جست‌وجوی استاد و پژوهشگر

Luis Carlos Pardo Sotoمشاهده پروفایل

دانشیار

• Bayesian Analysis
• Disordered Systems
• Liquids
• +۷ مورد دیگر

Luis Carlos Pardo Soto is an Associate Professor in the Department of Physics at the Escola d'Enginyeria de Barcelona Est (EEBE), Universitat Politècnica de Catalunya (UPC). He is a core member of the Group of Characterization of Materials (GCM), the Multiscale Science and Engineering Research Center (CCEM), and the Phase Transitions, Polymorphism, Glasses and Dynamics of Metastability (PTP-GlaDyM) research group. His research focuses on disordered systems including molecular liquids, plastic crystal phases, and their glassy states. He investigates the structural and dynamic properties of these systems using experimental techniques such as neutron and X-ray diffraction, dielectric spectroscopy, and high-pressure devices, complemented by molecular dynamics simulations using GROMACS. His work particularly examines water structure and its interactions with biologically relevant molecules. Pardo Soto has developed specialized software tools including ANGULA for orientational order analysis in disordered systems and FABADA for Bayesian analysis of experimental data. His research outputs include numerous indexed journal articles, book chapters, and conference presentations, with significant contributions in the fields of glass formation, molecular dynamics, and disordered materials characterization. He is actively involved in scientific outreach through FISIDABO VISIONS (STEAM-FORUM and STEAM-ANELLA initiatives) and maintains a YouTube channel for disseminating scientific content. His teaching responsibilities focus on disordered systems and related physics concepts.

Rodrigo Santamaría Vicenteمشاهده پروفایل

دانشیار

• Bioinformatics
• Information Visualization
• Microarray Data Analysis
• +۴ مورد دیگر

Rodrigo Santamaría Vicente is an Associate Professor in the Department of Computer Science and Automation within the Faculty of Sciences at the University of Salamanca. His academic career centers on bridging computer science with biological research through advanced data analysis and visualization techniques. He serves as director of the Diploma of Specialization in Bioinformatics and Computational Genomics, demonstrating leadership in specialized academic programming. Dr. Santamaría earned his PhD in Computer Science from the University of Salamanca in 2009 with his thesis "Visual analysis of gene expression data by means of biclustering," supervised by Dr. Luis Antonio Miguel Quintales and Dr. Roberto Therón Sánchez. His academic journey began with an M.S. degree in Computer Science from the same institution. His research primarily focuses on Bioinformatics and Information Visualization, with particular emphasis on integrating diverse data sources, analysis algorithms, and visual representations to enhance understanding of complex biological problems. His work spans multiple subdomains including gene expression analysis, biclustering algorithms, phylogenetic tree visualization, and collaborative tagging systems. Santamaría's research group affiliations include both the BIOINFORMÁTICA research group and the CaUSAL (Cultura Académica, Patrimonio y Memoria Social) research group at the Institute of Functional Biology and Genomics. His publication record reveals a consistent trajectory of scholarly output since 2006, with recent work showing increased focus on biological applications of computational methods. His most significant contributions appear in the integration of visualization techniques with bioinformatics analysis, particularly through tools like BicOverlapper and Voronto that facilitate interactive exploration of complex biological data. The evolution of his work demonstrates progression from foundational algorithm development to increasingly sophisticated applications in systems biology. Author of the book "How Machines Organize: An Introduction to Distributed Systems" Director of the Diploma of Specialization in Bioinformatics and Computational Genomics Active contributor to R programming ecosystem with the biclust package As an educator, Santamaría teaches across multiple programs including the Master's Degree in Computer Engineering and previously taught Bioinformatics for the Biotechnology degree program. His teaching portfolio spans Bioinformatics (from both computer science and biology perspectives), Distributed Systems, and Service-Oriented Architectures. He maintains an active research laboratory focused on developing visualization tools for biological data analysis, with current projects emphasizing integration of gene expression data with biological ontologies and advanced biclustering techniques.

• Fuzzy Data Analysis
• Statistical Analysis of Imprecise Data
• Random Sets
• +۳ مورد دیگر

Ana Belén Ramos Guajardo is a Professor in the Department of Statistics and Operations Research and Mathematics Education at the University of Oviedo. She is affiliated with the GRINAT Research Group (Grupo de Investigación en Riesgos Naturales) and holds a doctorate from the University of Oviedo with her thesis titled "Contrastes de hipótesis tratamiento de la variabilidad y la imprecisión" (2011), supervised by Dr. Gil González Rodríguez, Dr. María Angeles Gil Alvarez, and Dr. Ana María Colubi Cervero. Her research focuses on statistical methodologies for imprecise data, particularly fuzzy data analysis, random sets, interval data analysis, and hypothesis testing. She has developed innovative approaches for distance-based statistical analysis, fuzzy clustering, and regression models for random intervals. Her work bridges theoretical statistics with practical applications in environmental sciences and other domains requiring analysis of imprecise measurements. Her publications reveal a strong focus on developing statistical methods for non-standard data types, with particular emphasis on random fuzzy sets and interval-valued data. She has contributed significantly to hypothesis testing frameworks for fuzzy data, distance metrics for imprecise data analysis, and computational methods for implementing these techniques. Her most recent work continues to advance the theoretical foundations while exploring practical applications. Ramos Guajardo has collaborated extensively with researchers in the fuzzy data analysis community, particularly with Ana Colubi, Gil González-Rodríguez, and María Asunción Lubiano. Her work has been published in top statistical journals including International Journal of Approximate Reasoning, Fuzzy Sets and Systems, and Information Sciences. She has advised or collaborated with numerous researchers in the field, contributing to the development of statistical fuzzy data analysis as a specialized subfield. Her methodological contributions have applications in environmental risk assessment, particularly through her affiliation with the Natural Risks Research Group at the University of Oviedo.