جست‌وجوی استاد و پژوهشگر

Miguel Carvajalمشاهده پروفایل

استاد

• Media Economics
• Journalism Innovation
• Business Models for Journalism
• +۵ مورد دیگر

Miguel Carvajal is a Professor of Journalism in the Department of Social and Human Sciences at the Miguel Hernández University of Elche (UMH), where he has been teaching since 2006. He directs the Master's Degree in Journalism Innovation and the Communication Research Group at UMH, and leads the "Novacult" research project funded by the Ministry of Science and Innovation. With a PhD in Communication from the University of Navarra (2006), he has built an extensive academic career focused on understanding journalism's transformation while preserving its core values. His research interests center on media economics, journalism innovation, and new business models for sustainable journalism. Carvajal has published over 64 scientific publications including 27 articles in level 1 and 2 indexed journals (JCR, SJR, Latindex), and 32 book chapters. His work appears in high-impact journals such as Digital Journalism , Journalism Practice , and El Profesional de la Información , as well as books published by Routledge, Springer, and Edward Elgar Publishing. His recent publications demonstrate a consistent focus on journalism innovation, business models, data journalism, and the organizational transformation of news media. The 15 most recent articles reveal a progression from examining specific innovations (paywalls, chatbots, podcasts) to broader analyses of journalistic ecosystems, organizational structures, and the impact of innovations across Spanish and Latin American media landscapes. His research increasingly integrates technological, economic, and sociological perspectives on journalism's evolution. Three six-year research periods granted by CNEAI (2007-2012, 2013-2018, 2019-2024) Teaching Talent Award of UMH (2018, 2020, 2022, 2024) Three five-year teaching periods recognized (2006-2011, 2012-2016, 2017-2021) Principal Investigator of the "Novacult" R&D&I project (PID 2022) UMH Research Productivity Award (2014, 2015, 2016, 2018) Carvajal has directed 54 Master's theses in the Journalism Innovation program and tutored 27 Final Degree Projects (with 3 receiving highest honors). He has directed 2 doctoral theses and is currently co-directing another. His grant portfolio includes participation in 11 competitively funded R&D&I projects, including international collaborations with European institutions. Beyond traditional academic work, he has co-founded a spin-off for implementing communication innovation systems and has provided consultancy to major media organizations including ORM (Onda Regional de Murcia) and Vocento. He leads several innovative projects including the Journalistic Innovation Ranking, the Cliché Dictionary, Data Journalists platform, and Local Data Lab. These initiatives demonstrate his commitment to transforming journalism through practical applications of research findings. His work bridges academic research with real-world journalistic practice, making significant contributions to both scholarly understanding and professional development in the field.

Juan Ramon Ordoñana Martinمشاهده پروفایل

استاد

• Psychobiology
• Twin Studies
• Genetic and Environmental Influences on Health Behaviors
• +۳ مورد دیگر

Juan Ramon Ordoñana Martin is a Professor at the University of Murcia, affiliated with the Faculty of Psychology and Speech Therapy and the Department of Human Anatomy and Psychobiology. He is a member of the Psychobiology and Neurobiology of Behavior research group and previously part of the Psicofisiologia Humana y Psicobiologia group. Education: PhD in Psychobiology from Universidad de Murcia (1997), thesis supervised by Dr. Jesús Gómez Amor, focusing on fear appeals in health communication. Research: Specializes in psychobiology, sleep quality, low back pain, and genetic/environmental influences on health behaviors. His work leverages twin studies to disentangle heritability and environmental factors in traits like sleep disorders, educational attainment, and reproductive health. Article Trends: Recent publications (2023-2025) emphasize twin-based analyses of sleep quality, diabetes epigenetics, chronotype effects, and environmental sensitivity in psychiatric conditions. Collaborations: Works with international twin registries (CODATwins Project) and leads the Murcia Twin Registry, focusing on biobanks and longitudinal data in health promotion.

• Cognitive Neuroscience
• Reading Research
• Psycholinguistics
• +۴ مورد دیگر

Ana Marcet Herranz is a Professor at the Universitat de València, affiliated with the Faculty of Teacher Training and the Department of Language and Literature. Her academic focus lies in the Didactics of Language and Literature, with a strong emphasis on cognitive and neurological aspects of reading. Her research interests bridge education and cognitive science, particularly in understanding how individuals access abstract linguistic representations during visual word recognition. This work is central to improving literacy instruction and understanding reading disorders. She is an active member of the READit research group, which investigates cognitive neuroscience and reading, and was previously associated with the GIEL Research Group in the Teaching of Languages. Her doctoral training was completed at the Universitat de València in 2018, under the supervision of Dr. Manuel Perea Lara. While no scientific awards or publications are listed in the current data, her profile indicates engagement in interdisciplinary research connecting pedagogy, language acquisition, and brain processes involved in reading.

Ignacio Cascos Fernandezمشاهده پروفایل

دانشیار

• Multivariate Analysis
• Probability Theory
• Data Depth
• +۷ مورد دیگر

Ignacio Cascos Fernandez is an Associate Professor at the Department of Statistics, School of Engineering, Carlos III University of Madrid. His research focuses on Multivariate Analysis (depth functions, multivariate quantiles) and Probability Theory (stochastic orders, random sets, financial risk measures). Key Research Areas Multivariate analysis with emphasis on data depth and quantiles Probability theory involving stochastic orders and random sets Applications to financial risk modeling and statistical process control Notable Awards IASC ERS Young Researchers Award (2006) Elected member of the International Statistical Institute (2008) PhD Supervision Advised José Manuel Cueto (2021) on multifactor models for equity returns Advised Maicol Ochoa (2022) on expectiles and multivariate analysis Recent Projects Developed data depth methodologies for biological age prediction Created statistical tools for complex data in finance and real estate analysis

• Survival Analysis
• Spatiotemporal Modeling
• Mixed Models
• +۵ مورد دیگر

Maria Antonia Barcelo Rado is a Professor in the Department of Economics at the University of Girona , where she has been a full professor since 2003. She obtained her Mathematics degree from the Autonomous University of Barcelona (1995) and PhD in Mathematics from University of Girona (2001), with ANECA accreditation since 2018. Her academic activities include teaching statistics and econometrics at the Faculty of Economic and Business Sciences , plus serving as a visiting professor at Pompeu Fabra University (2004-2005) and teaching collaborator at Open University of Catalonia since 2005. Education : Mathematics Degree (UAB, 1995) PhD in Mathematics (UdG, 2001) ANECA Accreditation (2018) Her research focuses on methodological developments in survival analysis, spatiotemporal modeling, mixed models, and Bayesian statistics, combined with applied research in clinical epidemiology (ALS, cardiovascular risk), environmental epidemiology, health inequalities, and cancer epidemiology. She leads Real World Data initiatives through the Alt Empordà Health & Social Observatory and contributes to epidemiological modeling of pandemics and chronic diseases. Recent publications demonstrate her expertise in environmental health impacts (air pollution, heatwaves), statistical methodology (compositional regression, spatiotemporal modeling), and health policy analysis (vaccination inequities, chronic disease management). She maintains active collaborations with CIBERESP , CRES , and clinical research units in Barcelona and Girona.

Jose A. Ruiperez Valienteمشاهده پروفایل

دانشیار

• Computational Social Science
• Educational Technology
• Cyberdefence
• +۳ مورد دیگر

Jose A. Ruiperez Valiente is an Associate Professor at the Information and Communications Engineering Department of the University of Murcia. His academic journey includes a B.Eng. and M.Eng. in Telecommunications, followed by an M.Sc. and Ph.D. in Telematics from UC3M, with research conducted at IMDEA Networks. He completed research stays at MIT and the University of Edinburgh, and a postdoc at MIT Teaching Systems Lab/Playful Journey Lab. He has held academic appointments at Complutense University of Madrid and industry roles at Multimedia Vocento, Accenture, and ExoClick. Current role: Associate Professor, University of Murcia Previous institutions: UC3M, IMDEA Networks, MIT, University of Edinburgh, Complutense University of Madrid Industry experience: Multimedia Vocento, Accenture, ExoClick His research focuses on computational social science, educational technology, cyberdefence, and data science. Key methodologies include learning analytics, game-based assessment, and serious games for skill evaluation. Recent publications analyze trends in educational technology, develop frameworks for game-based assessments, and explore disinformation detection. His work combines machine learning with educational innovation, particularly in stress detection and competency evaluation through biometric data. Scientific awards include: BBVA Award as Outstanding Young CS Researcher Humboldt Research Fellowship He has co-authored over 100 publications with 2100+ citations and participated in 20+ funded projects like DEFENDER, SEMANTIC, and EU-GUARDIAN, focusing on cybersecurity training and decentralized AI systems.

• Compositional Data Analysis
• Multivariate Statistical Analysis
• Data Fusion Methods
• +۵ مورد دیگر

Daunis i Estadella, Pepus is an Associate Professor in the Department of Computer Science, Applied Mathematics and Statistics at the University of Girona, where he is also the Vice-Rector for Quality and Transparency since December 2017. He is a core member of the recognized research group GR-EADC (Research Group in Statistics and Compositional Data Analysis), supported by the Catalan government. His research interests include: Compositional Data Analysis Data Fusion Methods Multivariate Statistical Analysis Applications in Medical Imaging, Radiology, and Public Health Statistical Methodology in Geology and Archaeology The recent articles reflect a strong trend in applying advanced statistical techniques—particularly compositional data analysis and data fusion—to interdisciplinary domains such as healthcare, consumer behavior, geosciences, and archaeology. His work emphasizes methodological innovation and real-world application, especially in integrating heterogeneous data sources and improving multivariate analysis in medical and social contexts. Scientific contributions and recognitions include: Active publication in high-impact journals like Computational Statistics & Data Analysis and American Journal of Neuroradiology ORCID: 0000-0001-6134-9255 Researcher ID: B-9082-2011 Scopus Author ID: 14041287900 He has supervised various research projects and played key administrative roles, including former Coordinator of University Access Exams (PAU) and departmental secretary. He has contributed significantly to academic governance and statistical education. His work bridges theoretical statistics with practical applications across health, engineering, and social sciences. He is affiliated with the Grup de Recerca en Estadística i Anàlisi de Dades Composicionals (GR-EADC), a consolidated research team focused on advancing statistical methods for compositional and multivariate data.

• Biomedical Data Science
• Electronic Health Records
• Data Quality
• +۳ مورد دیگر

Carlos Sáez is an Associate Professor and Biomedical Data Science Researcher at Universitat Politècnica de València, Spain. He is affiliated with the Biomedical Data Science Lab (bdslab-upv) where he conducts research on biomedical data analysis and quality assessment. His research interests focus on Biomedical Data Science , particularly in the areas of Electronic Health Records analysis, data quality assessment, and handling dataset shifts across multiple data sources. His work addresses challenges in biomedical data variability, with applications in public health and clinical informatics, developing metrics like Source Probabilistic Outlyingness (SPO) and Global Probabilistic Deviation (GPD) for measuring data heterogeneity. Dr. Sáez has contributed to developing several open-source tools for biomedical data analysis, including the EHRsourceVariability package for measuring and visualizing biomedical data heterogeneity across data sources, the EHRtemporalVariability package for delineating temporal dataset shifts, and the trustworthy-ai framework for developing trustworthy health AI systems with tutorial notebooks. Notable Publications: His work has been published in Statistical Methods in Medical Research and the Journal of the American Medical Informatics Association Research Impact: His methodologies help detect anomalous data behaviors, identify similar data source groups, and assess concordance among different biomedical data repositories

• Computer Vision
• Mobile Devices
• Assistive Technology
• +۳ مورد دیگر

Dr. Juan Manuel Sáez Martínez is a full professor in the Department of Computer Science and Artificial Intelligence at the University of Alicante's Higher Polytechnic School II. With a PhD in Computer Engineering and over two decades of academic experience since 2000, he specializes in Computer Vision and Mobile Device Applications for accessibility, particularly for the blind and visually impaired. His groundbreaking NaviLens project—a digital signage system patented internationally by the University of Alicante and licensed to Neosistec SL—represents a significant contribution to assistive technology. Teaching experience across 15+ years in programming fundamentals, computer systems, and internships for telecommunications and multimedia engineering Supervised one PhD thesis on structural similarity in object recognition Active in public research projects including airport navigation systems and airborne obstacle detection for the visually impaired His research interests focus on computer vision algorithms , stereo-based wearable devices , and ultra-efficient artificial vision systems for mobile platforms . Recent work includes biomedical informatics applications like 3D obstacle detection and accessibility-oriented UI design. He has participated in 10+ competitive public research projects (2016-2021) while contributing to technology transfer initiatives. Teaching contributions include 4 quinquennials (five-year terms) and 14+ years of instruction in Programming Fundamentals I for Telecommunication Sound and Image Engineering. Notable collaborations include co-authorship with Dr. F. Escolano on entropy-based SLAM algorithms and Gaussian mixture models for image processing. Current research emphasizes practical applications through the Mobile Vision Research Laboratory (MVRLab) .

• Environmental Education
• Teacher Training
• Sustainability Education
• +۳ مورد دیگر

Fátima Rodríguez Marin is a Researcher at the Department of Education and Social Psychology within the Faculty of Educational Sciences at the University of Seville. Her work bridges environmental science, teacher education, and sustainability practices, with a focus on innovative pedagogical approaches for early childhood and primary education. Her academic foundation includes a Doctorate from the University of Seville (2011) with the thesis Environmental Education for Citizen Action: Conceptions of Trainee Teachers on the Energy Problem , supervised by Dr. José Eduardo García Díaz. Dr. Rodríguez Marin specializes in environmental literacy development through eco-didactic gardens, degrowth theory integration, and digital tools like Instagram visual diaries. Her research critically examines how sustainability concepts can be embedded in teacher training curricula to address socio-ecological crises. She advocates for pedagogical shifts that move beyond conventional sustainability toward resilience-focused education in the context of ecological decline. Analysis of her recent publications reveals a dominant focus on practical applications of environmental education in early childhood settings, particularly through school gardens and sustainable food systems. Her work increasingly integrates digital methodologies and international collaborations (notably with Colombian institutions), while maintaining a strong theoretical grounding in degrowth principles and complex systems thinking. The interdisciplinary nature of her research connects education, environmental science, and social innovation. No scientific awards were documented in the available information. While her publications indicate active supervision of academic theses and participation in educational research projects, specific details about student advising or grant funding were not explicitly stated in the source materials. Her collaborative work with the Network of Cultivated Universities suggests involvement in institutional sustainability initiatives. She is actively engaged with the Network of Cultivated Universities (Red de Universidades Cultivadas), contributing to collective projects like the Manifesto of University Eco-Didactic Gardens. Her research team develops community-based sustainability projects centered on permaculture gardens, vertical farming systems, and food security initiatives that integrate academic training with community outreach in Seville and Bogotá.

• Economic History
• Institutional Economics
• Gender Economics
• +۴ مورد دیگر

Daniel Oto Peralias is a Professor in the Department of Economics, Quantitative Methods and Economic History at Universidad Pablo de Olavide (UPO), specializing in Fundamentals of Economic Analysis. He actively contributes to the Macroeconomics, Labor and Public Economics (MLPE) research group within the Social and Legal Sciences area, focusing on interdisciplinary economic research spanning historical and contemporary contexts. Dr. Peralias earned his doctorate from UPO in 2014 with the thesis Essays on colonialism, institutions and legal traditions , supervised by Dr. Diego Romero de Ávila Torrijos. His academic foundation combines rigorous quantitative methods with deep historical analysis. His research integrates Economic History , Institutional Economics , and Gender Economics to examine how historical events like colonialism and warfare shape modern economic geography, inequality, and social capital. Recent work investigates gender representation through urban street naming practices across Europe and the US, while earlier studies analyze land concentration in renewable energy projects and the spatial distribution of population in Spain. His methodology consistently employs spatial and historical data to reveal institutional legacies in contemporary policy outcomes. Analysis of his 15 most recent publications reveals a clear trajectory: 2022-2024 works center on urban gender studies and commemorative policies, with street naming as a cultural indicator. Pre-2020 research focuses on historical frontiers , colonialism, and legal traditions, demonstrating how medieval conquests and institutional frameworks influence current economic disparities. A unifying thread is the use of municipal-level data to trace persistent effects of historical shocks on social capital and regional development. No scientific awards were documented in the source materials. As a professor at UPO, Dr. Peralias engages in academic advising and research supervision, though specific student names are not provided in available records. His work within the MLPE group generates policy-relevant insights without explicit mention of external grant funding in the current documentation. Dr. Peralias is an integral member of the Macroeconomics, Labor and Public Economics (MLPE) research group, where he collaborates on projects examining labor market dynamics, public finance mechanisms, and long-term economic development patterns through historical and spatial lenses.

Ana Puig Puigمشاهده پروفایل

استاد

• Gamification in Education
• Serious Games
• 3D Point Clouds
• +۹ مورد دیگر

Dr. Anna Puig Puig is a Professor at the University of Barcelona, affiliated with the Faculty of Mathematics and Computer Science within the Department of Mathematics and Computer Science. Her research focuses on gamification in education, 3D point cloud processing, data visualization, and biomedical applications of computer science. Key research areas include: Gamification and serious games for education 3D point cloud segmentation and analysis Machine learning applications in geospatial and biomedical domains Interactive visualization systems Virtual reality for archaeological and educational purposes Notable projects include: INDOMAIN - Pedagogical Module in Intelligent Tutoring Systems HORIZON 2020 European Cancer Image Platform GRAPES - Machine Learning for Shape Processing CLiC Research Group in Language and Computing Digital Reconstruction of Neolithic Social Life

• Artificial Intelligence
• Machine Learning
• Recommender Systems
• +۶ مورد دیگر

Maria Salamo Llorente is an Associate Professor and researcher in the Department of Mathematics and Computer Science at the University of Barcelona (UB) . She leads the Teaching Innovation Group 'Innovació Docent en Matemàtiques i Informàtica' and is a core member of the Language and Computation Center (CLiC-UB) . Her career spans from postdoctoral work at University College Dublin to extensive contributions in artificial intelligence.

Juan José Martín Garcíaمشاهده پروفایل

استاد

• Economic History
• Spanish Economic History
• Social History
• +۲ مورد دیگر

Dr. Juan José Martín García is a Professor of Contemporary History at the Universidad de Burgos , Faculty of Humanities and Communication. He specializes in economic history, social history, and emigration research, with particular focus on Castile's industrial heritage and rural-urban dynamics. Key research areas: Textile industry, population studies, rural economics Active in online teaching for History, Spanish Language, and Political Science degrees His article trends show deep engagement with Castile's socio-economic transformations, including textile manufacturing (1720-1939), rural press (1866-1936), and Guardia Civil infrastructure (1844-1936). Notable works examine population underreporting in 19th-century Burgos and the survival of pre-industrial economic practices.

• Computer Science
• Parallel Computing
• Embedded Systems
• +۳ مورد دیگر

Represa Pérez, César is a faculty member at the University of Burgos , affiliated with the School of Engineering . He has contributed extensively to computer science, parallel computing, and embedded systems through research articles, educational materials, and conference presentations. Education: Doctorate in Parallel & Hybrid Programming (2002). Research Areas: Parallel computing (MPI/CUDA), 3D virtual labs, sensor technology, Android applications, and embedded systems design. Key Collaborations: Co-authored works with José María Cámara Nebreda, Pedro L. Sánchez Ortega, and others on technical education and hardware-software integration. Recent Trends: Focus on smartphone-driven sensors, additive manufacturing monitoring, and educational tools for engineering students.