جستجوی استاد راهنمای دانشگاهی

Edouard Schaalمشاهده پروفایل

استاد پژوهش

• Macroeconomics
• Labor Markets
• Search and Matching
• +۳ مورد دیگر

Edouard Schaal is an ICREA Research Professor at the Centre de Recerca en Economia Internacional (CREI), Adjunct Professor at Universitat Pompeu Fabra (UPF), and Associate Research Professor at the Barcelona School of Economics (BSE). He is also a Research Affiliate of the Center for Economic Policy Research (CEPR). His editorial roles include serving as Associate Editor at the Economic Journal and editorial board member at the Review of Economic Studies , following prior editorship at the Review of Economic Dynamics . He holds a PhD in Economics from Princeton University (2011) and previously held positions at New York University and the Federal Reserve Bank of Minneapolis. Research Focus: Schaal's work centers on macro-scale economic phenomena with emphasis on: Labor market mechanics and search frictions Information asymmetry impacts on business cycles Spatial equilibrium modeling Uncertainty transmission in economic systems Network-based economic geography His recent publications explore behavioral economics in market cycles, optimal policy design during crises, and spatial infrastructure efficiency. Collaborative works frequently address coordination failures and equilibrium dynamics using rigorous theoretical frameworks.

Nancy Davila Cardenesمشاهده پروفایل

دانشیار

• Bayesian statistics
• Econometrics
• Tourism economics
• +۳ مورد دیگر

Nancy Davila Cardenes serves as an Associate Professor in the Department of Quantitative Methods in Economics and Management at the School of Economics, Business and Tourism, University of Las Palmas de Gran Canaria. She is an active member of the Bayesian Statistical and Decision-making Techniques in Economics and Business research group and teaches Business Mathematics, Quantitative Methods, and supervises final degree projects for Business Administration students. Dr. Davila's research spans multiple domains where statistical methods address real-world economic problems. Her primary interests include Bayesian statistics with applications in tourism economics (particularly tourist expenditure patterns in the Canary Islands), sports analytics (especially football/soccer modeling), educational statistics (assessment methodology development), and gender studies (analysis of gender-based violence determinants). She has developed innovative methodological approaches including infinite mixture models for tourism segmentation and asymmetric Bayesian models for social phenomena analysis. Her publication record reveals a consistent research trajectory with recent work increasingly focused on tourism economics while maintaining her established expertise in sports analytics. She has made significant contributions to educational innovation through tools for automated testing in business mathematics. Dr. Davila frequently collaborates with E. Gómez-Déniz and other ULPGC colleagues across multiple projects. She has participated in numerous research projects primarily funded by the University of Las Palmas de Gran Canaria and the Spanish Ministry of Science and Innovation. These include the current 'Economic Evaluation and Meta-Analysis: Bayesian Solutions in Health Economics' project (2022-2026) and multiple educational innovation initiatives examining reading comprehension competencies among business students (2018-2021). Dr. Davila maintains an active research profile with publications extending to 2024 and continues to contribute significantly to both methodological advancement and practical applications in her fields of expertise.

JOSE MANUEL COTOS YAÑEZمشاهده پروفایل

استاد

• Computer Graphics
• Data Engineering
• Remote Sensing
• +۷ مورد دیگر

Jose Manuel Cotos Yañez is a Professor at the University of Santiago de Compostela, affiliated with the Department of Electronics and Computing within the Faculty of Physics. He holds a PhD from the same institution, completed in 1994 with a thesis focusing on oceanic structure dynamics for fisheries applications using remote sensing and knowledge engineering. His research is centered in the COGRADE (Computer Graphics and Data Engineering) group, with past involvement in the LABSIS (Systems Laboratory) . Research interests include computer graphics, data engineering, spatial data integration, remote sensing applications in oceanography and environmental monitoring, and the development of geospatial technologies. Notable work involves oil spill detection via SAR imagery, geospatial data frameworks (e.g., GeoDADIS, SODA), and educational technology tools like gesture-based math learning and augmented reality for archaeological education. Publications span topics from machine learning-driven environmental monitoring to GIS systems and distributed database optimization. He has contributed to projects such as TRAFAIR (air quality data systems) and INOVA (web technologies for consulting frameworks). His work often integrates AI techniques with geospatial and oceanographic data analysis.

Gualberto Asencio Cortésمشاهده پروفایل

دانشیار

• Machine Learning
• Time Series Forecasting
• Data Mining
• +۲ مورد دیگر

Gualberto Asencio Cortés is Associate Professor in Computer Science at Universidad Pablo de Olavide. He holds Ph.D. in Computer Science from UPO (2013) and Executive Master in Innovation from EOI (2016). Research focuses on developing advanced algorithms for: Time series forecasting in energy, agriculture, and environmental domains Feature selection methods for deep learning Explainable AI for predictive modeling Big data stream processing Developed innovative tools like FS-Studio for feature selection experimentation. Recent publications demonstrate strong focus on agricultural applications (pest forecasting, phenology prediction) and energy consumption modeling using hybrid deep learning approaches.

• Natural Language Processing
• Artificial Intelligence
• Data Science
• +۳ مورد دیگر

Jorge Turmo Borras es profesor del Departament de Ciències de la Computació en la Universitat Politècnica de Catalunya. Forma part del Grup de Processament del Llenguatge Natural (GPLN) i del Centre de Tecnologies i Aplicacions del Llenguatge i la Parla (TALP). Su investigación se centra en procesamiento del lenguaje natural, inteligencia artificial y minería de datos clínicos. Investigación: NLP, Deep Learning, Salud Digital Colaboraciones: IDEAI-UPC, XarTEC Salut Sus intereses principales incluyen extracción de información de documentos médicos, resolución de anáforas mediante hipergrafos, y normalización léxica de microtextos. Ha publicado sobre modelado de temas para enlazado de entidades y detección de negaciones en textos clínicos. En los últimos 5 años ha trabajado en sistemas de asistencia para diagnóstico , procesamiento de tweets médicos , y redes neuronales para historiales de salud . Sus artículos destacan aplicaciones de Transformers, CRF y modelos híbridos. Patrocinadores: HORIZON 2020, Plan Estatal de Investigación 2021-2023, RIS3CAT. Colabora con investigadores como Alicia Ageno, Lluís Padró y Horacio Rodríguez-Hontoria.

• Physical Education
• Sports Psychology
• Adolescent Health
• +۴ مورد دیگر

José Enrique del Moral García is a Researcher in the Faculty of Education specializing in Physical Education and Sport at an institution in Castile and León, Spain. He is an active member of the GIADES research group (Research in physical activity, sport, and health), a Consolidated Research Unit of the regional government focusing on evidence-based health promotion through physical activity. His academic foundation includes a PhD from the University of Jaén (2010) with the thesis "Physical Activity and Body Composition in Andalusian Schoolchildren Aged 13-16. Analysis of Quality of Life and Motivations for Participating in Physical and Sports Activities," supervised by Dr. Emilio J. Martínez López. This research established his focus on youth health behaviors and motivational dynamics in physical activity contexts. His scholarly work centers on the psychological dimensions of physical education, particularly motivation drivers in school settings and their interplay with healthy lifestyle factors. He investigates critical contemporary issues including the relationship between physical activity and bullying/cyberbullying, Mediterranean diet adherence in adolescents, and digital media's impact on youth well-being. His research consistently bridges theoretical frameworks with practical educational applications, emphasizing school-based interventions for promoting holistic adolescent development. Analysis of his 2023-2025 publications reveals a sophisticated interdisciplinary approach integrating sports psychology, public health, and educational theory. His work demonstrates growing emphasis on digital behavior-physical activity interactions, with systematic reviews establishing causal pathways between screen time, physical inactivity, and social problems like bullying. The Mediterranean diet emerges as a recurring protective factor in his studies, examined through gender-specific and age-stratified lenses. As a core contributor to the GIADES research group, he participates in collaborative projects translating scientific findings into classroom practices. His methodological repertoire spans quantitative surveys, experimental interventions, and systematic reviews, with consistent focus on actionable outcomes for educators and policymakers seeking to enhance youth health through physical education.

• Computer Science
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Francisco Jose Ribadas Pena is a full-time Lecturer in the Department of Computer Science at Universidade de Vigo, Spain. He is affiliated with the COLE (Computational Learning) research group and holds a PhD from the University of A Coruña (2002), where he studied pattern recognition in shared forests under Dr. Manuel Vilares Ferro. His research spans artificial intelligence, machine learning, and natural language processing, focusing on hate speech detection, recommender systems, and neural network optimization. He has published extensively in these areas, with key contributions to collaborative filtering, topic modeling, and multilingual text classification. Recent work highlights trends in hate speech identification via feature engineering, early stopping mechanisms in neural networks, and integration of latent factor models with NLP for personalized recommendation systems. Collaborative projects include CiTIUS-COLE’s participation in SemEval-2019 Task 5 and CLEF tracks. Labs/teams: COLE Computational Learning group at Universidade de Vigo. Past affiliations include KTH Royal Institute of Technology (Sweden), University College Dublin (Ireland), and Universidade de Santiago de Compostela (Spain).

• Software Engineering
• E-Learning
• Cybersecurity
• +۳ مورد دیگر

Luis Fernandez Sanz is a Professor in the Department of Computer Science at the University of Alcala (Spain). His primary affiliation is with the 'Information Technologies for Training and Knowledge' research group, where he investigates e-learning systems, software quality, cybersecurity, and digital accessibility. Research Focus: Professor Sanz's work spans: Development of adaptive e-learning platforms and accessibility standards Software quality measurement and testing methodologies Cybersecurity in cloud computing and data science applications Integration of gamification in educational technology EU digital competence frameworks and industry skill alignment Project Leadership: He has secured significant EU funding for projects including: DEDALUS (data literacy courses for universities) Be@CyberPro (cybersecurity career awareness game) e-Skills Match (ICT professional standards) Multiple contracts with UNINFO and European Commission bodies Teaching: He instructs courses in Software Quality/Testing, Project Management, and ICT applications across undergraduate and graduate computer engineering programs. Scholarly Output: His publications demonstrate consistent focus on emerging technologies, with recent work analyzing AI security threats, blockchain applications in banking, sustainable IoT systems, and accessibility engineering. Research often incorporates empirical validation and industry collaboration.

• Digital Accessibility
• E-learning Technologies
• Software Quality and Measurement
• +۵ مورد دیگر

Inés López Baldominos is a Researcher in the Department of Computer Science at the University of Alcalá (UAH), where she teaches Project Management courses across multiple Computer Engineering degree programs. She is an active member of the Tecnologías de la Información para la Formación y el Conocimiento research group, contributing to various research lines in educational technology and digital systems. Her research interests span several interconnected domains: Digital accessibility implementation and European Accessibility Directives compliance E-learning technologies, standards, and adaptive learning systems Software quality, measurement, and engineering practices Cybersecurity applications (cloud and legal aspects) Digital competencies frameworks and assessment methodologies Gamification and motivation in learning environments Data science applications for analyzing professional skills requirements From 2020-2023, López Baldominos has maintained consistent scholarly output focused on practical implementation challenges in digital accessibility, European digital competence frameworks, and soft skills development for IT professionals. Her work demonstrates a strong connection between regulatory requirements, technical implementation, and user-centered design principles in educational technology contexts. Key research contributions include: Implementation methodologies for European Accessibility Directives in professional organizations Analysis of digital competencies frameworks across European educational systems Development of data-driven approaches to match soft skills with labor market demands Investigations into the integration of accessibility as a fundamental element in educational technology López Baldominos collaborates extensively with researchers including Luis Fernández-Sanz and Vera Pospe-lova, indicating strong research partnerships. Her work bridges theoretical research with practical applications, particularly in the implementation of accessibility standards and the development of frameworks for professional skills assessment in technology fields.

• Physical Activity and Health
• Notational Analysis in Sport
• Motor Control, Learning and Development
• +۷ مورد دیگر

David Valadés Cerrato is a Full Professor in the Department of Biomedical Sciences at Universidad de Alcalá (UAH), where he also serves as the Delegate of the Rector for Sports Activities. His academic work is centered at the Faculty of Medicine and Health Sciences, with his office located in Module II on the 1st floor. Dr. Valadés Cerrato's research interests span multiple areas within sports science and exercise physiology. He is particularly focused on volleyball performance analysis, including biomechanics of techniques like spiking and serving, game demands at different competitive levels, and training methodologies for volleyball players. His work also extends to exercise physiology, examining how physical activity affects various physiological markers including cytokines like IL-15, body composition, and metabolic responses in different populations from elite athletes to older adults. His publication record shows a consistent output of high-quality research, with recent work focusing on volleyball biomechanics and performance, exercise physiology, and sports nutrition. His articles demonstrate expertise in both practical applications for athletes and more fundamental physiological research, with a particular emphasis on how training methodologies translate to on-court performance. Notable scientific contributions include: Research on volleyball spike mechanics and performance monitoring throughout competitive seasons Studies on cytokine responses to exercise, particularly IL-15 and its relationship with muscle physiology Investigations into the effects of different training methodologies on athletic performance Work on physical activity interventions for special populations including older adults and postmenopausal women Research on nutritional ergogenic aids, particularly caffeinated energy drinks in volleyball performance Dr. Valadés Cerrato has secured multiple research grants, including projects funded by the Society of Endocrinology Nutrition and Diabetes of the Community of Madrid and Universidad de Alcalá, demonstrating his ability to obtain competitive funding for his research initiatives. His collaborations extend across multiple departments within UAH, reflecting the interdisciplinary nature of his work. He is actively involved in the 'Gestión y entrenamiento deportivo - Sports Management and Sports Training Research Group' at UAH, which provides a framework for his extensive research activities spanning from basic physiological mechanisms to applied sports performance.

Núria Badenes Pláمشاهده پروفایل

استاد

• Public Economics
• Taxation
• Microsimulation Modeling
• +۳ مورد دیگر

Dr. Núria Badenes Plá is a Professor at the Complutense University of Madrid and a key contributor to the Institute for Fiscal Studies. Her academic career spans over 25 years with a focus on Applied Economics, particularly in public economics, taxation, and microsimulation modeling. She has co-authored 41 journal articles, 18 collective works, 8 books, and directed 2 PhD theses. Research Interests: Dr. Badenes Plá's work examines how fiscal policies affect income distribution, with specific expertise in gender financial gaps, tax reform assessments, and microsimulation techniques like EUROMOD. Her research covers household economic behavior during crises, wealth taxation models, and the redistributive impacts of universal basic income. Key collaborations with José Manuel González Páramo and Borja Gambau Suelves 2024 thesis direction on microsimulation modeling at UNED 2011 thesis on altruistic behavior in negotiations at Complutense Scientific output includes 75 citations (H-index: 4) since 1994, with recent 2024-2023 articles analyzing tax reforms, pandemic economic impacts, and gender financial dynamics in Spain. She has contributed to policy debates on fiscal neutrality, local government reforms, and environmental taxation.

• Sports Science
• Basketball Performance Analysis
• Muscle Contraction
• +۳ مورد دیگر

Adria Miro Alba is a researcher affiliated with the Research and Innovation Group on Sport and Society at the University of Ramon Llull. His work focuses on sports science, particularly in basketball performance analysis, muscle physiology, and therapeutic hypnosis applications. Research Interests : Sports analytics, vibration therapy in strength training, psychological interventions for athletes, and biomechanical demands in youth sports. Projects : Inclusion of mechanical vibration and instability in contemporary strength training methods (2024-2025), and development of the BASKETRHYTHM tool for basketball rhythm analysis (2025). Collaborations : Works with multidisciplinary teams in sports science, including researchers from biomechanics, psychology, and performance physiology. Recent Publications : Key themes include vibration-enhanced core training, hypnosis-based performance optimization, and data-driven analysis of basketball game dynamics. His work frequently employs statistical methods like ANOVA and Friedman tests.