۴ مورد دیگر

Dr. Margarita María Lourdes Miró Julià is a Full Professor at the University of the Balearic Islands in the Department of Computer Science and Artificial Intelligence. Holding a Physics degree from the University of Barcelona and a PhD in Computer Science from UIB, she has taught subjects including Statistics, Artificial Intelligence, Data Mining, and Knowledge-Based Systems across multiple engineering and mathematics programs. Education: BS in Physics (University of Barcelona), PhD in Computer Science (University of the Balearic Islands) Her research focuses on intelligent information processing, particularly through participation in two R&D groups: UGIVIA (Computer Graphics, Vision, and Artificial Intelligence Unit): A consolidated research group where she contributes to computer vision and AI projects MoDAE (Data Modeling and Statistical Learning): A research group focused on data science methodologies She has maintained continuous teaching activity over the past five years, offering courses like Calculus, Data Mining, and Statistical Learning to both undergraduate and graduate programs. Her research interests span artificial intelligence applications in data processing, statistical modeling, and computational geometry.

XOSE RAMON FERNANDEZ VIDALمشاهده پروفایل

استاد

• Computer Vision
• Image Processing
• Machine Learning
• +۵ مورد دیگر

Xosé Ramón Fernández Vidal is a Professor at the University of Santiago de Compostela, affiliated with the Department of Applied Physics within the Higher Polytechnic School of Engineering. His research focuses on Computer Vision, Image Processing, and Machine Learning, with applications in robotics, medical imaging, and environmental analysis. He holds a Doctorate from the same university (1996), specializing in geometric recognition methodologies. His work bridges computational models of visual attention and practical systems like UAV navigation, wireframe modeling for 3D reconstruction, and synthetic image generation for AI training. He is part of the Artificial Vision group at the Center for Research in Intelligent Technologies (CITIUS). Key research themes include visual saliency modeling, robust feature matching in low-textured environments, and algorithmic approaches to scene recognition. His contributions span over 40 publications since 1997, emphasizing interdisciplinary applications such as flour quality assessment via neural networks and environmental variable analysis in agricultural settings. While no formal awards are listed, his sustained output reflects impactful contributions to computational vision systems. His current projects involve developing biologically inspired vision systems (e.g., BIVSEE) and advancing datasets like Sid4vam for attention modeling. He collaborates with industry and academic partners in robotics, medical imaging, and environmental monitoring. No doctoral students are explicitly listed, though his research groups likely involve postgraduate researchers. His address is in Compostela, Galicia, Spain.

• Visual Communication
• User Experience
• E-Learning
• +۳۶ مورد دیگر

Antonio Fernández Coca is a Full Professor at the University of the Balearic Islands (UIB) in the Department of Mathematics and Computer Science, specializing in Architectural Graphic Expression. With a career spanning over three decades, he has pioneered transmedia educational strategies, integrating podcasts, YouTube channels, and MOOC courses like “A dibujar se aprende dibujando” to modernize architectural drawing pedagogy. His research focuses on the convergence of technology and creativity, particularly in user experience (UX), visual communication, and digital transformation in higher education. He has led projects such as “The speaking landscape” and “Genius - Up! Multimodal Educational Video Game” , while advocating for generational language adaptation and collaborative learning models. Doctorate in Computer Science (UIB, 2003) European Master of Arts in Image Synthesis and Computer Animation (Middlesex University, 1991) Licenciatura in Fine Arts (University of Seville, 1989) His academic output includes 15 recent publications analyzing transmedia education, digital platforms, and architectural visualization. Notable awards include the 2013 Universia/Santander Universities Award for OpenCourseWare (OCW) innovation. Current projects involve inter-university collaborations (e.g., with Universitat Rovira i Virgili) and developing digital tools for architectural drawing. His philosophy emphasizes “connecting, transforming, and inspiring” through technology-driven, student-centric methodologies.

Titouan Caretteمشاهده پروفایل

استادیار

• Quantum Computing
• Theoretical Computer Science
• Category Theory
• +۳ مورد دیگر

Titouan Carette is an Assistant Professor at École Polytechnique, affiliated with the LIX computer science laboratory and a core member of the PhiQus project—a joint Inria initiative bridging LIX (Computer Science) and CPHT (Theoretical Physics). He also contributes to the BRCP research collective, focusing on theoretical quantum computing through category-theoretic frameworks. His research centers on diagrammatic reasoning for quantum systems, specializing in string diagrams and equational theories to model quantum processes. Key contributions include advancing the ZX-calculus for quantum circuit optimization and developing graphical languages for Gaussian quantum optics, symplectic structures, and fermionic systems. Current work unifies condensed matter physics with symbolic dynamics while formalizing relational interpretations of quantum mechanics through fact-nets . Analysis of his 15 most recent publications reveals a dominant focus on scalable diagrammatic methods for quantum computing, with 70% addressing ZX-calculus extensions and quantum information foundations. His work bridges abstract category theory with practical quantum engineering, emphasizing completeness proofs and graphical simplification techniques applicable to quantum hardware design. Carette operates within École Polytechnique's Alan Turing building in Palaiseau, collaborating through PhiQus to integrate computer science and theoretical physics. His outreach efforts actively promote diagrammatic methods in quantum computing education and research communities.

• Statistical Modeling
• Mixed-Effects Models
• Data Analysis
• +۷ مورد دیگر

Jose Antonio Sanchez Espigares is a Senior Lecturer in the Department of Statistics and Operations Research at the Universitat Politècnica de Catalunya (UPC), affiliated with the Faculty of Mathematics and Statistics. He is a member of the ADBD research group (Analysis of Complex Data for Business Decisions) and has a long-standing record of research and teaching in applied statistics and data science. His research interests include: Statistical Modeling and Mixed-Effects Models Computer-Intensive Methods and Bootstrapping Environmental and Public Health Applications Urban Mobility and Transportation Analytics Business Decision Support Systems Food and Agricultural Engineering Statistics His recent publications reflect a strong trend in applying advanced statistical techniques to real-world problems, particularly in urban sustainability, environmental monitoring, and public health. He frequently collaborates on interdisciplinary projects involving soil science, epidemiology, and transportation systems. Scientific awards and recognitions include: Ajuts per al finançament de projectes per a la millora de la qualitat docent a les universitats de Catalunya (2002) Mejora del rendimiento académico de la asignatura Estadística 2 en la Facultad de Informática de Barcelona He has advised doctoral students, including Alexandra Piedad Cortez Ordoñez, and has participated in multiple competitive R&D+i projects. His work often involves collaboration with researchers in environmental engineering, computer science, and public health. While no dedicated lab is explicitly mentioned, his involvement in research groups like ADBD and LIAM indicates active participation in collaborative data science and modeling teams.