جستجوی استاد راهنمای دانشگاهی

Juan Medina Contrerasمشاهده پروفایل

استاد

• Film Studies
• Communication
• Political Communication
• +۷ مورد دیگر

Juan Medina Contreras is a faculty member at the Faculty of Communication, University of Salamanca . He holds a Doctorate in Communication , a Degree in Journalism , an Expert in Gender and Communication , and a Master in Screenwriting and Political Image Consulting . His career spans academic research, teaching, and professional training in communication. His research focuses on film studies , political communication , gender representation , and visual rhetoric . Notable contributions include analyzing female archetypes in the [REC] saga, the portrayal of defense organizations in the Marvel Cinematic Universe, and the role of cinematic editing in shaping political and cultural narratives. His 15 most recent publications span 2014–2021 , with recurring themes in Spanish cinema , gender dynamics , political advertising , and historical memory . He has also explored digital photography ethics and citizen journalism challenges. While no scientific awards are explicitly mentioned, his work includes a research study on quality of life for disabled women in Palencia (2014). He has supervised theses and contributed to books like Género negro sin límites (2019) and La estética televisiva en las series contemporáneas (2018).

• Cognitive Neuroscience
• Bilingualism
• Infant Cognition
• +۳ مورد دیگر

Nuria Sebastian Galles is a Full Professor at the Universitat Pompeu Fabra (UPF), affiliated with the Department of Engineering and the UPF Center of Studies in Natural and Artificial Intelligence. Her career includes roles as Associate Professor (University of Barcelona, 1988-2002) and Full Professor (since 2002). She leads the Speech Acquisition and Perception (SAP) Research Group and coordinates major projects such as the BRAINGLOT consortium on bilingualism and cognitive neuroscience. Dr. Galles has received notable awards including the James S. McDonnell Foundation Award and ICREA Academia Prize, and served on the European Research Council Scientific Council. Her research focuses on cognitive neuroscience, bilingualism, and infant language development, leveraging EEG, brain imaging, and behavioral studies. Education: PhD in Experimental Psychology (University of Barcelona, 1986), postdoctoral training at Max Planck Institute and LSCP-CNRS (Paris). Visiting scholarships include University of Pennsylvania, University College London, and University of Chicago. Research Interests: Bilingualism's impact on cognition, neurobiological foundations of language acquisition, infant speech perception, and social cognition. Current projects include ERC-funded studies on attention-language links and cognitive effects of walnut consumption in adolescents. Publications: Over 100 peer-reviewed articles in journals like Science , PNAS , and Developmental Science , with a focus on bilingualism, phonetic categorization, and social hierarchy processing in infants. Editor of Developmental Science and Language Learning and Development . Grants & Teams: ERC Advanced Grant (Under Control), Consolider-Ingenio 2010 (BRAINGLOT). Lab collaborations include multi-country studies on traffic pollution’s cognitive impact and walnut-based dietary interventions.

• Quantum Optics
• Photonics
• Nanotechnology
• +۳ مورد دیگر

Prof. Valerio Pruneri is an ICREA Professor and Group Leader at the Institute of Photonic Sciences (ICFO), holding the Corning Inc. Chair in Optoelectronics. He leads a research group focused on quantum optics, nanophotonics, and biomedical imaging. His academic background includes a PhD in Laser Physics from the University of Southampton (UK). Research interests span quantum communication technologies, plasmonic sensors, and nanomaterials for optical applications. Recent advancements include work on quantum key distribution systems, graphene-based devices, and super-sensitive phase imaging techniques. Articles highlight innovations in quantum-enhanced imaging, integrated photonic circuits, and hyperbolic metamaterials. His team collaborates on EU projects like NANO-GLASS ITN and FLIGHT, with a strong emphasis on translational research. Over 50 students and researchers are advised, many funded by national and international grants (e.g., Agencia Estatal de Investigación, CELLEX Foundation). Key lab facilities include state-of-the-art cleanrooms and optical characterization tools.

Fernando Sánchez-Figueroaمشاهده پروفایل

استاد

• Software Engineering
• Big Data
• Business Intelligence
• +۳ مورد دیگر

Fernando Sánchez-Figueroa is a Full Professor at the University of Extremadura's Department of Computer Systems Engineering and Telematics. He is a co-founder of Homeria Open Solutions, a spin-off engaged in R&D projects under EU frameworks. His research focuses on Software Engineering, Machine Learning, Data Visualization, and Ambient Intelligence. He has authored over 50 scientific articles and led numerous R&D contracts with public and private entities. Key roles include: Academic: Full Professor at University of Extremadura Entrepreneur: Co-founder of Homeria Open Solutions Research: Participation in EU-funded projects and development of AI-driven solutions for healthcare, smart cities, and education Research Interests: Machine Learning applications in healthcare, predictive analytics for education, and sustainable smart city technologies. His work bridges theoretical advancements with practical implementations, such as medical image segmentation using SAM models and cost-efficient UAV systems. Publications: Recent works include decision support systems for employability analysis, zero-shot learning in medical imaging, and recommender systems for education. He emphasizes data-driven approaches and model-driven engineering in software development. Impact: Developed tools like CompareML for preliminary data analysis and LiveSankey for advanced web visualization. His contributions span academia and industry, addressing challenges in healthcare, urban sustainability, and educational technology.

Frank NIELSENمشاهده پروفایل

استاد

• Data science
• Geometric science of information
• Information geometry
• +۴ مورد دیگر

Frank NIELSEN is a Professor at École Polytechnique with expertise in information geometry, data science, and machine learning. He holds a PhD (1996) and HDR (2006) in computer science and has established himself as a leading researcher in geometric approaches to information science. His educational background includes a PhD in computer science (1996) followed by a Habilitation à Diriger des Recherches (HDR) in 2006, the highest academic qualification in France that qualifies one to supervise doctoral candidates. Dr. NIELSEN's research focuses on the Geometric Science of Information , where he develops theoretical frameworks for understanding data through geometric and information-theoretic lenses. His work bridges Computational information geometry Statistical manifold theory Bregman divergences and their applications Machine learning with geometric foundations High-dimensional data analysis He aims to address the challenge of inappropriate data representation in current Data Science by building a theory of Computational Information Geometry to enable Intrinsic Data Science with principled distances. His extensive publication record shows a clear trend toward developing geometric frameworks for understanding statistical divergences, with recent work focusing on Bregman geometry, Fisher-Rao metrics, and their applications in machine learning. His research spans theoretical developments in information geometry to practical implementations like the pyBregMan Python library, demonstrating both theoretical depth and practical relevance. Dr. NIELSEN has made significant contributions through his teaching and publications. He has taught courses at École Polytechnique including INF442, INF517, and INF591. His authored textbooks include Introduction to HPC with MPI for Data Science (2016), A Concise and Practical Introduction to Programming Algorithms in Java (2009), and Visual Computing: Geometry, Graphics, and Vision (2005). He has also edited influential volumes such as Computational Information Geometry for Image and Signal Processing (2016) and Geometric Theory of Information (2014). He actively organizes and participates in academic events, serving on program committees for major conferences including GSI (Geometric Science of Information), CVPR, and ICCV. His work has established him as a key figure in the growing field of geometric approaches to information science.

Mariano Cabezasمشاهده پروفایل

پژوهشگر

• computer vision
• medical imaging
• magnetic resonance imaging (MRI)
• +۵ مورد دیگر

Mariano Cabezas is a researcher in medical imaging and computer vision, currently affiliated with Macquarie University and as an affiliate at the University of Sydney . His work focuses on automating brain MRI analysis for pathologies like multiple sclerosis, Alzheimer's disease, and tumors, with additional contributions to UAV image analysis. PhD in Computer Science (2013), University of Girona MSc in Automation, Computation, and Systems (2010), University of Girona BSc in Computer Science (2009), University of Girona Research Interests : Specializes in magnetic resonance imaging , lesion detection , deep learning , and image processing , with applications in multiple sclerosis , hearing loss , and UAV-derived ecological data . His recent work includes federated learning frameworks for cross-site MS lesion segmentation and pseudo-labeling techniques for longitudinal brain volume estimation. Publication Trends : Over the past five years, his research has emphasized federated learning (4 articles), lesion segmentation (9 articles), and UAV image analysis (3 articles), with a strong focus on clinical validation and cross-institutional collaboration. Labs & Collaborations : Contributed to the NIC-VICOROB group at the University of Girona and maintains affiliations with the Research Institute of the Hospital Vall d'Hebron (VHIR) in Barcelona and Macquarie University in Sydney. Actively develops open-source tools hosted on GitHub.

• Precision Agriculture
• Optical Engineering
• Remote Sensing
• +۳ مورد دیگر

Dr. Jose Manuel Sánchez Peña is a Full Professor at Universidad Carlos III de Madrid (UC3M), affiliated with the Grupo Universitario de Tecnologías de Identificación (GUTI). His research focuses on precision agriculture technologies, optoelectronics, and neuroscientific interfaces. He leads projects on drone-based crop monitoring, renewable energy systems, and machine learning applications in environmental science. Key research areas include: UAV remote sensing for water stress and weed management in viticulture and maize Optical communication systems leveraging photovoltaic integration Machine learning models for precision agriculture Neuroscientific studies on multisensory emotion elicitation Publishing trends show strong focus on: Drone technology advancements (42% of recent articles) Optoelectronics and VLC systems (28% of recent articles) Neuroscience applications (15% of recent articles) Sustainable agricultural practices (12% of recent articles) Laboratory activities center around GUTI's interdisciplinary teams working at the intersection of engineering, agriculture, and neurotechnology.

• Optics
• Visual Sciences
• Medical Optics
• +۳ مورد دیگر

Sergio Barbero is an Associate Researcher at the Visual Optics laboratory of the Instituto de Óptica (CSIC), Spain, under the supervision of Prof. Susana Marcos. He holds a BSc in Physics from the University of Zaragoza (1999) and a PhD in Visual Sciences from the University of Valladolid (2004), which earned him the Doctoral Thesis Extraordinary Award (2005). His research focuses on optical aberrations, intraocular lens design, wavefront measurement techniques, and gradient-index modeling of ocular structures. Barbero has collaborated with international groups at Indiana University (USA), University of Houston (USA), and Australian institutions. His work includes pioneering studies on crystalline lens tomography, corneal ablation algorithms, and novel wavefront sensing methods. He has authored 16 peer-reviewed publications and contributed to a US patent on wavefront reconstruction techniques. His research spans three core areas: (1) intraocular lens design using analytical tools, (2) gradient-index modeling of the human eye, and (3) in vivo measurement of crystalline lens aberrations. He has secured grants from the Spanish government (I3P-CSIC), NIH (USA), and Fulbright fellowships. Barbero has presented 33 scientific talks/posters, including invited lectures, and maintains an h-index of 9. His work bridges fundamental optics with clinical applications in ophthalmology.

Julian Fierrezمشاهده پروفایل

استاد

• Biometrics
• Signal and Image Processing
• Artificial Intelligence
• +۶ مورد دیگر

Julian Fierrez is a Full Professor at the School of Engineering, Universidad Autonoma de Madrid. With an h-index of 74 and over 20,000 citations, his work spans biometrics, signal/image processing, artificial intelligence, and human-computer interaction. Key research areas include: Biometric anti-spoofing and DeepFakes detection Mobile and behavioral biometrics Bias/fairness in AI systems Biometric applications in e-health and education Security in multimodal biometric systems His recent publications show strong focus on deep learning applications for biometric security, with specific subfields including fake detection, keystroke authentication, facial analysis for Parkinson detection, and privacy-preserving AI. He serves as Associate Editor for multiple IEEE and Elsevier journals. Scientific distinctions include: IAPR Young Biometrics Investigator Award (2017) Miguel Catalan Award to Best Researcher under 40 (2017) EURASIP Best PhD Award (2012) EBF European Biometric Industry Award (2006) Prof. Fierrez leads the BiDA Lab and supervises students like Ruben Tolosana and Aythami Morales. Current projects include BBforTAI (Biometrics and Behavior for Unbiased & Trustworthy AI) and PRIMA (Privacy Matters). He also contributes to standardization efforts in biometric evaluation.

• 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.

Dario Fioreمشاهده پروفایل

استاد پژوهش

• Cryptography
• Computer Security
• Cloud Computing Security
• +۳ مورد دیگر

Dario Fiore is an Associate Research Professor at the IMDEA Software Institute in Madrid, Spain. He holds a Ph.D. in Computer Science from the University of Catania, Italy (2010), and has held postdoctoral positions at institutions including Max Planck Institute for Software Systems (Germany), New York University (USA), and École Normale Supérieure (France). His research focuses on Cryptography and Security, particularly designing provably-secure cryptographic primitives for Cloud computing applications, including secure data delegation, homomorphic authenticators, zero-knowledge proof systems, functional encryption, and homomorphic encryption. He advises multiple PhD students and has led projects like the ERC Consolidator Grant PICOCRYPT (2021–2026). He has been recognized with awards such as the ACM SIGMM Test of Time Honourable Mention (2022) and the IET Information Security Premium Award (2020). Education: Ph.D. in Computer Science, University of Catania, Italy (2010) Visiting Student: IBM T.J. Watson Research Center and New York University (USA) Research Interests Fiore’s work bridges theoretical and practical aspects of Cryptography, emphasizing efficiency and real-world applications. Key areas include: Secure delegation of computation/data to Cloud systems Homomorphic encryption and authenticators Zero-knowledge proof systems (e.g., zkSNARKs) and functional encryption Cryptography for privacy-preserving machine learning and decentralized systems Grants & Projects ERC Consolidator Grant PICOCRYPT (2021–2026) NEC Laboratories Europe collaboration (2024) ESPADA and PRODIGY EU projects Awards ACM SIGMM Test of Time Honourable Mention (2022) IET Information Security Premium Award (2020) ACM CCS 2022 Top Reviewer Award Labs & Teams Fiore leads a dynamic research group with active collaborations in cryptography, including postdocs, PhD students, and industry partnerships with Protocol Labs, Nomadic Labs, and Tezos Foundation.

• Biometrics
• Biometric Systems
• Computer Vision
• +۵ مورد دیگر

Raul Sanchez Reillo is a Full Professor at Universidad Carlos III de Madrid (UC3M), affiliated with the Grupo Universitario de Tecnologías de Identificación (GUTI). His research focuses on biometric systems, mobile authentication, and security technologies. Key areas include presentation attack detection, vein recognition, and ECG biometrics. He leads projects involving smartphone-based biometric solutions, 3D printed markers, and standards development for biometric interoperability. Research interests span multiple modalities: fingerprint authentication, dynamic signature verification, gait recognition, and vascular biometrics. He emphasizes usability and accessibility in mobile environments, exploring ergonomics and user interaction challenges. His work integrates machine learning (transformers, RNNs) with hardware solutions like FPGA-based systems. Publications highlight innovations in spoofing detection, medical applications (ECG/vein analysis), and low-cost hardware implementations. He contributes to European standards (BioAPI, Hand Data Interchange Format) and evaluates security practices for R&D compliance with EU data protection regulations. Current initiatives include enhancing biometric systems for critical infrastructure security and improving accessibility for elderly users. Active in interdisciplinary collaborations, he leads the Mobile Pass project evaluating user interaction in biometric systems. His lab (GUTI) develops open testing methodologies for biometric performance under Common Criteria and environmental stressors. Recent work addresses vulnerabilities in mobile fingerprint sensors and the ethical implications of biometric-as-a-service models.

Andrea Meilán-Vilaمشاهده پروفایل

استادیار

• Nonparametric Estimation
• Directional Statistics
• Kernel Smoothing
• +۳ مورد دیگر

Andrea Meilán-Vila is an Assistant Professor in the Department of Statistics at Universidad Carlos III de Madrid since 2021, holding a Juan de la Cierva Fellowship since 2023. She earned her PhD in Statistics from Universidade da Coruña (2021) and previously served as a Postdoctoral Fellow at Universidade de Santiago de Compostela's Department of Statistics, Mathematical Analysis and Optimisation. Her research focuses on nonparametric methods for analyzing complex data types, including directional, spatial, and functional data. Key areas include kernel smoothing techniques, goodness-of-fit testing for regression models, and spatial trend estimation. She serves as an Associate Editor for the Journal of Nonparametric Statistics . Recent work emphasizes applications in climate science (temperature curve modeling), fluid dynamics (wake flow control), and biomedical imaging (hippocampus shape analysis). Her methodologies address challenges like sparse data estimation and spatial correlation in regression frameworks. Key Projects: STENED (Stein-based goodness-of-fit tests for non-Euclidean data) Awards: Juan de la Cierva Fellowship (2023) Publications span journals like Journal of Fluid Mechanics , Statistical Papers , and TEST , with a focus on methodological advancements in statistical modeling and computational validation.

• Nanobioengineering
• Biosensors
• Biomedical Signal Processing
• +۳ مورد دیگر

Javier Gomez Fernandez is a researcher at the Nanobioengineering Group within the Institute for Bioengineering of Catalonia (IBEC), affiliated with the University of Barcelona. His work bridges nanotechnology and biomedical applications, focusing on advanced bioimaging and sensor development. Research Focus: Nanoscale bioelectrical characterization, smart nano-bio-devices, and molecular imaging Technological Impact: Development of low-power gas sensors and nanoscale membrane analysis tools His interdisciplinary approach contributes to fields like biomedical signal processing, biomaterials, and precision medicine. Recent projects highlight collaborations with clinical institutions and industrial partners to address challenges in muscular dystrophy and antimicrobial therapies. Key contributions include: 2020 IEEE Access paper on energy-efficient gas sensors 2010 PNAS study on nanoscale cell membrane characterization

Francesc Torresمشاهده پروفایل

استاد

• Remote Sensing
• Microwave Engineering
• Space Technology
• +۴ مورد دیگر

Francesc Torres is a Full Professor at the Signal Theory and Communications Department of the Universitat Politècnica de Catalunya (UPC-BarcelonaTech). He holds a Doctor Ingeniero degree in Telecommunication Engineering from UPC (1992) and has extensive experience in microwave systems and space instrumentation. His research focuses on remote sensing, interferometric radiometry, and the European Space Agency's SMOS mission. He co-leads the Barcelona SMOS Expert Centre for radiometric calibration and ocean salinity studies. Torres has contributed to numerous ESA projects and served as a visiting scholar at NASA's Jet Propulsion Laboratory (2005-2006). His work bridges engineering education, with publications on STEM pedagogy and early-career development, and advanced instrumentation for Earth observation. Education: Ingeniero en Telecommunication Engineering (1988) Doctor Ingeniero en Telecommunication Engineering (1992) Research Interests: His primary areas include microwave radiometry, spaceborne sensors, calibration methodologies, and the application of remote sensing to geophysical studies. He also explores educational strategies to enhance critical thinking and self-management skills in STEM students. Current projects involve improving SMOS data accuracy through novel calibration techniques and developing educational frameworks for sustainable engineering practices. Grants & Projects: Key contributions include the SMOS mission calibration validation (CALIMAS team), GeoSTAR pilot project (JPL), and SuperMIRAS instrument development. He has led efforts to mitigate systematic errors in SMOS data and pioneered polarimetric analysis methods for rain events and ionospheric studies. Labs/Teams: Director of the Remote Sensing Laboratory (UPC), collaborating with ESA, JPL, and international research networks. Active in the Barcelona SMOS Expert Centre and the SMOSOps-Hexagonal initiative for operational mission improvements.