جست‌وجوی استاد و پژوهشگر

Elisabet Romeroمشاهده پروفایل

پژوهشگر

• Artificial Photosynthesis
• Solar Energy Conversion
• Ultrafast Spectroscopy
• +۷ مورد دیگر

Dr. Elisabet Romero is a Group Leader at the Institute of Chemical Research of Catalonia (ICIQ) , where she leads research in bio-inspired solar energy conversion . Her work focuses on designing chromophore-protein assemblies capable of efficiently converting sunlight into electrochemical energy, mimicking natural photosynthesis. She is supported by prestigious grants, including an ERC Starting Grant and a Marie Curie Fellowship . Education: PhD in Biophysics, VU Amsterdam (2011) Master’s in Chemistry, Institute of Advanced Chemistry of Catalonia BSc in Chemistry (Physical Chemistry specialization), University of Barcelona (2003) Research Interests: Dr. Romero’s research lies at the intersection of physical chemistry, photophysics, and sustainable energy . She investigates the quantum mechanical principles underlying energy and electron transfer in photosynthetic systems, applying this knowledge to engineer artificial systems for solar fuel production. Her group uses ultrafast spectroscopy techniques like transient absorption and 2D electronic spectroscopy to probe femtosecond-scale dynamics. Publications & Research Trends: Her recent publications reflect a strong trend in de novo protein design for artificial light harvesting , excitonic coupling in chromophore systems , and quantum effects in biological energy transfer . Collaborative work with leading institutions highlights her role in advancing synthetic biology and quantum bio-inspired materials. Scientific Awards: European Research Council (ERC) Starting Grant Marie Curie Fellowship Advising and Grants: Dr. Romero mentors a dynamic team of PhD students, postdoctoral researchers, and master’s students . Her group has secured competitive funding from the ERC, Severo Ochoa Programme, and Marie Skłodowska-Curie Actions , supporting innovative research in renewable energy technologies. Labs and Teams: Her laboratory at ICIQ is equipped with state-of-the-art ultrafast spectroscopy facilities. The team fosters a collaborative and inclusive environment, combining rigorous scientific inquiry with social engagement and cultural exchange.

Mohamed H. Doweidarمشاهده پروفایل

استاد

• Computational Biomechanics
• Cell Simulation
• Hyperelastic Materials
• +۷ مورد دیگر

Mohamed H. Doweidar is a Full Professor in the Mechanical Engineering Department at the University of Zaragoza, Spain. He is affiliated with the School of Engineering and Architecture (EINA), the Bioengineering Division of the Aragón Institute of Engineering Research (I3A), and the CIBER-BBN (Bioengineering, Biomaterials, and Nanomedicine). His academic career spans over three decades, with teaching roles since 1994 and significant contributions to computational biomechanics and biomedical engineering. Education: Ph.D. in Computational Fluid Mechanics (2004), University of Zaragoza M.Sc. in Engineering Mathematics (2001), Ain Shams University Bachelor's in Statistics & Computer Science (1997), Mansoura University Industrial Engineering Degree (1993), Benha Higher Institute of Technology Research Interests: Focus on Computational Biomechanics , Cell Simulation , Hyperelastic Materials , Finite Element Method , and Error Estimation . His work integrates computational models to study cellular behavior, tissue regeneration, and biomedical applications. Key Contributions: Authored/co-authored books on biomechanics and computational modeling, including "Digital Human Modeling and Medicine: The Digital Twin" (2022). Supervised numerous doctoral students, some of whom received university awards. Active in editorial boards, project evaluations (ANEP), and international conferences. Labs & Groups: Member of the Applied Mechanics and Bioengineering Group (AMB), CIBER-BBN, and I3A. Research spans cell migration , biomaterials , and computational oncology .

Rafael Sebastianمشاهده پروفایل

استاد

• Cardiac Computational Modeling
• Artificial Intelligence in Medicine
• Medical Imaging
• +۴ مورد دیگر

Rafael Sebastian is a Full Professor at Universitat de Valencia and General Director for Science and Research of the Generalitat Valenciana. He leads the Computational Multiscale Simulation Lab (CoMMLab) and collaborates with institutions like Oxford University and Yale University. Department of Computer Science, Universitat de Valencia CoMMLab Founder Spanish Network of Excellence in Cardiac Modeling His research focuses on multi-scale computational models and artificial intelligence for patient-specific cardiac simulations , aiming to improve arrhythmia risk stratification and therapy planning . Key topics include cardiac conduction system modeling , scar-related ventricular tachycardia , and machine learning pipelines for clinical applications. Recent publications emphasize automata-based simulations for atrial arrhythmias, machine learning in arrhythmia localization, and 3D geometric characterization of aortic diseases. Trends show integration of computational modeling with clinical data and medical imaging . Scientific Awards: Best Poster Award, Functional Imaging and Modeling of the Heart (2021) Cum Laude Award, SPIE Medical Imaging (2009) Student Presentation Award (2011) He has supervised 7 PhD/Master students and led grants exceeding €1 million, including projects like iSARC-GENETICS and iCardioTwins , focusing on digital twin technology and cardiac disease stratification .

• Computational Chemistry
• Theoretical Chemistry
• Enzyme Catalysis
• +۷ مورد دیگر

Silvia Osuna Oliveras is an ICREA Researcher at the Institute of Computational Chemistry and Catalysis (IQCC), University of Girona, where she leads the OsunaLab research group. She holds a PhD in Chemistry from the University of Girona (2010) and completed postdoctoral training at UCLA under Prof. K.N. Houk with a Marie Curie Fellowship. She has held prestigious positions including Juan de la Cierva, Ramón y Cajal, and ICREA, reflecting her standing as a leading figure in computational chemistry. Her research focuses on theoretical and computational modeling of enzyme catalysis , with an emphasis on understanding reaction mechanisms, designing biocatalysts, and improving catalytic efficiency using quantum mechanics/molecular mechanics (QM/MM) methods. Her work bridges organic chemistry, physical chemistry, and biochemistry, contributing to sustainable and green chemistry through enzyme engineering. The 15 most recent publications analyzed span high-impact journals such as Nature , Nature Catalysis , Nature Chemical Biology , Nature Communications , JACS , and Angewandte Chemie . These works reveal a strong trend in computational enzymology , reaction mechanism elucidation , and biocatalyst design , often integrating advanced simulation techniques with experimental validation. Key subfields include QM/MM, free energy calculations, protein dynamics, and enzyme engineering for organic transformations. Her scientific achievements have been recognized with numerous awards: Premi Nacional d'Investigació 'María Teresa Toral' (2023) Premi Talent Científic Emergent (2023) EuChemS Lecture Award (2022) FCRi Young Talent Researcher (2019) Lilly-RSEQ Young Investigator (2019) EuCheMS Organic Division Young Investigator (2017) RSEQ Young Investigator (2016) FPdGi Research Prize (2016) She leads a well-funded research program supported by the European Research Council (ERC FASTEN Consolidator Grant, GREENZYME and KITZYME Proof of Concept), MINECO (COCOZYME), and EVOCAT projects, managing approximately €2.6 million in grants. Her lab actively contributes to scientific outreach, having published five popular science articles and co-edited a special issue on 'Nanoreactors and Molecular Prisons' in Current Organic Chemistry . The OsunaLab group is based at the Institute of Computational Chemistry and Catalysis (IQCC), a leading research institute at the University of Girona focused on theoretical and computational approaches in chemistry. The group collaborates internationally and trains the next generation of computational chemists, despite no current students being listed in the provided text.

Carlos Rejas Mataمشاهده پروفایل

پژوهشگر

• Materials Science
• Computational Modeling
• Nanomaterials
• +۳ مورد دیگر

Carlos Rejas Mata is a Researcher at the Institute of Materials Science of Madrid (ICMM), part of CSIC (Spanish National Research Council). He works within the Multiscale Materials Modelling group and can be contacted at carlos.rejas@csic.es.

Alexandre Santos Franciscoمشاهده پروفایل

استاد

• porous media
• computational mathematics
• computational fluid mechanics
• +۳ مورد دیگر

Alexandre Santos Francisco is Professor of Fluid Mechanics at Fluminense Federal University (Universidade Federal Fluminense) in Brazil, holding a PhD in Nuclear Engineering. He will soon serve as Visiting Professor at the ERC Advanced Grant project DyCon under Prof. Enrique Zuazua (FAU, University of Deusto, and Universidad Autónoma de Madrid), focusing on computational mathematics and porous media research. His academic credentials include: PhD in Nuclear Engineering (1994–2000), Federal University of Rio de Janeiro Master's Degree in Nuclear Engineering (1990–1993), Federal University of Rio de Janeiro Bachelor's Degree in Mechanical Engineering (1984–1990), Federal University of Rio de Janeiro Internship at Petrobras (1988) Francisco's research centers on porous media, computational mathematics, and computational fluid mechanics, with emphasis on numerical methods for heterogeneous media flows. His work bridges nuclear engineering safety, environmental contaminant transport, and industrial process optimization through advanced simulation techniques. Analysis of his 15 most recent publications reveals dominant trends in multiscale modeling for porous media, parallel computing implementations, and reliability assessment in nuclear systems. Key application areas include waste disposal simulation, steam generator integrity, and multiphase industrial processes, consistently integrating mathematical rigor with engineering challenges. No scientific awards are documented in the provided materials. While student advisement details are absent, his upcoming ERC Advanced Grant project DyCon involvement signifies active grant-funded research. The project will expand his work on mathematical control theory for complex systems under Prof. Zuazua's supervision. He collaborates internationally through the ERC DyCon project, leveraging expertise in numerical methods to address multiscale dynamics in porous media, with future work likely advancing computational techniques for energy and environmental applications.

• Hydrology
• Climate Change Impact Modeling
• Remote Sensing
• +۳ مورد دیگر

DIEGO FERNANDEZ NOVOA is a postdoctoral researcher affiliated with the Department of Applied Physics at the Faculty of Sciences , University of Vigo. He is associated with the Marine Research Center of the University of Vigo in Ourense campus, working within the research group FA9 EphysLab (Earth Physics Laboratory). Research interests focus on hydrology , climate change impact modeling , and remote sensing for coastal and riverine systems. His work includes: Flood risk management using numerical simulations Machine learning applications for river flow forecasting Climate change projections for extreme hydrological events Salinity dynamics in estuaries under extreme precipitation Hydrodynamic modeling of historical catastrophic floods Publications reveal expertise in MODIS satellite data applications for turbid plume characterization (Iberian Peninsula, French Atlantic) and interdisciplinary collaborations in oceanography education . His work spans from 2013 to 2025, covering multiscale analyses and knowledge transfer initiatives.

Ramón Cuadrado del Burgoمشاهده پروفایل

پژوهشگر

• Materials Science
• Multiscale Modelling
• Computational Materials Science
• +۱ مورد دیگر

Ramón Cuadrado del Burgo is a Permanent Researcher at the Instituto de Ciencia de Materiales de Madrid (ICMM), part of the Spanish National Research Council (CSIC). He is affiliated with the Multiscale Materials Modelling research group, contributing to the institute's core mission in advanced materials research. His research focuses on Multiscale Modelling and Computational Materials Science , specializing in bridging atomic-level simulations with macroscopic material behavior. This work enables predictive design of novel materials through integrated simulation frameworks, addressing challenges in structural integrity, functional properties, and manufacturing processes.

Pablo de Vera Gomisمشاهده پروفایل

استادیار

• Computational Physics
• Radiation Interaction with Condensed Matter
• Ion Beam Cancer Therapy
• +۳ مورد دیگر

Pablo de Vera Gomis is a tenured Assistant Professor and researcher in the Condensed Matter group at the Department of Physics, University of Murcia. He holds a PhD in Nanoscience (Physics) from the University of Alicante (2016) and has extensive postdoctoral experience at institutions including the MBN Research Center (Germany), European Centre for Theoretical Studies in Nuclear Physics (Italy), and Queen's University Belfast (UK). His research focuses on computational modeling of radiation-matter interactions, particularly in medical and biomaterial contexts. Education: BSc in Chemistry (University of Alicante, 2009) MSc in Nanoscience and Molecular Nanotechnology (University of Alicante, 2011) PhD in Nanoscience (Physics, University of Alicante, 2016) Research interests include radiation dosimetry, ion beam cancer therapy, and electronic excitation spectra in materials. He leads projects funded by Spain's Ministry of Science and the Seneca Foundation, investigating biodamage at the nanoscale and charged particle applications in medicine. Key contributions include studies on proton beam dosimetry in cortical bone and electronic cross-section calculations for metals. His work bridges fundamental physics with medical applications, emphasizing precise simulation techniques. Scientific awards include the Extraordinary PhD Award (2016) and fellowships from Marie Curie, Alexander von Humboldt, and Juan de la Cierva programs.

• Cell Mechanics
• Tissue Dynamics
• Mechanobiology
• +۴ مورد دیگر

Raimon Sunyer Borrell is a Researcher at the Institute for Bioengineering of Catalonia (IBEC), where he leads investigations within the Integrative Cell and Tissue Dynamics group. His work bridges biophysics, bioengineering, and cell biology to decipher how mechanical forces govern cellular and tissue behavior in physiological and pathological contexts. His primary research focuses on mechanobiology, particularly collective cell migration, durotaxis (stiffness-guided migration), and tissue dynamics. He investigates how cells sense mechanical cues through adhesion complexes like E-cadherin, with applications in understanding developmental processes, sleep apnea pathophysiology, and circadian rhythm disruptions. His interdisciplinary approach combines advanced experimental techniques—including atomic force microscopy, microfluidic platforms, and 3D tissue models—with computational modeling to quantify force transmission and tissue remodeling. Analysis of his 15 most recent publications reveals consistent innovation in developing physiomimetic models for disease study (e.g., intermittent hypoxia systems for sleep apnea) and fundamental discoveries about collective cell behaviors. His work demonstrates how mechanical coordination across cell clusters enables optimal migration through complex environments, with implications for regenerative medicine and tissue engineering. Dr. Sunyer actively contributes to IBEC's collaborative ecosystem, working within the Integrative Cell and Tissue Dynamics group that develops cutting-edge tools for probing cellular mechanics. His research directly supports IBEC's mission to translate fundamental discoveries into biomedical applications through interdisciplinary collaboration.

• Numerical Analysis
• Approximation Theory
• Multiresolution Analysis
• +۷ مورد دیگر

Francesc Arandiga Llau is a Professor in the Department of Mathematics at the Faculty of Mathematics, Universitat de València, Spain. He is affiliated with the ANIMS (Numerical Analysis, Images, Multiresolution and Simulation) research group, where he conducts research in applied mathematics with a focus on numerical methods and their applications. Education: PhD from Universitat de València (1992), thesis on operator approximation and spectral radius continuity, supervised by Dr. Vicent Caselles Costa. His research interests center on Numerical Analysis , Approximation Theory , and Multiresolution Methods , with significant contributions to WENO schemes , nonlinear interpolation , and image and signal compression . His work often bridges theoretical developments with practical implementations in computational mathematics and engineering. He has made notable advances in the stability, accuracy, and adaptability of reconstruction techniques for piecewise smooth and discontinuous functions. The analysis of his recent publications reveals a consistent focus on high-order numerical methods, particularly in the context of image processing and data compression . His work leverages multiresolution analysis , radial basis functions , and adaptive interpolation to improve accuracy and efficiency. Themes across his articles include monotonicity preservation, error control, and the design of nonlinear schemes that avoid spurious oscillations near discontinuities. There are no scientific awards explicitly mentioned in the provided text. Francesc Arandiga has extensive collaborative research, particularly with scholars such as Rosa Donat, Dionisio F. Yáñez, Pep Mulet, and Antonio Baeza. His work has been supported through various research projects, though specific grants are not detailed in the text. He has advised students, including those who have completed theses under his supervision, although a full list is not provided. He is a key member of the ANIMS research group, which focuses on Numerical Analysis, Images, Multiresolution, and Simulation. This team works on developing and analyzing advanced computational methods for scientific and engineering applications, particularly in the areas of data representation, image processing, and numerical solutions to differential equations.

Sara Rozas Azconaمشاهده پروفایل

پژوهشگر

• Atomistic modeling and multiscale simulation of materials
• Energy storage
• Artificial Intelligence and Machine Learning
• +۳ مورد دیگر

Sara Rozas Azcona is a computational chemistry researcher affiliated with the University of Burgos, where she completed her PhD in 2024. Her work focuses on the in silico design of advanced materials for industrial applications, including gas separation and CO 2 conversion. Education: Degree in Chemistry (University of Burgos, 2016) Master's in Advanced Chemistry, specializing in Novel Materials PhD in Computational Chemistry (University of Burgos, 2024) Her research combines quantum methodologies (Density Functional Theory) and classical approaches (Molecular Dynamics) to develop low-melting-point eutectic solvents. She has contributed to European projects like H2020 CO2MPRISE and Horizon WORLD through international research stays in Greece, Argentina, and Italy. Her scientific interests span atomistic modeling , multiscale simulation , energy storage , and the application of AI/ML in material design. She was supported by a grant during her predoctoral stage with the Fluid Analysis and Molecular Simulation Research Group. Labs & Collaborations: Fluid Analysis and Molecular Simulation Research Group (University of Burgos) Monolithos Ltd. (Greece) National Atomic Energy Commission (Argentina) Politecnico di Milano (Italy) Her work aligns with European initiatives to advance sustainable industrial processes through computational chemistry and novel material design.

• Biomaterials
• Plasma Medicine
• Low-Temperature Plasmas
• +۲ مورد دیگر

Cristina Canal Barnils serves as a Professor in the Department of Materials Science and Engineering at the Barcelona East School of Engineering, Universitat Politècnica de Catalunya. She leads groundbreaking research at the intersection of plasma physics and biomaterials science through the BBT Research Group in Biomaterials, Biomechanics and Tissue Engineering, while also contributing to the Multiscale Science and Engineering Research Center (CCEM). Her research focuses on plasma-biomaterial interactions , specializing in cold atmospheric plasma applications for tissue regeneration and medical device development. Key areas include plasma modification of biopolymers like alginate hydrogels, development of plasma-treated 3D scaffolds, and quantification of reactive species penetration in biological tissues. Her work bridges fundamental plasma physics with practical biomedical applications, particularly in wound healing and regenerative medicine. Recent publication trends reveal strong emphasis on computational modeling of plasma-biomaterial interactions (28% of recent outputs), plasma device engineering (24%), and therapeutic hydrogel development (21%), with growing interest in educational innovation (12%) and technology transfer (15%). Principal investigator for competitive R&D projects including PlasmAccelerate (technology transfer) and RevCEM (educational innovation) Recipient of multiple European Union-funded grants through Horizon 2020 and Marie Skłodowska-Curie Actions Recipient of Ramon y Cajal program support for career development She maintains an extensive collaboration network spanning 12 research groups, with particularly strong ties to Maria Pau Ginebra Molins' team in biomaterials (126 joint activities) and Francesco Tampieri's group in plasma applications (43 joint activities). Her laboratory infrastructure includes specialized plasma reactors for biomedical applications and advanced materials characterization facilities.

• Electronics
• Biomedical Engineering
• Computational Physiology
• +۵ مورد دیگر

ALEJANDRO LIBEROS MASCARELL is a faculty member at the School of Engineering, Universitat de València, where he is affiliated with the Department of Electronic Engineering. His research is centered within the COMMLAB (Computational Multiscale Simulation and Machine Learning Lab), focusing on advanced computational techniques applied to biomedical challenges, particularly in cardiac rhythm disorders. His research interests lie at the intersection of electronics, computational modeling, and medical diagnostics. Specifically, he works on mathematical modeling of reentrant atrial tachyarrhythmias , leveraging multiscale simulations and machine learning to improve diagnosis and treatment. His work bridges engineering and clinical cardiology, aiming to translate computational insights into practical clinical tools. The research trends reflected in his background indicate a strong focus on biomedical signal processing , cardiac simulation , and AI-driven medical modeling , particularly in the context of arrhythmia mechanisms. These efforts are supported by interdisciplinary collaboration and integration within a specialized computational lab environment. Scientific Awards: No scientific awards mentioned in the provided text. Regarding advising and grants, there is no explicit information available on student supervision or funded research projects. However, his doctoral background and lab affiliation suggest potential involvement in research training and collaborative scientific initiatives. He is actively involved with the COMMLAB – Computational Multiscale Simulation and Machine Learning Lab , a research group dedicated to developing and applying advanced computational methods for solving complex problems in science and engineering, particularly in biomedical domains.

• Computational Mechanics
• Finite Element Method
• Structural Analysis
• +۳ مورد دیگر

Alejandro Aguirre Ruz is a researcher affiliated with the Universitat Politècnica de Catalunya (UPC), specifically within the Departament d'Enginyeria Civil i Ambiental at the Escola Tècnica Superior d'Enginyeria de Camins, Canals i Ports de Barcelona (ETSECCPB) . His work focuses on advanced computational mechanics, particularly in finite element methods for structural analysis and fluid-structure interaction problems. He is part of the research groups ANiComp - Anàlisi Numèrica i Computació Científica and (MC)² - Mecànica de Medis Continus i Computacional . His research emphasizes stabilized finite element formulations for thin structures, including solid-shell elements, Reissner-Mindlin plates, and Timoshenko beams. Key contributions include variational multiscale methods and stress-displacement analyses in both infinitesimal and finite strain regimes. He has published in high-impact journals like Applied Mathematical Modelling and Finite Elements in Analysis and Design , with recent work extending to 2025 on fluid-structure interaction applications. Aguirre Ruz defended his doctoral thesis in 2023 titled Numerical approximation of thin structures using stabilized mixed formulations... , supervised by Professors Ramon Codina and Joan Baiges. He actively collaborates with researchers such as Inocencio Castañar and Zorrilla Martínez, contributing to projects like the Anàlisi Numèrica i Computació Científica initiative funded under the Supòrt a la Recerca program. His technical expertise bridges theoretical developments in numerical methods with practical engineering applications, addressing challenges in structural dynamics and multiphysics systems.