جست‌وجوی استاد و پژوهشگر

• Experimental Economics
• Behavioral Economics
• Neuro-Economics
• +۷ مورد دیگر

Rosemarie Nagel is an ICREA Research Professor in the Department of Economics at Universitat Pompeu Fabra (UPF). She holds a PhD from the University of Bonn (1994) under Reinhard Selten. Her research bridges economic theory with behavioral insights, focusing on experimental economics, neuroeconomics, and game theory. She has pioneered the level-k reasoning model in Keynesian beauty-contest experiments and explored bounded rationality through lab and neuroscientific methods. Her work spans macroeconomic experiments, industrial organization, and strategic behavior analysis. She has been a full professor at UPF since 2006 and joined ICREA in 2007. Education: PhD in Economics, University of Bonn, 1994 (Advisor: Reinhard Selten) Postdoctoral work with Al Roth at University of Pittsburgh, 1994-1995 Research Interests: Experimental Economics (macro and micro), Neuro-Economics, Geno-Economics, Game Theory, Industrial Organization, Negotiation. Her methods integrate cognitive models, laboratory experiments, and neuroscience tools to study human decision-making. Key Contributions: Her work on strategic uncertainty in coordination games and neural correlates of strategic thinking has been published in top journals like American Economic Review , Econometrica , and Review of Economic Studies . She co-organizes macroeconomics and computational economics workshops. Professional Activities: Editor for Games and Economic Behavior , frequent speaker at international conferences, and advisor to policy institutions. Her lab focuses on experimental design and neuroeconomic applications.

Adrián García Gutiérrezمشاهده پروفایل

استاد

• Aerospace Engineering
• Uncertainty Quantification
• Computational Fluid Dynamics
• +۳ مورد دیگر

Adrián García Gutiérrez is a Professor in the Department of Aerospace Engineering at the University of León's College of Engineering. His research focuses on aerospace systems, uncertainty quantification in CFD, atmospheric boundary layer modeling, and airship technology. Recent publications highlight his work in parallel orbital propagation algorithms, stochastic optimization of high-altitude platforms, and neural network applications for wind profiling. Key trends include aerodynamic modeling under uncertainty and interdisciplinary approaches combining turbulence analysis with LiDAR measurements. He contributes to educational innovation in aerospace engineering through simulation-based learning tools and leads the GITA Tecnología Aeroespacial research group.

DANIEL CORES COSTAمشاهده پروفایل

استادیار

• Computer Vision
• Deep Learning
• Machine Learning
• +۳ مورد دیگر

Daniel Cores Costa is an Assistant Professor at the University of Santiago de Compostela, affiliated with the Department of Electronics and Computing under the Higher Technical School of Engineering. His research focuses on advanced computer vision techniques, including spatio-temporal convolutional neural networks, few-shot learning, and generative adversarial networks (GANs) for small object detection. He earned his Doctorate from the same university in 2022 with a thesis titled Spatio-temporal convolutional neural networks for video object detection , advised by Dr. Victor Manuel Brea Sánchez and Dr. Manuel Mucientes Molina. His work spans video object detection, medical imaging applications (e.g., COVID-19 diagnosis), and autonomous systems like UAV navigation. Key areas include improving data efficiency via pseudo-label mining, enhancing GAN-based data augmentation pipelines, and developing spatio-temporal feature aggregation techniques for dynamic scenes. He collaborates with the GSI Group (Intelligent Systems Group) , contributing to interdisciplinary projects at the intersection of AI, robotics, and healthcare. Publications highlight trends in few-shot learning for medical imaging, video-language evaluation benchmarks (TVBench), and real-time UAV-based object detection. Notable contributions address challenges in small object detection in videos and X-ray vision systems. His research emphasizes practical applications in healthcare diagnostics and autonomous systems. Despite no explicit mention of awards or grants, his prolific publication record (2015–2025) underscores sustained academic engagement. Advising details are unavailable, but his involvement in thesis supervision and collaborative groups like GSI indicates active mentorship.

Juan Alcalde Martínمشاهده پروفایل

پژوهشگر

• Geophysics
• Seismic Imaging
• Carbon Capture and Storage
• +۹ مورد دیگر

Juan Alcalde Martín is a Permanent Researcher at the Institute of Earth Sciences Jaume Almera (GEO3BCN-CSIC), a leading research institution under the Spanish National Research Council. He holds a PhD in Earth Sciences from the University of Barcelona and has held research positions at prestigious institutions including the University of Aberdeen and the University of Edinburgh. His work focuses on geophysical characterization of the subsurface for energy and environmental applications. PhD in Earth Sciences, University of Barcelona (2014) Master’s in Geophysics, University of Barcelona (2011) Bachelor’s in Geology, University of Salamanca (2008) Dr. Alcalde Martín's research spans geophysics, carbon capture and storage, geothermal energy, seismic imaging, and reservoir characterization . He investigates subsurface structures using seismic reflection data, with a focus on uncertainty, fracture networks, and the application of geoscience to climate change mitigation. His recent work emphasizes negative emissions technologies and the repurposing of geological formations for hydrogen and CO2 storage. His 15 most recent publications (2024–2025) reveal a strong trend toward climate-relevant geoscience , particularly in carbon storage, geothermal potential in the Iberian Peninsula, and subsurface energy storage. He integrates AI and advanced seismic methods to enhance subsurface analysis, contributing to energy transition strategies and sustainable resource management. His scientific achievements have been recognized with several honors: PhD awarded Cum Laude with International Mention 2017 Best Recent Paper Award, AAPG Petroleum Structure and Geomechanics Division Finalist for Image of the Year, British Geophysical Association Dr. Alcalde has been involved in numerous research projects funded by international and national agencies, collaborating with institutions across Europe. He has mentored students and early-career researchers through fellowships and collaborative projects, though specific advisees are not listed. He is actively engaged in knowledge dissemination through conferences and high-impact publications. He is a key contributor to major research initiatives such as the UnriDDLE Project and maintains leadership in developing databases like the Iberian Evaporite Structure Database (IESDB), supporting interdisciplinary teams focused on energy, carbon, and nuclear waste storage solutions.

Enrique Alegre Gutiérrezمشاهده پروفایل

استاد

• Computer Vision
• Pattern Recognition
• Machine Learning
• +۷ مورد دیگر

Enrique Alegre Gutiérrez serves as a Full Professor and Head of the Research Group for Vision and Intelligent Systems (GVIS) at the Department of Electrical, Systems, and Automation, University of León, Spain. His academic credentials include a Master of Science in Electrical Engineering from the University of Cantabria (1994) and a Ph.D. from the University of León (2000), where his doctoral thesis focused on content-based image retrieval systems supervised by Dr. Ángel Alonso Álvarez and Dr. Eduardo Mora Monte. Professor Gutiérrez's research spans critical domains of artificial intelligence and engineering: Computer Vision and Pattern Recognition for medical diagnostics and industrial automation Machine Learning specializing in learning under uncertainty (minimax strategies, quantification), neural networks, and feature selection Natural Language Processing and Computer Vision applications for crime prevention Cross-cutting applications in cybersecurity, quality assessment, and image processing As leader of the GVIS research group, his work demonstrates significant real-world impact across healthcare, manufacturing, and public safety domains through applied intelligent systems research.

• Robotics
• Motion Planning
• Collaborative Robotics
• +۴ مورد دیگر

Dr. Jan Rosell Gratacòs is an Associate Professor at the Universitat Politècnica de Catalunya (UPC) , affiliated with the Institute of Organization and Control of Industrial Systems (IOC-UPC) and the Department of Systems Engineering, Automatic and Industrial Informatics . Since 1992, he has conducted robotics research focusing on task and motion planning , mobile manipulation , and collaborative robotics . BS and PhD in Telecomunication Engineering from UPC (1989, 1998) Professor Associat (1996–2001), then Professor Titular (since 2001) His research bridges robot autonomy , knowledge-based frameworks , and human-robot interaction . Key contributions include: Hybrid planning algorithms integrating perception and reasoning Ontology-driven approaches for robotic cognition Physics-based motion planners for uncertain environments Human-likeness evaluation in dual-arm robot demonstrations Recent work (2020–2022) emphasizes collaborative robotics for industrial applications, addressing collision avoidance and cycle time optimization in multi-robot systems. Earlier studies (2017–2019) focused on skill-based manipulation , grasping motions , and knowledge processing frameworks , while foundational work (2013–2005) tackled medical imaging reconstruction and polishing automation.

• Operations Research
• Mathematical Programming
• Fuzzy Optimization
• +۸ مورد دیگر

Maria Teresa León Mendoza is an Associate Professor in the Department of Statistics and Operations Research at the Faculty of Mathematics, Universitat de València. She is affiliated with the IARM (Image Analysis, Modelling and Retrieval) research group, reflecting her interdisciplinary work in data analysis and image processing. Doctorate: Universitat de València, 1992 Thesis: Un algoritmo primal para el problema continuo de programación semi-infinita lineal Supervisor: Dr. Enriqueta Vercher González Her research focuses on Operations Research , Mathematical Programming , and Fuzzy Optimization , with significant contributions to semi-infinite programming, data envelopment analysis (DEA), and portfolio selection under uncertainty. She has also applied mathematical methods to diverse areas such as image retrieval and musical tuning systems, demonstrating a broad interdisciplinary reach. Her publication record since 1992 shows a consistent focus on optimization under uncertainty, fuzzy methods for decision-making, and numerical algorithms. She frequently collaborates with researchers like Vicente Liern and Enriqueta Vercher, and her work is published in top journals such as European Journal of Operational Research and Fuzzy Sets and Systems . There is no mention of scientific awards in the provided sources. Maria Teresa León Mendoza has supervised at least one PhD student (Dr. Enriqueta Vercher González, who later became her supervisor, suggesting a long-standing academic collaboration), and she has been involved in multiple research projects, though specific grant details are not listed. Her work bridges theoretical optimization and practical applications in economics, finance, and engineering. She is actively involved in the IARM research group, which specializes in image analysis and retrieval, indicating ongoing research in machine learning and pattern recognition applications.

• Computer Graphics
• Image Processing
• Scientific Visualization
• +۲ مورد دیگر

Miquel Feixas is an Associate Professor in the Department of Computer Science, Applied Mathematics and Statistics at the University of Girona. He is a key member of the Graphics and Image Laboratory (GILab), where he contributes to cutting-edge research in computer graphics, image processing, and scientific visualization. His research focuses on the application of Information Theory to visual computing domains. This includes modeling visual attention, optimizing rendering pipelines, enhancing image quality assessment, and improving scientific data visualization through entropy and mutual information metrics. The analysis of his recent publications reveals a sustained focus on information-theoretic modeling across computer graphics and image analysis. His work bridges theoretical foundations with practical applications in medical imaging, 3D modeling, and data visualization, demonstrating consistent innovation over more than a decade. Scientific Contributions: Co-author of two books on information theory in graphics and image processing Over 100 peer-reviewed publications in top-tier venues Supervision of six doctoral theses Participation in over 20 publicly funded R+D projects Advising and Research Leadership: Miquel Feixas has directed six PhD theses and is actively involved in research management through GILab. His work is supported by multiple competitive grants, reflecting sustained funding and academic impact. He collaborates extensively within interdisciplinary teams focused on visual computing. Research Group: He is an integral member of the Graphics and Image Laboratory (GILab) at the University of Girona, a research group dedicated to advancing graphics, imaging, and visualization technologies through novel computational methods.

Raul de la Fuente Carballoمشاهده پروفایل

استاد

• Optics
• Materials Science
• Photonics
• +۵ مورد دیگر

Raul de la Fuente Carballo is a Professor in the Department of Applied Physics at the University of Santiago de Compostela, affiliated with the Faculty of Physics and the Materials Institute (iMATUS). He is part of the Strategic Grouping in Materials (AEMAT) and leads the NaFoMat research group, focusing on nanomaterials, photonics, and soft matter. His academic background includes a doctoral thesis on refractive and diffractive phenomena induced by cross-phase modulation, completed in 1992 under the supervision of Dr. Jesús Liñares Beiras. His research interests span advanced optical phenomena, ionic liquids, and materials science. Key areas include surface plasmon resonance, microcavity physics, refractive index engineering, and optical instrumentation design. He has pioneered work in spectral interferometry for dispersion measurements and contributed to optimizing imaging spectrometers like the Offner and Dyson configurations. De la Fuente Carballo’s publications emphasize experimental and theoretical studies on ionic liquids’ optical properties, nonlinear absorption effects, and novel material characterization techniques. His group has developed innovative methods for measuring refractive index in absorbing media and improving spectrometer calibration accuracy. Despite his prolific output, no specific scientific awards are explicitly listed in the provided materials. He has advised numerous researchers through his affiliation with the Materials Institute, though specific student names are not documented here. His experimental work integrates optical metrology with material synthesis, bridging fundamental physics and applied technologies. Current research directions include thermochromic ionic liquids and high-precision optical component fabrication.

• Fuzzy logic operators
• Image processing under uncertainty
• Artificial intelligence
• +۴ مورد دیگر

Dr. Marc Munar Covas is an Assistant Professor at the Department of Mathematical Sciences and Computer Science, University of the Balearic Islands, where he has worked since 2020. He holds a PhD in Information and Communication Technologies (2024), a Master in Intelligent Systems (2020), and a Bachelor in Mathematics (2019) from the same institution. His research focuses on theoretical and applied aspects of fuzzy logic operators, mathematical morphology, and artificial intelligence. He has contributed to abdominal surgery image processing through the development of the clinically validated mobile application Redscar , which detects infection signs using AI analysis of patient photographs and health questionnaires. Currently undergoing multicenter validation, this tool aims to improve postoperative care in Spanish hospitals. He has also developed MIA4LUNG , a web platform for lung region segmentation and pathology detection (e.g., COVID-19, tuberculosis) using deep learning and information aggregation techniques. As a member of the Soft Computing, Image Processing and Aggregation (SCOPIA) research group and collaborator of the Graphics and Computer Vision Unit and Artificial Intelligence (UGIVIA), he has participated in national and regional competitive projects. His international research experience includes a three-month stay at LORIA (Nancy, France). Teaching activities center on mathematical analysis and statistics across multiple degree programs, including dual degrees in Mathematics with Computer Engineering and Telecommunications Engineering. He has taught courses like Integral Calculus in Several Variables , Statistics , and Linear Algebra Methods since 2020.

Josep Maria Porta Pleiteمشاهده پروفایل

پژوهشگر

• Motion Planning
• Computational Robotics
• Robot Kinematics
• +۷ مورد دیگر

Josep Maria Porta Pleite is an Associate Researcher at the Institut de Robòtica i Informàtica Industrial (IRI), a joint center of the Spanish National Research Council (CSIC) and Universitat Politècnica de Catalunya (UPC). He leads the Kinematics and Robot Design (KRD) research group and has been actively contributing to robotics and computational kinematics since 2007. His work bridges theoretical algorithm development and practical applications in robotics, molecular biology, and environmental toxicology. Porta’s research spans motion planning , robot kinematics , SLAM , and planning under uncertainty . He has made significant contributions to solving complex kinematic problems in closed-chain systems and molecular conformational spaces. His work often involves developing efficient algorithms and open-source software tools such as the CuikSuite , Cuik-KDtree , and Pose SLAM , which are widely used in robotics research. His recent publications (2019–2025) reveal a strong trend toward interdisciplinary applications, particularly in zebrafish behavioral analysis and neurotoxicology , where computational methods are applied to assess environmental contaminants. He also continues to advance core robotics problems, including trajectory optimization, hand-eye calibration, and closed-form solutions in rotation geometry. His work appears in top-tier journals such as IEEE Transactions on Robotics , Mechanism and Machine Theory , and Science of the Total Environment . Porta has served as an associate editor for IEEE Transactions on Robotics (2015–2018) and has supervised numerous students and collaborators. He has led long-term software development efforts and secured research funding through national and European projects. Scientific Contributions: Lead developer of the CuikSuite for motion analysis of closed-chain systems. Coordinator of the KRD research group since 2011. Contributor to ambient intelligence and robot localization during his postdoc at the University of Amsterdam. He advises multiple students in robotics, computer vision, and biomedical applications, and his team develops tools for path planning, singularity analysis, grasp optimization, and molecular modeling. There is no indication of part-time status, retirement, or former affiliation.

• Robotics
• Electronics
• Autonomous Vehicles
• +۷ مورد دیگر

María Soledad Escudero Hernanz is a Full Professor in the Electronics Department at the University of Alcalá's School of Engineering. With extensive experience in both teaching and research, she has been actively contributing to the university community since at least 2005. Her research focuses on several cutting-edge areas within robotics and electronics, with particular emphasis on service robotics and transportation safety applications. Professor Escudero Hernanz is an active member of the 'Robótica de Servicios y Tecnologías para la Seguridad Vial - Service Robotics and e-Safety' research group, where she contributes to multiple research lines including autonomous driving systems, intelligent control for robotics, driver monitoring technologies, and mobile robot navigation. Her scholarly output shows a consistent pattern of research focused on practical applications of robotics and computer vision technologies. The analysis of her publications reveals a strong emphasis on transportation safety systems, with numerous projects related to driver monitoring, distraction detection, and advanced driver assistance systems. She has also made significant contributions to assistive robotics and multi-robot navigation systems. Professor Escudero Hernanz has been involved in numerous research projects funded by various entities including: Spanish Ministry of Economic Affairs and Digital Transformation Community of Madrid University of Alcalá Spanish Foundation for Science and Technology (FECYT) Her work demonstrates a strong commitment to both fundamental research and practical applications, particularly in the areas of transportation safety and assistive technologies. As an educator, she teaches Circuit Electronics and Digital Electronics across multiple engineering programs, contributing to the development of future engineers in various specializations. Her collaborative approach is evident through her long-standing research partnerships with colleagues at the University of Alcalá, particularly with Rafael Barea Navarro, María Elena López Guillén, and Luis Miguel Bergasa Pascual, with whom she has worked on multiple projects spanning more than a decade.