جست‌وجوی استاد و پژوهشگر

• Engineering Graphics
• 3D Modeling
• Historical Industrial Heritage
• +۶ مورد دیگر

Miguel Castro Garcia is a researcher at the University of Córdoba's Department of Graphic Expression in Engineering, specializing in 3D modeling, additive manufacturing, and historical industrial heritage documentation. His work bridges engineering graphics with advanced manufacturing techniques and biomedical/biotechnological applications. PhD in Graphic Expression Engineering (2013, University of Córdoba) Specialization in 3D modeling, CAD/CAE, and cultural asset documentation Active in energy storage technologies (SOFC, LiB) and biomedicine Research focuses include: Fractal/multifractal analysis of microstructures Embedded phase change material systems Genetic studies in viticulture Finite element analysis of biological systems Ceramic additive manufacturing techniques Cultural heritage reconstruction Recent publications (2021-2025) demonstrate interdisciplinary expertise spanning biomedical engineering, agricultural genetics, and advanced ceramic manufacturing. Key trends include: Integration of 3D printing in energy storage systems Computational modeling of thermal/fluid dynamics Application of machine learning to biological systems Preservation of industrial heritage through digital methods Material science innovations in ceramic processing Development of decentralized crisis management systems

• Mathematical Biology
• Computational Biology
• Stochastic Modeling
• +۱۲ مورد دیگر

Tomás Alarcón is an ICREA Research Professor at the Centre de Recerca Matemàtica (CRM) in Barcelona, Spain. He leads the Cancer Modeling Group and serves as Deputy Director of CRM since 2016. His work bridges mathematical biology, computational modeling, and biomedical applications. PhD in Theoretical Physics from the University of Barcelona (2000) Postdoctoral appointments at University of Oxford, University College London, and Imperial College London ICREA Research Professorship at CRM (2015–present) Research Interests: Dr. Alarcón specializes in multiscale modeling of tumor growth, stochastic processes in cell reprogramming, hybrid simulation methods , and microfluidic biophysics . His work integrates mathematical frameworks with biological complexity across spatial and temporal scales. Article Trends: Recent publications focus on chromatin folding , epigenetic landscapes , and angiogenesis mechanisms . Key themes include metabolic-cancer interactions , stochastic bistability , and computational immunology . Collaborations span institutions like the University of Oxford, UCL, and Heidelberg University. Scientific Leadership: As Deputy Director of CRM and member of the Catalan Mathematical Society's Scientific Committee, he has shaped mathematical biology research agendas. His advisory role extends to 15+ PhD/MSc students , now active across global institutions.

• Internal Geodynamics
• Earth Sciences
• Climate Change Impact on Hydrology
• +۳ مورد دیگر

Manuel Díaz Azpiroz is a Full Professor at the Physical, Chemical and Natural Systems Department of Universidad Pablo de Olavide. His research focuses on Internal Geodynamics, Tectonic Processes, and Climate Change Impacts on Hydrological Systems. He leads research projects related to the TIERRA Y ATMOSFERA (Earth and Atmosphere Sciences) group. PhD Advisor : Dr. Antonio Castro Dorado (Universidad de Huelva, 2001) Research Themes : Strain Partitioning in Orogenic Belts, Playa-Lake Hydrology, Transpression-Transtension Kinematics, Climate-Tectonic Interactions His work combines field studies, analog modeling, and numerical simulations to understand the evolution of tectonic systems in the Betics and other Variscan belts. Recent publications highlight his contributions to deciphering the interplay between neotectonics, climate variability, and anthropogenic impacts on lacustrine systems in southern Spain. Email: mdiaazp@upo.es

• Photosynthesis
• Biomolecular Photonics
• Plant Biology
• +۳ مورد دیگر

Prof. Nicoletta Liguori is a Group Leader and Professor at the Institute of Photonic Sciences (ICFO). Her research focuses on photon harvesting mechanisms in plants and biomolecules, particularly investigating light-harvesting complexes, photoprotection, and energy transfer processes. She holds a PhD in Science from Vrije Universiteit Amsterdam (NL). Her work integrates computational methods, biophysics, and molecular dynamics simulations to understand photosynthetic systems at the molecular level. Recent research explores structural and spectral properties of light-harvesting complexes such as LHCII, CP29, and cyanobacterial systems, with a focus on carotenoid interactions and environmental adaptation. Articles highlight advancements in understanding photoprotection mechanisms, pigment-binding selectivity, and quantum-classical computational modeling in photosynthesis. No scientific awards are explicitly mentioned in the provided data. Her research group’s work spans from fundamental molecular mechanisms to applied aspects like photocatalytic CO 2 reduction.

DAVID FERRO COSTASمشاهده پروفایل

استادیار

• Theoretical Chemistry
• Computational Chemistry
• Quantum Theory
• +۳ مورد دیگر

David Ferro Costas is an Assistant Professor at the Department of Physical Chemistry, Faculty of Chemistry, University of Seville. His research focuses on theoretical and computational chemistry, particularly Quantum Theory Atoms In Molecules (QTAIM) methodology and its integration with other computational methods. Education: PhD in Chemistry from University of Vigo (2015), thesis titled Exploring new applications for QTAIM and its complementarity with other methods , supervised by Dr. Ricardo Mosquera Castro. Research interests include advancing theoretical frameworks for chemical bonding analysis, developing computational tools for molecular systems, and applying QTAIM in interdisciplinary studies. Currently leads the QTEC research group focusing on theoretical/computational chemistry applications. No publications or awards listed in available data. Active in academic collaborations and methodological development in computational chemistry.

• Computational Mechanics
• Non-linear Finite Element Analysis
• Multiscale and Multiphysics Analysis
• +۷ مورد دیگر

Dr. Mª Ángeles Pérez Ansón is a Full Professor of Structural Mechanics at the Department of Mechanical Engineering , University of Zaragoza, Spain. She holds a PhD in Computational Mechanics (2004) and has held postdoctoral positions at Trinity College Dublin and École de Technologie Supérieure (Montreal). She is an Associate Director of the Aragón Institute of Engineering Research (I3A) and served as President of the European Society of Biomechanics (2018–2020). Her work focuses on computational biomechanics, bone mechanobiology, and tissue engineering. Education: PhD in Computational Mechanics (2004), University of Zaragoza Research Interests: Her research integrates computational mechanics with biological systems, including bone remodeling, prosthetic design, and osteoporosis prevention. She develops multiscale models to predict fracture risks and optimize treatment strategies. Key Projects: Led initiatives like OSTEO-PREV (osteoporosis fracture prevention) and Curabone (bone regeneration modeling), funded by the EU and Spanish Ministry of Science. Awards: Best Technical Thesis of 2004 (University of Zaragoza) Professional Roles: Coordinator of the Biomedical Engineering Master’s program (2014–2019), and former Deputy Director of the School of Engineering (2009–2010).

Carlos Borau Zamoraمشاهده پروفایل

دانشیار

• Biomechanics
• Computational Mechanics
• Tissue Engineering
• +۳ مورد دیگر

Carlos Borau Zamora is a Tenured Associate Professor at the University of Zaragoza, Spain, and a Post-doctoral researcher in biological and mechanical engineering. He holds an Industrial Engineering degree from the University of Zaragoza (2003-2008) and a PhD in Computational Mechanics (2013), for which he received the Best European Thesis in Biomechanics award from the European Society of Biomechanics. His research focuses on computational models, finite element simulations, and mechanobiology, particularly in tumor microenvironments, cell migration, and tissue engineering. He has contributed to projects such as ICoMICS (2022-2026), SCARS (2021-2023), and CELLBIOPRINT (2019-2020), addressing topics like wound healing, 3D bioprinting, and predictive analytics for cancer diagnosis. His expertise includes microfluidic-based analysis of cell behavior, multiscale modeling in neuroblastoma, and the mechanical properties of biological tissues. He has developed computational tools like the Im2mesh library for 3D mesh reconstruction from medical imaging. Awards include the 2020 Advanced ERC Grant and contributions to H2020-funded initiatives. His work bridges engineering and biology, with applications in regenerative medicine and personalized oncology.

• Computational Science
• Machine Learning
• Biomedical Informatics
• +۳ مورد دیگر

Fernando Barber Miralles is an Associate Professor at the Department of Computer Science and Artificial Intelligence, School of Engineering, University of Valencia. He conducts computational research in multiscale simulation and machine learning, affiliated with the COMMLAB research group and previously with the GREV Networks and Virtual Environments Group. PhD in inverse cardiac modeling from University of Valencia (2020) Research focuses on computational science, biomedical informatics, and machine learning Collaborates with Dr. Rafael Sebastián Aguilar and Dr. Ignacio García Fernández Published 2 journal articles since 2000 in mathematical and AI journals

• Fluid Mechanics
• Numerical Relativity
• Biomedical Engineering
• +۷ مورد دیگر

Dr. Carles Bona Casas is a Full Professor in the Department of Physics at the Universitat de les Illes Balears (UIB), specializing in Fluid Mechanics and Computational Physics. His academic career spans multiple institutions across Europe, with significant contributions to numerical simulation methods. His educational background includes a doctorate in Physics from UIB with an FPU scholarship, focused on numerical relativity, with a research stay at the Max-Planck Institute for Gravitational Physics. Following his doctorate, he pursued a Marie Curie contract at the University of Amsterdam's Computer Science Laboratory, shifting his focus to biomedical engineering simulations. He later served as a postdoctoral researcher with the Mathematical Methods and Representation Group at the School of Civil Engineering, University of A Coruña, before returning to UIB as faculty. Professor Bona Casas has developed expertise across multiple simulation domains, with current research interests centered on multiscale simulations, fluid-structure interactions, and biomedical simulations. His work incorporates aspects of magnetohydrodynamics including turbulence and solenoidal fields, with strong emphasis on numerical methods such as finite element simulation and adaptive refinement techniques. His research bridges physics, engineering, and medical applications through computational approaches. He is actively involved in teaching across multiple disciplines, instructing courses in Physics, Computer Engineering, Primary Education, and the Master's program in Advanced Physics and Applied Mathematics. His teaching portfolio includes Physical Foundations of Computers, Analytical Mechanics, Finite Element Simulation, and various physics courses across different degree programs. Member of IAC3 research institute Member of IDISBA research institute Member of Advanced Computational Physics research group Member of Gravitación, Astrofísica Relativista y Computación (GRAC) research group Professor Bona Casas has participated in numerous European and national research projects throughout his career. His research trajectory shows a progression from numerical relativity to biomedical applications while maintaining strong foundations in computational physics. His current work focuses on applying sophisticated simulation techniques to solve complex problems at the intersection of physics, engineering, and medical science. He maintains an active research program with connections to multiple research institutions across Europe.

• Physical Chemistry
• Thermodynamics
• Chemical Physics
• +۳ مورد دیگر

Dr. MARIA DEL PILAR BROCOS FERNANDEZ is a Professor at the Department of Applied Physics, Faculty of Physics, University of Santiago de Compostela. Her research focuses on thermophysical properties of liquid mixtures, surface chemistry, and the thermodynamics of surfactant systems. She holds a Doctorate from the University of Santiago de Compostela (2005), with a thesis on 'Refractive index, free volume and molar refraction. Concepts and correlations. Thermodynamic analysis of cyclic ether + ketone mixtures.' Research Interests: Her work spans physical chemistry, thermodynamics of liquid mixtures, and molecular dynamics simulations. Key areas include micellization thermodynamics, surfactant behavior, host-guest complexes (e.g., cyclodextrins), and the thermodynamic characterization of inclusion complexes. She explores surface tension analysis, aggregation numbers, and molecular interactions in systems like tetrahydrofuran, cyclic ethers, and alkanes. Publications Overview: Over 30 peer-reviewed articles since 1998, covering topics such as micelle formation, surface tension modeling, and calorimetric studies. Recent work includes advancements in thermoacoustimetry for micellization analysis and molecular dynamics simulations of surfactant systems. Her research bridges experimental and computational methods to understand complex fluid behavior. Awards and Grants: No specific awards listed, but her extensive publication record indicates sustained research excellence in thermodynamics and surface chemistry. Active in international collaborations, evidenced by co-authored papers and conference presentations. Labs/Teams: Leads research on thermophysical properties and surface phenomena within the PTSL group (Thermophysical and Surface Properties of Liquids) at the University of Santiago de Compostela.

Antoni Ivorraمشاهده پروفایل

استاد

• Bioelectrical Phenomena
• Biomedical Engineering
• Electroporation
• +۶ مورد دیگر

Antoni Ivorra is a Professor at the Department of Information and Communication Technologies (DTIC) of Universitat Pompeu Fabra (UPF) , and a Serra Húnter Fellow and ICREA Acadèmia Fellow . He joined UPF in 2010 after completing a postdoctoral fellowship at the University of California, Berkeley (2005-2009), a short-term position at CNRS-Institut Gustave Roussy (2009), and prior work at the Biomedical Applications Group of the Centre Nacional de Microelectrònica (1998-2005). He earned a PhD in Electronics Engineering from the Universitat Politècnica de Catalunya in 2005. His research focuses on bioelectrical phenomena for biomedical applications , including electroporation , electrical bioimpedance , and injectable electronics for neuroprosthetics. His work spans device development, computational modeling, and clinical translation, with emphasis on tissue ablation and wireless implantable systems. His recent publications highlight advancements in pulsed field ablation , volume conduction for powering implants, and multiscale modeling of electroporation effects. These contributions reflect interdisciplinary expertise in biomedical engineering , electrophysiology , and medical device innovation . Scientific Awards : ERC Consolidator Grant (2016) Serra Húnter Fellow ICREA Acadèmia Fellow

• Applied Mathematics
• Numerical Analysis
• Mathematical Modeling
• +۵ مورد دیگر

Francisco Guerrero Cortina is a permanent academic faculty member at the University of Valencia, affiliated with the Faculty of Mathematics, Department of Mathematics, and the Applied Mathematics area. He is a member of the ANIMS research group, focusing on Numerical Analysis, Images, Multiresolution, and Simulation. His primary research interests include Applied Mathematics , Numerical Analysis , Mathematical Modeling , and Epidemiology , with applications in fluid mechanics, public health, and social behavior dynamics. His work often involves high-order numerical schemes, nonstandard finite differences, and analytical approximation methods such as HAM and Padé. The recent publications indicate a strong trend in developing and applying advanced numerical methods to real-world problems, particularly in fluid dynamics and epidemiological modeling . His research bridges theoretical mathematics with practical applications in engineering and social sciences. He has collaborated extensively with researchers such as Pep Mulet, Rosa Donat, and F.J. Santonja, particularly on models for substance use in Spain. No scientific awards or student advisement details are publicly listed. He holds a PhD from the University of Valencia (1999), supervised by Dr. Antonio Pich, and continues to publish actively, with recent work appearing in 2025. His email is francisco.guerrero-cortina@uv.es, confirming current institutional engagement.

• Biomechanics
• Computational Modeling
• Cellular Mechanotransduction
• +۳ مورد دیگر

Pablo Saez is an Associate Professor of Applied Mathematics at Universitat Politècnica de Catalunya (UPC) and a faculty member at the Institute of Mathematics of UPC-BarcelonaTech (IMTech). His research focuses on integrating physical modeling and computational methods to study the mechanical, chemical, and electrical behavior of biological systems at cellular, tissue, and organ levels. He explores how mechanical signals influence cell behavior and tissue dynamics, particularly in contexts like wound healing, vascular mechanics, and brain tissue properties. Key research themes include cell migration mechanisms (e.g., durotaxis, electrotaxis), mechanotransduction via extracellular matrices, and computational modeling of biological tissues' microstructural adaptations. His work bridges multiscale phenomena from molecular interactions to organ-level mechanics. Recent publications emphasize competing signaling pathways in cell migration, brain tissue mechanics, and adhesion complex dynamics. While no scientific awards are explicitly mentioned, his prolific output demonstrates sustained contributions to biomechanics and computational biology. He leads a lab that develops novel models for understanding mechanobiological processes and their applications in health and disease.

Montserrat Galceran Mestresمشاهده پروفایل

پژوهشگر

• Electrochemical Energy Storage
• Materials Science
• Nanomaterials
• +۱۱ مورد دیگر

Dr. Montserrat Galceran Mestres is a Senior Researcher in Electrochemical Energy Storage at CIC energiGUNE, specializing in advanced electrode materials for sodium-ion batteries. She holds a PhD in Materials Science from Universitat Rovira i Virgili (URV), where her work on nanomaterials earned the URV's Extraordinary PhD Award . Education : MSc in Materials Science and Engineering; PhD in Chemistry (URV, Spain) International Experience : Research stays at Polish Academy of Sciences, Institute of Materials Science (Madrid), and Université Libre de Bruxelles (Belgium) Her research focuses on low-cost, environmentally friendly electrode materials for next-generation intercalation systems, combining multi-technique characterization (X-ray diffraction, electron microscopy) with material development. She leads CIC energiGUNE's Na-ion battery research line since 2016, emphasizing industrial knowledge transfer and multidisciplinary collaboration. Scientific awards include AGAUR PhD mobility fellowship , José Castillejo and Ayudas Formación Post-doctoral grants from Spain's Ministry of Economy. She actively evaluates national and EU research projects and serves as a member of RSEQ's GE3C and QES groups . Her recent publications address polyanionic compounds , ionogel electrolytes , and SEI-free anodes , while her 2013 work on Automated Crystallographic Orientation Mapping in TEM remains influential. Conference contributions span plenary talks at ENSTIN 2019 to posters at ICNaB-2018 and 65th ISE Annual Meeting.

Oier Arcelus Elcorobarrutiaمشاهده پروفایل

پژوهشگر

• Battery Materials
• Computational Chemistry
• Electrochemistry
• +۵ مورد دیگر

Dr. Oier Arcelus Elcorobarrutia is a dedicated researcher specializing in computational materials science for electrochemical energy storage. Currently, he holds a postdoctoral position at the Institut de Ciència de Materials de Barcelona (ICMAB), part of the Spanish National Research Council (CSIC), within the solid state chemistry group led by Prof. M. Rosa Palacin. Additionally, he serves as an invited researcher at CIC energiGUNE, contributing to the Atomistic Modelling and Computational Studies group. His prior experience includes a postdoctoral stint at the Laboratoire de Réactivité et Chimie des Solides (LRCS) in Amiens, France, under Prof. Alejandro A. Franco. Dr. Arcelus completed his entire academic formation at the University of the Basque Country (UPV/EHU): 2014: Grade in Physics 2015: Master's in Nanoscience 2019: PhD in Physics, with a thesis titled "Using Density Functional Theory (DFT) to analyze the electrochemical and magnetic behavior of sodium based battery materials", supervised by Dr. Javier Carrasco from CIC Energigune. Dr. Arcelus's research is centered on advancing computational methodologies to tackle critical challenges in next-generation battery technologies. His key interests include: developing open-source software tools for scientific data analysis (particularly for XRD patterns in the BIG-MAP initiative); multiscale modeling of battery electrodes, ranging from quantum-chemical simulations (DFT) of material properties to mesoscale modeling of electrode structures and transport phenomena; and investigating fundamental mechanisms in sodium-ion, lithium-sulfur, and metal-air batteries. His work integrates computational chemistry, materials science, and electrochemistry to design and optimize energy storage materials and systems, with a strong emphasis on translating theoretical insights into practical battery engineering solutions. A review of Dr. Arcelus's publications from 2019-2022 highlights a consistent focus on computational studies of battery materials, particularly for sodium-ion and lithium-sulfur systems. His work spans multiple scales: atomic-level DFT calculations to understand phase transformations and electronic structures; mesoscale modeling of electrode architectures and ion transport; and development of simulation tools for manufacturing processes. Key themes include the role of material asymmetry in electrolyte performance, stability of superoxide intermediates in metal-air batteries, and the design of novel electrode materials. His research demonstrates a strong trend towards open science and collaborative tool development. Dr. Arcelus is a key contributor to the BIG-MAP (Battery Interface Genome: Marie Curie Initial Training Network) initiative, a major European project focused on accelerating battery development through data-driven approaches. At ICMAB-CSIC, he works within the Solid State Chemistry group, while at CIC energiGUNE he collaborates with the Atomistic Modelling and Computational Studies group. His current projects involve building open software for XRD data analysis in partnership with leading facilities including the Institute Laue-Langevin (ILL) and ALBA synchrotron, fostering a collaborative environment across multiple European research institutions. No information on student advising or research grants was provided in the source material.