جست‌وجوی استاد و پژوهشگر

• Statistics
• Operational Research
• Geolinguistics
• +۷ مورد دیگر

Maria Jose Ginzo Villamayor is an Assistant Professor at the University of Santiago de Compostela (USC), affiliated with the Department of Statistics, Mathematical Analysis and Optimization within the Faculty of Labor Relations. She holds a PhD in Statistics (2022) with a thesis on Statistical Techniques in Geolinguistics. Onomastic Modeling , supervised by Dr. Rosa M. Crujeiras Casais. Her research focuses on interdisciplinary applications of statistics and optimization, including wildfire management logistics, geolinguistic surname analysis, forest inventory systems (via TLS technology), and healthcare analytics. Education: PhD in Statistics (2022), University of Santiago de Compostela. Research interests span: Statistical modeling in geolinguistics and onomastics Optimization models for emergency resource allocation (e.g., firefighting helicopter logistics) Development of R packages for environmental data analysis (e.g., FORTLS for forest inventories) Applications of machine learning in epidemiology and medical diagnostics Demographic studies involving spatial distribution patterns Her recent work demonstrates expertise in merging mathematical techniques with real-world challenges, particularly in environmental management and public health. Despite prolific publication output, no formal academic awards are explicitly mentioned in the provided data. Labs/Teams: Active member of the MODESTYA research group (Optimization, decision, statistical models and applications) and the Galician Mathematical Research and Technology Center (CITMAga).

• Game Theory
• Operations Research
• Mathematical Economics
• +۳ مورد دیگر

Julio González-Díaz is a university professor at the Department of Statistics, Mathematical Analysis, and Optimization at the Faculty of Mathematics, University of Santiago de Compostela. His research focuses on game theory, operations research, and decision models, with applications in economics and mathematics. He leads the research group MODESTYA (Optimization, Decision, Statistical Models and Applications) and is affiliated with the Galician Mathematical Research and Technology Center (CITMAga). Education: PhD from the University of Santiago de Compostela (2005), thesis titled Essays on Competition and Cooperation in Game Theoretical Models , supervised by Dr. María Estela Sánchez Rodríguez and Dr. Ignacio García Jurado. Research Interests: Game theory (cooperative and non-cooperative), operations research, optimization, and statistical models. His work includes studies on core stability, airport cost allocation, paired comparisons analysis, and algorithmic game theory. Publications: Over 30 peer-reviewed articles and books, including influential works like An Introductory Course on Mathematical Game Theory (2010) and widely cited contributions on core-center concepts and ranking methods. Recent work involves polynomial optimization algorithms (RAPOSa solver), gas transportation networks, and bilevel portfolio design. Collaborations: Extensive co-authorship network, including researchers like Fiestras-Janeiro, Sánchez-Rodríguez, and international collaborations in optimization and game theory. Contact: julio.gonzalez@usc.es

• Nonlinear Differential Equations
• Fractional Calculus
• Mathematical Biology
• +۳ مورد دیگر

Juan Jose Nieto Roig is a Professor at the University of Santiago de Compostela (USC) in Spain, affiliated with the Department of Statistics, Mathematical Analysis and Optimization, and the Faculty of Mathematics. He is part of the research group EDNL (Nonlinear Differential Equations) and the Galician Mathematical Research and Technology Center (CITMAga). His research focuses on nonlinear differential equations, fractional calculus, mathematical biology, epidemiological modeling, and optimal control theory. Recent work includes studies on fractional differential operators, stochastic processes, and applications in climate science, epidemiology, and engineering. Publications Highlights: Explores fractional calculus in diverse contexts, including epidemiological models (e.g., Nipah virus, malaria) and reaction kinetics. Develops control strategies for complex systems, such as neural networks and stochastic systems with delays. Applies mathematical models to environmental challenges (e.g., global warming impacts on marine ecosystems). Awards: No awards explicitly mentioned in the provided texts. Grants and Labs: Active in interdisciplinary research through CITMAga, focusing on nonlinear dynamics and real-world applications.

• Mechanical Engineering
• Modeling and Control of Nonlinear Processes
• Industrial Applications of Laser
• +۷ مورد دیگر

José Antonio Pérez Rodríguez is a faculty member in the Department of Naval and Industrial Engineering at the University of A Coruña, affiliated with the College of Industrial Design. His research is centered in the Laboratorio de Ingeniería Mecánica, focusing on nonlinear process modeling, industrial laser applications, and mechanical system analysis. His research interests span Mechanical Engineering , Nonlinear Process Control , Laser-Based Manufacturing , Multibody Dynamics , Thermal Engineering , and Sustainable Energy Systems . His work integrates computational modeling, experimental validation, and industrial application, particularly in advanced manufacturing and marine propulsion technologies. The most recent publications reflect a strong trend in energy efficiency, thermal systems, multibody dynamics, and laser processing technologies. His research bridges mechanical design, control systems, and sustainable engineering, with applications in both industrial and maritime contexts. Researcher ID: AAI-3881-2020 ORCID: 0000-0002-7228-1687 Scopus ID: 35262542700 He has participated in numerous R&D projects funded by the Ministry of Science and Innovation, the Xunta de Galicia, and the European Union, often collaborating with leading researchers such as Javier Cuadrado Aranda and José Antonio Orosa García. He has supervised at least one PhD thesis and contributes to final project supervision in engineering programs. His work includes patents and book chapters on industrial laser applications and marine energy systems. He is actively involved in academic service, maintaining regular tutoring hours at the University College of Industrial Design, and teaching core subjects across undergraduate and postgraduate programs in industrial design and engineering education.

Félix Sergio Blázquez Lozanoمشاهده پروفایل

استاد

• Marketing
• Brand Management
• Digital Marketing
• +۸ مورد دیگر

Félix Sergio Blázquez Lozano is a Professor in the Faculty of Economics and Business at the University of A Coruña (UDC). His research focuses on brand value analysis, digital marketing, and sustainability in agroalimentary, fashion, and technology sectors. He leads the Investigación en Marketing Aplicado research group and has directed over 20 final-year dissertations and master's theses since 2013. Department: Market Research and Commercialization Teaching: Consumer Behavior, Brand Strategy, Entrepreneurship Key Research Areas: Brand Valuation, Digital Communication, Sustainability His work integrates Information and Communication Technologies (ICT) with strategic marketing frameworks across diverse industries. Recent publications analyze neuromarketing applications, influencer marketing in fashion, and digital transformation in the wine and equestrian sectors. He has received funding from the Xunta de Galicia, European Union, and private entities like RTVG. Selected grants include: Xunta de Galicia Innovation Support (2014) European Union Research Projects (2000-2006) Universidade da Coruña R&D Contracts (multiple years) He has presented research at conferences in Spain, Portugal, Brazil, and Ecuador, contributing to fields like sustainable fashion, football marketing, and game industry strategy.

• Fluid Mechanics
• Computational Fluid Dynamics (CFD)
• Multiphysics Modeling
• +۷ مورد دیگر

Anne Marie Elisabeth Gosset is a faculty member at the Universidade da Coruña, affiliated with the Ferrol Engineering Polytechnic University College, Department of Naval and Industrial Engineering. Her expertise lies in Fluid Mechanics, with a strong focus on computational modeling and industrial applications. Research Interests: Her research spans computational fluid dynamics (CFD), multiphysics modeling, cavitation, industrial drying processes, 3D printing, galvanization, and hydrodynamic analysis. She applies numerical methods to optimize industrial systems such as wood drying kilns, control valves, and coating processes. Publications and Research Trends: Her recent work emphasizes the application of CFD in both academic and industrial contexts, particularly in energy efficiency, process optimization, and fluid-structure interactions. Collaborative research with institutions like ONERA, ESA, and IVKDF highlights her international engagement in fluid dynamics and aerospace applications. Scientific Awards: No awards explicitly mentioned. Advising and Grants: She has supervised multiple master's and final-year theses, including David Barreiro Villaverde’s dissertation. She has been involved in numerous research projects funded by the Ministerio de Ciencia e Innovación, Xunta de Galicia, ESA, Arcelor-Mittal, and others, often as a principal investigator or co-investigator. Labs and Teams: She is associated with research groups at UDC and has collaborated with the CITIC research center and international institutions like the Institut von Karman de Dynamique des Fluides (IVKDF), reflecting her integration into both national and international research networks.

• High-Performance Computing
• Distributed Systems
• Parallel Computing
• +۱۲ مورد دیگر

Juan Jose Costa Prats is a researcher in the Department of Computer Architecture at the Universitat Politècnica de Catalunya (UPC), affiliated with the Escola Tècnica Superior d'Enginyeria de Telecomunicació de Barcelona. He is a key member of the CRAAX - Centre de Recerca d'Arquitectures Avançades de Xarxes, contributing to advanced research in computing systems and network architectures. His work is deeply integrated into competitive R&D projects, including Horizon Europe and national initiatives focused on digital innovation and infrastructure. Research Interests: Costa Prats specializes in high-performance and distributed computing, with a strong focus on parallel programming models (especially OpenMP), software distributed shared memory (SDSM), cloud computing, virtualization, and cybersecurity. His recent work emphasizes secure and resilient computing systems, particularly through RISC-V-based architectures, hypervisor extensions, and runtime malware detection using opcode analysis and machine learning. He also contributes to educational innovation through remote datacenter laboratories. Publication Trends: His recent publications (2021–2024) reflect a shift toward secure, trustworthy computing environments, especially in cloud and IoT contexts. Themes include RISC-V virtualization, intrusion detection using transfer learning, GPS spoofing detection, and secure development frameworks like Vitamin-V. These works highlight a convergence of system architecture, security, and machine learning. Scientific Awards: No specific awards mentioned in the provided text. Advising and Grants: While no formal students are listed, Costa Prats collaborates extensively with leading researchers such as Beatriz Otero, Ramon Canal, and Javier Verdú. He participates in numerous competitive R&D+i projects funded by the Spanish government and the European Union, including Horizon Europe, RIS3CAT, and national research programs, focusing on cloud resilience, intelligent cloud management, and RISC-V ecosystem development. Labs and Teams: He is an active member of the CRAAX research group at UPC, which works on advanced computing architectures. His research often involves collaboration with the Barcelona Supercomputing Center. His projects, such as Vitamin-V and Remote DasaLAB, indicate involvement in both secure computing environments and innovative educational platforms.

• Power Electronics
• Control Systems
• Microgrids
• +۷ مورد دیگر

Antonio Camacho Santiago is a researcher at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Systems, Automation, and Industrial Informatics. He is a key member of the SEPIC (Sistemes Electrònics de Potència i de Control) and AGROTECH-UPC research groups, contributing to advancements in power electronics, microgrid control, and industrial automation. His work spans multiple campuses including Vilanova i la Geltrú and Diagonal Sud, and he collaborates extensively within UPC's engineering schools. His research focuses on control strategies for distributed generation, voltage support in microgrids, power quality enhancement, and fault ride-through capabilities of inverters. He has made significant contributions to the design of control systems under unbalanced grid conditions and the integration of renewable energy sources into smart grids. His research also extends to agrivoltaics and intelligent traffic systems, reflecting interdisciplinary innovation. The analysis of his recent publications reveals a strong trend in the development of advanced control algorithms for power electronic systems, particularly in islanded and grid-connected microgrids. His work emphasizes robustness, efficiency, and compliance with grid standards, often employing sliding mode control, complex power sharing, and resonant control techniques. There is a clear trajectory toward intelligent, adaptive, and distributed control architectures for future energy systems. Antonio Camacho Santiago has supervised doctoral research, including the thesis of José Ignacio Iñiguez Amigot, and has participated in numerous competitive R&D projects funded by national and European programs such as HORIZON EUROPE and the Spanish State Research Plans. His collaborative network includes prominent researchers like Miguel Castilla, Jaume Miret, Manuel Velasco, and Josep Maria Guerrero, indicating active engagement in large-scale research initiatives. He is involved in laboratory development for real-time control systems and has contributed to educational innovation projects, such as enhancing interactive teaching in the ATENEA platform. His work bridges theoretical control design with practical implementation in networked and embedded systems, supporting both academic training and industrial applications.

Ramon Canal Corretgerمشاهده پروفایل

استاد

• Microarchitecture
• Processor Design
• Memory Design
• +۱۵ مورد دیگر

Ramon Canal Corretger is a Full Professor in the Department of Computer Architecture at the Faculty of Informatics of Barcelona (FIB), Universitat Politècnica de Catalunya (UPC). He previously served as Vice Dean of Postgraduate Studies at FIB and leads the VirtuOS (Virtualization and Operating Systems) research group. His work bridges computer architecture, hardware security, and system-level reliability. Doctorate from UPC, co-supervised at the University of Wisconsin-Madison Sabbaticals at Harvard University (2006–2007) and the University of Cyprus (2019–2020) Active leadership in EU-funded projects such as Vitamin-V (Horizon Europe) His research focuses on microarchitecture, processor and memory design, reliability under variability, and security at the hardware-software interface. He explores low-power multicore architectures, virtualization optimizations, and secure RISC-V-based systems. His recent work integrates AI for intrusion detection and privacy-preserving federated learning in fog computing environments. The most recent publications demonstrate a strong trend toward security, reliability, and trustworthy computing , particularly in RISC-V ecosystems and cloud/edge infrastructures. There is increasing emphasis on hardware-software co-design , attack detection via performance monitoring , and energy-efficient secure accelerators using emerging technologies like neuromorphic and photonic computing. Scientific Awards: HiPEAC Paper Awards (2017, 2010) IEEE Senior Member (2016) Fulbright Award (2006) IBM Faculty Award (2000) Best Student Paper at HPCA-6 (2000) Multiple teaching excellence recognitions from UPC and AQU Catalunya First Prize in Epson Foundation Rosina Ribalta Award (2001) He has advised several PhD students including Manish Rana, Zoran Jaksic, and Shrikanth Ganapathy, many of whom received honors such as the Intel Doctoral Student Programme recognition. His research is supported by competitive grants from the Spanish government, EU Horizon programs, and industry collaborations. He is actively involved in the design of secure, reliable, and efficient computing systems for future cloud and embedded applications. He leads the VirtuOS research group, which focuses on virtualization, operating systems, and hardware-software interface optimization. The group contributes to open-source RISC-V initiatives and participates in large-scale European R&D projects targeting trustworthy computing infrastructures.

• Artificial Intelligence
• Machine Learning
• Complex Systems
• +۷ مورد دیگر

Jordi Delgado Pin is a faculty member at the Universitat Politècnica de Catalunya (UPC), affiliated with the Faculty of Computer Science (FIB) and the Department of Computer Science. He is an active researcher in the IDEAI-UPC and SOCO (Soft Computing) research groups, contributing extensively to artificial intelligence, machine learning, and complex systems. His research interests include artificial intelligence, machine learning, computational complexity, neural networks, and data science, with applications in biological and social networks. He has made significant contributions to unsupervised learning methods, particularly in contrastive divergence and community detection in complex networks. The analysis of his recent publications reveals a strong focus on machine learning optimization, neural network training, and theoretical foundations of computing. His work spans both theoretical and applied domains, including educational technology and bio-inspired algorithms. Jordi Delgado Pin has participated in multiple competitive R&D+i projects, such as 'Gestió i Anàlisi de Dades Complexes' and 'Mineria en datos biológicos y sociales', demonstrating sustained research activity. He has also contributed to educational initiatives in programming and data science. He is involved in key research laboratories including IDEAI-UPC, SOCO, and LARCA, fostering interdisciplinary collaboration in data science and AI.

• High-Performance Computing
• Data Governance
• Big Data Analytics
• +۴ مورد دیگر

Anna Queralt Calafat is an Associate Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Services and Information Systems Engineering at the Barcelona School of Informatics. Her research focuses on High-Performance Computing (HPC), distributed systems, and data governance, with notable contributions in knowledge graphs, cloud-edge continuum management, and parallel workflow optimization. She leads projects funded by European and national grants, including contributions to strategic research agendas like ETP4HPC. Queralt has supervised doctoral students like Jonathan Marti and Rizkallah Touma, and her work spans over 100 publications in top venues such as Future Generation Computer Systems and the International Semantic Web Conference. She actively participates in conference committees and has received a Best Student Paper Award for collaborative research. Her educational background includes a degree in Computer Engineering and a doctorate in Software. She is part of research groups inSSIDE and DTIM, advancing areas like HPC integration with big data analytics. Key projects include automated data lifecycle management and fog-to-cloud distributed processing. Her work bridges theoretical models with practical systems like DataClay and PyCOMPSs, emphasizing scalable and efficient computing solutions.

Jordina Belmonte Solerمشاهده پروفایل

استاد

• Aerobiology
• Pollen Analysis
• Fungal Spores
• +۷ مورد دیگر

Jordina Belmonte Soler is a Professor of Botany at the Universitat Autònoma de Barcelona (UAB), affiliated with the Department of Animal Biology, Plant Biology and Ecology and the Institute of Environmental Science and Technology (ICTA-UAB). She has been active in academia since 1982 and coordinates the Grup de Recerca AEROBIOlògica i aplicacions en Salut (AEROBIOS). Her work spans aerobiology research, teaching, and public service through various monitoring networks. Dr. Belmonte Soler earned her Ph.D. in Biology from UAB in 1988, following two degrees in Biological Sciences from the same institution in 1979. Her academic career at UAB progressed through positions including Profesor Ayudante Contratado, Ayudante de Escuela Universitaria, and Profesor Titular Interino before achieving her current professorship. Her research focuses on aerobiology, specifically the diversity, levels and dynamics of pollen and fungal spores in the air and their allergens. She studies relationships between airborne particles, vegetation, meteorology, climate, and atmospheric transport, with applications to climate change research and allergy diagnosis, prevention, and treatment. Recent additions to her research include melissopalynology and airborne microarthropods. Her work contributes to UN Sustainable Development Goals related to environmental protection. Dr. Belmonte Soler coordinates several important initiatives including the Laboratori d'Anàlisis Palinològiques, the Xarxa Aerobiològica de Catalunya (XAC), and the Punt d'Informació Aerobiològica (PIA), which provides aerobiological data to medical professionals and the public. Her research outputs show consistent publication activity since the 1980s with a focus on European and Mediterranean aerobiology. Over 272 research outputs 14 research projects h-index of 37 4309 citations She teaches undergraduate courses in general botany, vegetation, and palynology to students in Biology, Environmental Biology and Environmental Sciences programs, and master's level courses in palynology, aerobiology and its applications. She previously served as Coordinator of the UAB Environmental Sciences degree (2005-2008) and as a member of the UAB Academic Affairs Committee (2006-2009).

Alex Ferrer Ferreمشاهده پروفایل

دانشیار

• Materials Design
• Aeronautical Engineering
• Computational Mechanics
• +۴ مورد دیگر

Àlex Ferrer Ferre is a Serra-Hunter Associate Professor at the Department of Physics, Universitat Politècnica de Catalunya (UPC) in Barcelona, and an associate researcher at the International Center for Numerical Methods in Engineering (CIMNE). His research focuses on topology optimization, computational mechanics, and advanced material design. He holds a PhD in Computational Mechanics from UPC (2017) and has conducted postdoctoral research at the University of Oxford and École Polytechnique. Key roles include teaching courses like Flight Mechanics and leading the Swan project for topology optimization software. His work integrates academic and industrial collaborations with entities like ESA and INEGI. Research interests span multiscale design, topology optimization for additive manufacturing, and fracture mechanics. Major projects include the TopSat CubeSat chassis project (ESA-funded) and the Flexion project on flexible material design. Awards include the Marie Curie Fellowship (2019) and an Excellent Cum Laude PhD. His labs and teams collaborate globally, emphasizing open-source tools and collaborative research.

• Robotics
• Surgical Robotics
• Computer Vision
• +۵ مورد دیگر

Josep Amat Girbau is a full Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial. He leads the GRINS research group (Grup de Recerca en Robòtica Intel·ligent i Sistemes), focusing on advanced robotics, surgical robotics, and computer vision applications. His work integrates teleoperation systems, human-robot interaction, and medical device development. Key collaborations include projects with biomedical engineers and surgeons to advance minimally invasive surgical techniques. Amat has authored over 290 publications, including peer-reviewed articles, book chapters, and patents. Notable contributions include robotic platforms for fetal surgery assistance, laparoscopic surgery tools, and underwater exploration vehicles like the GARBÍ series. He has received awards such as the Premi d’honor de la Nit de les Telecomunicacions and the Premi a la creativitat del Col·legi d'Enginyers Industrials de Catalunya. His research spans robotics applications in healthcare, automation, and industrial systems, with a focus on real-time image processing and intelligent control systems. Amat's work bridges academic research with practical innovations, emphasizing interdisciplinary approaches to solve complex engineering challenges.

• Multimedia Systems
• Image Processing
• Signal Processing
• +۴ مورد دیگر

Luis Torres Urgell is a Professor at the Department of Signal Theory and Communications, Universitat Politècnica de Catalunya (UPC), affiliated with the Higher Technical School of Telecommunication Engineering of Barcelona. His research focuses on multimedia systems, image processing, and signal processing with notable contributions to video compression, audio-visual indexing, and computer vision applications. He has been actively involved in numerous competitive research projects, including initiatives on genomic data compression and multimedia security. His work spans over 410 academic activities, including over 140 conference presentations and 78 scientific documents. Notable contributions include advancements in face recognition algorithms, distributed video coding, and the development of tools for automated video summarization in sports content. Torres has also made significant strides in education through project-based learning in telecommunications and the integration of virtual ethnography in social web platforms. He has been recognized as a Senior Member of IEEE and received institutional recognition from UPC for his research contributions. His research has been supported by grants from the Spanish and Catalan governments, including projects under the RIS3CAT strategy and the National Plan for Scientific Research.