جست‌وجوی استاد و پژوهشگر

• Models of Learning
• Asset Prices
• Recursive Contracts
• +۳ مورد دیگر

Albert Marcet is an ICREA Research Professor and Senior Researcher at the Center for Monetary and Financial Studies (CREI), Universitat Pompeu Fabra. He holds a PhD from the University of Minnesota. His research focuses on models of learning, asset pricing, recursive contracts, optimal fiscal policy, and Bayesian VAR analysis. He has collaborated extensively with leading economists like Thomas J. Sargent. Education: PhD in Economics, University of Minnesota. Research Interests: Combines theoretical macroeconomics with computational methods to study policy design, learning mechanisms in economic systems, and the implications of bounded rationality. His work bridges formal mathematical modeling with empirical applications in fiscal and monetary policy analysis. Key Contributions: Pioneered methodologies for solving dynamic economic models with expectations, as seen in his foundational work on least squares learning and taxation frameworks. His research on hyperinflation dynamics and optimal policy under uncertainty has influenced macroeconomic theory and policy design. Affiliations: CREI, ICREA, and Universitat Pompeu Fabra. Collaborates with institutions like the Federal Reserve and European Central Bank.

• Biomedical Engineering
• Cardiovascular Research
• Medical Imaging
• +۴ مورد دیگر

Dr. José Javier Molins Vara is a Full Professor at the Chemical Engineering and Materials Science Department of the IQS School of Engineering. He leads the Grup d'Enginyeria Vascular i Biomedicina Aplicada (GEVAB) and has extensive research experience in cardiovascular biomechanics, medical imaging, and material science. His work focuses on understanding hemodynamics in cardiovascular diseases, particularly Marfan syndrome and aortic pathologies, using advanced simulation techniques and 4D-MRI integration. Research areas include arterial flow dynamics, biomaterials for stents, and fluid-structure interaction modeling. Key projects involve designing pediatric stents, improving STEM education through remote labs, and advancing cardiovascular diagnostic tools. He has collaborated on 13 projects funded by institutions like the Agencia Estatal de Investigación and Aristos Campus Mundus. His research interests span from computational modeling of cardiovascular systems to translational applications in clinical care. Over 18 publications highlight his contributions, including seminal work on aortic hemodynamics and biomarker expression in arterial bifurcations.

• Distributed Computing
• Cloud Computing
• Edge Computing
• +۴ مورد دیگر

Rafael Moreno Vozmediano is an Associate Professor at the Department of Computer Architecture and Automation, Faculty of Informatics, Complutense University of Madrid. His research focuses on distributed systems, cloud computing, and edge computing, with a particular emphasis on federated cloud networking, resource management, and high-performance computing. He has led or contributed to numerous EU-funded projects, including BEACON, PANACEA, and RESERVOIR, which address challenges in cloud federation, autonomic resource management, and virtualization technologies. He is a co-founder of the OpenNebula cloud management platform, widely adopted in industry and research. He has collaborated with organizations like EADS, Oracle, Microsoft, and NASA, emphasizing applied research and industry transfer. His academic contributions span over 50 publications, with recent work addressing edge-cloud architectures, serverless computing for Mars mission data analysis, and latency-optimized distributed systems. Awards and recognitions include leadership roles in the Globus Alliance, Open Grid Forum, and NESSI Initiative, where he contributed to defining future ITC infrastructure standards. His teaching spans computer architecture and distributed systems at the undergraduate and graduate levels. Current research activities include data-centric cloud architectures, edge analytics for IoT, and federated cloud networking. He actively participates in grants such as EDGEDATA and IN-TIME, focusing on decentralized edge-cloud infrastructures and Mars-Earth dating applications.

• Physical Chemistry
• Computational Chemistry
• Theoretical Chemistry
• +۷ مورد دیگر

Sergei F. Vyboishchikov is an Associate Professor at the University of Girona (Spain), affiliated with the Institute of Computational Chemistry and Catalysis and the Department of Chemistry. His research focuses on computational and theoretical chemistry, particularly in solvation energy methods, quantum chemical calculations, and applications of artificial neural networks in chemistry. **Education**: Ph.D. in Theoretical Chemistry, Philipps-Universität Marburg, Germany (1996) M.Sc. (Diploma) in Chemistry, Lomonosov University, Moscow, Russia (1992) **Research Interests**: His work emphasizes solvation energy methodologies (e.g., ESE-GB-DNN, AtomicESE), development of neural network-based models for solvation predictions, density functional theory (DFT) applications, and molecular modeling of transition metal compounds. He also investigates energy decomposition schemes and atomic charge partitioning. **Publications**: His recent work highlights advancements in solvation energy calculations using deep learning frameworks and contributions to understanding molecular interactions in solvents. **Advising**: Supervised two Ph.D. students: Dr. Samat Tussupbayev and Dr. Eugene Gorbatenko. **Software Contributions**: Developed open-source programs like ESE-GB-DNN, AtomicESE, and uESE for solvation energy estimation, available on GitHub.

Alex Galvez Polمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Interoception
• Embodiment
• +۳ مورد دیگر

Alex Galvez Pol is an Associate Professor at the Psychology Department of the University of the Balearic Islands (Spain), leading the Active Cognition, Embodiment & Environment Lab (ACE²Lab). His research focuses on the dynamic interactions between active sensing mechanisms and interoception, investigating how bodily states influence environmental perception through electrophysiological methods. Current affiliations: University of the Balearic Islands (UIB) Lab: ACE²Lab (Active Cognition, Embodiment & Environment Lab) Research hubs: Collaborates with University College London and Max Planck Institute Research interests center around: Active sensing through bodily movements (eye/limb tracking) Interoception-environment interaction dynamics Neural mechanisms of embodied cognition Ecological validity in neuroscience research Article trends reveal: Strong focus on cardiac cycle modulating perception Interoception as fundamental to sensory processing Embodied cognition across clinical (autism) and educational contexts Neuroaesthetics and multisensory integration in social processes Lab structure: 7 behavioral testing rooms 1 electrophysiological suite (EEG, ECG, respiration) 1 eye-tracking room 2 wearable physiology systems Mobile research van for field experiments

Carla Casadevallمشاهده پروفایل

پژوهشگر

• Artificial Photosynthesis
• Photoredox Catalysis
• Polymeric Microreactors
• +۵ مورد دیگر

Dr. Carla Casadevall is a Ramón y Cajal Fellow and Junior Group Leader at Universitat Rovira i Virgili (URV) and the Institute of Chemical Research of Catalonia (ICIQ). Her research focuses on developing catalyst-functionalized polymeric microreactors for solar fuels and chemicals within artificial photosynthesis and photoredox catalysis. She holds a BSc and MSc from the University of Girona, a PhD from ICIQ, and postdoctoral experience at the University of Cambridge. She has authored 30+ publications in top journals, secured patents, and leads projects like PHOTOSCALE and Ramón y Cajal. Awards include the 2023 RSEQ and SCQ prizes. Education: BSc (2013), MSc (2014) - University of Girona; PhD (2015-2019) - ICIQ Postdoctoral Experience: University of Cambridge (2019-2022) Research Interests: Combining nanomaterials and catalytic systems to advance sustainable energy solutions. Her work bridges artificial photosynthesis, photocatalytic mechanisms, and biohybrid systems for energy conversion. Key areas include polymeric microreactors, CO₂ reduction, and molecular memory materials. Awards & Grants: PI of Ramón y Cajal (RYC2021-030935-I) and PHOTOSCALE (FEDER AGAUR 2021 PROD 00043). Recognized with 2023 RSEQ and SCQ prizes. Labs/Teams: Coordinates the Casadevall Lab, focusing on interdisciplinary approaches to sustainable chemistry at URV and ICIQ.

• Kidney Organoid Development
• Pluripotent Stem Cell Research
• Bioengineering
• +۳ مورد دیگر

Elena Garreta Bahima is a prominent researcher affiliated with the Pluripotency for Organ Regeneration group at the Institut de Bioenginyeria de Catalunya (IBEC) . Her work focuses on advancing bioengineering approaches to generate kidney organoids from human pluripotent stem cells, with particular emphasis on kidney regeneration, disease modeling, and translational medicine. She leads interdisciplinary projects integrating stem cell biology, material science, and virology to address challenges in organoid maturation and disease mechanisms. Her research interests include the development of bioengineered kidney organoids to study renal development and pathologies such as diabetic nephropathy, as well as the application of CRISPR technologies for genetic editing in organoid systems. She has pioneered studies on SARS-CoV-2 infection mechanisms using kidney organoids, revealing insights into ACE2 regulation and viral susceptibility in diabetic conditions. Key contributions include optimizing extracellular environments for organoid maturation, leveraging natural hydrogels for vascularization, and advancing mechanobiology approaches to study nephron morphogenesis. Her work bridges fundamental science and clinical applications, with a vision to translate organoid models into therapies for kidney diseases. Collaborations extend to institutions like the University of Barcelona, Hospital Clínic de Barcelona, and international groups, emphasizing multi-organoid systems and bioengineering innovation. Her research has been featured in high-impact journals such as Cell Metabolism , Nature Materials , and Advanced Materials .

MARIA MARTINEZ IBAÑEZمشاهده پروفایل

پژوهشگر

• Electrochemical Energy Storage
• Polymer Electrolytes
• All-Solid-State Lithium Batteries
• +۳ مورد دیگر

Maria Martinez-Ibañez is a Researcher at CIC energiGUNE, specializing in Electrochemical Energy Storage . Since 2017, she has focused on developing polymer electrolytes for all-solid-state lithium batteries, with collaborations at Deakin University (Australia) and the New Jersey Center for Biomaterials (USA). Her work includes competitive industrial projects and international conference presentations, such as at H2020 RT21 and Amapola Workshop-ICTP-CSIC.

• Nanobioengineering
• Targeted Therapeutics and Nanodevices
• Biomedical Signal Processing
• +۲ مورد دیگر

Shuqin Chen is a researcher at the Institute for Bioengineering of Catalonia (IBEC), specializing in the Smart Nano-Bio-Devices group. Her work focuses on self-propelled nanomotors and micromotors for biomedical applications, including drug delivery systems, biosensing, and cancer targeting. Affiliation: Institute for Bioengineering of Catalonia (IBEC) Department: Smart Nano-Bio-Devices Current research explores: Swarming intelligence in nanomotors Enzymatic propulsion mechanisms Theranostic integration of nanodevices Biodegradable hydrogel electronics Recent publications highlight collective dynamics of nanomotors in chemical gradients and biomedical applications of self-propelled systems. Research trends indicate strong focus on nanotechnology for diagnostics, environmental remediation, and targeted therapies. Key collaborative networks include partnerships with clinical institutions and industrial stakeholders to advance translational bioengineering projects.

• Systems Engineering
• Robotics
• Neural Networks
• +۴ مورد دیگر

José Demetrio Piñeiro Vera is an Associate Professor at the Universidad de La Laguna, affiliated with the Department of Computer Science and Systems Engineering. His research interests span systems engineering, robotics, neural networks, medical diagnosis, bifurcation analysis, and automation. He leads the GRULL robotics research group and has contributed extensively to interdisciplinary fields combining AI, engineering, and healthcare. He holds a PhD from the Universidad de La Laguna (1997), focusing on knowledge-based systems for diagnosing brain pathologies from EEG signals. His academic career includes over three decades of teaching and research, with a focus on real-world applications of neural networks, control systems, and robotics. His research emphasizes neural network dynamics, including bifurcation analysis in recurrent networks, automated medical diagnosis systems, and robotics navigation. Notable contributions include ontology-based indoor navigation systems, probabilistic collision detection algorithms, and tools like the Evenet2000 neural network toolkit. His work bridges theoretical computer science with practical applications in healthcare and autonomous systems. Collaborations span topics from hospital management simulations to multimedia technologies for developmental dyslexia treatment. His expertise integrates simulation, knowledge-based systems, and hardware experiments in education and research laboratories.

• Nonlinear Dynamics
• Fluid Mechanics
• Chemical Physics
• +۵ مورد دیگر

Vicente Perez Muñuzuri is a Professor at the University of Santiago de Compostela, affiliated with the Department of Particle Physics (Faculty of Physics) and the Center for Interdisciplinary Research in Environmental Technologies (CRETUS). He holds a Ph.D. from the same university (1992) with a thesis on reaction-diffusion systems and spiral wave dynamics. His research focuses on nonlinear physics, fluid dynamics, and interdisciplinary environmental studies, including wave energy assessment, oceanographic modeling, and computational fluid dynamics applications in medicine. Key research areas include: (1) HF radar-based wave energy resource analysis in NW Spain, (2) nonlinear fluid dynamics and viscous fingering in Hele-Shaw flows, and (3) Lagrangian transport models for marine debris and microplastics. His work bridges physics, engineering, and environmental science, addressing challenges in renewable energy, pollution tracking, and climate-related phenomena such as extreme precipitation patterns. Recent contributions include optimizing coronary artery segmentation via machine learning and modeling magnetic stimulation effects in clinical MRI. His studies often integrate numerical simulations and experimental validations, as seen in his exploration of spiral wave dynamics in chemical systems like the Belousov-Zhabotinsky reaction. Notable projects include the study of the South Indian Ocean Countercurrent’s role in Madagascar plankton blooms and the development of atmospheric transport models for pollutant dispersion forecasting. His interdisciplinary approach reflects collaboration across physics, marine science, and biomedical engineering domains.

Mª Albina Puente Del Campoمشاهده پروفایل

مدرس ارشد

• Game Theory
• Cooperative Games
• Simple Games
• +۳ مورد دیگر

Mª Albina Puente Del Campo is a Senior Lecturer at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Applied Mathematics III. She is a core member of the ALBCOM research group (Algorithms, Bioinformatics, Complexity, and Formal Methods) and the GRTJ sub-group (Game Theory Research Group). Her expertise spans Game Theory, particularly in cooperative games, simple games, and bicooperative systems. She holds a Licenciatura in Mathematical Sciences and a Doctorate in Mathematics. Her research focuses on probabilistic values, axiomatic characterizations, and solution concepts in cooperative game theory. Recent work includes studies on bisemivalues, potential functions, and applications to political and social networks. She has contributed to over 130 publications, including articles in Discrete Applied Mathematics , Annals of Operations Research , and Optimization . Dr. Puente collaborates on projects funded by national and regional grants, exploring topics like voting systems, coalition structures, and algorithmic game theory. Her work bridges theoretical foundations with practical applications in policy analysis and network cooperation.

Xiaoge Zhouمشاهده پروفایل

استاد مهمان

• Tourism Growth
• Tourism Business Management
• Tourism Planning
• +۳ مورد دیگر

Xiaoge Zhou is a Visiting Professor affiliated with the Tourism Management Department at the Business School of Shandong University at Weihai. He also maintains an academic presence at the Universidad de Las Palmas de Gran Canaria, Spain, as indicated by his office location (D4.20) at Edificio de Economía, Empresa y Turismo. His research focuses on understanding tourism growth dynamics, optimizing tourism business management practices, and developing effective tourism planning strategies. His work bridges theoretical frameworks with practical applications in the hospitality and service industries, contributing to sustainable tourism development models. No specific grants, advising records, or lab affiliations were explicitly mentioned in available texts. His professional activities include teaching and consulting roles related to tourism economics and business management.

Marcos Alejandro Colebrook Santamaríaمشاهده پروفایل

دانشیار

• Bioinformatics/Computational Genomics
• Big Data/Data Science
• Analytics
• +۳ مورد دیگر

Marcos Alejandro Colebrook Santamaría is an Associate Professor at the Department of Computer Science and Systems Engineering, Universidad de La Laguna. He has served as Deputy Director of the School of Computer Science and has been active since 2008. His research focuses on Bioinformatics/Computational Genomics, Big Data/Data Science, and Analytics. He holds a Ph.D. (2003) and Master's (1993) in Computer Science and has supervised over 20 Final-Year Dissertations. Education: Ph.D. in Statistics, Operations Research & Computing (2003), Universidad de La Laguna Master in Computer Science (1993), University of Las Palmas de Gran Canaria University Expert Degree in Software Engineering (2007), Universidad de La Laguna His research interests span facility location optimization, inventory management algorithms, and multi-objective decision-making. Notable contributions include polynomial algorithms for cent-dian location problems and biobjective Dijkstra algorithms. Awards: European Doctorate Mention (2003). Advising/Grants: Supervised/co-supervised over 20 theses and participated in 19 research projects. Active in TARO (Software Engineering) and INO (Operations Research) groups. Labs/Teams: Member of TARO and INO research groups, contributing to Bioinformatics and Data Science initiatives.

• Artificial Intelligence
• Machine Learning
• E-Learning Systems
• +۵ مورد دیگر

Dagoberto Castellanos Nieves is an Associate Professor at the University of La Laguna's Department of Computer Science and Systems Engineering. He is affiliated with the Programa Oficial de Doctorado en Ingeniería Industrial, Informática y Medioambiental and actively contributes to research groups GCI Computación Inteligente y Ciencia de Datos and GCAP Grupo de Computación de Altas Prestaciones . His work focuses on semantic web technologies, AI-driven education systems, energy-efficient machine learning, and high-performance computing. He holds a PhD from the University of Murcia (2007), with a thesis on semantic web-based evaluation systems in e-learning environments. Education: PhD in Computer Science from Universidad de Murcia (2007) Research interests span human-centered AI, automated machine learning for sustainability, generative adversarial networks in educational tech, and the socio-technical impact of digital platforms. Recent studies address migrant integration via AI, pandemic-era academic performance analysis, and green computing strategies for energy efficiency. He has pioneered semantic platforms like OntoEnrich and OeLE for knowledge management and assessment systems. Publications reflect a strong focus on applying AI to education, sustainability, and data-driven decision-making. Notable contributions include frameworks for RAG systems with LLMs, energy-optimized ML algorithms, and comparative analyses of virtual campus usage during the pandemic. Collaborative projects include MOOC development on AI in education and interdisciplinary work on open innovation platforms in financial sectors. No scientific awards are explicitly mentioned, but his prolific research output and institutional contributions highlight sustained academic excellence. Advising activities include thesis supervision in semantic web domains. He collaborates across departments through cross-disciplinary research teams focused on computational linguistics and knowledge engineering. Labs/Teams: Active membership in intelligent computing and high-performance computing research groups at ULL, with ongoing projects in AI ethics, sustainable ML, and digital transformation of educational systems.