Prof. Jaume Sanz Subirana is a Tenure Full Professor of Mathematics at the Universitat Politècnica de Catalunya (UPC), BarcelonaTECH, and a Senior GNSS Scientific Researcher. He has been affiliated with the Department of Mathematics since 1983. His primary research focuses on GNSS data processing algorithms, ionospheric sounding, and high-accuracy navigation systems like WARTK and Fast-PPP. He co-founded the spin-off company gAGE-NAV S.L. in 2009 and served on the European Space Agency's GNSS Scientific Advisory Group (2018-2022). Prof. Sanz Subirana holds a Physics degree (1982) and a PhD in Galactic Dynamics (1987) from the Universitat de Barcelona. He has authored over 100 peer-reviewed papers (50+ in top JCR journals), 200 conference works, five books (including ESA-commissioned volumes), and holds four patents. His work has earned four best paper awards and UPC's Merit Recognition for teaching excellence. His research group, gAGE/UPC, specializes in GNSS navigation algorithms, ionospheric monitoring, and SBAS/GBAS systems. Key contributions include ionospheric gradient monitoring, real-time kinematic positioning, and mitigation of space weather effects on navigation signals.
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Andrea Ianiro is a Full Professor in the Aerospace Engineering Department at Universidad Carlos III de Madrid (UC3M), where he leads research in fluid dynamics, turbulence, and heat transfer. His work bridges experimental techniques and machine learning applications for flow analysis and control. He serves as Associate Editor of the International Journal of Heat and Mass Transfer (2025-2028) and directs the EFM Lab (Experimental Fluid Mechanics Laboratory) at UC3M. Professor Ianiro's research focuses on turbulence characterization, boundary layer flows, and the application of machine learning to fluid mechanics problems. His work spans experimental techniques including Particle Image Velocimetry (PIV), infrared thermography, and advanced data processing methods. Recent research emphasizes data-driven approaches for flow field reconstruction, turbulence control, and heat transfer optimization in wall-bounded flows. His projects often combine theoretical, experimental, and computational approaches to address complex fluid mechanics challenges. The analysis of his recent publications reveals a strong trend toward integrating machine learning with traditional fluid mechanics. His work increasingly focuses on using deep learning techniques (particularly CNNs and GANs) for flow field prediction from limited measurements, developing meshless computational methods for flow analysis, and applying optimization techniques (including genetic algorithms) to heat transfer enhancement. His research maintains a strong experimental foundation while embracing data-driven approaches to tackle turbulence modeling challenges. Associate Editor of the International Journal of Heat and Mass Transfer (2025-2028) Professor Ianiro leads multiple significant research projects including SPANDRELS (SParse AND paRsimonious Event-based fLow Sensing, 2025-2030), HumanIC (Human-Centric Indoor Climate for Healthcare Facilities, 2024-2027), and EXCALIBUR (Extraction of machine learning strategies for turbulent flow control, 2023-2026). His work has attracted funding from the European Commission, Spanish National Research Agency, and industry partners including Airbus. He has supervised numerous theses on topics including AI-based sensing of turbulent flows, convective heat transfer control, and turbulent boundary layers. At UC3M, Professor Ianiro directs the Experimental Fluid Mechanics Laboratory (EFM Lab), which focuses on advanced measurement techniques for fluid flow and heat transfer characterization. The lab specializes in PIV/PTV techniques, infrared thermography, and the development of novel experimental approaches for turbulence research. Current research directions include machine learning applications for flow field reconstruction, plasma-based flow control, and heat transfer optimization in complex flow configurations.
- Fluid Dynamics
- Turbulence
- Heat Transfer
- +۶ مورد دیگر
Marco Raiolaمشاهده پروفایل
دانشیار
Marco Raiola is an Associate Professor at the Department of Aerospace Engineering , Universidad Carlos III de Madrid (UC3M). His research focuses on fluid dynamics, turbulence, and aerodynamics, with applications in flow diagnostics, heat transfer, and control systems. Research Interests: Turbulent flows, data-driven modeling, particle image velocimetry (PIV), convective heat transfer, and bio-inspired aerodynamics. Projects: Principal researcher in INFLUENTIA-CM-UC3M (2024-2026) and Diagnóstico del ruido de chorro (2022-2025). Collaborator in EU-funded initiatives like HumanIC and ODE4HERA . Contact: Email mraiola@ing.uc3m.es | ORCID: 0000-0003-2744-6347
- Aeronautics
- Mechanical Engineering
- Fluid Dynamics
- +۵ مورد دیگر
Santiago Badia is a Full Professor of Computational Science and Engineering at Universitat Politècnica de Catalunya (UPC), holding an adjoint researcher position at the International Center for Numerical Methods in Engineering (CIMNE). He leads the Large Scale Scientific Computing (LSSC) group at CIMNE, focusing on finite element methods, numerical analysis, and high-performance computing. His research emphasizes fluid dynamics, multiphysics problems, and scalable solvers for large-scale systems. Previously, he worked at Politecnico di Milano and Sandia National Labs. He developed the FEMPAR software framework, a parallel finite element tool for PDE simulations, achieving landmark scalability (e.g., 60 billion unknowns on 458,672 cores). FEMPAR is recognized in the High-Q Club of European codes. His expertise includes discontinuous Galerkin methods, XFEM, and domain decomposition preconditioners. Research interests span metal additive manufacturing, superconductor devices, and nuclear engineering applications. Awards include FEMPAR's High-Q Club inclusion. He advises PhD and MSc students (e.g., Jesus Bonilla, Eric Neiva, Marc Olm) and has open positions in postdoc/PhD levels. His team includes researchers like Javier Principe and Alberto Martín. Ongoing projects involve advancing parallel algorithms, multiphysics simulations, and software scalability for exascale computing.
Josep Maria Bergadà Granyó is an Associate Professor in the Department of Fluid Mechanics at the Escola Superior d'Enginyeries Industrial, Aeroespacial i Audiovisual de Terrassa (ESEIAAT), Universitat Politècnica de Catalunya (UPC). He is actively involved in research through the UPC MICROTECH LAB and CATMech – Centre Avançat de Tecnologies Mecàniques. With a Doctorate in Industrial Engineering, he has a strong academic and research profile spanning decades. His research interests focus on fluid dynamics, particularly Active Flow Control , Fluid Power (Hydraulics) , Piston Pumps , Gas Dynamics , and Computational Fluid Dynamics . He applies these areas to enhance aerodynamic performance in wind turbines and industrial systems. His work employs advanced numerical methods such as the lattice Boltzmann method and RANS simulations, with a strong emphasis on optimizing flow behavior in complex geometries and energy systems. The recent publications highlight a consistent trend in aerodynamic efficiency optimization , especially in wind turbines using active flow control and synthetic jets. His research spans both theoretical modeling and practical applications, including dimensional modifications in fluidic oscillators and turbulence boundary condition effects. These efforts contribute significantly to renewable energy and sustainable engineering solutions. Among his recognitions is the Premi Iniciativa Digital Politècnica 2019 . He has led and participated in multiple competitive R&D projects, demonstrating strong grant acquisition and collaborative capabilities. He has supervised doctoral students such as K. Karimzadegan, M. Baghaei, and B. An, indicating an active role in academic mentoring. His collaborations extend across various research groups at UPC, particularly with experts in mechanical, aerospace, and textile engineering. He is a key figure in the Fluid Mechanics Department, contributing to both teaching and cutting-edge research in fluid dynamics and its industrial applications.
Alvaro Meseguer Serrano is an Associate Professor at the Polytechnic University of Catalonia (UPC), affiliated with the Department of Applied Physics and the School of Engineering of Roads, Canals, and Ports of Barcelona. He holds a BSc in Theoretical Physics from the University of Barcelona (1992) and a PhD in Applied Physics from UPC. His research focuses on hydrodynamic instabilities, transition to turbulence, and spectral methods in fluid dynamics. He has supervised three PhD theses and currently advises two students: Roger Ayats and Baoying Wang. His work involves computational fluid dynamics and dynamical systems analysis, with notable contributions to understanding Taylor-Couette flow instabilities and pipe flow turbulence. Meseguer has authored over 36 indexed publications with an h-index of 15. Research interests include computational fluid dynamics, bifurcation theory, and stability analysis of shear and centrifugal flows. His group, the Nonlinear Fluid Dynamics Group, explores transitional coherent structures and edge states in subcritical flows. Recent work examines Feigenbaum universality in Taylor-Couette systems and relativistic proton dynamics in Earth's magnetosphere. He has organized international conferences like BIFD2011 and the International Couette-Taylor Workshop. His teaching spans numerical methods, mathematical physics, and fluid dynamics at UPC's engineering programs. Professional activities include serving on conference committees and contributing to research projects funded by national grants. He collaborates with institutions like the Barcelona Supercomputing Center and maintains an active presence in the fluid dynamics community through publications, software development (e.g., spectral methods codes), and educational outreach.
Gustavo Decoمشاهده پروفایل
استاد پژوهش
Gustavo Deco is a Research Professor at the Institució Catalana de Recerca i Estudis Avançats (ICREA) and holds a Professorship (Catedrático) at Pompeu Fabra University (UPF). He leads the Computational Neuroscience Group and directs the Center of Brain and Cognition at UPF. His research focuses on computational models of brain dynamics, integrating biophysics, neuroimaging, and complex systems principles. Deco’s academic journey includes a PhD in Physics (1987, thesis on Relativistic Atomic Collisions), postdoctoral work at the University of Bordeaux (France) and University of Giessen (Germany), and a Habilitation in Computer Science (1997, Technical University of Munich). He has led computational neuroscience research at Siemens Corporate Research Center (1990–2003) and pioneered whole-brain modeling frameworks like The Virtual Brain (TVB). His research interests span critical brain dynamics, non-equilibrium thermodynamics in neural systems, psychedelics’ effects on brain hierarchy, and clinical applications of computational models in disorders such as Alzheimer’s and depression. Recent work emphasizes turbulence-like dynamics in healthy and diseased brains, and biomarker discovery using AI-driven simulations. Deco’s articles (2024–2025) explore topics like entropy production in brain networks, psychedelics-induced flattening of functional hierarchies, sleep-like dynamics post-stroke, and the role of long-range connections in global brain communication. His work bridges theoretical models with clinical insights, aiming to advance personalized neurology and digital brain research.
- Computational Neuroscience
- Neuroscience
- Biophysics
- +۳ مورد دیگر
Jose Miguel Reynolds Barredo is an Associate Professor and Director of the Doctorate in Plasmas and Nuclear Fusion at Carlos III University of Madrid. His research focuses on plasma physics, magnetohydrodynamics (MHD), and energy systems resilience. He leads studies on stellarator reactor design, plasma confinement optimization, and the integration of renewable energy into power grids. His work spans advanced MHD equilibrium solvers (e.g., SIESTA, FLIPEC) and fusion device optimization for ITER and Wendelstein 7-X. He also investigates climate impacts on renewable energy efficiency and power grid stability under high renewable penetration. Notable contributions include HVDC grid segmentation strategies and non-axisymmetric plasma transport modeling. Key Areas: Fusion reactor design, MHD stability, power grid resilience, climate-energy interactions Tools: SIESTA, FLIPEC, GENE, OPA cascading blackout model Projects: Doctorate in Plasmas and Nuclear Fusion, W7-X bootstrap current studies, climate-energy system interdependencies Research emphasizes computational plasma physics and interdisciplinary energy solutions, blending theoretical, numerical, and applied engineering approaches.
Adrián García Gutiérrez is a Professor in the Department of Aerospace Engineering at the University of León's College of Engineering. His research focuses on aerospace systems, uncertainty quantification in CFD, atmospheric boundary layer modeling, and airship technology. Recent publications highlight his work in parallel orbital propagation algorithms, stochastic optimization of high-altitude platforms, and neural network applications for wind profiling. Key trends include aerodynamic modeling under uncertainty and interdisciplinary approaches combining turbulence analysis with LiDAR measurements. He contributes to educational innovation in aerospace engineering through simulation-based learning tools and leads the GITA Tecnología Aeroespacial research group.
Dr. Lluis Batet Miracle is a Professor at the Universitat Politècnica de Catalunya (UPC) with the Department of Physics . He leads the Advanced Nuclear Technologies Research Group (ANT) and has contributed extensively to nuclear fusion technology, thermal hydraulics, and liquid metal systems. His work spans reactor safety analysis, tritium processing, and magnetohydrodynamic modeling. Expertise : Nuclear Engineering, Plasma Physics, Computational Fluid Dynamics, Fusion Reactor Design, Tritium Management Notable Projects : CONSOLIDER TECNO-FUS (2009-2013), EURATOM collaborations, HCLL Breeding Blanket Systems for ITER Research Trends : Recent publications focus on helium solubility in liquid metals, bubble dynamics in fusion blankets, and MHD simulations under nuclear conditions. His work combines atomistic modeling, high-fidelity CFD, and experimental validation for tritium and hydrogen systems in fusion reactors. Collaborations : Regularly works with Luis Sedano, Eduardo Ríos, Jordi Martí, Francesc Reventos, and Elisabet Mas de les Valls Grants : Involved in Horizon Europe, EURATOM, and Spanish National Research programs
Oriol Guasch Fortuny is Full Professor at the Department of Engineering, La Salle, Ramon Llull University in Barcelona, specializing in computational acoustics and aeroacoustics. He holds a five-year Physics degree from Universitat de Barcelona and a PhD in Computational Mechanics from UPC. His research spans acoustic black holes , graph theory in vibroacoustics, parametric array technology , and numerical voice production . Current projects: GENIOVOX (expressive voice generation), EUNISON (voice simulation) Editorial roles: Subject Editor , Journal of Sound and Vibration Leadership: Heads acoustics research in the GTM group His 15 most recent publications focus on acoustic black hole applications in vibration control, parametric loudspeaker optimization , and chaotic vocal fold modeling . Work combines finite element analysis with theoretical acoustics . Collaborations include: CIMNE (UPC, Barcelona) GIPSA-LAB (Grenoble, France) INSA Lyon (France) Northwestern Polytechnical University (Xi’an, China) KTH Stockholm (Sweden) Patents: NºU-201230809: Horn amplifier for parametric arrays Nº201230043: Omnidirectional ultrasonic sound source
MARTIN SOLIS, JOSE RAMON is a Full Professor in the Department of Physics at Carlos III University of Madrid (UC3M), where he conducts cutting-edge research in plasma physics and nuclear fusion. His work is central to understanding runaway electrons and disruption phenomena in tokamaks, with critical implications for the ITER project and future fusion reactors. Research Interests: His research spans plasma instabilities, runaway electron dynamics, disruption mitigation, magnetic confinement fusion, and plasma-wall interactions. He applies theoretical, computational, and experimental approaches to model and diagnose high-energy electron generation and control in fusion plasmas. Recent Research Trends: His most recent publications (2019–2023) focus on cross-machine analysis of runaway electron generation, formation and termination of runaway beams, radial losses during disruptions, and diagnostic development such as the Runaway Electron Imaging Spectrometry (REIS) system. These works are published in top journals like Nuclear Fusion , Physics of Plasmas , and Physical Review Letters , and are highly relevant to ITER safety and operational protocols. Principal Investigator on multiple national and EU-funded projects related to ITER disruption modeling and plasma edge physics. Collaborator with the ITER Organization and member of the ITER Scientist Fellows Network. Active in international collaborations with JET, FTU, DIII-D, and ASDEX Upgrade. Scientific Recognition: ORCID: 0000-0003-0458-4405 High Mendeley readership and citations across policy and news sources. Contributor to Wikipedia and policy documents on fusion topics. Advising and Grants: Supervised multiple PhD theses on topics including runaway electrons in FTU, turbulence studies, and pellet injection physics. Principal Investigator on grants from AEI, Ministry of Economy, European Commission, and ITER Organization (2013–2026). Key roles in EUROFUSION projects focusing on runaway electrons and plasma-material interactions. Labs and Teams: Member of the Física de Plasmas research group at UC3M, collaborating with the UC3M4ITER initiative and national/international fusion laboratories. His work integrates modeling, diagnostics, and experimental validation across major tokamak facilities.
- Plasma Physics
- Nuclear Fusion
- Tokamak Disruptions
- +۵ مورد دیگر
Eduardo Antonio Ahedo Galilea is a Full Professor in the Department of Aerospace Engineering at Universidad Carlos III de Madrid (UC3M), leading the Plasmas and Space Propulsion Team (EP2). His research focuses on plasma propulsion systems, particularly Hall thrusters, magnetic nozzles, and helicon plasma thrusters, with expertise in plasma dynamics, wave-plasma interaction, and spacecraft-plume effects. Current projects: MLPLUS-CM (2025-2028), PROPULSION ELECTROMAGNETICA POR EFECTO HALL (2023-2026) International collaborations: European Commission, Airbus Defense and Space, SENER His recent publications analyze non-stationary plasma expansions, electron cooling mechanisms, and magnetic nozzle physics across multiple thruster designs. He supervises theses on turbulent transport, wave-plasma interaction, and fluid-kinetic thruster modeling. Grants include funding from the European Commission Research Executive Agency, Agencia Estatal de Investigación (AEI), and regional programs like RIS3-CAM.
María Teresa García Marco is a Professor in the Department of Business Management at the Public University of Navarra, where she conducts research through the INARBE Institute for Advanced Research in Business and Economics. Her academic career spans over two decades since earning her PhD in Economics from Carlos III University of Madrid in 1996. Her research interests focus on innovation management, with particular expertise in open innovation strategies, corporate social responsibility integration, and organizational dynamics in business contexts. She examines how firms can leverage R&D team diversity, strategic partnerships, and environmental factors to enhance innovation performance across various industries and institutional settings. Analysis of her recent publications reveals a strong trend toward examining the intersection of sustainability practices and innovation performance, with increasing attention to how institutional contexts shape business responses to environmental challenges. Her work bridges theoretical frameworks with practical business applications, particularly in family firms and Latin American markets. Finalista Premio General ACEDE 2018 Premio al mejor poster: Profiting from Open Innovation: an Exploratory Research (2015) Best Paper Student Award: Technological innovation efficiency; measurement and effects on firm performance (2011) As a supervisor, she has guided numerous doctoral students to completion and currently serves as Principal Investigator on multiple research projects including 'Gestionando personas para organizaciones sostenibles e innovadoras' (2021-2026) and 'Factores impulsores de la adopción de la innovación medioambiental' (2022-2025), which together represent significant research funding from the Spanish Ministry of Science and Innovation. She actively participates in the INARBE research institute, contributing to its mission of advancing business and economic research with practical applications.
Prof. Leticia Tarruell leads the Ultracold Quantum Gases Group at the Institut de Ciències Fotòniques (ICFO). Her work focuses on experimental quantum simulation using ultracold atoms to engineer novel quantum matter and address complex physics problems across condensed matter and high-energy domains. She has secured notable grants including the ERC Consolidator Grant (SuperComp), PASQuanS 2.1 under the Quantum Technologies Flagship, and projects funded by the Agencia Estatal de Investigación and German Research Agency (DFG). These grants support research on light-dressed quantum gases, lattice gauge theories, and synthetic dimensions. Her research emphasizes atom-light interactions to create controllable quantum systems, enabling precise studies of phenomena like topological phases and quantum droplets. The group actively engages in developing quantum technologies, such as quantum-gas microscopes for strontium atoms, and explores theoretical concepts like synthetic dimensions and gauge fields. Current opportunities include postdoctoral and PhD positions in quantum-gas microscopy and SU(N) Fermi-Hubbard model simulations. No scientific awards are explicitly mentioned. Her advising efforts include mentoring students in experimental quantum simulation, with positions available in ongoing projects. Major funding sources include the European Commission (ERC, H2020), Spanish agencies (Agencia Estatal de Investigación, Plan España), and international collaborations like DFG. The group maintains advanced equipment projects focused on strontium atom trapping and laser systems.