جستجوی استاد راهنمای دانشگاهی

• Sports Science
• Exercise Physiology
• Biomechanics
• +۴ مورد دیگر

Javier Courel Ibáñez serves as a Permanent Labor Professor (Associate Professor) in the Department of Physical Education and Sports at the Faculty of Education and Sports Sciences Melilla. His teaching responsibilities include structured tutoring sessions held Wednesdays from 9:00-12:00 and 15:00-19:00 in Office 007 across both academic semesters. His research spans Sports Science , Exercise Physiology , and Biomechanics , with concentrated expertise in athletic performance assessment, injury epidemiology, and evidence-based exercise interventions. Key domains include football (soccer) injury dynamics, padel performance analysis, rehabilitation protocols for tendinopathies, and physical activity applications for aging populations and post-COVID-19 recovery. His methodological approach integrates velocity-based resistance training, systematic literature reviews, and prospective cohort studies to address contemporary challenges in sports medicine. Analysis of his 2022-2025 publications reveals three dominant research trajectories: pandemic-related sports injury patterns (particularly in female football), technology-driven performance assessment (MyotonPRO reliability, resistance-band testing), and special population interventions (older adults, rheumatic conditions). His work consistently bridges laboratory findings with practical applications through EULAR collaborations and sport-specific training protocols.

• Signal Processing
• Wireless Communication Systems
• Power Amplifier Modeling
• +۴ مورد دیگر

María José Madero Ayora is a Professor at the Department of Signal Theory and Communications , Universidad de Sevilla , specializing in nonlinear system modeling and digital predistortion for wireless communication systems. Her research focuses on Volterra series applications in power amplifier linearization, microwave measurements , and machine learning techniques for signal processing. Principal Investigator for projects like Statistical Signal Modeling for Brain-Computer Interfaces (PID2021-123090NB-I00) Recipient of the Arftg Roger Pollard Student Fellowship in microwave measurement Her work spans 5G waveform linearization , I/Q modulator impairments , and thermal memory effects in RF amplifiers. Recent publications combine sparse Bayesian methods with Volterra models to address nonlinear distortion in OFDM and visible light communication systems. She has supervised doctoral theses and participated in international conferences across the U.S., Europe, and Asia.

Sandra Fachelliمشاهده پروفایل

استاد

• Social Inequality
• Social Stratification
• Social Mobility
• +۵ مورد دیگر

Sandra Fachelli is a Professor in the Department of Sociology at Pablo de Olavide University. She holds a PhD in Sociology from the Autonomous University of Barcelona (2009) and a postdoctoral degree in Social Sciences from the University of Buenos Aires. Her academic career includes leadership roles in international sociological organizations: Vice President of ISA RC55 'Social Indicators', Board Member of ISA RC28 'Social Stratification', and President of the Spanish Federation of Sociology's CI 41 'Comparative Sociology between Europe and Latin America'. She previously chaired FES's CI 06 'Inequality and Social Stratification' (2020-2024). PhD in Sociology (UAB, 2009) Postdoctoral in Social Sciences (UBA) Diploma in Advanced Studies in Sociology (UAB) Master in Introduction to Sociological Research (UAB) Master in Social Policies and Programs Design (FLACSO Argentina) Her research focuses on social inequality, stratification, and mobility , with particular emphasis on higher education and labor market intersections. She explores comparative frameworks between Europe and Latin America, analyzing structural barriers, gender disparities, and policy interventions. Her work combines quantitative methods like mutual information indexes with policy-relevant indicator development. Her publications highlight a pan-Latin American-European comparative approach using composite indicators and innovative statistical techniques (e.g., mutual information index, principal component analysis) to examine labor integration, educational outcomes, and subjective inequality perceptions. She coordinates the INCASI2 project (Horizon Europe GA 101130456), involving 29 institutions across continents. International Sociological Association RC55 Vice President Spanish Federation of Sociology CI 41 President INCASI2 International Network Sub-coordinator DINAMOS Research Group Member Master's in Applied Social Research Techniques (TISA) Coordinator

Víctor López Domínguezمشاهده پروفایل

استادیار

• Spintronics
• Magnetic materials
• Electrical transport
• +۵ مورد دیگر

Víctor López Domínguez is an Assistant Professor and Principal Investigator at the Institute of Advanced Materials (INAM) of Jaume I University in Castelló, Spain, where he leads the Spintronics for Advanced Devices Lab (SPINAD Lab). His research focuses on developing next-generation spintronic devices for computing and sensing applications. His academic background includes: PhD in Nanoscience and Nanotechnology (2014) from University of Barcelona Physics Degree (2009) from University of Barcelona López Domínguez's research centers on electrical transport in magnetic materials, magnetization dynamics, and voltage-controlled spintronic devices. His work bridges fundamental physics with practical applications in neuromorphic computing, probabilistic systems, and nanoscale sensors. Key focus areas include antiferromagnetic spintronics, skyrmion manipulation, and energy-efficient computing paradigms that leverage spin-orbit torque and voltage control mechanisms. His 15 most recent publications reveal a strong emphasis on antiferromagnetic memory devices, voltage-controlled magnetism, and neuromorphic applications. The research spans from fundamental material studies to device integration, with significant contributions to silicon-compatible spintronic memory, probabilistic computing hardware, and magnetomechanical sensors. His scientific recognition includes: CIDEGENT grant (2022) from Generalitat of Valencia López Domínguez secured the CIDEGENT grant to establish his research group at INAM, supported by Jaume I University and INAM. His lab trains undergraduate, master's, and PhD students in experimental spintronics while collaborating with international clean rooms and industry partners. Current projects focus on implementing novel computing paradigms using spintronic devices. The SPINAD Lab maintains comprehensive facilities for material fabrication, device characterization, and nanofabrication through Spanish clean room networks. The group collaborates extensively with Northwestern University (where López Domínguez previously worked) and participates in international research consortia focused on next-generation computing technologies.

• Econometrics
• Nonlinear Time Series Analysis
• Chaos Theory in Economics
• +۷ مورد دیگر

JORGE BELAIRE FRANCH is an Associate Professor in the Department of Economic Analysis at the Faculty of Economics, University of Valencia, Spain. His academic career is centered on econometric theory and its application to economic and financial time series, with a focus on nonlinearity, chaos, and structural breaks. His research interests lie primarily in nonlinear time series econometrics , including chaos testing, time reversibility, variance ratio tests, and unit root analysis in the presence of structural breaks. He has made significant contributions to the methodological development and empirical application of tests for chaos, market efficiency, and asymmetry in macroeconomic and financial data. His work spans financial markets , real estate economics , exchange rate behavior , and labor market dynamics . The most recent publications show a consistent trajectory in analyzing complex dynamics in economic data, particularly through nonparametric and nonlinear methods. Themes include chaos detection in stock markets, persistence changes in inflation and prices, and asymmetries in unemployment. His methodological rigor is evident in replication studies and power analyses of econometric tests. Jorge Belaire Franch completed his PhD at the University of Valencia in 1999 with a thesis on applied nonlinear econometrics, supervised by Dr. Dulce Contreras Bayarri. He has contributed extensively to the literature through journal articles and methodological notes. He has supervised doctoral research, as evidenced by his role as advisor to Dr. Dulce Contreras Bayarri's PhD student. While no specific grants or funded projects are mentioned, his sustained publication output suggests active research engagement. There is no information available about labs, research teams, or collaborative groups he may lead or participate in.

• Physical Activity
• Sports Science
• Adapted Sports
• +۴ مورد دیگر

Josep Oriol Martínez Ferrer is an Associate Professor at the Department of Physical Activity and Sport Sciences and Sports Management, Faculty of Psychology, Educational Sciences and Sports, Blanquerna Health, Physical Activity and Sports. His research focuses on physical activity, adapted sports, and health promotion for individuals with disabilities and older adults. University: Blanquerna Health, Physical Activity and Sports School: Faculty of Psychology, Educational Sciences and Sports Department: Physical Activity and Sport Sciences Dr. Martínez Ferrer's research interests span Adapted Sports for athletes with intellectual disabilities (e.g., judo programs), Sports Science in disability inclusion, Health Promotion in aging populations, and Social Inclusion through physical activity. His work addresses behavioral medicine, pandemic impacts on physical activity, and policy development for athletes with disabilities. Recent publications highlight collaborations on the JOIN4JOY program for older adults, Synchronize+ for fibromyalgia patients, and SITLESS trials for community-dwelling seniors. Keywords across his work include Physical Activity , Intellectual Disability , Behavioral Interventions , and Healthy Aging . He participates in the SAFE research group, focusing on Health, Physical Activity, and Sports. Projects like JUDODI and IDEA Study examine sports programs for adolescents with disabilities and cardiovascular effects of exercise in older adults. He has no listed scientific awards.

Jesús Martínez Frutosمشاهده پروفایل

استاد

• Computational Mechanics
• Soft Robotics
• Topology Optimization
• +۵ مورد دیگر

Jesús Martínez Frutos is a Professor specializing in computational mechanics and soft robotics, with a strong focus on integrating machine learning with multiphysics simulations. His research bridges constitutive modeling, topology optimization, and electroactive polymers to advance soft robotic systems and smart material design. His primary research domains include: Computational Mechanics (finite strain electromechanics, hyperelasticity) Physics-Informed Machine Learning (neural networks, Gaussian processes) Topology Optimization (lattice structures, band gap engineering) Soft Robotics (shape-morphing actuators, dielectric elastomers) Multiphysics Simulation (thermo-electro-mechanics, flexoelectricity) He pioneers methods for embedding physical constraints into data-driven models, particularly for nonlinear material behavior under large deformations. Analysis of his 15 most recent publications (2022-2025) reveals three dominant trends: (1) Physics-augmented neural networks for constitutive modeling that enforce thermodynamic consistency; (2) Multi-material topology optimization for programmable electroactive structures; (3) Gradient-enhanced machine learning frameworks that capture material uncertainties. His work consistently targets real-world applications in soft robotics and energy-efficient actuation systems. Professor Martínez Frutos actively supervises graduate theses as indicated by his profile's dedicated section, though specific student names aren't listed. His research is supported by institutional funding referenced in the profile's funding section, with emphasis on computational methods for next-generation soft robotic systems. Current projects focus on 3D-printed dielectric elastomer actuators and probability-based optimization for safety-critical applications.

• Computational Geometry
• Discrete Geometry
• Combinatorial Geometry
• +۷ مورد دیگر

Clemens Huemer is a professor affiliated with the Department of Mathematics at the Escola d'Enginyeria de Telecomunicació i Aeroespacial de Castelldefels (EETAC), part of the Universitat Politècnica de Catalunya (UPC). He is a key member of the DCCG (Discrete, Combinational, and Computational Geometry) research group, where he contributes extensively to theoretical and applied geometric research. His work spans computational, discrete, and combinatorial geometry with strong ties to graph theory and combinatorics. His primary research interests include computational geometry, discrete and combinatorial geometry, Voronoi diagrams (especially higher-order variants), geometric graphs, point set configurations, and algorithmic geometry. He investigates structural properties of geometric objects, combinatorial configurations, and optimization problems in discrete settings. His recent publications emphasize Voronoi constructions, matching problems in colored point sets, spectral properties of token graphs, and production matrices for enumerating geometric graphs. The trends in his recent articles (2021–2024) reflect a deep focus on higher-order Voronoi diagrams, geometric matching, and combinatorial properties of point sets and graphs. His work combines theoretical depth with algorithmic insights, often involving polynomial representations, spectral analysis, and geometric enumeration. The recurring themes include structural analysis of geometric arrangements, extremal problems in point sets, and algebraic-combinatorial methods in geometry. Clemens Huemer has been involved in multiple competitive R&D projects, including those funded under the Spanish State Research Plans and Horizon 2020, often in collaboration with leading researchers in computational geometry. He has served on scientific committees of conferences such as the Workshop on Geometric Networks and the Intensive Research Program on Discrete, Combinatorial and Computational Geometry, indicating leadership in the academic community. He advises and collaborates with numerous researchers and students, though specific advisees are not listed in the provided data. His research is supported through national and European grants, and he actively contributes to the dissemination of results via conference presentations and journal publications in top venues such as Discrete and Computational Geometry , Computational Geometry: Theory and Applications , and European Workshop on Computational Geometry . Clemens Huemer is based at the Baix Llobregat campus of UPC and is deeply embedded in the UPC research network, with extensive collaborations across institutions in Spain and internationally. His work is central to the DCCG group’s efforts in advancing the theoretical foundations of discrete and computational geometry.

Matthieu Perrinمشاهده پروفایل

دانشیار

• Distributed Computing
• Message-Passing Systems
• Weakly Consistent Data Structures
• +۳ مورد دیگر

Matthieu Perrin is an Associate Professor at the University of Nantes, affiliated with the GDD team at LS2N (Laboratoire des Sciences du Numérique de Nantes). He holds a PhD from the University of Nantes (2016), advised by Claude Jard and Achour Mostéfaoui. His research focuses on distributed computing, particularly message-passing systems, weak consistency models, and distributed algorithms. He has co-advised PhD students including Grégoire Bonin and supervised undergraduate projects like Damien Maussion's work on weak consistency enforcement. Key contributions include seminal work on differentiated consistency for gossip protocols, causal broadcast algorithms, and extensions of the Herlihy wait-free hierarchy to multi-threaded systems. His publications span journals like IEEE TPDS and conferences such as EuroSys and PODC. Perrin's work bridges theoretical foundations (e.g., consistency models) with practical implementations (e.g., state-machine replication for large-scale systems). He collaborates widely, including postdoctoral work at Technion and IMDEA Software Institute.

• Complex Systems
• Data Analysis
• Nonlinear Dynamics
• +۴ مورد دیگر

Cristina Masoller Alonso is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Departament de Física and the Escola Superior d'Enginyeries Industrial, Aeroespacial i Audiovisual de Terrassa (ESEIAAT). Her research focuses on complex systems, nonlinear dynamics, nonlinear photonics, and data analysis. She is part of the DONLL research group (Dinàmica no Lineal, Òptica no Lineal i Làsers) and holds a PhD from Bryn Mawr College, USA, with a Master's in Physics. Her work spans experimental and theoretical studies in semiconductor lasers, chaos synchronization, and applications of nonlinear dynamics to neural networks and ecological systems. Her recent research highlights include analyzing noise-induced phenomena in neural networks, studying corruption network structures through gender disparity analysis, and developing entropy-based methods for detecting critical transitions in ecological and climatic systems. She has led multiple competitive research projects funded by the Air Force Office of Scientific Research and European programs, and her work is published in high-impact journals like Chaos , Optics Express , and Scientific Reports . Dr. Masoller's contributions include over 400 academic activities, including articles, conference presentations, and research grants. She collaborates extensively with institutions globally and is actively involved in organizing and reviewing for international conferences in nonlinear dynamics and photonics.

• Remote Sensing
• Photogrammetry
• Geomatics
• +۵ مورد دیگر

Marcos Arza Garcia is a Postdoctoral Researcher at the University of Santiago de Compostela (USC), affiliated with the Department of Agroforestry Engineering under the Higher Technical School of Engineering. His primary research focuses on geomatics, remote sensing, and sustainable agricultural applications using UAVs (drones). He holds a Doctorate from USC, awarded in 2021 for his thesis on 'Remote sensing with UAVs in the agroforestry and agroindustry: key applications in biomass, plantation survival, and energy efficiency of wineries.' His academic affiliations include membership in the Strategic Grouping in Sustainable Management and Production of Bioresources (BioReDes) and the CIGEO Group (Integrated Civil Engineering and Geomatics Group) . His work integrates advanced technologies like photogrammetry, digital image correlation (DIC), and multispectral imaging to address challenges in civil engineering, soil mechanics, and precision agriculture. Key research interests include UAV-based monitoring of biomass and vegetation health, structural stability assessment of coastal infrastructure, and innovative teaching methods for geomatics. His publications emphasize applications in sustainable agriculture, civil engineering, and geospatial education, leveraging tools like 2D/3D-DIC and NDVI analysis. His research trends reveal a focus on bridging technology and sustainability, with recent work addressing drone applications for infrastructure assessment, soil mechanics testing, and inclusive educational initiatives for photogrammetry. Despite no explicitly listed awards, his contributions to geomatics education and field innovations highlight his impactful academic engagement. He collaborates with multidisciplinary teams and contributes to educational outreach through projects like the 'D3mobile Metrology World League,' training secondary students in smartphone-based photogrammetry. His email contact is m.arza@usc.es .

• Exercise Physiology
• Sports Science
• Geriatrics
• +۳ مورد دیگر

Angel Buendia Romero is a researcher affiliated with the Human Performance and Sports Science group at the University of Murcia. He earned his PhD in 2023 with a thesis titled Effect of training and exercise cessation on functional capacity and strength in older adults , supervised by Dr. Jesús García Pallarés and Dr. Javier Courel Ibáñez. University: University of Murcia Research Group: Human Performance and Sports Science Email: angel.buendiar@um.es His research focuses on Exercise Physiology and Sports Science , with particular emphasis on: Aging and functional capacity Resistance and concurrent training Post-COVID-19 rehabilitation Muscle strength and hypertrophy Cycling biomechanics Exercise cessation effects The trends in his publications (2020–2025) highlight: Comparative analysis of free-weight vs. machine training Velocity-based training methodologies Rehabilitation strategies for older adults and post-COVID-19 patients Strength assessment tools for geriatrics Training adaptations in cycling performance Functional decline prevention His research group, Human Performance and Sports Science, explores both healthy aging and athletic performance optimization. No scientific awards or student advisement data were explicitly mentioned in the provided texts.

Antonio Vigueras Rodríguezمشاهده پروفایل

استاد

• Water Resources Engineering
• Energy Systems
• Renewable Energy Integration
• +۳ مورد دیگر

Antonio Vigueras Rodríguez serves as a Full Professor at the School of Industrial and Mining Engineering, Polytechnic University of Cartagena, Spain, with an active research career spanning two decades in water-energy systems integration. His research focuses on Water Resources Engineering , Energy Systems , and Renewable Energy Integration , examining critical intersections like water infrastructure's role in power grid stability, AI-driven wastewater characterization, and sustainable urban drainage solutions. His methodological approach frequently employs machine learning, genetic algorithms, and hydrodynamic modeling to address environmental engineering challenges. Analysis of his 77 publications (31 articles, 41 conference papers) reveals a pronounced shift toward interdisciplinary water-energy nexus research since 2020, with increasing emphasis on real-world applications in Spanish municipalities. His work demonstrates strong industry relevance through practical implementations in Cartagena's water systems and contributions to power grid stability frameworks under high renewable penetration scenarios.

• Statistics
• Probability Theory
• Stochastic Processes
• +۵ مورد دیگر

Guillermo Ayala Gallego is a Professor in the Department of Statistics and Operations Research at the Faculty of Mathematics, University of Valencia. His research is centered on statistical and probabilistic modeling with applications in image analysis and biological systems. Research Interests: His work spans Statistics , Probability Theory , Stochastic Processes , Image Analysis , Mathematical Morphology , and Spatial Statistics . He applies these to areas such as pattern recognition, biomedical imaging, and content-based image retrieval. Publication Trends: His publications, spanning from 1991 to 2011, show a consistent focus on the intersection of statistical theory and image processing. Key themes include the use of Boolean models , spatial point pattern analysis , mathematical morphology , and Bayesian frameworks for image retrieval and classification. His work often involves the analysis of biological and medical images, particularly the human corneal endothelium. Education: PhD in Statistics, University of Valencia, 1988 Thesis: "Inferencia en modelos booleanos" (Supervised by Dr. Francisco Montes Suay) Collaborations and Affiliations: He is a member of the IARM (Image Analysis, Modelling and Retrieval) research group. He has collaborated extensively with researchers such as Amelia Simó, Esther de Ves, Juan Domingo, and Miguel López-Díaz. Scientific Awards: No specific awards mentioned in the provided text. Advising and Grants: Information on students, advisees, grants, or projects is not available in the provided text.

Jose Julian Toledo Meleroمشاهده پروفایل

استاد

• Partial Differential Equations
• Nonlocal Diffusion
• Calculus of Variations
• +۷ مورد دیگر

Jose Julian Toledo Melero is a Professor in the Department of Mathematical Analysis at the Faculty of Mathematics, Universitat de València. He is a leading researcher in nonlinear partial differential equations, with a focus on nonlocal diffusion, evolution equations, and optimal transport in metric random walk spaces. His work bridges pure and applied analysis, with strong collaborations with mathematicians such as José M. Mazón and Julio D. Rossi. His research interests include: Nonlinear Partial Differential Equations Nonlocal Diffusion and Operators Calculus of Variations and Optimal Transport Evolution Problems in Metric Spaces Geometric Analysis and Minimal Surfaces Doubly Nonlinear and Degenerate Equations The recent articles show a consistent focus on analytical and geometric properties of nonlocal models, particularly in discrete and metric random walk settings. His work frequently appears in top journals such as Calculus of Variations , SIAM Journal on Mathematical Analysis , and Journal of Evolution Equations , often in collaboration with leading experts. The publications reveal a deep engagement with both theoretical foundations and structural analysis of solutions. He has co-authored influential books such as Nonlocal Diffusion Problems (AMS, 2010) and Variational and Diffusion Problems in Random Walk Spaces (Birkhäuser, 2023), which are key references in the field. His research is highly cited, indicating significant impact in the mathematical community. He advises no publicly listed students in the provided data. There is no mention of specific grants or teaching roles, but his extensive publication record and book authorship reflect a sustained and high-level research career. He maintains an active research profile with upcoming events such as the 2025 CIMPA-UCA School on optimal transport and PDEs, suggesting ongoing leadership and contribution to the international mathematical community.