جستجوی استاد راهنمای دانشگاهی

Astrid Wagner is a Senior Scientist and Deputy Director at the Institute of Philosophy (IFS) of the Spanish National Research Council (CSIC) in Madrid. She holds a PhD in Philosophy from Technische Universität Berlin, recognized by the National University of Distance Education (UNED), and previously served as professor for 20 years at TU Berlin. Her research focuses on philosophy of culture, science epistemology, and digital society challenges. Key interests include philosophy of language, perception phenomenology, pragmatism, and ethical implications of digital transformation. Recent work examines uncertainty dynamics, trust frameworks, post-truth phenomena, infodemics, conspiracy theories, cognitive vulnerability, and digital citizenship. Wagner leads major research initiatives including the INconRES project on ethical-epistemological keys to digital social dynamics (2021-2025), the ORTEGA-CM interdisciplinary innovation consortium on José Ortega y Gasset's legacy (2024-2026), and previously directed the RESPONTRUST project combating COVID-19 disinformation (2021-2023). She co-leads the DESTERRA project analyzing disinformation's societal foundations (2022-2025) and participates in UCM's Rationality, Knowledge and Action research group. She serves on Spain's Committee of Experts for National Security against disinformation, advises the Congressional Science Office, and holds editorial positions at the Journal of Ortega Studies. Wagner contributes to GENET Association's Gender Studies Network and juries for the Princess of Asturias Award and Javier Muguerza Philosophy Prize.

• Philosophy of culture
• Philosophy of science
• Epistemology
• +۱۲ مورد دیگر

Andrés Baselga Fraga is a Professor at the University of Santiago de Compostela, affiliated with the Department of Zoology, Genetics and Physical Anthropology within the Faculty of Biology. He leads the BiBiCI research group (Biodiversity, Biogeography and Integrative Conservation) and is associated with the Center for Interdisciplinary Research in Environmental Technologies (CRETUS). His doctoral work (2002) focused on Chrysomelidae beetles in Galicia, supervised by Dr. Francisco Novoa Docet. Education: PhD in Biology, University of Santiago de Compostela (2002) Thesis: 'Study of the Chrysomelidae (Coleoptera) of Galicia' Research Interests: His work centers on biodiversity patterns, biogeographical processes, and community ecology, with a focus on spatial scaling of phylogenetic diversity, climate change impacts, and dispersal limitation effects. He explores these through macroecological approaches, integrating genetic, taxonomic, and environmental data. His studies often address beetle communities, particularly Chrysomelidae, and their responses to environmental changes. Article Trends: Recent publications analyze biodiversity value through phylogenetic uniqueness, climate stability's role in species abundance-genetic diversity congruence, and dispersal mechanisms shaping community turnover. He also examines spatial and temporal shifts in montane ecosystems and develops novel statistical methods for assessing distance-decay relationships. Awards: No specific academic awards noted in the provided texts. Grants & Advising: No grant details or student advisees explicitly listed. His research has been supported through institutional affiliations like CRETUS. Labs/Teams: Leads the BiBiCI group and collaborates with CRETUS, focusing on interdisciplinary environmental research.

• Biodiversity Conservation
• Biogeography
• Community Ecology
• +۷ مورد دیگر

Alejandro Sánchez Gracia is an Associate Professor at the Universitat de Barcelona's Faculty of Biology, affiliated with the Department of Genetics, Microbiology and Statistics. He leads the Molecular Evolutionary Genetics research group and directs the advanced course in 'Phylogenomics and Population Genomics: Inference and Applications.' Education: Llicenciat in Biology (Universitat de Barcelona, 1998), PhD in Biology (Universitat de Barcelona, 2006) Research Focus: Molecular mechanisms of chemosensory gene evolution in arthropods, development of bioinformatics tools for evolutionary and population genomics, and population genomics of adaptation in Drosophila. His work bridges computational methods with evolutionary biology, emphasizing genomic approaches to study adaptation. Key projects include analysis of chemoreceptor gene families across Panarthropoda, genomic studies of Canary Island endemic species, and development of tools like BITACORA for gene family annotation. He has contributed to major genomic resources such as DnaSP 6 and participated in initiatives like the Earth BioGenome Project. Active in collaborative networks like the European Drosophila Population Genomics Consortium and AdaptNET (Adaptive Genomics Network). Grants and Projects: 2021-2024: PID2020-113168GB-I00 (Ministry of Science, Spain) - Poligenic adaptation in Drosophila 2020-2021: Catalan blind scorpion genome project (Institut d'Estudis Catalans) Labs/Teams: Heads the Molecular Evolutionary Genetics group, collaborating on projects involving spider genomics, chemosensory evolution, and population-level adaptation studies.

• Molecular Evolutionary Genetics
• Population Genomics
• Comparative Genomics
• +۳ مورد دیگر

Luis Merino Cabañas is a Professor at the Universidad Pablo de Olavide , affiliated with the Deporte e Informática department and leading the SRL Service Robotics Laboratory . His research focuses on robotics, systems engineering, and automation, with a specialization in human-robot interaction and path planning. Education : PhD in Systems Engineering from the Universidad de Sevilla (2007), where his thesis explored cooperative perception techniques for multiple unmanned aerial vehicles in forest fire detection. Research Trends : Recent work (2023–2025) emphasizes 3D path planning, sensor fusion (LiDAR, radar, inertial systems), neural distance fields for safe navigation, and socially aware robotics. His studies integrate AI, genetic programming, and multi-modal perception for applications in construction, healthcare, and GNSS-denied environments. Labs & Teams : He leads the SRL Service Robotics Laboratory , contributing to projects like the Skyeye team and BIM2ROS integration for construction robotics.

• Robotics
• Systems Engineering
• Automation
• +۵ مورد دیگر

Silvia Jiménez Fernández is an Associate Professor in the Department of Signal Theory and Communications at Universidad Autónoma de Madrid. Her research focuses on optimization algorithms, smart grids, renewable energy systems, telemedicine, and machine learning applications. She holds a Ph.D. from Universidad Politécnica de Madrid (2009), supervised by Dr. Francisco del Pozo Guerrero and Dr. Paula de Toledo Heras. Her work integrates interdisciplinary approaches, such as combining evolutionary algorithms with engineering challenges in energy systems and healthcare. Key contributions include advancements in coral reefs optimization algorithms for energy management, machine learning for battery health estimation, and telemedicine systems for chronic disease monitoring. Recent research trends emphasize hybrid learning models in education, multi-objective optimization in renewable energy systems, and risk analysis in smart grids with electric vehicles. She is affiliated with the GHEODE Research Group (Modern Heuristics and Network Design).

• Optimization Algorithms
• Smart Grids
• Renewable Energy Systems
• +۳ مورد دیگر

Mar Sobral Bernal is a Professor at the Department of Geography, University of Santiago de Compostela, Spain, affiliated with the Faculty of Geography and History. She holds a PhD from the same institution (2010) focusing on selection pressures on fruit traits in Crataegus monogyna . Her work emphasizes evolutionary ecology of plant-animal interactions and global change impacts on biodiversity, particularly carbon cycling. She has conducted research at CNRS (France) and Stanford University (USA), and collaborates with groups like ANTE and EcoPast. Research interests include plant defense mechanisms, transgenerational plasticity, functional diversity effects on soil carbon, and science outreach addressing gender equity. Key findings explore how mammal biodiversity influences soil organic matter composition and how herbivory shapes plant phenotypic traits across generations. Publications span plant-animal interactions, climate impacts on ecosystems, and biodiversity-carbon links. Her recent work highlights the role of functional traits in carbon dynamics and transgenerational effects of herbivory. She advocates for equitable science through outreach and policy engagement.

• Evolutionary ecology
• Plant-animal interactions
• Global change impacts on biodiversity
• +۳ مورد دیگر

Rosario Gil García is a Professor in the Department of Genetics at the Faculty of Biological Sciences, University of Valencia. She is affiliated with the Institute for Biological Systems Integration (I2SYSBIO) and leads research within the GENEVOL Evolutionary Genetics group. Her work bridges molecular genetics, evolutionary biology, and systems biology. Her research focuses on evolutionary genetics of microbial symbioses , particularly in insects. Key areas include genome reduction, minimal genomes, endosymbiont evolution (e.g., Buchnera , Tremblaya , Wolbachia ), and the functional dynamics of gut microbiota in cockroaches and aphids. She investigates how long-term symbiosis shapes genome architecture and metabolic dependencies. The recent publication trends highlight a strong emphasis on minimal cellular systems , synthetic biology applications , and vector control strategies using Wolbachia-mediated incompatibility in Aedes albopictus . Her work combines comparative genomics, experimental microbiology, and systems-level modeling to understand the limits of life and harness symbiosis for biotechnological innovation. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: While no list of advisees is provided, her role as a PhD supervisor (having been supervised herself) and her leadership in a major research group suggest active mentoring. She is likely involved in competitive research grants related to evolutionary genomics and synthetic biology, though specific funding sources are not listed. Labs and Teams: She is an integral member of the GENEVOL Evolutionary Genetics research group and the I2SYSBIO institute, both of which foster interdisciplinary research in biological systems, evolution, and genomics. These affiliations provide a collaborative environment for advanced genomic and experimental studies.

• Evolutionary Genetics
• Microbial Symbiosis
• Genome Reduction
• +۷ مورد دیگر

Fernando Gonzalez Candelas is a Professor in the Department of Genetics at the Faculty of Biological Sciences, Universitat de València, Spain. He leads the EVOSALUD research group (Evolution and Health: Experimental evolution and epidemiology), hosted within the Institute for Biological Systems Integration (I2SYSBIO). His work bridges evolutionary biology, genomics, and public health, focusing on microbial pathogens and their transmission dynamics. His research interests lie at the intersection of evolutionary genetics , genomic epidemiology , and infectious disease dynamics . He investigates the genetic basis of virulence, antimicrobial resistance, and host adaptation in pathogens such as SARS-CoV-2, Treponema pallidum , Klebsiella pneumoniae , and Candida auris . His group applies high-throughput sequencing, phylogenetics, and bioinformatics to understand short- and long-term pathogen evolution. The recent publications highlight a strong focus on real-time genomic surveillance of emerging pathogens, particularly during the COVID-19 pandemic. His work spans from technical improvements in sequencing and analysis (e.g., deletion repair, genotyping discrepancies) to large-scale epidemiological inference (e.g., transmission patterns, recombination, resistance evolution). A recurring theme is the use of both modern and ancient genomes to reconstruct the evolutionary history of pathogens. His scientific contributions are recognized through active participation in national and international research consortia such as RELECOV and SeqCOVID-Spain. He has contributed significantly to understanding the first wave of the pandemic in Spain and the evolution of SARS-CoV-2 variants. He earned his PhD from the Universitat de València in 1988 with a thesis on larval competition in Drosophila , indicating a long-standing interest in evolutionary processes. While no formal awards are listed in the provided text, his leadership in high-impact research and sustained publication record suggest significant recognition in his field. Fernando Gonzalez Candelas advises students and leads a research team focused on pathogen genomics. His lab, EVOSALUD, is actively involved in projects related to wastewater monitoring, nosocomial outbreaks, and the development of tools like VIPERA for viral intra-patient evolution analysis. The group’s work has direct implications for public health policy and clinical microbiology.

• Evolutionary Genetics
• Microbial Genomics
• Genomic Epidemiology
• +۷ مورد دیگر

Raul Giraldez Rojo is a Professor at the University of Pablo de Olavide in Seville, Spain, working in the Department of Sports and Information Technology within the area of Computer Languages and Systems. He is affiliated with the DASE (Data Analytics Science & Engineering) research group and contributes to PhD programs in Engineering, Data Science, and Bioinformatics. His research interests focus on computer science with specialization in machine learning, evolutionary algorithms, and data analytics. Dr. Giraldez Rojo has made significant contributions to supervised learning techniques, clustering algorithms, and genetic programming applications. His work bridges theoretical computer science with practical applications in bioinformatics and data mining. His publication record demonstrates expertise in developing algorithms for data analysis, particularly in biclustering methods for expression data and supervised clustering techniques. His research shows a consistent focus on improving efficiency and effectiveness of computational methods for handling complex datasets. Dr. Giraldez Rojo collaborates extensively with researchers including Jesús Salvador Aguilar-Ruiz and José Cristobal Riquelme Santos, indicating strong research partnerships within the Spanish academic community specializing in computational intelligence.

• Computer Science
• Machine Learning
• Evolutionary Algorithms
• +۴ مورد دیگر

Domingo Savio Rodríguez Baena is a Professor at Pablo de Olavide University, affiliated with the Department of Computer Languages and Systems. His research focuses on data mining, bioinformatics, and computational biology, with a particular emphasis on biclustering algorithms, gene co-expression networks, and high-performance computing applications. PhD in Engineering, Data Science, and Bioinformatics (2012) from Pablo de Olavide University His work spans interdisciplinary domains, including recommender systems , livestock behavior analysis , and biological data interpretation . Recent articles highlight his contributions to multi-GPU optimization , ensemble learning , and historical database construction . Key collaborations include the DATAi Intelligent Data Analysis and DASE Data Analytics Science & Engineering research groups. He has developed tools like the CyEnGNet–App for gene network visualization and BIGO for gene enrichment analysis. Contact: dsrodbae@upo.es

• Data Mining
• Bioinformatics
• Machine Learning
• +۳ مورد دیگر

Pilar Domingo Calap is an Associate Professor at the Universitat de València, affiliated with the Faculty of Biological Sciences and the Department of Genetics. Her research focuses on bacteriophage biology, viral evolution, and combating antibiotic resistance through phage therapy. She has contributed to understanding phage-host interactions, bacterial resistance mechanisms, and innovative applications of phage-based technologies in environmental and biomedical contexts. Recent publications highlight her work on phage depolymerases, capsule-specific targeting strategies, and synergies between phage therapy and nanotechnology. Her research group (EnBiVir) explores bacteriophages' applications in global health, while collaborations with EVOSALUD emphasize experimental evolution and epidemiology. She has developed tools like CleanBar for single-cell omics and DepoScope for enzyme annotation, demonstrating expertise in computational approaches to virology. Her studies span clinical applications (e.g., cystic fibrosis lung rejection, prosthetic joint infections) and environmental interventions (e.g., Salmonella control in broiler farms, Xylella fastidiosa mitigation).

• Bacteriophage Biology
• Antibiotic Resistance
• Viral Evolution
• +۳ مورد دیگر

Maria Angeles Ayllón is an Associate Professor at the Technical University of Madrid (UPM) and leads the Virus-Fungus-Plant Interaction research group at the Center for Plant Biotechnology and Genomics (CBGP-UPM/INIA/CSIC) . Her research focuses on understanding the molecular mechanisms of mycovirus interactions with plant pathogenic fungi, particularly Botrytis cinerea , to develop sustainable biocontrol strategies for plant diseases. Research Focus: Mycovirus diversity and evolution in fungal pathogens Molecular mechanisms of fungal responses to viral infections Development of mycovirus-based biocontrol agents RNA silencing in fungi as antiviral defense Synthetic mycovirus construction for functional studies Her group has made significant contributions to mycovirus discovery, including novel Botrytis cinerea viruses, and has developed infectious clones for reverse genetics studies. The research has direct applications in sustainable agriculture, particularly in reducing chemical fungicide use as mandated by the EU Green Deal. Current Research Projects: PID2020-120106RB-I00 (2021-2024): "Molecular mechanism involved in the interaction of Botrytis cinerea-host plant mediated by a mycoviral infection" - Co-PI with Julio L. Rodríguez-Romero VIROPLANT H2020-SFS-17 (2018-2021): "Virome NGS analysis of pests and pathogens for plant protection" - PI Research Team: The group currently includes 3 PhD students (Cecilia Martín Parera, Julian Méndez Garcia), 1 postdoc (Javier Pardo Medina), and collaborates with Assistant Professor Julio Luis Rodriguez Romero. Laboratory Facilities: The group operates from offices (Room 223) and laboratories (Room 229) at the CBGP facilities in Montegancedo Campus, Madrid, with full molecular biology, genomics, and plant pathology capabilities.

• Mycovirology
• Plant Pathology
• Fungal Virology
• +۴ مورد دیگر

Asier Perallos Ruiz is a Professor in the Faculty of Engineering at the University of Deusto, specializing in the Department of Computing, Electronics and Communication Technologies. His research focuses on RFID technology, wireless sensor networks, and computational intelligence applications with significant contributions to intelligent transport systems and antenna design. Dr. Perallos Ruiz's research interests span multiple domains with a focus on RFID technology , Wireless sensor networks , Internet of Things (IoT) , Computational intelligence , Evolutionary algorithms , and Intelligent transport systems . His work bridges theoretical advancements with practical applications, particularly in transportation systems, healthcare, and industrial automation. His research often involves interdisciplinary collaboration across engineering disciplines. His publication portfolio shows a consistent trend toward improving RFID systems, developing efficient anti-collision protocols, and applying computational intelligence to real-world problems. Recent work has focused on polarization-diversity rotation sensing, customizable RFID platforms, and the integration of RFID with IoT applications. His research demonstrates a progression from foundational RFID technology to more complex system integration and application-specific solutions. Dr. Perallos Ruiz has supervised several graduate students including Muralter Florian (2021), Arjona Aguilera Laura (2018), Cmiljanic Nikola (2018), Lopez Garcia Pedro (2016), and Moreno Emborujo Asier (2016). His research has been supported by various projects focusing on RFID technology, intelligent transportation systems, and wireless communication applications. He leads research teams focused on RFID systems development, wireless sensor networks, and computational intelligence applications. Current work appears to be advancing RFID sensing capabilities, energy-efficient protocols, and system integration for practical applications in transportation and industry.

• RFID Technology
• Wireless Sensor Networks
• Internet of Things
• +۵ مورد دیگر

Cecilio Angulo Bahón is a full Professor at the Polytechnic University of Catalonia (UPC), affiliated with the Barcelona School of Industrial Engineering (ETSEIB) and the Department of Systems, Automatics and Industrial Informatics Engineering . He leads research in Artificial Intelligence and Robotics , with significant contributions to healthcare data analytics, digital twins, and human-robot collaboration. His research spans machine learning for medical data harmonization, generative adversarial networks in health informatics, and evolutionary algorithms for control systems. Recent publications focus on synthetic healthcare data generation, climate-resilient agriculture , and UMAP-based data analysis . His work bridges AI theory with practical applications in industrial and healthcare domains. Scientific awards include the Sant Jordi 2023 Digital Polytechnic Initiative Award . He has supervised doctoral candidates like Carlos Flores-Vázquez and N. Raya, with key collaborations at the IDEAI-UPC Intelligent Data Science and AI Research Group and the Institute of Robotics and Industrial Informatics (CSIC-UPC).

• Artificial Intelligence
• Robotics
• Data Science
• +۴ مورد دیگر

María Ángeles Ayllón is an Associate Professor at the Polytechnic University of Madrid (UPM), leading the Virus-Fungus-Plant Interaction group. Her research focuses on understanding mycovirus-fungal host interactions and their application in biocontrol. She collaborates with the International Committee on Taxonomy of Viruses (ICTV) on viral family classifications, such as Botourmiaviridae and Hypoviridae . Her work addresses fungal pathogen control via viral agents to reduce pesticide use, aligning with EU’s Green Deal goals. Ayllón oversees a multidisciplinary team including PhD students and postdocs, such as Javier Pardo Medina and Julio L. Rodríguez-Romero. Her research spans three main areas: mycovirus diversity and evolution, molecular mechanisms of viral-fungal interactions, and development of synthetic mycoviruses as biocontrol tools. Key projects include analyzing the mycovirome of Botrytis cinerea isolates and constructing infectious viral clones for reverse genetics. She has secured grants like Molecular Mechanisms in Botrytis-Plant Interaction (PID2020-120106RB-I00) and the H2020-funded ViroPlant initiative, fostering international collaboration. Ayllón’s team explores novel mycoviruses and their impact on fungal virulence, aiming to develop eco-friendly alternatives to chemical fungicides. Her contributions include discovering new viral families and elucidating RNA silencing pathways in fungi. Ongoing efforts focus on synthetic biology approaches to enhance mycovirus efficacy in agricultural settings.

• Mycovirology
• Fungal Pathogen Biology
• Biocontrol Strategies
• +۳ مورد دیگر