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Francisco Alonso SarriaView profile

Associate Professor

• Remote Sensing
• Environmental Modeling
• Hydrological Processes
• +6 more

Francisco Alonso Sarria is an Associate Professor in the Department of Geography at the University of Murcia, affiliated with the Faculty of Arts and Humanities. His primary research focuses on Physical Geography, particularly hydrological processes, remote sensing applications, and environmental modeling in semi-arid regions. He leads the IMPRHAS research group, studying hydrological and environmental processes in semi-arid environments, and has contributed to understanding desertification dynamics and land abandonment impacts in Spain’s southeast regions. Education: Doctorate from the University of Murcia (1995), with a thesis on rainfall analysis and hydrological impacts in a semiarid Mediterranean basin under supervision of Dr. Francisco López Bermúdez. Research Interests : Remote sensing techniques, land use classification, GIS applications, machine learning in environmental modeling, climate change impacts, soil erosion, and water resource management in semi-arid ecosystems. His work integrates satellite imagery, spatial analysis, and statistical models to address environmental challenges like desertification, water scarcity, and land degradation. Key contributions include developing open-source tools for image processing (e.g., fusionImage R package), optimizing atmospheric correction algorithms for Sentinel-2 data, and modeling evapotranspiration dynamics under climate change scenarios. He has also explored the ecological resilience of Mediterranean species like Pinna nobilis in coastal lagoons. Grants: Involved in projects funded by CICYT (e.g., desertification monitoring) and others focused on wind energy mapping and hydrological modeling. Labs/Teams: Active in IMPRHAS and the Mediterranean Ecosystems group (Eroderme), collaborating on interdisciplinary projects involving hydrology, ecology, and geomatics.

Antonia Baeza CaracenaView profile

Associate Professor

• Environmental Engineering
• Air Quality Management
• Industrial Hygiene
• +3 more

Antonia Baeza Caracena is an Associate Professor in the Department of Chemical Engineering at the University of Murcia's Faculty of Chemistry. Her research focuses on industrial hygiene, air quality management, and pollution control, particularly in urban environments. She holds a PhD from the University of Murcia (2001), where her thesis examined benzene, toluene, and xylene impacts on air quality in Murcia City under the LIFE-MACBETH project. Her work integrates technical and policy dimensions, addressing challenges like industrial noise evaluation, emission control in petrochemical facilities, and multi-pollutant monitoring strategies. She leads the Safety and Hygiene in Industry research group, emphasizing practical solutions for occupational safety and environmental sustainability. Notable contributions include methodologies for locating air quality monitoring stations and assessing benzene exposure in European cities. Recent research trends highlight urban pollution mitigation, with studies on nitrogen oxides, particulate matter, and benzene hotspot analysis. Her publications reflect interdisciplinary approaches combining environmental engineering, public health, and regulatory compliance. Grants and collaborations have supported field studies in Murcia and beyond. No scientific awards are listed. While no advisees are explicitly noted, her thesis supervision experience indicates mentorship capabilities. She actively contributes to the university's industrial ventilation design and environmental safety initiatives through her research group.

• Electric Power Systems
• Renewable Energy Integration
• Distributed Generation
• +5 more

Carlos David Zuluaga Ríos is a Postdoctoral Researcher at the Institute for Research in Technology (IIT) of the Comillas Pontifical University, affiliated with the Higher Technical School of Engineering (ICAI). He holds a B.Sc. and M.Sc. in Electrical Engineering from the Universidad Tecnológica de Pereira (2010, 2013), and a Ph.D. in Engineering (2018) from the same institution. His research focuses on electric power systems, renewable energy integration, distributed generation, and electric vehicle technologies. Key research areas include probabilistic modeling of energy systems, optimization algorithms for grid integration, and control systems for sustainable technologies. He has contributed to projects like improving tools for hybrid AC/DC power systems analysis under renewable energy penetration. Recent work includes studies on temperature effects on air quality solutions and neuro-probabilistic frameworks for EV energy demand forecasting. He has authored over 20 journal articles, conference papers, and a book chapter. His work has been published in journals like Applied Energy , IEEE Transactions on Power Systems , and Sustainability . He has presented at international conferences such as ICIAP and IREP. His current project (TED2021-130610B-C22) focuses on advancing hybrid power system tools with EU funding.

• Psychometrics
• Data Analytics
• Educational Measurement
• +3 more

Rodrigo Schames Kreitchmann is an Adjunct Professor at the IE School of Science and Technology, IE University, Spain. He holds a Ph.D. in Psychology (2022) and a Master's in Methodology of Behavioral Sciences (2015) from Universidad Autónoma de Madrid (UAM), alongside a Psychology Degree from Universidade Federal do Rio Grande do Sul, Brazil (2013). His academic career includes roles as a Professor in Training at UAM (2018–2022) and multiple research assistant positions in institutions like the Chair in Psychometric Models and Applications (UAM, 2016–2017) and IE Business School (2016). His research focuses on psychometrics and data analytics, specializing in continuous latent variable models for compositional data (e.g., ipsative response data) and discrete latent variable models for competence assessment (cognitive diagnosis models). He has been recognized for teaching excellence, earning UAM's Teaching Excellence Award. Rodrigo’s professional experience spans academic and corporate roles, including research at the Instituto da Família de Porto Alegre (2010–2013) and Casa do Psicólogo (2009–2010). His work bridges statistical methodology with practical applications in psychology and education.

• Atmospheric Physics
• Climate Modeling
• Extreme Weather Events
• +4 more

Dr. Daniel Argüeso Barriga is a Senior Lecturer at the University of the Balearic Islands (UIB), Spain, affiliated with the Department of Physics and the Meteorology (Meteo-UIB) research group. He holds a PhD Summa Cum Laude (2011) and M.Sc. in Geophysics and Meteorology (2009) from Universidad de Granada, and B.Sc. in Physics (2005) from Universidad de Salamanca. His research spans atmospheric physics , climate modeling , and extreme weather , focusing on convection-permitting ocean-atmosphere models to study mechanisms behind climate extremes , urban development impacts , and renewable energy applications . Recent publications analyze East Australian Current intensification , urban rainfall extremes , and land-atmosphere feedbacks in heatwaves . Scientific Awards PhD Summa Cum Laude Beatriz Galindo Fellowship (2021–Present) JIN Fellowship (2020–2021) MSCA-IF Fellowship (2017–2019) Teaching includes Applied Physics in Health Sciences , Atmospheric Numerical Simulation , and advanced topics in geophysical fluid dynamics . His work integrates interdisciplinary climate change research across institutions in Spain, Australia, and the USA.

• Methodology of Behavioral Sciences
• Applied Statistics
• Data Mining
• +7 more

Rafael Jiménez López is a full Professor in the Department of Psychology at the University of the Balearic Islands (UIB), affiliated with the Faculty of Psychology. He specializes in the Methodology of Behavioral Sciences and is a member of the Data Analysis (GRAD) research group at UIB. Education: Bachelor’s in Psychology, University of the Balearic Islands, 1998 (Extraordinary Degree Award) PhD in Psychology, University of the Balearic Islands, 2003 Rafael Jiménez’s research focuses on advanced statistical methodologies and techniques, particularly data mining and statistical modeling, applied to behavioral, social, and health sciences. His work spans digital health interventions, evidence-based practice, and substance use. His recent publications (2022–2025) emphasize digital interventions for type 2 diabetes prevention (PREDIABETEXT), mental health in healthcare workers (PsyCovidApp), and the application of artificial neural networks in behavioral research. He has contributed significantly to the development and validation of research instruments in education and psychology. The trend in his recent articles shows a strong interdisciplinary focus, combining psychology, statistics, and digital health. His work increasingly applies machine learning and data mining to public health challenges, particularly in chronic disease prevention and mental health. He frequently collaborates on large-scale clinical trials and validation studies. Scientific Awards: Extraordinary Degree Award in Psychology, UIB, 1998 Rafael Jiménez has extensive teaching experience across undergraduate, master’s, and doctoral levels, teaching courses in applied statistics, data mining, evidence-based psychology, and survey design. He has supervised master’s and doctoral theses. He has participated in five national competitive research projects and several funded by the Balearic Islands Health Research Institute (IdISBa), demonstrating sustained grant acquisition. His academic leadership includes serving as vice-dean and head of studies at the Faculty of Psychology from 2007 to 2016. He is an active member of the Data Analysis (GRAD) research group at UIB, which focuses on applying statistical and data mining techniques to behavioral and health sciences. His collaborative network includes researchers in psychology, nursing, physiotherapy, and public health.

José Manuel Álvarez MartínezView profile

Researcher

• Ecology
• Conservation Biology
• Remote Sensing
• +7 more

José Manuel Álvarez Martínez is a researcher affiliated with the Universidad de León (Spain) who completed his PhD in 2010 with the thesis Análisis y modelado multiescalar de los efectos del cambio global sobre la dinámica y función del paisaje en espacios de montaña , supervised by Dr. Estanislao de Luis Calabuig and Dr. Susana Suárez Seoane. His research focuses on Ecological modeling of landscape dynamics Remote sensing applications in conservation biology Forest expansion and socio-ecological sustainability Human-wildlife conflict mitigation Digital soil mapping techniques Ecosystem service assessment Key publication trends (2015-2021) reveal expertise in: LiDAR and satellite data integration Species distribution modeling (MaxEnt, BIOMOD) Anthropogenic impact quantification Carbon cycling in fluvial systems Land abandonment effects on vegetation patterns Statistical-mechanistic model comparison His work has contributed to Natura 2000 conservation strategies and climate change adaptation frameworks. Notably, he developed a mechanistic model for soil organic matter prediction that showed 0.8 correlation with statistical approaches while enabling extrapolation capabilities.

• Quantitative Research in Social Sciences
• Psychometrics
• Educational Assessment
• +3 more

Fernando Martínez Abad is a Professor at the University of Salamanca , affiliated with the Department of Research Methods and Educational Diagnosis. His career spans statistics, psychometrics, and educational assessment, with a focus on digital competencies and quantitative methodologies in social sciences. Doctor in Educational Sciences (Extraordinary Award) Graduate in Statistics Licentiate in Psychopedagogy Master in ICT in Education Research Interests center on quantitative research in education, psychometric validation, and equity in educational systems. He employs large-scale assessments like PISA and integrates educational technologies for data analysis and instructional design. Recent Publications reveal trends in multilevel modeling for academic performance, resilience in compulsory education, digital competence frameworks, and climate change literacy. His work bridges statistical rigor with pedagogical innovation, often utilizing open-source tools like JASP and SPSS Amos. Scientific Awards : Extraordinary Doctoral Award in Educational Sciences Doctoral Students : Supervised 15 theses, including Jorge Joo, Enzo Ferrari, and Li Yang Laboratory : Affiliated with the eFIBIGDATA research group at efibigdata.com

• Time Series Analysis
• Functional Data Analysis
• Bootstrap Methods
• +5 more

Manuel Febrero-Bande is a Professor of Statistics and Operations Research at the University of Santiago de Compostela, affiliated with the Department of Statistics, Mathematical Analysis and Optimization under the Faculty of Mathematics. He earned his PhD in 1995 with a thesis on time series modeling. His research focuses on functional data analysis, time series, bootstrap methods, and computational statistics, with applications in environmental control, finance, and health. He co-developed the R package fda.usc , a key tool in functional data analysis. Febrero-Bande has coordinated academic programs like the Master in Statistical Techniques and the Doctoral Program in Statistics and Operations Research. His work emphasizes statistical methodology and interdisciplinary applications, with over 30 peer-reviewed publications and contributions to software development. Key research trends include functional data classification (e.g., Bitcoin address analysis), variable selection in additive models, and goodness-of-fit testing for functional linear models. He has explored applications in fields like forensic science (post-mortem interval estimation) and malaria transmission dynamics. His collaborative projects span institutions in Spain and internationally, reflecting a commitment to both theoretical and applied statistics. He has advised numerous students, though explicit student names are not listed. Awards are not mentioned, but his contributions to statistical software (e.g., fda.usc) and leadership in academic programs highlight his impact. His research often addresses real-world problems, integrating computational methods with statistical rigor.

• Dynamical Systems
• Invariant Manifolds
• Celestial Mechanics
• +3 more

Jose M. Mondelo Gonzalez is an Associate Professor in the Department of Mathematics at the Polytechnic University of Catalonia (UPC), affiliated with the Centre for Space Studies and Research (CEREs). He holds a Ph.D. in Mathematics from the University of Barcelona (2001) and a Master's in Mathematics from the same institution (1996). His research focuses on dynamical systems, celestial mechanics, and nonlinear dynamics, with particular emphasis on invariant manifolds, Hamiltonian systems, and orbital dynamics applications in space missions. He has been actively involved in research projects funded by the Spanish Ministry of Economy and Competitiveness, including studies on discrete and continuous dynamical systems, low-dimensional dynamics, and numerical analysis of invariant structures. His work spans theoretical developments to practical applications in astrodynamics and space situational awareness. Key research interests include parameterization methods for invariant tori, heteroclinic connections in celestial mechanics, and computational techniques for libration point missions. His contributions have advanced understanding of orbital stability, chaotic dynamics, and nonlinear phenomena in both theoretical and applied contexts. Mondelo has participated in over 25 research outputs since 2001, with notable recent works on quasi-periodic Hamiltonian systems and semi-analytical computations of invariant manifolds in geostationary orbits. His research has been published in prestigious journals like SIAM Journal on Applied Dynamical Systems and Communications in Nonlinear Science and Numerical Simulation .

Ana Alejandra Cabaña NigroView profile

Professor

• Empirical Processes
• Goodness-of-Fit Testing
• Time Series Analysis
• +3 more

Ana Alejandra Cabaña Nigro is a Professor in the Department of Mathematics at Universitat Autònoma de Barcelona, specializing in Advanced Stochastic Modelling. She holds a Ph.D. in Mathematical Sciences from the Central University of Venezuela (1993), a Master's in Mathematics from Universidad Simón Bolívar (1986), and a Bachelor's degree in Mathematics from the same institution (1985). Her research focuses on empirical processes, goodness-of-fit testing, time series analysis, and statistical modeling with applications to epidemiology and public health. She has contributed to methodologies for analyzing under-reported data, particularly during the COVID-19 pandemic, and has developed techniques for transforming empirical processes (TEPs) to enhance statistical testing power. Current interests include integrating neural networks with empirical processes to study variable importance. She has collaborated on projects such as stochastic modeling for biosciences (2022–2025) and statistical analysis of health risks (2016–2022), addressing topics like epidemiological data under-reporting and environmental health risks. She has supervised 47 academic works and actively participates in interdisciplinary initiatives like the Ecodep project. Key contributions include publications on ARCH models for under-reported time series, Bayesian analysis of pandemic burdens, and methods to quantify data misreporting in public health contexts. Her work contributes to UN Sustainable Development Goals related to health and well-being.

• Educational Psychology
• Self-Regulated Learning
• Academic Motivation
• +5 more

Julio Antonio González-Pienda García is a Professor in the Department of Psychology at the University of Oviedo. His research focuses on educational psychology, particularly self-regulated learning, academic motivation, learning disabilities, and developmental psychology. He has collaborated extensively with researchers in Spain, Portugal, and beyond, publishing over 128 journal articles, 94 book chapters, and 4 books. His work addresses topics such as university dropout prediction, hypermedia learning environments in mathematics, and executive functioning in ADHD. Key Affiliations: Universidad de Oviedo (Departamento de Psicología), Universidad Complutense de Madrid Research Themes: Self-regulation strategies, academic achievement, educational technology, ADHD, and teacher training His recent articles (2016–2019) emphasize online assessment of math problem-solving processes, post-performance judgments in mathematics, and the impact of self-regulated learning interventions. He has directed 16 theses and coordinated multiple research projects. Notable contributions include developing the 'Hipatia' hypermedia tool for math education and evaluating sentinel indicators for the Bologna Process in higher education.

Xavier BasagañaView profile

Associate Professor

• Air Pollution and Health
• Extreme Temperatures and Health
• Statistical Methods for Observational Studies
• +3 more

Xavier Basagaña is an Associate Research Professor at the Barcelona Institute for Global Health (ISGlobal), specializing in environmental epidemiology and biostatistics. He holds a Diploma (1999) and Licenciatura in Statistics (2002) from Universitat Politécnica de Catalunya and a PhD in Biostatistics from Harvard University (2007). Previously, he served as Assistant Research Professor at the Centre for Research in Environmental Epidemiology (CREAL). His educational background includes: Diploma in Statistics, Universitat Politécnica de Catalunya (1999) Licenciatura in Statistics, Universitat Politécnica de Catalunya (2002) PhD in Biostatistics, Harvard University (2007) Dr. Basagaña's research centers on statistical methodologies for observational studies , extreme temperature-health relationships , and air pollution health impacts . He leads the European citizen science project CitieS-Health (urban environment and health) and the ATENC!Ó project investigating air pollution effects on students' attention. His work extends to heat exposure, exposome research, and respiratory health, employing advanced epidemiological designs to address critical environmental health questions. His recent publications (2015-2019) reveal consistent focus on environmental health epidemiology, with key contributions in temperature-mortality relationships, air pollution neurodevelopmental effects, and methodological innovations for multicentre studies. His research predominantly utilizes longitudinal and time-series designs with Spanish population data, directly informing public health interventions like Heat Health Prevention Plans. Dr. Basagaña leads major research initiatives including the European CitieS-Health project and ATENC!Ó, while collaborating on multiple studies spanning air pollution, heat exposure, exposome, and respiratory health domains. He operates within ISGlobal's environmental epidemiology research framework, contributing to institutional expertise in environmental health risk assessment through rigorous statistical approaches and community-engaged science.

Mònica GuxensView profile

Research Professor

• Environmental Epidemiology
• Child Health
• Neurodevelopment
• +3 more

Mònica Guxens is a Medical Doctor specializing in Preventive Medicine and Public Health, currently serving as an ICREA Research Professor since 2024. She leads the INMA Project, Spain's premier multi-site birth cohort, and holds adjunct/visiting roles at Erasmus MC and Harvard T.H. Chan School of Public Health. Her research focuses on Environmental Epidemiology Neurodevelopmental Impacts of Air Pollution Climate Change Effects on Fetal Development Radiofrequency Electromagnetic Field Risks Causal Statistical Methods in Exposome Research Recent publications highlight her work on temperature exposure-brain development links (Nature Climate Change 2024), chemical mixtures affecting child cognition (Environment International 2024), and epigenetic mechanisms in placental research (Nature Communications 2025). Her methodological innovations in causal modeling have reshaped exposome analysis approaches. Scientific recognition includes Walter A. Rosenblith New Investigator Award (2016) Three competitive Spanish contracts (Río Hortega 2008, Miguel Servet I/II 2013/2018) Consolidated Research Group funding from Catalan Government As scientific advisor to Helmholtz Centre Leipzig and Associate Editor of European Journal of Epidemiology, she shapes environmental health discourse across Europe. Her work combines 15+ years directing birth cohort studies Methodological leadership in multi-exposure analysis Policy influence through Spanish government committees

• Biomedical Signal Processing
• Cardiorespiratory Analysis
• Mechanical Ventilation
• +5 more

Beatriz Giraldo Giraldo is a prominent researcher at the Institute for Bioengineering of Catalonia (IBEC), where she leads the Biomedical Signal Processing and Interpretation research group. Her work bridges biomedical engineering and clinical medicine, focusing on advanced signal processing techniques applied to physiological signals. She maintains strong affiliations with the University of Barcelona and Universitat Politècnica de Catalunya, contributing to the collaborative research environment of IBEC. Dr. Giraldo Giraldo's research focuses on cardiorespiratory analysis, particularly in the context of mechanical ventilation weaning. She has developed sophisticated methods using time-frequency analysis, wavelet transforms, and machine learning to predict weaning outcomes and analyze respiratory patterns. Her work has significant clinical implications for intensive care units, helping determine the optimal timing for extubation and reducing complications from premature ventilator removal. Her recent publications demonstrate consistent research productivity with a focus on applying advanced signal processing techniques to solve clinical problems. She has published extensively on topics including cardiorespiratory phase synchronization, heart rate variability analysis, and the development of medical decision support systems using artificial intelligence. Dr. Giraldo Giraldo has received recognition through numerous publications in high-impact journals and conferences including IEEE Transactions on Biomedical Engineering, Physiological Measurement, and annual IEEE Engineering in Medicine and Biology Society conferences. Her research has been consistently funded, supporting ongoing work in biomedical signal processing and its clinical applications. She actively mentors students and collaborators, with numerous publications showing co-authorship with junior researchers. Her work involves substantial interdisciplinary collaboration between engineers, physicians, and computer scientists, reflecting the integrative nature of modern biomedical research.