جست‌وجوی استاد و پژوهشگر

Laura Bolaños Gómezمشاهده پروفایل

پژوهشگر

• E-commerce
• Behavioral Economics
• Cyberpsychology
• +۲ مورد دیگر

Laura Bolaños Gómez is a full-time pre-doctoral researcher at the Faculty of Economics, Camilo José Cela University (UCJC), actively pursuing her PhD in Economics while teaching across multiple undergraduate programs. Her academic journey spans international relations, business administration, and digital commerce disciplines. Her educational qualifications include: Degree in International Relations (2006) Bachelor's Degree in International Trade (2008) Master in Business Administration and Management (2013) International Master's Degree in Business Creation and Acceleration (2015) Executive Program in Electronic Commerce (2016) Her research integrates e-commerce systems with behavioral economics and cyberpsychology, specifically examining data-driven interventions to improve outcomes for girls and minorities. This interdisciplinary approach combines quantitative analysis with social impact frameworks. Professionally, she leverages corporate experience from Dell and Fujitsu where she led customer experience teams as a Sense and Respond Captain, optimizing incident resolution processes. At UCJC, she delivers instruction in Creative Advertising, Entrepreneurship and Business Management, Business and Technology, and Audiovisual Communication programs. She maintains active community engagement through technical collaboration with R Ladies Madrid and educational volunteering for ERASMUS and ERASMUS+ initiatives, demonstrating commitment to both technological advancement and social inclusion.

María José Carreira Noucheمشاهده پروفایل

استاد

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

María José Carreira Nouche is a Full Professor of Computer Science and Artificial Intelligence at the University of Santiago de Compostela (USC), where she serves as coordinator of the Computer Science and Artificial Intelligence area and as academic secretary of the USC-Plexus Chair of AI applied to Personalized Precision Medicine (CAMELIA). She is also a Senior Researcher at CiTIUS (Centro singular de investigación en tecnoloxías da información e as comunicacións da USC) and a member of the Board of Directors of the Spanish Association of Shape Recognition and Image Analysis (AERFAI). Her research focuses on intelligent medical image processing across multiple medical specialties including radiology, ophthalmology, oncology, neurology, dentistry, and pediatrics. She has participated in over 30 R&D&I projects, serving as principal investigator on more than 15 projects, and has published over 90 scientific papers. Her work bridges computer vision, machine learning, and clinical applications, with recent emphasis on dental imaging and oral microbiome analysis. Her research has resulted in several software tools including ZFTool for oncology (zebrafish cancer analysis), ICBrain for neurology (tumor volume measurement), and the Dentius suite (Dentius_Plaque, Dentius_Biofilm, and Dentius_Age) for dental applications. More recently, she has developed PrimerEvalPy and MicroMetaEvaluator for oral microbiome analysis using machine learning techniques. Current research projects include clinical metagenomics for salivary microbiome analysis, identification of molecular biomarkers for periodontitis, and antibacterial efficacy trials of dental products. Her work demonstrates a clear trajectory from foundational computer vision techniques to sophisticated AI applications in precision medicine. Advances in clinical metagenomics: predictive capability of the salivary microbiome using machine learning for diagnosis of oral and systemic diseases (2025-2027) Identification of new molecular biomarkers for untreated periodontitis (2022-2026) Gel_ClorheCyme_Oral: Antibacterial efficacy of chlorhexidine and cymenol gel (2021-2023) LOBSTERPOT: Lobular Breast Cancer research (2020-2024) As an academic leader, she previously served as deputy director of the School of Engineering (2008-2012), assistant to the Vice-Chancellor of Studies and Educational Innovation (2015-2017), and Rector's Commissioner for ICT Governance and Degree Strategy (2017-2018). Her GitHub repositories (ZFTool and DenTiUSBiofilm) demonstrate her commitment to open science and reproducible research in medical image analysis.

Paulo Félix Lamasمشاهده پروفایل

استاد

• Machine Learning
• Biomedical Signal Processing
• Probabilistic Reasoning
• +۳ مورد دیگر

Paulo Félix Lamas is a Full Professor at the University of Santiago de Compostela (USC), specializing in Computer Science and Artificial Intelligence. He obtained his PhD in Physics from USC in 1999 and became an Associate Professor in 2002. As a foundational leader of CiTIUS (Research Centre in Intelligent Technologies), he served as Head (2010–2019) and Deputy Director (2019–2020). His research focuses on probabilistic learning , temporal abductive reasoning , and biomedical signal interpretation . Key applications include ECG analysis, glucose monitoring, and AI-driven healthcare solutions. His work bridges machine learning with clinical diagnostics, emphasizing interpretability and real-time systems. Recent publications (2015–2024) demonstrate interdisciplinary innovation, spanning: Healthcare AI : Personalized drug dosing, arrhythmia detection, and continuous glucose monitoring. Computational methods : Stochastic embeddings, kernel-based missing data handling, and adaptive clustering. Theoretical advances : Abductive reasoning frameworks for time-series interpretation. He leads major projects like: SOSFood (2024–2028): AI for sustainable food systems. XAI4SOC (2022–2025): Explainable AI for healthy aging. INSIDE (2022–2024): Predictive cardiac rehabilitation. At CiTIUS, he directs research on intelligent healthcare technologies, integrating sensor data with machine learning for chronic disease management.

Roberto Iglesias Rodríguezمشاهده پروفایل

دانشیار

• Machine Learning
• Robotics
• Continual Learning
• +۶ مورد دیگر

Roberto Iglesias Rodríguez is an Associate Professor at the University of Santiago de Compostela, Spain, with a focus on robotics and machine learning. He holds a B.S. and Ph.D. in Physics from the same institution (1996, 2003). His work addresses lifelong robot learning, federated learning, and deployment of intelligent systems in heterogeneous environments. Current affiliation: University of Santiago de Compostela Academic rank: Associate Professor Education: B.S. and Ph.D. in Physics (1996, 2003) His research spans robotics, machine learning, and sensor fusion , emphasizing adaptive algorithms for non-IID data, concept drift, and real-time environmental interaction. Projects include service robots learning from humans, distributed control architectures, and federated learning strategies. Recent publications analyze continual learning , scene recognition , and human-robot collaboration . Key themes: robust navigation, multi-sensor systems, and explainable AI.

• Rehabilitation Robotics
• Exoskeleton Design
• Stroke Rehabilitation
• +۴ مورد دیگر

Andrea Blanco Ivorra serves as Assistant Professor in the Department of Materials Science, Optics and Electronic Technology at Miguel Hernández University of Elche, where she teaches Strength of Materials across Electrical, Electronic, and Mechanical Engineering programs. She holds the position of Chair Secretary for the Chair of Advanced Technologies for Rehabilitation, focusing on developing innovative rehabilitation technologies. Her research centers on rehabilitation robotics and neuroengineering, with emphasis on exoskeleton design for upper limb motor rehabilitation, stroke recovery, and assistive technologies for aging populations. She integrates EEG monitoring, biomechanical analysis, and machine learning to create intelligent systems that enable longitudinal assessment and adaptive therapy protocols. Her work bridges clinical rehabilitation with engineering innovation to improve motor function outcomes. Recent publications reveal a cohesive research trajectory in developing and validating robotic rehabilitation systems, with particular focus on home-based solutions, brain-computer interfaces, and personalized therapy adaptation. Her 2024-2025 output demonstrates strong interdisciplinary collaboration across neuroscience, mechanical engineering, and gerontechnology, with consistent emphasis on practical clinical implementation and user-centered design. Dr. Blanco Ivorra's affiliation with the Chair of Advanced Technologies for Rehabilitation drives her work in translating engineering innovations into real-world rehabilitation applications, particularly through the ROAD tele-rehabilitation platform and bimanual exoskeleton systems for daily living assistance.

• Statistical Mechanics
• Telecommunications
• Nanomaterials
• +۶ مورد دیگر

Dr. Mario Castro Ponce is a Professor at the Escuela Técnica Superior de Ingeniería (ICAI) , Universidad Pontificia Comillas, where he has worked for 28 years. He holds a Ph.D. in Physics from Universidad Complutense de Madrid and serves as a Visiting Professor at the University of Leeds since 2016-2017. His research bridges Statistical Mechanics with applications in Complex Systems , Biophysics , and Epidemiology , with a focus on modeling experimental data through analytical and computational methods. Education: Ph.D. in Physics, Universidad Complutense de Madrid B.S. in Physics, Universidad Complutense de Madrid Research Themes: Statistical mechanics of complex systems Ion-beam nanopatterning Theoretical immunology Wildfire dynamics Biofluid microrheology Machine learning in social science Publications (89+ peer-reviewed) span interdisciplinary topics, including: SARS-CoV-2 geometry and T-cell receptor dynamics Non-Newtonian blood flow modeling Wildfire risk assessment via Bayesian networks Viscoelastic thermosyphon systems Complex pattern formation in biological and physical systems Funding includes 6 principal investigator projects for Spain's Ministry of Science and participation in 3 EU Horizon 2020/Marie Skłodowska-Curie actions. His work has been cited over 2000 times.

Maria Asuncion Romero Diazمشاهده پروفایل

استاد

• Soil Erosion
• Land Abandonment
• Hydrological Processes
• +۴ مورد دیگر

Maria Asuncion Romero Diaz is a Professor at the Department of Geography, Universidad de Murcia, specializing in environmental processes in semiarid regions. She leads the IMPRHAS research group and contributes to understanding soil erosion, land abandonment, and climate change impacts in Mediterranean ecosystems. Main affiliations: IMPRHAS (Research and Modeling of Hydrological and Environmental Processes in Semi-Arid Environments), Soil Science and Technology, Eroderme (Erosion, Desertification in the Mediterranean) Her research focuses on soil degradation , desertification , and land use dynamics in southern Europe and Mexico. Recent work applies machine learning to hydrological modeling and evaluates soil sealing's urban climate effects. Article trends show emphasis on machine learning for environmental modeling, soil sealing impacts on urban climates, volcanic eruption monitoring , and policy-driven erosion mitigation . Many studies integrate GIS and remote sensing for land use analysis. She collaborates with institutions like the Environmental Planning Department (CIDE) and participates in projects such as EroHondo, which assesses aeolian erosion's impact on air quality. Her work bridges physical processes with socioeconomic dimensions of land management.

• Aquatic Ecology
• Biofilm Dynamics
• Microbial Interactions
• +۵ مورد دیگر

Anna Maria Romani Cornet is a Professor in the Department of Environmental Sciences at the University of Girona , where she leads the Aquatic Ecology Research Group (EcoAqua) and participates in the Institute of Aquatic Ecology . Her work bridges Ecology , Biogeochemistry , and Climate Change Research , with a focus on microbial processes in aquatic and terrestrial systems. Her research explores biofilm dynamics across Mediterranean rivers , hypersaline lakes , high-mountain acidic rivers , and soils . Key areas include Microbial interactions in organic matter cycling Climate change impacts on ecosystem function Hydrological intermittency effects Biogeochemical responses to stressors Recent publications highlight her work on aridity-driven soil functions , light-dark regulation of biofilm nutrient uptake , and microbial adaptation to extreme environments . Her 2025 article Women, Water, and the Climate Emergency integrates ecofeminism with scientific research , emphasizing societal engagement. She mentors extensively, having supervised 9 PhD students 12 MSc theses 7 postdoctoral researchers and regularly hosts Erasmus students . Her administrative roles include past Vice-Dean for International Relations and coordination of the Doctoral Program in Water Science and Technology .

• Limnology
• Zooplankton Ecology
• Aquatic Ecosystems
• +۳ مورد دیگر

Anna Badosa Salvador is an Associate Professor at the Department of Biosciences, Universitat de Vic - Universitat Central de Catalunya (UVic-UCC), with extensive research experience in Limnology and Zooplankton Ecology of Mediterranean aquatic ecosystems. She specializes in Aquatic Ecosystem Restoration , Biodiversity Conservation , and Environmental Impact Assessment . Institutional Affiliation : UVic-UCC and previously University of Girona Research Network : Institute of Aquatic Ecology Research Interests focus on understanding: Ecological dynamics of Mediterranean coastal lagoons and temporary ponds Mechanisms governing zooplankton diversity and community assembly Effects of hydroperiod , nutrient composition , and predation on aquatic systems Applications of size-based ecology for environmental assessment Research Trends show consistent work across Ecological Restoration of wetlands and lagoons Community Ecology through taxon and size-based approaches Environmental Toxicology studies on Microtox® effects Climate Change Impacts via comparative studies Scientific Contributions include 15 peer-reviewed publications (2004-2024) 6 research grants as principal investigator 2 book chapters on Mediterranean wetlands Teaching & Mentorship encompasses Doctoral thesis supervision (2020-2024) Project-based learning methodology development 14 continuing education activities in aquatic ecology

• Information Systems
• Tourism Technology
• E-learning
• +۳ مورد دیگر

Eugenio José Fernández Vicente is a researcher at the University of Alcalá within the Department of Computer Languages and Systems , focusing on IT governance, tourism technology, and e-learning systems. His work spans practical implementations of ITIL, IT infrastructure management, and predictive analytics for tourism sectors. Research Pillars : IT governance frameworks (ITIL, COBIT, EFQM), tourism demand forecasting, e-learning platforms, and telecom security. Advising : Directed four doctoral theses on topics like hydrocarbon distribution optimization, IT outsourcing, and educational interoperability. Publications : Authored 4 journal articles, 17 collective work contributions, and 4 books, including El gobierno y la gestión de las TIC (2009).

Ana Belén Gil Gonzálezمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Educational Technology
• Data Mining
• +۴ مورد دیگر

Ana Belén Gil González is an Associate Professor in the Department of Computer Science and Automation at the University of Salamanca, Spain. She is affiliated with multiple research groups including BISITE (Bioinformatics, Intelligent Computer Systems and Educational Technology), CAUSAL (Academic Culture, Heritage and Social Memory), and MIDA (Data Mining). Her work spans across artificial intelligence, educational technology, blockchain applications, and intelligent systems. Dr. Gil González earned her PhD from the University of Salamanca in 2011 with a thesis on "Intelligent Recovery of Digital Educational Content," supervised by Dr. Juan Manuel Corchado Rodríguez and Dr. Sara Rodríguez González. Her research interests focus on applying artificial intelligence and data mining techniques to solve real-world problems. She has made significant contributions to educational technology, developing intelligent systems for digital content retrieval and personalized learning. In healthcare, she has worked on AI applications for medical diagnosis, including breast cancer prediction and Papanicolaou test analysis. Her work in blockchain technology addresses applications in supply chain management and smart cities with a focus on privacy preservation. Additionally, she has explored therapeutic robotics through projects like i-Teddy, which uses doll therapy to improve human interaction. Analysis of her recent publications (2022-2024) reveals a strong interdisciplinary approach with work spanning healthcare AI, educational technology, blockchain applications, and therapeutic robotics. Her research shows increasing focus on explainable AI in medical applications, privacy-preserving technologies for smart cities, and innovative approaches to educational technology. She maintains an active collaboration network across multiple research groups at the University of Salamanca. Dr. Gil González is actively involved in mentoring through her teaching and research supervision. Her extensive publication record across diverse domains suggests successful funding acquisition for her research projects. She is a key member of the BISITE research group, which focuses on bioinformatics, intelligent computer systems, and educational technology. Her work with the CAUSAL group explores academic culture and social memory, while her involvement with MIDA centers on data mining applications. These collaborative environments provide rich interdisciplinary contexts for her research across technology, education, and social applications.

• Geometry processing
• Massive model rendering
• Procedural generation
• +۴ مورد دیگر

Antonio Chica is an Associate Professor at the Department of Computer Science, Universitat Politècnica de Catalunya (UPC), specializing in geometry processing, real-time rendering, and virtual reality applications. His research focuses on 3D reconstruction, procedural landscape generation, and LiDAR data optimization. Teaching at Terrassa School of Engineering and Barcelona School of Informatics Member of the Modeling, Visualization, Interaction and Virtual Reality Group Key research areas include: Geometry processing techniques for signed distance fields Procedural generation of 3D landscapes and vegetation Game development frameworks and VR training systems Efficient algorithms for massive point cloud rendering His recent publications emphasize Bayesian reconstruction methods, adaptive SDF approximations, and optimized VR training tools. He actively collaborates on LiDAR data calibration, terrain modeling, and cultural heritage visualization projects. Antonio Chica's work integrates advanced graphics algorithms with practical applications in urban modeling, medical training, and historical preservation. He develops open-source tools like MeshPipe to simplify geometry processing workflows.

Imanol Munoz-Pandiellaمشاهده پروفایل

استادیار

• Computer Graphics
• Cultural Heritage
• 3D Reconstruction
• +۴ مورد دیگر

Imanol Munoz-Pandiella is an assistant professor in the Computer Science Department at Universitat Politècnica de Catalunya – BarcelonaTech (UPC) and a core member of the ViRVIG research center . His work bridges computer graphics and cultural-heritage science, with a focus on 3-D reconstruction, appearance modeling, and interactive visualization of historical artefacts. Education Ph.D. in Computer Graphics (2017) – joint programme between Université de Limoges and Universitat de Girona (supervisors: Stéphane Mérillou, Xavier Pueyo, Carles Bosch, Nicolas Mérillou) Pre-doctoral stay – Yale University (supervisor: Holly Rushmeier) Research Interests Dr Munoz-Pandiella investigates the intersection of Computer Graphics and Cultural Heritage . Current themes include: Appearance change and weathering analysis in architectural heritage High-fidelity 3-D reconstruction from sparse data Interactive narrative frameworks for 4-D (time-varying) heritage models Physically-based rendering and differentiable inverse rendering Color constancy and illumination-robust imaging for conservation science Publication Landscape His 2024–2025 output is dominated by 4-D cultural-heritage visualization , digital restitution of lost or weathered artworks , and real-time rendering techniques . Earlier work (2021–2022) concentrated on LiDAR intensity correction and neural colorization . Collectively, these publications map onto broad disciplines of Computer Graphics , Computer Vision , and Digital Heritage , with sub-fields spanning differentiable rendering, mural-painting restoration, and interactive 3-D exploration. Scientific Awards & Grants Assistant Professor position award – UPC, 2023 Post-doctoral fellow award – DTIC, Universitat Pompeu Fabra, 2023 Participant and grantee – European Cloud for Heritage OpEn Science (ECHOS), 2024 Service & Leadership Program Chair, CEIG 2026 (with Elena Garces) Program Co-Chair, Web3D 2023 Guest Editor, Computers & Graphics special issue on Web3D 2023 Program Committee member, CEIG 2023 Laboratory & Collaborations Dr Munoz-Pandiella conducts his research within the ViRVIG research center at UPC, collaborating closely with cultural-heritage stakeholders across Europe. His interdisciplinary teams integrate art historians, conservation scientists, and graphics engineers to deliver open-source tools and datasets for heritage documentation and dissemination.

Ariane Diaz Isoمشاهده پروفایل

پژوهشگر

• Service-learning methodology
• Extracurricular activities in higher education
• Gender discrimination in education
• +۵ مورد دیگر

Ariane Diaz Iso is a Researcher at the University of Deusto, affiliated with the Faculty of Education and Sports in the Department of Education. She has established herself as a prominent scholar in educational research, particularly focusing on service-learning methodologies and extracurricular activities in higher education. Her research interests span service-learning methodology, extracurricular activities in higher education, gender discrimination in education, educational assessment, language and literature teaching, reading competence, and reflective learning for sustainability. Diaz Iso approaches education from a holistic perspective that integrates humanism and sustainability principles into her work. Analysis of her publication record reveals a strong emphasis on service-learning applications across various educational contexts, with particular focus on institutionalization processes, intergenerational learning, and the connection between theory and practice. Her work often employs qualitative methodologies and systematic review approaches to examine educational practices and student experiences. Her research demonstrates consistent productivity with publications spanning from 2019 to 2025, showing progression from foundational work on extracurricular activities to more recent contributions on AI applications in education and spiritual dimensions of service-learning. Ariane Diaz Iso collaborates extensively with colleagues at the University of Deusto, particularly with researchers like Aláez Martínez, Eizaguirre Zarza, and Barrenetxea Minguez, indicating strong institutional research networks focused on educational innovation and service-learning implementation.

Noemi Anau Montelمشاهده پروفایل

پژوهشگر ارشد

• Astrophysics
• Cosmology
• Particle Physics
• +۴ مورد دیگر

Noemi Anau Montel is a postdoctoral research fellow at the Max Planck Institute for Astrophysics in Garching, Germany. Her work spans astrophysics, cosmology, and particle physics, focusing on developing probabilistic machine learning techniques for analyzing astrophysical datasets. Research interests include: Simulation-based inference for dark matter studies Generative modeling in cosmological simulations Statistical analysis of high-energy astrophysical data Neural ratio estimation techniques Applications to gravitational lensing and dark Universe problems She has published extensively on machine learning applications in astrophysics, with recent works focusing on dark matter mass constraints, cosmological initial condition reconstruction, and model validation techniques.