جستجوی استاد راهنمای دانشگاهی

Daniel Cores Costa is an Associate Professor of Computer Science and Artificial Intelligence at the University of Santiago de Compostela (USC) and a researcher at the Research Center on Intelligent Technologies (CiTIUS). He completed his PhD in Research in Technologies in November 2022 with a dissertation on 'Spatio-temporal convolutional neural networks for video object detection' under the supervision of Victor Manuel Brea Sanchez. Dr. Cores Costa's research focuses on computer vision with specialized expertise in several interconnected areas: Video object detection leveraging spatio-temporal information Small object detection challenges Advancing few-shot learning techniques for object detection with limited training data Developing open-vocabulary and category-free detection approaches Practical applications in medical imaging (particularly COVID-19 diagnosis) and UAV technology His recent publications (2023-2025) demonstrate a strong research trajectory with multiple first-author papers in top venues including ICCV, BMVC, and CAIP, as well as high-impact journals. Dr. Cores Costa's work consistently addresses fundamental challenges in object detection while developing practical solutions for real-world applications across various domains. Key contributions include: Development of the Downsampling GAN for small object data augmentation Innovative approaches to few-shot object detection through pseudo-label mining (xPAND) Pioneering work on category-free detection using open-vocabulary models Creation of TVBench, a new temporal benchmark for video-language models Advancements in spatiotemporal tubelet feature aggregation for small object detection Dr. Cores Costa actively collaborates with researchers both within USC and internationally, as evidenced by his diverse co-authorship patterns. His research bridges theoretical computer vision with practical implementations, making significant contributions to both academic knowledge and real-world applications in healthcare, autonomous systems, and visual recognition technologies.

• Computer Vision
• Object Detection
• Video Object Detection
• +۷ مورد دیگر

Nicolás Vila Blanco is an Associate Professor at the University of Santiago de Compostela (USC), Spain, conducting research through CiTIUS (Centro de Investigación en Tecnoloxías da Información e as Comunicacións). His academic journey includes a PhD in Information Technology from USC and the University of Coruña (2022), an M.Sc. in Data Science and Computer Engineering from the University of Granada, and a B.Sc. in Computer Science from the University of Vigo. Dr. Vila Blanco's research focuses on medical image processing using Deep Learning techniques, with particular expertise in dental panoramic radiograph analysis, age and sex estimation, oral microbiome research, and medical imaging applications for conditions like COVID-19. His work bridges computer science and clinical dentistry/medicine, developing practical tools that address real clinical challenges. His publication record demonstrates consistent output in high-impact journals and conferences, with numerous Q1 publications across medical imaging, dentistry, and bioinformatics fields. His research shows a clear trajectory from theoretical AI development to practical clinical implementation, with emphasis on tools that can be readily adopted in medical practice. Dr. Vila Blanco has developed several important research tools including DenTiUS Deep Plaque software for automated dental plaque quantification, IDALib for efficient image data augmentation, and has contributed to PrimerEvalPy for microbiome primer evaluation. His clinical research has produced evidence on antimicrobial efficacy, dental plaque analysis methods, and diagnostic systems with real-world applicability. His collaborative approach is evident in his numerous co-authored publications spanning dentistry, microbiology, cardiology, and computer science departments. This interdisciplinary work positions him as a bridge between technical AI development and clinical healthcare applications.

• Medical image processing
• Deep Learning
• Computer Vision
• +۵ مورد دیگر

María Francisca Rosique Contreras serves as a Full Professor at the Polytechnic University of Cartagena, driving interdisciplinary research at the nexus of autonomous systems, agricultural technology, and rural development. Her work bridges technical innovation with societal impact through concrete applications in transportation, farming, and digital inclusion initiatives. Her research portfolio demonstrates three converging trajectories: (1) Pioneering autonomous driving systems using end-to-end deep neural networks for real-world vehicle control; (2) Advancing computer vision applications for agricultural challenges like grape berry segmentation under variable lighting; and (3) Leading rural development projects addressing digital isolation in Spain while empowering women through green entrepreneurship programs. These interconnected domains reflect her commitment to solving practical problems through technological innovation. Analysis of her 68 publications (2007-2025) reveals consistent growth in AI-driven solutions, with recent work emphasizing practical deployment in autonomous vehicles and agricultural imaging. Her scholarly output shows increasing focus on societal applications, particularly in bridging the digital divide and creating sustainable economic opportunities for rural communities. Professor Rosique Contreras actively mentors graduate students as evidenced by thesis supervision records and secures research funding for projects spanning autonomous vehicle development and rural empowerment initiatives. Her educational innovation work includes the VR360 UPCT project, demonstrating commitment to transforming teaching methodologies through immersive technologies.

• Autonomous Driving
• Computer Vision
• Digital Inclusion
• +۳ مورد دیگر

Antonia Garrido Frenich is a Professor in the Department of Chemistry and Physics at the University of Almería, Spain, where she leads the Analytical Chemistry of Contaminants research group. With an impressive publication record of 387 articles, 33 books or chapters, and numerous research projects, she has established herself as a leading expert in analytical chemistry for food safety and environmental monitoring. Her research focuses on developing advanced analytical methods for detecting contaminants in food and environmental samples. Key areas include pesticide residue analysis, plastic additives monitoring, food authenticity verification, and natural toxin detection. She specializes in high-resolution mass spectrometry techniques coupled with chromatographic methods, and has pioneered innovative approaches using green chemistry principles for sample preparation. Professor Garrido Frenich's recent work demonstrates a strong emphasis on emerging contaminants, particularly non-phthalate plastic additives in agricultural environments, and advanced techniques for food safety assessment. Her publications appear consistently in high-impact journals across food science, analytical chemistry, and environmental science disciplines. As an active Principal Investigator, she currently leads significant research projects including 'Analytical strategies for monitoring emerging contaminants derived from plastics in agricultural soils' (2023-2026) and 'NMR-CONTROL' for implementing nuclear magnetic resonance in food analysis laboratories. She has supervised numerous doctoral students and maintains an extensive collaborative network, evidenced by her co-authorship on publications with researchers from multiple institutions. Her work bridges analytical chemistry with practical applications in food safety and environmental protection.

• Analytical Chemistry
• Food Safety
• Pesticide Residue Analysis
• +۵ مورد دیگر

Professor Roberto Romero-González is a distinguished researcher in the Department of Chemistry and Physics at the University of Almería, Spain. With an extensive publication record of 257 articles and an h-index of 49 (Scopus), he leads the Analytical Chemistry of Contaminants Research Group and serves as Principal Investigator on multiple national research projects. His research focuses on analytical chemistry with emphasis on food safety and environmental contaminants. Key areas include pesticide analysis, plastic additives determination, natural deep eutectic solvents for green extraction, biopesticide residues, and food authentication. He has developed innovative methodologies using high-resolution mass spectrometry and chromatographic techniques for detecting contaminants in complex matrices. Professor Romero-González's recent publication trends show a strong focus on emerging contaminants, particularly non-phthalate plastic additives in environmental and food samples, and the application of natural deep eutectic solvents for sustainable analytical methodologies. His work spans food safety, environmental monitoring, and method development across multiple high-impact journals. As an educator and mentor, he has supervised numerous PhD and Master's students, with at least 9 theses listing him as director or co-director. His research group provides training in advanced analytical techniques and contributes to solving real-world problems in food safety and environmental contamination. His current research is supported by the project 'Estrategias analíticas para el control de contaminantes emergentes derivados de plásticos en suelos agrícolas' (2023-2026), continuing his long-standing commitment to developing analytical solutions for emerging contaminants in agricultural and food systems.

• Analytical Chemistry
• Food Safety
• Environmental Contaminants
• +۶ مورد دیگر

Jerzy Respondek serves as Professor at Silesian University of Technology's Department of Applied Computer Science within the Faculty of Automatic Control, Electronics and Computer Science, and concurrently as Visiting Scientist at Friedrich-Alexander-Universität Erlangen-Nürnberg's DCN-AvH Chair for Dynamics, Control, Machine Learning and Numerics – an Alexander von Humboldt Professorship. His research centers on numerical analysis with groundbreaking contributions to computational linear algebra, particularly fast matrix multiplication algorithms and confluent Vandermonde matrix inversion. His work bridges theoretical mathematics and practical applications in artificial intelligence, big data processing, and high-performance computing, emphasizing algorithmic efficiency and numerical stability. Recent publications reveal consistent scholarly impact, including a 2025 Springer monograph synthesizing fast matrix techniques with concrete implementations, and corrections to foundational algorithms demonstrating rigorous scholarly oversight. His research trajectory shows increasing focus on AI-optimized numerical methods while maintaining deep roots in classical matrix computation. As a reviewer for SIAM Review and IEEE Transactions since 2018, Professor Respondek contributes to scholarly quality control in computational mathematics. His affiliation with the Humboldt Professorship chair provides access to international collaborations and advanced research infrastructure, supporting his work in dynamics and machine learning applications. While specific student supervision details aren't provided, his professorial role indicates active mentorship in computational mathematics. His laboratory work is integrated within FAU's DCN-AvH Chair environment, focusing on numerical implementations for machine learning systems and control theory applications, leveraging the chair's interdisciplinary framework connecting dynamics, control, and computational mathematics.

• Numerical Analysis
• Computational Linear Algebra
• Fast Matrix Algorithms
• +۳ مورد دیگر

Xabier Angulo Vinuesa is a Lecturer at the University of Deusto's Department of Information, Electronic and Communication Technologies. He also serves as an Advanced Sensor Engineer in Gestamp's Industry 4.0 Department, providing services to the company's plants by connecting and collecting data from production processes. PhD in Electronics from the University of Alcalá Former member of a joint research group between the University of Alcalá and CSIC (2010-2016) Worked on holograms for photovoltaic cells (2016-2017) Digitalization of industrial welding via vision technologies (2017-2022) His research interests span sensors , Industry 4.0 , optical fiber systems , and deep learning applications in industrial processes. At Gestamp, he focuses on advanced sensing solutions for manufacturing optimization. While no scientific awards are documented in the provided text, his career highlights include industrial R&D projects in photovoltaics and intelligent image processing. He contributes to academic education through lecturing in the Master's Degree in Computing and Intelligent Systems . Labs & Teams : Collaborated with CSIC research group Industry 4.0 Department at Gestamp

• Electronics
• Sensors
• Industry 4.0
• +۵ مورد دیگر

Christian Mata Miquel is a Lecturer in the Department of Systems, Automatic and Industrial Informatics Engineering at the Barcelona East School of Engineering, part of the Polytechnic University of Catalonia (UPC). He is affiliated with the Institute of Research and Innovation in Health and actively contributes to the BIOCOM-SC (Computational Biology and Complex Systems) research group as well as the ANCORA subgroup focused on cardiac rhythm analysis. His research interests center around medical imaging, computer vision, and artificial intelligence with specific applications in biomedical engineering. Dr. Mata Miquel's work spans various subfields including medical image processing, neuroimaging analysis, pediatric imaging applications, and computational biology. His research bridges engineering and healthcare, developing computational tools for clinical applications. Analysis of his recent publications reveals a strong focus on applying deep learning techniques to medical imaging challenges, particularly in neuroimaging and pediatric applications. His work shows consistent progression toward more sophisticated AI methodologies with emphasis on segmentation, enhancement, and diagnostic support systems. The publications span high-impact journals and conferences in medical imaging, computer vision, and biomedical engineering. CaixaResearch Institute Fund for the Innovation Hub Dr. Mata Miquel participates in numerous competitive R&D projects, including the AI-CARdiology Advanced Monitoring cloud-Based platform and the Pediatric Computational Imaging Center at Hospital Sant Joan de Déu. His research collaborations extend across multiple institutions, with significant contributions to wildfire monitoring systems and medical imaging applications. He serves on scientific committees for conferences including the 18th Multi Conference on Computer Science and Information Systems and the 37th IEEE International Symposium on Computer-Based Medical Systems. His work is conducted through the BIOCOM-SC research group and the ANCORA subgroup, focusing on computational approaches to biomedical problems. Current projects include developing AI-enhanced tools for brain morphometry analysis, prostate cancer segmentation, and pediatric neuroimaging applications, demonstrating the integration of engineering expertise with clinical healthcare needs.

• Medical Imaging
• Computer Vision
• Artificial Intelligence
• +۳ مورد دیگر

Professor Marcello Ruiz is a faculty member at Universidad de Las Palmas de Gran Canaria (ULPGC), affiliated with the College of Engineering and Architecture's Department of Signals and Communications. He leads the Image Processing and Remote Sensing Research Group under the IU of Oceanography and Global Change, focusing on environmental monitoring through advanced remote sensing techniques. His research integrates AI and satellite technologies to address ecological challenges, with core interests in: Coastal ecosystem vulnerability assessment Forest degradation and fire mapping Super-resolution of satellite imagery Machine learning for multispectral/LiDAR analysis Oceanographic pattern detection Recent publications demonstrate strong emphasis on AI-driven methodologies, with 2023-2024 works focusing on GANs for image enhancement, forest conservation algorithms, and coastal habitat monitoring using high-resolution sensors. His team consistently publishes in Q1 journals including IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing. Professor Marcello actively advises graduate students, with supervised theses covering UAV-based forest analysis, coastal bathymetry, and oceanographic eddy detection. He maintains collaborations through IEEE GRSS Spain Chapter and develops tools for environmental agencies needing satellite-based ecosystem monitoring solutions.

• Remote Sensing
• Satellite Imagery Analysis
• Coastal Ecosystem Monitoring
• +۳ مورد دیگر

Dr. Juan Antonio Rodríguez Sánchez is a Professor in the Department of History of Science at the Faculty of Medicine, University of Salamanca. His academic career spans several decades with a focus on the history of medicine, disability studies, and rare diseases. He is affiliated with the University Institute for Science and Technology Studies and leads research within the CAUSAL group (Academic Culture, Heritage and Social Memory) and IBERRARA, a Spanish-Portuguese research group studying polio, post-polio, and marginalized diseases. Dr. Rodríguez Sánchez earned his PhD from the University of Salamanca with a dissertation on "Historia de los balnearios de la provincia de Málaga" (1991), supervised by Dr. Antonio Carreras Panchón. His academic journey reflects a deep commitment to understanding the historical and social dimensions of medical practices and health policies, particularly as they relate to marginalized communities and diseases. His research interests encompass the History of Science, Disability Studies, Medical History, Rare Diseases, Polio Research, and the History of Emotions. Dr. Rodríguez Sánchez has made significant contributions to understanding how societal attitudes and media representations shape the experience of illness, particularly focusing on polio and post-polio syndrome in Spain and Portugal. His work explores the transformation from medical to social models of disability and examines historical constructions of rare diseases. Analysis of his recent publications reveals a consistent focus on the intersection of medical history, social representation, and patient experiences. His work demonstrates a methodological approach combining historical analysis with visual studies and social theory. Key thematic trends include the historical evolution of disease understanding, media representation of illness, patient advocacy movements, and the pedagogical applications of historical films in science education. Dr. Rodríguez Sánchez has been actively involved in educational innovation at the University of Salamanca, particularly in integrating virtual platforms into historical disciplines and developing specialized modules for humanities students. His work extends to examining early death awareness in medical education and the historical evolution of thermal medicine. As a member of the CAUSAL research group and co-founder of IBERRARA, he collaborates extensively on projects examining academic culture, heritage, and social memory, with a particular focus on marginalized diseases. His research has important implications for contemporary healthcare policy and patient advocacy, bridging historical scholarship with current medical humanities discourse.

• History of Science
• Disability Studies
• Medical History
• +۴ مورد دیگر

Jorge Franganillo is a Professor and researcher at the University of Barcelona's Faculty of Information and Audiovisual Media, where he coordinates the Master's Degree in Digital Content Management since 2023. He belongs to multiple teaching collectives including GIDD, CAV, CSM, GCD, and Contracted teaching staff. His international experience includes teaching positions at Hochschule der Medien (Stuttgart), Fachhochschule Kärnten (Villach), Jan Amos Komenský University (Prague), University of Dubrovnik, University of Bucharest, and Polytechnic University of Valencia. Dr. Franganillo holds a Doctorate in Information and Communication. His academic journey reflects a deep commitment to bridging theoretical knowledge with practical applications across various international contexts in the field of information science and audiovisual media. His research spans several interconnected domains focused on the evolving digital landscape. Franganillo investigates how individuals manage personal information across multiple devices and platforms, examining the psychological aspects of digital organization. He explores the application of artificial intelligence in content creation, particularly analyzing both the opportunities and ethical challenges presented by generative AI technologies. His work on digital formats management addresses the technical and organizational challenges of preserving digital information over time. Franganillo also contributes significantly to the field of clear language communication, particularly through his analysis of the ISO 24495-1 standard for plain language in official communications. His research on television nostalgia and segment programming reveals how audiovisual archives are being creatively repurposed in contemporary media. Franganillo's recent publications demonstrate a clear trajectory toward examining the intersection of emerging technologies with information management practices. His work increasingly focuses on AI applications across multiple domains - from library science to media production - while maintaining a critical perspective on ethical implications. He has expanded his research to include analysis of digital communication clarity in public administration and the psychological impact of AI-generated content on media consumers. His scholarly output shows a consistent pattern of addressing timely issues at the forefront of information science and digital communication. As coordinator of the Master's Degree in Digital Content Management, Franganillo guides numerous student projects and research initiatives. He has participated in significant European projects including eMEDia (2013-2017) and CRISH (2017-2018), demonstrating his capacity to secure and manage substantial research funding. His work with the UB DIBA Chair of Applied Communication to Public Administrations highlights his commitment to knowledge transfer between academia and public institutions. Franganillo actively participates in the Research Center for Information, Communication and Culture (CRICC) and the Teaching Innovation Group in Communication and Audiovisual Media (In-COMAV). These affiliations provide collaborative frameworks for his research and enable him to integrate theoretical insights with practical applications in educational settings. His involvement in these research groups facilitates interdisciplinary approaches to complex information challenges in contemporary society.

• Audiovisual Documentation
• Digital Formats Management
• Content Creation
• +۷ مورد دیگر

Marta Somoza Fernández is a Professor in the Department of Library Science, Documentation and Audiovisual Communication at the Faculty of Information and Audiovisual Media, University of Barcelona. With over two decades of academic experience since 1999, she has established herself as a prominent figure in information science and library studies. Dr. Somoza Fernández holds a degree in Contemporary History (1989), Cultural Anthropology (1995), and a doctorate in Documentation (2009), all from the University of Barcelona. Her academic journey reflects a deep commitment to the evolution of information management and scholarly communication. Her research focuses on documentary databases, information retrieval systems, bibliometric studies, and user training methodologies. She has pioneered approaches to evaluating interactive tutorials developed by academic libraries, analyzing journal visibility in emerging citation indexes, and identifying predatory journals in bibliographic databases. Her work bridges theoretical frameworks with practical applications in library science. Analysis of her recent publications reveals a consistent focus on bibliometric evaluation of scholarly communication, particularly regarding Spanish journals in international databases. Her research demonstrates growing interest in journal evaluation systems like MIAR (Matrix for Information and Journal Evaluation) and the Emerging Sources Citation Index (ESCI). She has also maintained a strong commitment to information literacy through her studies on interactive training materials for academic libraries. Dr. Somoza Fernández has participated in significant research projects including "i-VIU: Grup d'estudis mètrics sobre el valor i ús d'informació" (2005-2014) and studies on the identification and evaluation of journals in Spanish humanities and social sciences research. Her work has been supported by institutions including the Department of Universities, Research and Information Society of the Catalan Government (DURSI) and the Ministry of Education and Science. Her teaching portfolio spans multiple disciplines within information science, including information sources for scientific research, nursing research methodology, user support and training, and communication techniques. She has developed specialized courses on web tutorials, information retrieval in scientific databases, and bibliography management tools.

• Documentary databases
• Information retrieval
• Bibliometric studies
• +۵ مورد دیگر