جست‌وجوی استاد و پژوهشگر

Hanan Saleh Husseinمشاهده پروفایل

دانشیار

• Translation Studies
• Arabic Language and Literature
• Spanish-Arabic Translation
• +۷ مورد دیگر

Hanan Saleh Hussein serves as a Permanent Labor Professor (Associate Professor) in the Department of Philology and Translation at Universidad Pablo de Olavide, Spain, specializing in Arabic and Islamic Studies. Her institutional affiliations include doctoral programs in Philological Translation and Cultural Studies; Social, Legal and Political Analysis of Migration; and Human Development: Welfare State and Diversity Management. She earned her PhD from Universidad Pablo de Olavide in 2017 with the thesis "Pragmatic analysis of humorous discourse in the narrative of Naguib Mahfuz and its translation into Spanish," supervised by Dr. Saad Mohamed Saad. Her academic trajectory demonstrates deep integration between linguistic theory and practical applications in migration contexts. Her research spans Translation Studies, Arabic Language and Literature, Spanish-Arabic Translation, Intercultural Communication, Pragmatics, Migration Studies, Gender Studies, and Islamic Studies. Hussein examines cultural parallels through proverbs and humor, analyzes gender representation in Arabic literature, develops linguistic resources for immigrants, and investigates conflict zone interpretation challenges. Her work consistently bridges academic theory with real-world migration and refugee support systems. Hussein's recent publications (2020-2025) reveal three dominant trajectories: Mediterranean cultural studies examining historical connections between Arab and Spanish societies; translation in migration contexts addressing linguistic barriers for refugees; and gender-focused analyses of Arabic literary works. She has produced practical resources like the Sevilla immigrant language manuals while contributing theoretical frameworks for conflict zone interpretation and transcreation in tourism. No scientific awards were documented in the source material. Hussein supervises doctoral candidates across three programs but specific advisee information wasn't provided. Her research demonstrates significant engagement with public service translation challenges and migrant integration frameworks, though grant details remain unspecified in available records. She previously contributed to INTERGLOSSIA (Intercultural Communication Processes) and ILA (Research in Applied Linguistics) research groups, focusing on cross-cultural communication dynamics and linguistic applications in real-world settings.

• Machine Learning
• Deep Learning
• Computer Science
• +۱۲ مورد دیگر

Dr. José SantaMaría López is a Professor at the Department of Computer Science , University of Jaén, specializing in Machine Learning , Medical Imaging , and Evolutionary Computation . His work bridges Artificial Intelligence with practical applications in Healthcare and Security . Current research focuses on Trustworthy AI , Explainable AI , and 3D Modeling for forensic identification. His Google Scholar profile highlights publications on adversarial attacks, data fusion, and real-time diagnostics using Deep Learning . He employs Evolutionary Algorithms and Fuzzy Logic for optimization in medical imaging and vehicular networks. Key trends in his recent publications include Decentralized Learning , Security in AI , and Parallel Computing for healthcare applications.

FRANCISCO SANTIAGO ARGUELLO PEDREIRAمشاهده پروفایل

استاد

• Remote Sensing
• Multispectral Imaging
• Hyperspectral Imaging
• +۵ مورد دیگر

Francisco Santiago Argüello Pedreira is a Professor at the University of Santiago de Compostela, affiliated with the Department of Electronics and Computing within the Higher Technical School of Engineering. He holds a PhD from the same institution (1992) with a thesis on parallel-segmented architectures for orthogonal transforms, supervised by Dr. Emilio López Zapata. His research focuses on remote sensing, multispectral/hyperspectral imaging, machine learning, and GPU programming. He leads the ARQCOMP (Computer Architecture) research group and has pioneered GPU-accelerated methods for image registration, anomaly detection, and classification. Key contributions include hybrid parallel computing frameworks (CUDA/OpenMP/MPI), GAN-based domain adaptation, and innovative data augmentation techniques for hyperspectral imagery. His work spans environmental applications (e.g., Galician river monitoring), forestry mapping, and high-resolution land cover analysis. Notable projects include the EffBaGAN and ResBaGAN models for addressing data scarcity and forest mapping challenges. He has developed open-source tools like HypeRvieW for hyperspectral data processing. Publications emphasize algorithm optimization for GPU architectures, with a focus on real-time processing and heterogeneous computing platforms. His research bridges computer architecture advancements with practical applications in Earth observation and environmental science.

JORGE ALBERTO SUAREZ GAREAمشاهده پروفایل

استادیار

• Deep Learning
• Hyperspectral Imaging
• Remote Sensing
• +۳ مورد دیگر

Jorge Alberto Suarez Garea is an Assistant Professor at the Department of Electronics and Computing within the Higher Technical School of Engineering at the University of Santiago de Compostela. He holds a PhD from the same institution (2021), specializing in Deep Learning-Based Classification Techniques for Hyperspectral Images in Real Time , supervised by Dr. Francisco Argüello Pedreira and Dr. Dora Blanco Heras. His research focuses on deep learning applications in remote sensing , including real-time hyperspectral image processing, parallel computing frameworks (CUDA, OpenMP, MPI), and environmental monitoring using UAV-based multispectral imagery. He is affiliated with the ARQCOMP Research Group (Computer Architecture), emphasizing interdisciplinary work between computer science and environmental science. Key contributions include developing Galician Rivers Multispectral Anomaly Detection Dataset , hybrid parallel domain adaptation methods, and open-source tools like HypeRvieW for hyperspectral data processing. His work bridges algorithmic innovation with hardware optimization, particularly in GPU-accelerated systems. Research interests span neural networks , domain adaptation , texture analysis , and real-time embedded systems , with a focus on environmental applications such as watershed monitoring and ecosystem anomaly detection.

• Computer Architecture
• High Performance Computing
• Parallel Programming
• +۳ مورد دیگر

Antonio Jesus Garcia Loureiro is a Professor at the University of Santiago de Compostela, affiliated with the Department of Computer Architecture. He teaches courses in High Performance Computing, Renewable Energy, and Physics-related subjects across multiple academic programs. His research focuses on Computer Architecture, Parallel Programming, and Photovoltaic Systems. Affiliations: University of Santiago de Compostela (Primary), collaborating with University of A Coruña for joint master's programs. Teaching Roles: Leads courses like Parallel Programming and Projects Workshop in the Master's in High Performance Computing, and Photovoltaic Solar Energy in the Renewable Energies Master's. Research interests include advancing computational efficiency through parallel architectures and exploring sustainable energy solutions in photovoltaic systems. No specific awards or grants are listed in the provided data.

• Applied Mathematics
• Numerical Analysis
• Bioinformatics
• +۳ مورد دیگر

Jose Antonio Alvarez Dios is a Lecturer in the Department of Applied Mathematics at the University of Seville. He teaches courses such as Bioinformatics, Matrix Numerical Analysis, and Parallel Computing across various academic programs including doctoral and master’s degrees in Molecular Medicine, Endocrinology, Industrial Mathematics, and Biomedical Research. His academic roles span multiple academic years from 2022/2023 to 2026/2027. His teaching focuses on numerical methods, computational techniques, and interdisciplinary applications in biomedical and engineering sciences. He contributes to training complements in doctoral programs and is affiliated with the Research Group in Mathematics Teaching. No specific research awards or grants are mentioned in the provided text. Tutoring hours for the selected academic years show no available data, but his involvement in multiple degree programs underscores his active role in academic instruction and curriculum development.

JOSE CARLOS CABALEIRO DOMINGUEZمشاهده پروفایل

استاد

• High Performance Computing
• Parallel Systems Architecture
• Parallel Algorithms
• +۷ مورد دیگر

Prof. José Carlos Cabaleiro Domínguez is a Full Professor at the Department of Electronics and Computing, University of Santiago de Compostela. He holds a BS (1989) and PhD (1994) in Physics from the same university. His academic journey includes roles as an associate professor at the University of A Coruña (1990–1994) and associate professor at US圣地亚哥 de Compostela until 2022. He is affiliated with the Center for Research in Intelligent Technologies (CiTIUS) and leads the ARQCOMP research group in Computer Architecture. His research focuses on high-performance computing, parallel systems architecture, LiDAR data processing, and cloud computing. Notable contributions include optimizing parallel algorithms for sparse matrices, developing frameworks like BigOPERA for big data, and advancing LiDAR-based applications in infrastructure mapping and autonomous systems. He has led over 20 national/international projects, including HiPerHC2DA (2023–2026) and TLIX2 (2017–2018). Prof. Cabaleiro’s work spans 150+ peer-reviewed publications, with recent emphases on digital forensics (e.g., Android private browsing analysis), graph-based LiDAR segmentation, and energy-efficient thread migration strategies for NUMA systems. His research integrates hardware performance analysis, parallel algorithm design, and real-world applications in geomatics, bioinformatics, and cybersecurity.

• High-performance computing
• Decimal arithmetic
• Parallel programming
• +۴ مورد دیگر

Alvaro Vazquez Alvarez is an Assistant Professor at the Higher Technical School of Engineering, University of Santiago de Compostela. He holds a PhD in Computer Engineering (2009) from the same institution, focusing on High-performance decimal floating point units under the supervision of Dr. Elisardo Antelo Suárez. His research interests span high-performance computing, decimal arithmetic hardware design, parallel programming models, and LiDAR data processing. His work emphasizes FPGA implementation of arithmetic units, numerical algorithms optimization, and compiler/runtime systems for parallel environments. He leads the CograDe Research Group (Computer Graphics and Data Engineering), exploring advanced topics in parallel computing and data engineering applications. Key contributions include universal MPI binding frameworks for new languages and efficient LiDAR point cloud processing algorithms. Notable technical expertise includes: digit-by-digit algorithms, redundant number systems, CORDIC-based computations, and multi-operand decimal arithmetic implementations. His publications bridge theoretical numerical methods with practical hardware/software co-design solutions. Current research focuses on extending parallel programming interfaces, improving decimal arithmetic precision in modern architectures, and applying advanced geometric processing techniques to 3D data challenges.

David Lopez Vilariñoمشاهده پروفایل

استاد

• Computer Vision
• LiDAR Data Processing
• FPGA Acceleration
• +۴ مورد دیگر

David Lopez Vilariño is a Professor at the Department of Electronics and Computing, Faculty of Physics, University of Santiago de Compostela. He holds a PhD in Electronics from the same university (2001), specializing in active contour algorithms and FPGA implementations. His research focuses on LiDAR data processing, reconfigurable computing architectures, and embedded vision systems. He is a member of the ARQCOMP (Computer Architecture) and Artificial Vision research groups. Education: PhD in Electronics (2001), thesis on 'Active contours at the pixel level: design and implementation on cellular network architectures' under Dr. Diego Cabello Ferrer. Research interests include: LiDAR-based 3D modeling for urban and environmental applications FPGA acceleration for high-performance computing Reconfigurable hardware architectures for embedded vision systems Real-time video surveillance and motion estimation His work bridges hardware-software co-design with advanced sensing technologies, particularly in geomatics and medical imaging applications.

• (Concurrent) (Constraint) Logic Programming
• Program Analysis
• Program Transformation
• +۳ مورد دیگر

Francisco José Bueno Carrillo is an Associate Professor affiliated with the Department of Artificial Intelligence at the College of Computer Science, Technical University of Madrid. He is a member of the CLIP group and actively teaches courses in computational logic, formal logic, and logic programming.

Mariano Flores Gutierrezمشاهده پروفایل

دانشیار

• Animation Art
• Technology in Art
• Drawing
• +۲ مورد دیگر

Mariano Flores Gutierrez serves as an Associate Professor in the Department of Fine Arts at the Faculty of Fine Arts, University of Murcia, where his academic work bridges traditional artistic disciplines with contemporary digital methodologies, emphasizing innovation in visual expression and technological integration. His educational background includes: Doctorate in Fine Arts from University of Murcia (2012), with thesis titled "La contribución y aportación de las herramientas tecnológicas en el arte de la animación durante el último tercio del Siglo XX" (The Contribution and Input of Technological Tools in Animation Art During the Last Third of the 20th Century), supervised by Dr. José Mayor Iborra. Research interests focus on interdisciplinary exploration at the convergence of art and technology: Animation Art: Historical and contemporary techniques in digital animation Technology in Art: Computational tools for creative processes Drawing: Evolution from traditional to digital mediums Digital Art: Theoretical frameworks and practical applications Art History: 20th-century animation within broader technological contexts Dr. Gutierrez currently leads research within the Zeus group while maintaining active engagement in academic discourse. His prior collaborative work includes significant contributions to: Laboratory of Technological Innovation Against Blindness (L ITE-2C) Scientific Computing and Parallel Programming initiatives Computer Graphics and Artificial Perception research units Intelligent Systems development projects

Jose Matias Cutillas Lozanoمشاهده پروفایل

استاد مدعو

• Parallel Computing
• Metaheuristics
• Hyperheuristics
• +۴ مورد دیگر

Jose Matias Cutillas Lozano is an Adjunct Professor (part-time) at the University of Murcia's Faculty of Informatics, affiliated with the Department of Computer Science and Systems Engineering. He is associated with the Scientific Computing and Parallel Programming research group. His doctoral thesis (2014) focused on modeling and auto-optimization of parallel metaheuristics and hyperheuristics applied to optimization problems in science and engineering, supervised by Dr. Domingo Giménez Cánovas. His research interests span parallel computing, metaheuristics, hyperheuristics, optimization algorithms, scientific computing, and computational biology. He has also contributed to interdisciplinary studies involving medical applications of computational methods and educational technology integration. Publications demonstrate expertise in hybrid metaheuristics for vector autoregression, parallel hyperheuristics in molecular docking (HYPERDOCK), and computational solutions for medical diagnostics (e.g., echocardiography analysis). Recent work addresses urban flood risk modeling under climate change and ICT integration in education. Dr. Cutillas has no explicitly listed scientific awards but maintains active collaboration through his research group. His work emphasizes multi-level parallelism and optimization techniques, with applications spanning engineering, medicine, and education.

Isidro Verdu Conesaمشاهده پروفایل

استاد

• Scientific Computing
• Parallel Programming
• High-Performance Computing

Isidro Verdu Conesa is a Professor in the Department of Computer Science and Systems Engineering at the University of Murcia's Faculty of Chemistry. His research focuses on scientific computing and parallel programming methodologies.

Gines Garcia Mateosمشاهده پروفایل

استاد

• Mobile Computing
• Computer Vision
• Computer Science
• +۳ مورد دیگر

Gines Garcia Mateos is a Professor at the Department of Computer Science and Systems Engineering, Faculty of Informatics, University of Murcia. His research focuses on Mobile Computing and Computer Vision, with interdisciplinary applications in systems engineering and artificial intelligence. He earned his PhD in 2007 with the thesis Procesamiento de caras humanas mediante integrales proyectivas , supervised by Dr. Alberto Ruiz García. His work intersects Mobile Computing and Computer Vision , emphasizing systems engineering and technical innovation. Past collaborations include research groups in Applied Engineering and Parallel Programming. Contact: ginesgm@um.es

José R. Herreroمشاهده پروفایل

دانشیار

• High Performance Computing
• Parallel Computing
• Dense Linear Algebra Algorithms
• +۳ مورد دیگر

José R. Herrero is an Associate Professor in the Computer Architecture Department (DAC) at the Universitat Politècnica de Catalunya (UPC), affiliated with the Barcelona School of Informatics (FIB). His primary research area is High Performance Computing (HPC), focusing on parallel algorithms, dense linear algebra, and multicore processor optimization. He has held administrative roles including Vice-Dean for Academic Studies (2010–2013) and Vice-Dean for Institutional and International Relations (2013–2015) at FIB. Education: PhD in Computer Science from UPC (2006), Postgraduate in Training of University Professors (1997), and a Computer Science degree (1993). Teaching experience includes over 15 courses in Computer Architecture, Operating Systems, and Parallel Programming at both undergraduate and graduate levels. Research interests span HPC, parallel computing, and algorithm design. His work emphasizes optimizing matrix computations and linear algebra libraries for modern architectures. Notable contributions include advancements in sparse Cholesky factorization, task-parallel algorithms, and energy-efficient computing. Recognition includes UPC's Teaching Mention for Outstanding Quality (2009, 2014, 2019) and a Certificate of Merit for contributions to scientific computing workshops. He advises numerous PhD students and collaborates internationally, including visiting roles at GeorgiaTech and École Polytechnique de Montréal.