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.

• Financial Econometrics
• Statistics
• Empirical Asset Pricing
• +۵ مورد دیگر

Dacheng Xiu is the Joseph Sondheimer Professor of Econometrics and Statistics at the Booth School of Business , University of Chicago, and an Affiliated Faculty in the Department of Statistics. He serves as a Research Associate at the National Bureau of Economic Research and holds editorial roles at journals like Journal of Business & Economic Statistics and Journal of Financial Econometrics . PhD and MA in Applied Mathematics from Princeton University BS in Mathematics from University of Science and Technology of China His research focuses on statistical methodologies for financial data , including risk measurement , portfolio management , and empirical asset pricing using high-frequency data and machine learning . Recent work analyzes text data and large language models for economic forecasting. Editorial leadership includes Co-Editor and Associate Editor roles at top journals like Journal of Finance and Annals of Statistics . His lab ( Risk Lab ) specializes in systemic risk assessment through transaction-level data analysis. 2024 Dimensional Fund Advisors Prize 2023 GSU-RFS FinTech Conference Best Paper Award 2022 Society for Financial Econometrics Fellow 2018 Swiss Finance Institute Outstanding Paper Award

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 .

• Biosensors
• Tissue Engineering
• Muscular Dystrophies
• +۳ مورد دیگر

Juanma Fernandez Costa is a Researcher at the Institute for Bioengineering of Catalonia (IBEC), leading the Biosensors for Bioengineering research group. His work focuses on advancing bioengineering solutions for muscular dystrophies through innovative 3D in vitro models and tissue engineering platforms. Key contributions include developing xeno-free skeletal muscle tissues, functional Duchenne muscular dystrophy models, and organ-on-a-chip systems to study disease mechanisms and therapeutic interventions. Research interests span biosensor integration in tissue models, regenerative medicine applications, and translational research bridging bench and clinical settings. Notable projects include muscle-atrophy studies linked to non-alcoholic fatty liver disease, drug testing platforms for steroid myopathy, and miRNA-based therapies for myotonic dystrophy type 1. Collaborations involve multi-organ systems to explore metabolic interactions, such as muscle-exercise effects on insulin secretion. His lab pioneered plasmonic biosensors for real-time fibrosis monitoring and functional skeletal muscle models enabling preclinical drug evaluation. Current efforts emphasize scalable bioengineered tissues and systems integration for complex disease modeling.

• Mechanobiology
• Computational Mechanics
• Soft Matter Physics
• +۷ مورد دیگر

Marino Arroyo is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Research Center in Numerical Methods in Applied Science and Engineering (LaCàN). He is also associated with CIMNE and the Institute of Bioengineering of Catalunya (IBEC). His work focuses on computational and theoretical modeling of biological systems, particularly epithelial mechanics, active matter, and biomembranes. He holds the Icrea Academia Award, recognizing his contributions to mechanobiology and soft matter physics. Education: PhD in Mechanical Engineering, Northwestern University (2003) BS/MS in Civil Engineering, UPC Postdoc at Caltech with Michael Ortiz (2003-2004) Research Interests: Combines mathematical modeling, mechanics, and computations to study small-scale material behavior and biological systems. Current focus includes cell/tissue mechanobiology, active living materials, and bio-inspired materials. Key themes are nonlinear mechanics of 2D materials (graphene, biomembranes), continuum mechanics, and molecular-to-continuum modeling. Recent Article Trends: Focuses on multiscale epithelial mechanics, active gels, hydraulic fracture in biological systems, and mechanochemical feedback in cellular membranes. Recent work includes modeling curved epithelial shells, nematic patterns in cytoskeletal layers, and shape-programmable living surfaces. Scientific Awards: Icrea Academia Awardee Advising & Grants: Supervised over 20 PhD students, many of whom hold prestigious postdocs or academic positions. Collaborates with experimental groups (e.g., Xavier Trepat, Danijela Vignjevic). Current projects include NIH-funded studies on epithelial mechanics and ERC grants for computational modeling. Labs/Teams: Leads LaCàN's biomaterials group, integrating computational mechanics with experimental biology. Active in interdisciplinary collaborations across UPC, IBEC, and international institutions.

• 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.

Estefanía Peñaمشاهده پروفایل

استاد

• Computational Mechanics
• Biomechanics
• Numerical Modeling of Soft Biological Tissues
• +۴ مورد دیگر

Estefanía Peña is a Full Professor (Catedrática de Universidad) at the University of Zaragoza's School of Engineering and Architecture, Department of Mechanical Engineering. She leads research in computational biomechanics with a focus on vascular tissues and medical device interactions. Key roles include coordination of the Mechanical, Naval and Aerospace Engineering Subarea for Spain's Ministry of Science (2022–present) and Deputy Director of the Aragón Institute of Engineering Research (I3A, 2015–2019). Educational Background: Ph.D. Mechanical Engineering, University of Zaragoza (2004) M.Sc. Mechanical Engineering, University of Zaragoza (2000) Research Interests: Computational mechanics of soft biological tissues, multiscale modeling of inelastic effects, atherosclerosis progression, drug delivery systems, and experimental biomechanics. Her work bridges computational models with clinical applications, particularly in cardiovascular diseases and medical devices. Notable Achievements: Recipient of major awards including the Spanish ECCOMAS Best PhD Thesis Award (2005) and Young Research Medal from the Royal Society of Engineering (2015). Supervised over 25 PhD and M.Eng. students, focusing on atherosclerosis mechanics, drug-eluting stents, and fascia biomechanics. Grants & Collaborations: Active in EU and national projects, collaborating with institutions like TU Dortmund, Stanford University, and KTH Royal Institute of Technology. Research emphasizes translational medicine and computational modeling. Labs/Teams: Leads the Biomedical Engineering Division at I3A, part of CIBER-BBN (Spanish Biomedical Engineering Network). Her lab integrates experimental and numerical methods to study vascular mechanics and tissue engineering.

• 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.

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.