جست‌وجوی استاد و پژوهشگر

Luis Merino Cabañasمشاهده پروفایل

استاد

• Robotics
• Systems Engineering
• Automation
• +۵ مورد دیگر

Luis Merino Cabañas is a Professor at the Universidad Pablo de Olavide , affiliated with the Deporte e Informática department and leading the SRL Service Robotics Laboratory . His research focuses on robotics, systems engineering, and automation, with a specialization in human-robot interaction and path planning. Education : PhD in Systems Engineering from the Universidad de Sevilla (2007), where his thesis explored cooperative perception techniques for multiple unmanned aerial vehicles in forest fire detection. Research Trends : Recent work (2023–2025) emphasizes 3D path planning, sensor fusion (LiDAR, radar, inertial systems), neural distance fields for safe navigation, and socially aware robotics. His studies integrate AI, genetic programming, and multi-modal perception for applications in construction, healthcare, and GNSS-denied environments. Labs & Teams : He leads the SRL Service Robotics Laboratory , contributing to projects like the Skyeye team and BIM2ROS integration for construction robotics.

• Artificial Intelligence
• Machine Learning
• Distributed Learning
• +۷ مورد دیگر

Berta María Guijarro Berdiñas is a Researcher in the Department of Computer Science and Artificial Intelligence at the University of A Coruña , Spain. She is affiliated with the Laboratory for Research and Development in Artificial Intelligence and teaches courses like Machine Learning , Development of Intelligent Systems , and Programming at both undergraduate and postgraduate levels. Research Focus: Her work lies at the intersection of Artificial Intelligence , Machine Learning , and Knowledge-Based Systems . Key contributions include frugal learning (limited data), anomaly explanation , and distributed learning for edge devices. She applies these to areas like health informatics , forest fire management , and human-robot interaction . Recent Publications span explainable AI , anomaly detection , multi-agent systems , and low-power machine learning . Her articles appear in top venues like Expert Systems with Applications and IEEE Transactions on Neural Networks and Learning Systems . Grants & Projects include EU-funded initiatives, Spanish Ministry of Science grants, and regional collaborations. She focuses on AI for healthcare , smart systems , and distributed learning .

Josep Casanovasمشاهده پروفایل

استاد

• Modelling and Simulation
• Internet and Information Systems
• Urban Mobility
• +۴ مورد دیگر

Josep Casanovas is a Full Professor at the Statistics and Operations Research Department of the Technical University of Catalonia (UPC), affiliated with the Barcelona School of Informatics. He previously served as head of inLab FIB (2012-2020) and as dean (1998-2004) and vice-rector (2006-2011) of UPC, leading strategic initiatives in university governance and ICT policies. His research focuses on Modelling and Simulation , Internet and Information Systems , and Urban Mobility . He has led projects for the European Union, including C-ROADS Spain, REMEDiAL, and ECHORD++, addressing intelligent transport, software automation, and robotic innovation. Recent publications highlight his work on agent-based simulation for urban health, deep learning applications in traffic and energy savings, and wildfire management tools . He co-directs LogiSim and coordinates the Severo Ochoa Research Excellence Program at the Barcelona Supercomputing Center (BSC-CNS).

José María Guerrero Rodríguezمشاهده پروفایل

استاد

• Electronics
• Sensor Design
• Space Instrumentation
• +۳ مورد دیگر

José María Guerrero Rodríguez serves as a Professor in the Department of Automation, Electronics, Architecture and Computer Networks Engineering at the University of Cadiz, Spain. His research is anchored within the TIC138 Electronic and Electromagnetic Design group under the PAIDI Areas for Information and Communication Technologies, focusing on advanced instrumentation systems for space and industrial applications. He completed his doctorate at the University of Cadiz in 2009 with the thesis A contribution to reconfigurability in intelligent instrumentation based on sensors and programmable devices , supervised by Dr. Diego Gómez Vela. His educational background forms the foundation for his expertise in sensor reconfigurability and programmable device integration. Guerrero Rodríguez's research spans Electronics, Embedded Systems, and Space Instrumentation, with significant contributions in magnetic measurement subsystems for CubeSats, low-frequency noise reduction in orbital environments, and neuromorphic sensor design. His work bridges theoretical electromagnetic modeling with practical embedded implementations, particularly in spiking neuron-based movement classification and optical flow algorithms for real-time tracking. Educational innovation is a secondary focus, evidenced by flipped classroom methodologies in analog electronics instruction. Analysis of his 2020-2024 publications reveals three dominant trends: (1) Space instrumentation for CubeSats emphasizing magnetic field measurement accuracy, (2) Novel sensor architectures using asynchronous vision and spiking neurons for flame detection and movement tracking, and (3) Educational technology integration in engineering pedagogy. These areas demonstrate consistent progression from fundamental sensor design to in-orbit validation. No scientific awards were documented in the provided source material. While the source references thesis supervision and funding sections, specific student names, grant details, or advising methodologies remain undisclosed. His research direction suggests ongoing collaboration with space technology initiatives, particularly in low-technology-readiness-level subsystem validation. Guerrero Rodríguez operates within the TIC138 research group, which specializes in electronic and electromagnetic design for aerospace applications. The group's work centers on advancing the technological maturity of measurement systems through CubeSat platforms, with recent focus on in-orbit demonstrators for magnetic field characterization in low-Earth orbit environments.

• Climate Science
• Environmental Science
• Atmospheric Science
• +۷ مورد دیگر

Summary Dr. Gonzalo Miguez Macho is a Professor at the Department of Particle Physics, Faculty of Physics, Universidade de Santiago de Compostela. His research focuses on climate science, environmental dynamics, and numerical modeling, with emphasis on land-use impacts, hydroclimatic sustainability, and wildfire behavior. He leads the GFNL Nonlinear Physics Group and is affiliated with the Center for Interdisciplinary Research in Environmental Technologies (CRETUS). Education: Ph.D. in Atmospheric Sciences (not explicitly stated, inferred from research focus). Research Interests: Dr. Miguez Macho studies climate change effects on ecosystems, particularly in the Amazon and Mediterranean regions. His work explores soil moisture dynamics, groundwater interactions, and the role of vegetation in precipitation recycling. He also investigates extreme weather events, such as heatwaves and wildfires, and their links to anthropogenic climate change. Publications: His recent work includes studies on groundwater influences on soil moisture, climate impacts of urbanization in Phoenix, and modeling deep root water uptake in tropical forests. Key themes include land-atmosphere feedbacks and the hydrological cycle. Awards: None explicitly mentioned in the text. Grants/Teams: Collaborates with institutions like NCAR and USGS on projects such as CONUS404 datasets and wildfire modeling. His research group uses advanced models like WRF and RAMS for simulations. Labs/Teams: GFNL Nonlinear Physics Group and CRETUS, focusing on interdisciplinary environmental research.

Ismail El Madafriمشاهده پروفایل

استادیار

• Applied Artificial Intelligence
• Sustainability
• Innovation in Higher Education
• +۳ مورد دیگر

Ismail El Madafri is an Assistant Professor in the Graphic and Design Engineering Department at Universitat Politècnica de Catalunya (UPC), Spain. He holds a Mathematics degree from Université de Strasbourg (2020) and a Master in Didactics of Mathematics from Universitat Autònoma de Barcelona (2021). Currently pursuing a PhD in Sustainability at UPC, his academic work bridges engineering and AI-driven educational innovation. Education: B.Sc. Mathematics (Université de Strasbourg, 2020) M.Sc. Didactics of Mathematics (Universitat Autònoma de Barcelona, 2021) PhD in Sustainability (Universitat Politècnica de Catalunya, ongoing) Research Focus: Applying AI to sustainability challenges and innovating higher education through blended human-AI creative processes. His recent work explores wildfire detection algorithms, generative AI in education, and environmental simulation tools. Scientific Production: Focused on AI models for forest fire detection, educational technology integration, and environmental data analysis. Publications include lightweight CNN architectures, domain adaptation techniques, and open-source wildfire datasets.

David Vera Candeasمشاهده پروفایل

استاد

• Electrical Engineering
• Renewable Energy Systems
• Biomass Gasification
• +۳ مورد دیگر

David Vera Candeas is a full-time Professor at the Departmento de Ingeniería Eléctrica of Universidad de Jaén . Holding a PhD since 2013, his research focuses on renewable energy systems, particularly biomass gasification and distributed generation technologies. His work addresses both technical implementation and sustainability aspects in energy systems, with a strong emphasis on industrial applications and waste valorization. His academic contributions include significant publications on: Biomass gasification and power generation systems Microgrid monitoring and control technologies Hybrid renewable energy integration Power electronics for energy efficiency Current research trends show increasing focus on: Decentralized energy systems and P2P control schemes AI-enhanced educational tools in electrical engineering Circular economy applications in the olive industry

Suzanne Leroyمشاهده پروفایل

استاد

• Palynology
• Palaeoecology
• Palaeoclimatology
• +۶ مورد دیگر

Suzanne Leroy is a Professor of Geography and Earth Sciences at Brunel University, where she chairs the Institute for the Environment and leads the 'Catastrophic and Environmental Change' Research Group. Her career spans international coordination of climate research programs, including roles at the University of Berne (PAGES/IGBP) and Queen's University, Belfast. Current position: Professor and Research Group Leader Institution: Brunel University (Institute for the Environment) Department: Geography and Earth Sciences Leroy's research focuses on palaeoclimatology and palaeoecological reconstruction , using pollen analysis and multi-proxy data to study environmental changes from the Pliocene to modern times. She specializes in natural hazards , particularly seismic impacts on lake ecosystems and Caspian Sea level fluctuations , integrating biogeography and atmospheric modeling . Her recent publications and projects highlight collaborations with institutions like the Max Planck Institute and Ministry of Education, Spain , addressing topics such as anthropogenic climate impacts , volcanic ash stratigraphy , and vegetation history in Mediterranean and Central Asian regions. The Marie Curie IRSES CLIMSEAS project (2010-2014) dominates her current research trajectory. Nature highlight (2007) for groundbreaking insect population-climate correlation Key methodologies: Pollen, diatom, and geochemical analysis Fieldwork locations: Dead Sea, Caspian Sea, Lake Sapanca, Lake Ulubat Leroy's laboratory at Brunel University houses advanced facilities for grain size analysis , pollen/dinocyst extraction , geochemical studies , and magnetic susceptibility measurements . She supervises postgraduate research students and contributes to climate modeling and paleoenvironmental database development .

• Computational Mechanics
• Biomechanics
• Railway Systems
• +۵ مورد دیگر

Dr. Jesús R. Jiménez-Octavio is an Associate Professor in the Department of Mechanical Engineering at the School of Engineering (ICAI) of Comillas Pontifical University. He specializes in computational mechanics, biomechanics, road safety, and dentistry, with a focus on finite element analysis and computational fluid dynamics. As Academic Deputy Director at ICAI, he bridges academic leadership with multidisciplinary research. PhD in Industrial Engineering (2009), Comillas Pontifical University BSc in Industrial Engineering (2004), Comillas Pontifical University Research Interests : His work spans biomedical engineering (computational biomechanics, dental tissue characterization), railway systems (catenary-pantograph dynamics, wind load modeling), and automotive safety (seatbelt design, e-scooter injury analysis). He integrates numerical methods with experimental validation. Publication Trends : Recent articles emphasize biomechanics (vertebral injury modeling, dental stress analysis), railway engineering (dynamic cable systems), and safety simulation (impact scenarios). Cross-disciplinary themes include pandemic mobility analysis and AI in transportation safety. Scientific Awards : Honorary Distinction for Best Doctoral Thesis in Engineering (2010) Talgo Award for Technological Innovation (2010) 3rd National Sika Award for Adhesion Technology (2004) Multiple Erasmus and Marie Curie Fellowships Grants and Projects : Leads research on e-scooter safety , dental implant biomechanics , and high-speed railway dynamics . Collaborates with institutions like Mapfre CESVIMAP, European Rail Agency, and Mercedes-Benz Technology Group. Labs and Teams : Co-founder of the MOBIOS Lab (Mobility, Biomechanics, and Health Research), integrating AI, urban mobility, and injury prevention studies.

• Statistics
• Nonparametric Estimation
• Set Estimation
• +۴ مورد دیگر

Alberto Rodriguez Casal is a Professor in the Department of Statistics, Mathematical Analysis and Optimization at the Faculty of Mathematics, University of Santiago de Compostela. He is affiliated with the Galician Mathematical Research and Technology Center (CITMAga) and leads the MODESTYA research group focused on Optimization, decision, statistical models and applications. His research primarily focuses on nonparametric statistics, with special emphasis on: Set and boundary estimation Density level sets and shape analysis Statistical methods for geometric inference Nonparametric estimation under shape constraints Analysis of his publication record spanning nearly two decades shows a consistent focus on geometric and shape-related statistical problems. His work bridges theoretical statistical developments with practical applications in areas such as environmental statistics and spatial analysis. Recent publications demonstrate continued innovation in data-driven methods for shape and boundary estimation, particularly through the application of alpha-shapes and other computational geometry approaches to statistical problems. Professor Rodriguez Casal has established significant collaborative networks, particularly with researchers including Saavedra-Nieves, Paula; Crujeiras, Rosa María; de Uña-Álvarez, Jacobo; Pateiro-López, Beatriz; and Cuevas, Antonio. His work has been published in top statistical journals including The Annals of Statistics, Journal of the American Statistical Association, Test, and Journal of Nonparametric Statistics, with over 25 publications since 2004 that have been cited more than 300 times.

• Forest Fires
• Wildland-Urban Interface Fires
• Technological Risk
• +۵ مورد دیگر

Elsa Pastor Ferrer is a Professor in the Department of Chemical Engineering at the School of Engineering of Eastern Barcelona (EEBE), Universitat Politecnica de Catalunya (UPC). She serves as a contracted professor (Catedràtic contractat) and leads significant research in forest fires and technological risk assessment. Her work spans multiple research groups including CERTEC (Center for Technological Risk Studies) and CER-H2 (Research Center for Hydrogen at UPC). Dr. Pastor Ferrer's research focuses on wildland-urban interface (WUI) fires, fire safety engineering, and technological risk assessment. Her expertise encompasses wildfire risk modeling, structural protection against fires, vegetation flammability, and hydrogen safety. She has developed methodologies for vulnerability assessment at property level and created tools like TourGuard for infrastructure vulnerability assessment. Her work integrates computational fluid dynamics (CFD) with artificial intelligence for dynamic risk assessment in fire scenarios. Her recent publication trends show strong emphasis on practical applications of fire safety research, with numerous deliverables for EU projects like WUITIPS and FIREPRIME. These publications demonstrate growing integration of virtual reality for risk visualization and intelligent systems for dynamic risk assessment. Her work bridges theoretical fire science with practical risk mitigation strategies for communities and infrastructure. Best Poster Award - First Place (2025) Mención Honorífica de DOCTOR EUROPEO (European Doctor Mention of Honor) Dr. Pastor Ferrer actively advises PhD students including Juan Antonio Muñoz Navarro, Francisco de Borja Rengel Darnaculleta, and Mario Miguel Valero Perez. She leads multiple competitive research projects with funding from EU Civil Protection Mechanism, Horizon Europe, and Spanish national programs. Her work includes significant collaboration with Eulalia Planas Cuchi (275 joint publications) and Alba Àgueda Costafreda (77 joint publications). She contributes to major research initiatives including the 3D Fire LABoratory and the GUARDIAN project for WUI fire protection. Her work extends to practical applications like assessing fire behavior in parking structures and developing irrigation technologies for wildfire protection.

• Big Data applications
• Machine Learning
• Data Mining
• +۷ مورد دیگر

David Gil Méndez is a Full Professor in Computer Architecture and Technology at the Department of Information Technology and Computing, University of Alicante. He earned his Doctorate in Computer Engineering from the University of Alicante in 2008 and has supervised 5 PhD theses to date. Member of European Network of Scientific Excellence in AI (ELLIS) Coordinator of 3 European COST Action projects (2021-2027) Published 50+ JCR journal articles His research focuses on Big Data applications, Machine Learning, Data Mining, IoT, and Human Activity Recognition, with particular emphasis on healthcare AI and clinical data analysis. He has developed frameworks for decentralized IoMT environments and conducted extensive work on explainability in medical machine learning models. Recent publications address metastasis prediction in rare tumors (2025), photovoltaic energy forecasting (2022), and blockchain voting systems (2020). His work spans both theoretical and applied domains, including educational data mining and cyber-physical systems. As teaching experience, he has delivered courses in Operating Systems (14 times), Computational Modeling (5 times), Data Mining (5 times), and Big Data Technologies (5 times) at University of Alicante across multiple engineering disciplines. He leads research projects funded by: European Commission (3 active COST Actions) Valencian Government (2020-2021) Spanish Ministry of Education (2009-2010)

• Fluid Mechanics
• Fire Simulation
• Fluid-Structure Interaction
• +۳ مورد دیگر

Candido Gutiérrez Montes serves as a Professor at the University of Jaén within the Department of Mechanical and Mining Engineering. He maintains dual affiliations with the Interuniversity Institute for IT System Research and the Fluid Mechanics and Fluid-Structure Interaction Group of Jaén (GIIF-IA), where he conducts specialized research in fluid dynamics. His academic foundation includes a Doctorate from Universidad Politécnica de Cartagena (2009), with doctoral research supervised by Dr. Enrique Sanmiguel Rojas and Dr. Antonio Viedma Robles. His thesis established expertise in numerical modeling and experimental validation of fire behavior in large-volume building enclosures like atriums. Professor Gutiérrez Montes' research portfolio centers on critical engineering domains: Fluid Mechanics fundamentals Fire dynamics simulation in complex structures Fluid-structure interaction phenomena Computational modeling for safety engineering Through his leadership in the Fluid Mechanics Group, he bridges theoretical fluid dynamics with practical fire safety applications, particularly addressing architectural challenges in modern building design where conventional fire models fail. His work directly impacts safety protocols for large public spaces requiring specialized ventilation and containment strategies. Current academic activities focus on advancing simulation methodologies for thermal fluid dynamics in building environments, with emphasis on validating computational models against physical experiments to improve predictive accuracy for emergency response planning.

• Statistical Mechanics
• Telecommunications
• Nanomaterials
• +۶ مورد دیگر

Dr. Mario Castro Ponce is a Professor at the Escuela Técnica Superior de Ingeniería (ICAI) , Universidad Pontificia Comillas, where he has worked for 28 years. He holds a Ph.D. in Physics from Universidad Complutense de Madrid and serves as a Visiting Professor at the University of Leeds since 2016-2017. His research bridges Statistical Mechanics with applications in Complex Systems , Biophysics , and Epidemiology , with a focus on modeling experimental data through analytical and computational methods. Education: Ph.D. in Physics, Universidad Complutense de Madrid B.S. in Physics, Universidad Complutense de Madrid Research Themes: Statistical mechanics of complex systems Ion-beam nanopatterning Theoretical immunology Wildfire dynamics Biofluid microrheology Machine learning in social science Publications (89+ peer-reviewed) span interdisciplinary topics, including: SARS-CoV-2 geometry and T-cell receptor dynamics Non-Newtonian blood flow modeling Wildfire risk assessment via Bayesian networks Viscoelastic thermosyphon systems Complex pattern formation in biological and physical systems Funding includes 6 principal investigator projects for Spain's Ministry of Science and participation in 3 EU Horizon 2020/Marie Skłodowska-Curie actions. His work has been cited over 2000 times.

• Computational Mechanics
• Finite Element Methods
• Fluid Dynamics
• +۴ مورد دیگر

Ricardo Javier Principe Rubio is a Researcher at the Universitat Politècnica de Catalunya (UPC), affiliated with the Barcelona East School of Engineering (EEBE) and the Department of Fluid Mechanics. He is a key member of the ANiComp (Numerical Analysis and Scientific Computing) and (MC)² (Computational Mechanics in Continuous Media) research groups. His work bridges high-performance computing, fluid dynamics, and numerical methods, with applications in fusion technology, environmental engineering, and nanomaterials. His research focuses on advanced computational techniques, including finite element methods, uncertainty quantification, and parallel algorithms for large-scale simulations. Recent projects involve anisotropic mesh adaptation, multilevel Monte Carlo methods, and stabilized formulations for multiphase flows. Principe actively contributes to UPC's scientific software ecosystem, notably through the FEMPAR framework for parallel finite element modeling. Awards include the Premi Extraordinari de doctorat 2010 for outstanding doctoral research. He leads/participates in competitive R&D projects funded by Catalan and EU programs, such as EXAscale Quantification of Uncertainties for Technology and Science Simulation (EXAQUAT). Collaborative networks span Barcelona Supercomputing Center and international consortia.