جستجوی استاد راهنمای دانشگاهی

• Organometallic Chemistry
• Molecular Metal Nitrides
• Molecular Metal Oxides
• +۵ مورد دیگر

Miguel Mena Montoro is a Full Professor in the Department of Organic Chemistry and Inorganic Chemistry at the University of Alcalá. With a research career spanning over three decades, he leads the Metalocubanos - Metallocubanes research group, focusing on molecular metal nitrides, oxides, and sulfides. His work bridges fundamental inorganic chemistry with potential applications in catalytic nitrogen fixation. Professor Mena Montoro's research centers on molecular metal clusters, particularly titanium-based systems for dinitrogen activation and conversion to ammonia under ambient conditions. His work explores low-valent transition metal complexes, multinuclear structures, and the reactivity of bridging ligands in polynuclear systems. The research has evolved from fundamental studies of molecular nitrides to more applied work on developing alternatives to the energy-intensive Haber-Bosch process. His recent publications (2022-2018) demonstrate consistent high-impact output in journals such as Angewandte Chemie, Inorganic Chemistry, and Chemistry - A European Journal. The work shows a clear progression toward understanding and optimizing dinitrogen binding and conversion using titanium-based molecular systems. Key themes include the stabilization of low-valent species, small molecule activation, and the structural characterization of novel multinuclear complexes. Professor Mena Montoro has secured consistent research funding through multiple projects with Universidad de Alcalá and Spanish government agencies. His projects typically range from €3,000 to over €135,000, with recent work focusing on titanium complexes for nitrogen activation. The collaborative nature of his research is evident in the extensive co-authorship networks across Spanish institutions. The Metalocubanos - Metallocubanes research group provides students with hands-on experience in advanced synthetic inorganic chemistry, spectroscopic characterization, and structural analysis. The group actively participates in national and international scientific conferences, contributing to the broader field of molecular catalysis and small molecule activation.

• Activation of Small Molecules
• Organometallic Chemistry
• Molecular Inorganic Synthesis
• +۳ مورد دیگر

Dr. Cristina Santamaría Angulo serves as Full Professor in the Department of Organic Chemistry and Inorganic Chemistry at University of Alcalá, where she coordinates the Metalocubanos - Metallocubanes research group. Based in the Pharmacy Building, she teaches General Chemistry and Inorganic Chemistry for Pharmacy programs and advanced catalysis courses for the Chemistry for Sustainability and Energy Master's program. Her research centers on molecular activation of small molecules using multinuclear transition metal complexes, with particular focus on: Dinitrogen functionalization as sustainable alternative to Haber-Bosch process Synthesis and reactivity of metal sulfide/oxide/nitride clusters (Ti, Ta, Nb) Development of regioselective catalysts for alkyne cyclotrimerization CO 2 /epoxide copolymerization under ambient conditions Mechanistic studies of intermetallic cooperation in bond activation Current research is supported by multiple grants including University of Alcalá and Comunidad de Madrid funding (2022-2023), enabling acquisition of critical infrastructure such as glove boxes and advanced spectrometers. Her group maintains strong collaborative ties within the university's chemistry department, particularly with Professors Mena Montoro and Martín Alonso. The Metalocubanos group provides comprehensive training in synthetic inorganic chemistry, structural characterization, and catalytic testing, preparing students for careers in sustainable chemistry research through hands-on experience with state-of-the-art equipment and participation in international conferences.

Eduardo Fernández Carriónمشاهده پروفایل

استاد

• Probability and Statistics
• Computational Geometry
• Partial Differential Equations
• +۵ مورد دیگر

Eduardo Fernández Carrión serves as Professor of Probability and Statistics, Computational Geometry, and Partial Differential Equations at U-Tad University of Technology and Design, while concurrently holding the position of Head of Data Science at Stratio BD. His academic credentials include a Computer Science and Mathematics Engineering degree and a PhD in Statistical-Mathematical Methods for Computational Information Processing, with formal recognition as an Accredited Contracted Doctor. His research spans mathematical, numerical, and statistical modeling with strong applications in artificial intelligence and simulation methodologies. His expertise manifests in interdisciplinary work bridging theoretical mathematics with industrial data science applications, particularly evident through his leadership role at Stratio BD where he implements advanced computational models. The integration of probability theory, geometric computation, and differential equations forms the core of his methodological approach to complex system simulation.

• Remote Sensing
• Geospatial Analysis
• Photogrammetry
• +۷ مورد دیگر

Dr. Manuel Ángel Aguilar Torres is a Professor in the Department of Engineering at the University of Almería, Spain, where he leads the research group 'Integrated Territory Management and Spatial Information Technologies.' With an h-index of 29 (Scopus) and 26 (Web of Science), he has established himself as a leading researcher in remote sensing applications for agricultural and forest monitoring. His research primarily focuses on plastic greenhouse mapping using satellite imagery , LiDAR technology for forest inventory , and precision agriculture applications . He specializes in object-based image analysis, spectral indices development, and the integration of multi-source geospatial data for environmental monitoring, with particular emphasis on Mediterranean ecosystems. His work has resulted in 98 journal articles, 16 book chapters, and numerous conference presentations. Dr. Aguilar Torres has served as Principal Investigator for multiple research projects, including 'Mapeado de invernaderos e identificación de cultivos hortícolas protegidos mediante análisis de imagen basada en objetos y series temporales de imágenes de satélite' (RTI2018-095403-B-I00) and 'Identificación basada en objetos de cultivos hortícolas bajo invernadero a partir de estéreo imágenes del satélite Worldview-3 y series temporales de Landsat 8' (AGL2014-56017-R). His recent publications (2022-2025) demonstrate continued productivity in remote sensing methodology development, particularly in greenhouse mapping, forest inventory using UAV and LiDAR technologies, and spectral analysis. Notable scientific contributions include: Development of novel methods for plastic greenhouse detection using multi-temporal satellite imagery Benchmarking studies of spectral indices for agricultural monitoring Advanced techniques for individual tree segmentation in Mediterranean forests Integration of UAV and terrestrial LiDAR data for forest inventory As a supervisor, Dr. Aguilar Torres has guided numerous PhD students through the completion of their theses, with former students including Rafael Jiménez Lao, Abderrahim Nemmaoui, and María del Mar Saldaña Díaz. His research group maintains active collaborations with international institutions, providing students with opportunities for cross-border research experiences. The laboratory facilities support advanced geospatial analysis, with capabilities for processing satellite imagery from platforms like Sentinel-2, WorldView-3, and Deimos-2, as well as UAV and LiDAR data processing for environmental monitoring applications.

• Bayesian Networks
• Probabilistic Graphical Models
• Machine Learning
• +۵ مورد دیگر

Antonio Salmerón Cerdán is a Professor in the Mathematics Department at the University of Almería, where he has established himself as a leading researcher in probabilistic artificial intelligence and Bayesian networks. With over 25 years of academic experience, he leads the 'Análisis de datos' research group and serves as Principal Investigator for multiple nationally and internationally funded projects, including the current 'Hacia una Inteligencia Artificial Probabilística Confiable (TOPAI-UAL)' project (2023-2026). His research expertise spans theoretical and applied aspects of probabilistic graphical models, with particular focus on Bayesian networks, causal inference, and their applications across diverse domains. His work demonstrates a consistent trajectory from foundational theoretical contributions to practical implementations in software engineering, genomics, sports analytics, and trustworthy autonomous systems. Professor Salmerón's publication portfolio reveals a strong emphasis on methodological innovations in probabilistic reasoning, with recent work exploring divide-and-conquer approaches for causal computation, noise-robust classification methods, and the integration of observational and randomized data sources. His research shows increasing interdisciplinary reach, connecting computer science methodologies with applications in plant genomics, software maintenance, and healthcare. Journal Publications: 105 articles in high-impact venues including Ecological Informatics (Q1), International Journal of Approximate Reasoning (Q2), and ACM Transactions Research Funding: Principal Investigator for 9 major projects since 2001 totaling over €800,000 in funding Thesis Supervision: Director of 7 doctoral theses on probabilistic graphical models and their applications Metrics: h-index 22 (Web of Science), i10 index 59 His research program demonstrates a unique combination of theoretical rigor in probabilistic reasoning with practical applications across diverse scientific domains, positioning him at the forefront of reliable probabilistic AI development.

• Computational Biology
• Tissue Organization
• 3D Image Analysis
• +۴ مورد دیگر

Luis María Escudero Cuadrado is a Full Professor in the Department of Cell Biology at the University of Seville, where he leads research in computational biomedicine. His work bridges biology, mathematics, and computer science to understand tissue organization and develop diagnostic tools for neuromuscular diseases. He is affiliated with the Instituto de Biomedicina de Sevilla (IBiS) and heads Research Group CTS-594 Neuronal Maintenance Mechanisms. His research focuses on: Computational modeling of tissue organization and epithelial morphogenesis Development of 3D image analysis tools for biological applications Geometric principles in biological systems (notably the discovery of "scutoids") Neuromuscular disease diagnostics through computational methods Neurodegeneration and age-related changes in neural tissues Professor Escudero Cuadrado's recent publications demonstrate a strong focus on developing computational approaches to understand biological tissue organization. His most cited work describes "scutoids," a novel geometric shape that explains 3D packing in curved epithelia. His lab has developed several computational tools including CartoCell and EpiGraph for high-content image analysis of biological tissues. His research spans from fundamental biophysical principles to clinical applications in neurodegeneration and neuromuscular diseases. His scientific contributions include: Discovery of scutoids as a geometric solution for 3D epithelial packing Development of computational tools for biological image analysis Patent for neuromuscular disease diagnostic methods Multiple high-impact publications in journals like Nature Communications Professor Escudero Cuadrado actively mentors students and has directed doctoral theses on computational approaches to tissue organization. His laboratory maintains strong collaborations across disciplines and continues to push the boundaries of computational biomedicine through ongoing research projects and tool development. Professor Escudero Cuadrado leads the Computational Biomedicine Group (http://www.scutoids.es), which focuses on applying mathematical and computational approaches to biological problems. The lab combines expertise in cell biology, biophysics, computer science, and mathematics to develop innovative solutions for understanding tissue organization and disease mechanisms.