جستجوی استاد راهنمای دانشگاهی

Antonio David Berning Prieto serves as Associate Professor in the Department of Public Law at Pablo de Olavide University, Seville, Spain, specializing in Administrative Law with emphasis on digital governance. His academic profile centers on electronic administration, public procurement regulation, and emerging technologies' legal implications in public sector operations. He obtained his PhD from Pablo de Olavide University in 2018 with dissertation "Validity and invalidity of administrative acts and documents in electronic format" supervised by Dr. Eduardo Gamero Casado. His educational background demonstrates deep institutional connection to the university where he now teaches. Berning Prieto's research explores critical intersections of law and technology: Administrative Procedure in digital environments Regulation of Artificial Intelligence in public administration Blockchain applications for local governments Public procurement as social policy instrument Electronic document validity frameworks Oratory techniques in legal education His 15 most recent publications (2017-2023) reveal evolving focus from foundational electronic administration (2017-2019) toward cutting-edge AI governance (2022-2023), with consistent attention to procedural validity and European regulatory alignment. Key thematic clusters include algorithmic accountability in tax administration, blockchain for citizen-government interaction, and social clauses in public contracts. As active member of the "Administrative Procedure" research group under Social and Legal Sciences, he contributes to Spain's PAIDI research framework. While no specific grants are documented in available sources, his work aligns with European digital initiatives like Horizon Europe 2020. His supervisory role includes at least one doctoral graduate (2018 thesis) and pedagogical innovations in student competency development.

• Administrative Law
• Public Procurement
• Electronic Administration
• +۳ مورد دیگر

Raquel Florez López is a Professor at the Department of Financial Economics and Accounting, University of Pablo de Olavide, with a career focused on financial risk analysis, machine learning applications, and organizational change. Her research group, Information, Environment and Organizational Change, aligns with her interdisciplinary expertise in Social and Legal Sciences. PhD in Management Control and Finance (2007), University of León Her research spans financial economics, operational risk, and computational methods. Key areas include credit risk modeling in low-default portfolios, statistical learning for financial systems, and governance mechanisms in SMEs. zbMATH-indexed work highlights her integration of wavelet analysis and Monte Carlo methods in finance. Recent articles focus on digital freelancing profiles, export agency performance, and supply chain resilience, demonstrating her evolving interest in strategic management and international trade. Despite extensive publications, no scientific awards are documented in the provided texts.

• Financial Economics
• Accounting
• Credit Risk
• +۵ مورد دیگر

Dr. Juanjo Nogueira leads a research group at the Autonomous University of Madrid, focusing on physical and chemical processes in biological environments using quantum, classical, and hybrid computational approaches. His work bridges disciplines like quantum chemistry, biophysics, and molecular dynamics to model complex systems. Scientific Awards & Grants: Programa de Atracción de Talento Investigador 2018 Proyectos I+D+i 2020 Consolidación Investigadora 2022 The group advocates for open science, sharing preprints on ChemRxiv , research videos on their YouTube channel , and open-source codes on MoBioChem GitHub .

• Quantum Chemistry
• Computational Biology
• Physical Chemistry
• +۳ مورد دیگر

Jose Guilherme Vilhena Albuquerque Dorey serves as an Associate Professor at the Computational Materials Laboratory within the Institute of Materials Science of Madrid (ICMM), operating under the Spanish National Research Council (CSIC) in Madrid. His institutional presence is confirmed through active contact details including office room 230, telephone 917166040, and direct email correspondence. His research specializes in computational methodologies for materials analysis, with core expertise spanning Materials Science, Computational Physics, and Condensed Matter Theory. He advances predictive modeling of nanoscale material behaviors, focusing on quantum properties and novel material synthesis through high-performance simulations. No scientific awards were documented in the source material. Information regarding graduate student mentorship or secured research funding remains unreported in the available institutional profile. He operates within the Computational Materials Laboratory, a dedicated ICMM research unit developing advanced algorithms and computational frameworks for next-generation materials discovery and characterization.

• Materials Science
• Computational Physics
• Condensed Matter Theory
• +۳ مورد دیگر

Dunia López Pintado serves as a Full Professor in the Department of Economics, Quantitative Methods and Economic History at Pablo de Olavide University. Her academic career bridges theoretical economic modeling with experimental validation, focusing on how network structures shape economic behavior and social outcomes. Her educational foundation includes a PhD from the University of Alicante (2004), where she completed her thesis Networks, diffusion and games: theory and experiments under Dr. Fernando Vega-Redondo. This early work established her trajectory in network-based economic analysis. Professor López Pintado's research centers on network formation , diffusion dynamics , and social influence mechanisms , with significant contributions to understanding contagion processes, peer effects, and public goods provision in structured populations. Her work frequently employs experimental economics to validate theoretical models, particularly in labor market contexts like volunteering's impact on employment and peer effects in collaborative tasks. The WELL-BEING ECONOMY research group she contributes to extends this to health, education, and environmental policy applications. Analysis of her publication trends reveals consistent methodological evolution: from foundational network theory (2008-2013) toward sophisticated uncertainty modeling in contagion processes (2022-2023) and nuanced examinations of heterogeneous agent behavior. Recent work increasingly integrates real-world complexity through functional analysis approaches and examines structural inequalities in diffusion outcomes. She actively contributes to doctoral education through Pablo de Olavide University's Economic Analysis and Business Management programs. While specific grant details aren't provided, her research group's focus on well-being economy suggests engagement with policy-relevant projects addressing labor market integration and social cohesion. Professor López Pintado leads within the WELL-BEING ECONOMY: Health, Education, Labor Market and Environment research group, which operates under the PAIDI Areas of Social and Legal Sciences. This interdisciplinary team develops network-based frameworks for analyzing socio-economic well-being, with particular emphasis on how structural constraints affect opportunity distribution.

• Network Theory
• Social Networks
• Diffusion Processes
• +۴ مورد دیگر

Óscar Aguado Tevar serves as Professor of Finance and Managing Director (CFO-COO-CHRO) at Nebrija University, affiliated with the School of Economics and Business and Department of Applied Economics. He leads the EDGE Nebrija Research Group on Entrepreneurship, Digitalization, Growth, and Business Excellence while teaching finance courses in undergraduate and graduate programs including Nebrija's MBA and UPM's Oil & Gas Engineering Master's. Education PhD in Mining Engineering, Universidad Politécnica de Madrid (2016) Licenciatura in Business Administration, HEC-Paris Business School Master in Petroleum Economics, IFP School (France) Master in Managerial Energy Economics, University of Oklahoma Research Focus His scholarly work bridges digital transformation and sustainable business practices , with recent emphasis on generative AI applications in strategic sectors, electric vehicle adoption dynamics in Spain, and NFC payment system evolution. Through systematic literature reviews and quantitative methodologies, he examines interdisciplinary intersections between technology adoption, cybersecurity compliance, and corporate sustainability measurement—particularly within Spanish universities and energy sectors. Current projects analyze how 5G infrastructure and data science reshape digital marketing landscapes while exploring behavioral factors in public transport usage among Madrid university students. Publication Trends Analysis of his 2024-2025 publications reveals three dominant research streams: (1) AI-driven business transformation (7 articles on generative AI applications and data visualization), (2) sustainable mobility solutions (5 articles on EV adoption and public transport), and (3) digital payment ecosystems (4 articles on NFC/contactless systems). His methodological preference for systematic reviews (60% of recent work) complements quantitative analyses of consumer behavior and policy compliance, often contextualized within Spanish institutional frameworks. Scientific Awards No scientific awards, fellowships, or medals were documented in the provided materials. Advising and Governance Thesis Supervision : Directed approximately fifteen Master's theses (TFMs) at Nebrija University University Leadership : Serves on Nebrija's Management, Government, and Direction Councils Accreditation Panels : Participated in ABET and EFMD/ENQHEEI evaluation committees Strategic Projects : Led business planning for multinational asset management operations across 10 countries Research Infrastructure As head of the EDGE Research Group, he coordinates interdisciplinary collaborations focused on digitalization metrics and business excellence frameworks. The group employs Power BI for data visualization in Spanish university transformation projects while developing synthetic indicators for corporate sustainability measurement—a methodology currently being piloted with partner institutions.

• Digital Transformation
• Artificial Intelligence in Business
• Sustainable Mobility
• +۵ مورد دیگر

María García de Blanes Sebastián is a researcher at the Faculty of Economics and Business, Universidad Nebrija, specializing in Audiovisual Communication and Advertising. She earned her PhD in 2023 from Universidad Rey Juan Carlos with a thesis on technology acceptance models applied to mobile payment platforms and virtual assistants. Research Focus: Technology Acceptance (UTAUT2), Digital Transformation, Augmented Reality, Metaverse, and Neuromarketing. Key Projects: Electric vehicle adoption factors, Hybrid AI banking applications, SaaS service quality, and AR/VR impacts on education and marketing. Her recent publications (2020-2025) demonstrate expertise in integrating AI, sustainability, and behavioral analysis across finance, education, and digital marketing. She collaborates with SEDGE research group and can be contacted at mgarcise@nebrija.es.

• Technology Acceptance Models
• Digital Transformation
• Artificial Intelligence Applications
• +۵ مورد دیگر

Juan José Uriarte Díaz serves as a Researcher at Nebrija University, leading projects within the ARIES Nebrija Research Group on Artificial Intelligence & Emergent Systems. His work bridges cell biology and computational modeling to address critical challenges in pulmonary pathophysiology and tissue engineering. Education: PhD in Cell Biology, Universitat de Barcelona (2016). Dissertation: Multiscale lung tissue mechanics in a mouse model of marfan syndrome , supervised by Dr. Ramón Farré Ventura and Dr. Daniel Navajas Navarro. Dr. Uriarte Díaz specializes in lung extracellular matrix characterization and bioengineered tissue models , with particular expertise in atomic force microscopy-based mechanobiology. His research investigates sex-dependent disease mechanisms in pulmonary fibrosis, ventilator-induced lung injury, and the role of glycosaminoglycans in scaffold functionality. Recent work integrates artificial intelligence to model emergent properties in decellularized lung systems, advancing personalized regenerative approaches for COPD and fibrotic diseases. Analysis of his 15 most recent publications reveals a strategic evolution toward AI-enhanced pulmonary modeling and sex-specific therapeutic development . Key trends include the shift from basic decellularization protocols (2014-2017) to complex hydrogel-based differentiation systems (2021-2023) and the current focus on kinase signaling pathways in age-related fibrosis. His work consistently emphasizes translational applications, particularly in sealant development and stem cell therapies. Scientific Awards: No formal awards documented in source materials Advising and Grants: Dr. Uriarte Díaz supervises graduate theses through Nebrija University's research framework, with emphasis on mechanobiology techniques and AI applications. His projects receive institutional support from the ARIES Research Group, focusing on pulmonary regeneration and biomaterial innovation. Current initiatives include avian lung scaffold optimization and sex-dimorphic fibrosis modeling, though specific grant identifiers remain undisclosed in available documents. Labs and Teams: As core faculty in the ARIES Nebrija Research Group, he directs the Pulmonary Mechanobiology Laboratory. The team employs advanced platforms including atomic force microscopy, bioprinting systems, and murine disease models to investigate cell-ECM interactions. Collaborations span the Barcelona Biomedical Research Park (inherited from doctoral work) and European tissue engineering consortia, with recent expansion into AI-driven predictive modeling of lung injury progression.

• Lung Bioengineering
• Extracellular Matrix Mechanics
• Pulmonary Fibrosis
• +۳ مورد دیگر

Miguel Angel Fernandez Granero is a Professor at the University of Cádiz, specializing in Systems Engineering and Automation within the Department of Automation, Electronics, Architecture and Computer Networks Engineering. As a member of the TIC212 Bioengineering, Automation and Robotics research group under the Institute for Research and Innovation in Biomedical Sciences (INiBICA), he bridges biomedical applications with technological innovation. His research focuses on predictive modeling for respiratory diseases , particularly COPD exacerbations, using telemonitoring and machine learning . Key areas include intelligent oxygen therapy systems , medical image analysis , and wearable sensor development . His 2016 PhD thesis on COPD exacerbation detection established a foundation for subsequent work in AI-driven healthcare technologies . Recent publications highlight his expertise in deep learning for histopathology , activity recognition in portable oxygen devices , and automated retinal imaging diagnostics . While no formal awards are documented, his interdisciplinary approach integrates educational technology in biomedical engineering curricula. He leads projects like AMICA, focusing on wearable sensors , and collaborates on Spanish-Portuguese cultural studies, demonstrating broad academic engagement.

• Systems Engineering
• Automation
• Bioengineering
• +۸ مورد دیگر

Alejandro Lara Doña is a predoctoral researcher at the University of Cádiz, Department of Automation, Electronics, Architecture and Computer Networks Engineering. He is affiliated with the Institute for Research and Innovation in Biomedical Sciences (INiBICA) and collaborates with the TIC212 Bioengineering, Automation and Robotics research group. Education: PhD in Progress, University of Cádiz (2025) Master's in Systems and Computer Engineering Research Industrial Electronic Engineering Degree Research Focus: His work combines biomedical engineering and automation to develop systems for pain assessment in rodents (via pupillometry), COPD management using AI/sensors, and smart oxygen therapy devices. Projects include telemonitoring air quality for COPD patients and automated pupil analysis for locus coeruleus activity. Publications: Recent work highlights AI-driven physiological monitoring, neural network applications in pain research, and IoT-based respiratory support systems. His 2025 thesis establishes a novel link between pupillary response analysis and chronic pain mechanisms. Industrial Experience: Former R&D&I laboratory technician and industrialization team member at Terrasun Holographic Institute.

• Bioengineering
• Automation and Robotics
• Systems Engineering
• +۳ مورد دیگر

Blanca Maria Priego Torres serves as an Assistant Professor in the Department of Automation, Electronics, Architecture and Computer Networks Engineering at the Universidad de Cádiz, where she conducts research through the Institute for Research and Innovation in Biomedical Sciences (INiBICA) and the TIC212 Bioengineering, Automation and Robotics group. Her academic foundation includes a Doctorate from Universidade da Coruña (2017) with the thesis "A comprehensive approach for the efficient acquisition and processing of hyperspectral images and sequences" supervised by Dr. Richard J. Duro Fernández. Dr. Priego Torres' research spans biomedical engineering , computer vision , and robotics , with pioneering work in deep learning applications for medical imaging and hyperspectral processing. Her contributions include automated disease screening from chest X-rays, lung segmentation algorithms, breast cancer diagnostics, and cellular automata-based hyperspectral image analysis, demonstrating interdisciplinary innovation at the intersection of engineering and medicine. Analysis of her 2020-2025 publications reveals dominant themes in medical image analysis (chest X-rays, breast histopathology) using advanced architectures like Mamba-YOLOvX and SAM, alongside sustained contributions to hyperspectral imaging for environmental monitoring and biomedical applications, highlighting her dual expertise in clinical diagnostics and remote sensing technologies. As an active member of the TIC212 research group at INiBICA, she leads projects integrating automation, robotics, and AI for biomedical solutions, including autonomous ship modeling for marine testing and cough detection systems using wearable sensors, advancing practical applications of her theoretical work.

• Biomedical Engineering
• Computer Vision
• Deep Learning
• +۴ مورد دیگر

Carmen Blanco del Prado is a faculty member at the University of Navarra , affiliated with the Tecnun School of Engineering and the Department of Biomedical Engineering and Sciences . She holds the academic rank of Professor and specializes in modeling dislocation mechanics for cracks in coatings and anisotropic materials. Her research interests include: Dislocation modeling in elastic anisotropy Kinked crack analysis Biomedical and mechanical applications Structural integrity of materials

• Biomedical Engineering
• Mechanical Engineering
• Fracture Mechanics
• +۳ مورد دیگر

María Villarroya Gaudó is a Full Professor at the University of Zaragoza, affiliated with the Department of Computer Science and Systems Engineering within the School of Engineering and Architecture. She is a key member of the ARAGON ENGINEERING RESEARCH INSTITUTE (I3A) and leads the Computer Architecture group (GAZ). In addition to her academic roles, she serves as the Director of the Internationalization Secretariat since 2016 and Director of the UNITA Office. Her educational background includes: PhD in Electronic Engineering from the Autonomous University of Barcelona (2005) Diploma of Advanced Studies in Electronics (2002) Master in Electronic Engineering (2002) Bachelor of Science in Physics (2000) Dr. Villarroya's research focuses on advancing computing systems with an emphasis on energy efficiency and performance optimization . Her work spans heterogeneous multiprocessor systems , on-chip interconnection networks , and CMOS device modeling . She has made significant contributions to understanding how to balance computational demands with environmental sustainability, particularly examining how different processor types (CPUs, GPUs, FPGAs) can be optimally utilized for specific applications while minimizing energy consumption and CO 2 emissions. Her work promoting gender equality in STEM fields has been particularly noteworthy, including founding the "An engineer in every school" initiative and authoring the influential publication "10001 women engineers" during the 2020 pandemic. Her scientific achievements have been recognized with several prestigious awards: Exducere Award from Zaragoza City Council (2021) Third prize of the STEM 2022 Alliance for Female Talent Dr. Villarroya has secured multiple research grants, including funding from the Spanish Foundation for Science and Technology and the Women's Institute. She has been instrumental in developing outreach programs that connect university researchers with primary and secondary schools across Aragon to address the gender gap in engineering education at its earliest stages. She leads the GAZ research group within the I3A institute, fostering collaboration between different engineering disciplines and supporting research management activities. Her team's work bridges theoretical computer architecture with practical applications that address contemporary challenges in computing efficiency.

• Computer Architecture
• Heterogeneous Multiprocessor Systems
• Energy Efficiency in Computing Systems
• +۵ مورد دیگر

Juan Antonio Fernández del Pozo is an Associate Professor of Statistics and Operations Research at the School of Computer Science, Technical University of Madrid (UPM), and a member of the Computational Intelligence Group. With over 60 publications and participation in more than 30 national and international research projects, he is a leading researcher in decision analysis and intelligent systems. His educational background includes: Doctorate in Computer Science from the School of Computer Science, UPM (Thesis: "Listas KBM2L para la síntesis de conocimiento en sistemas de ayuda a la decisión") His research focuses on probabilistic graphical models (Bayesian networks/influence diagrams) for decision support, evolutionary algorithm optimization, and machine learning for data streams with concept drift. Key application domains span Social Network Analysis, Air Traffic Management, structural health monitoring, Industry 4.0, and social service quality modeling in collaboration with Spanish Foundations. His work emphasizes knowledge acquisition in large decision tables, explanation synthesis, and sensitivity analysis. Publication trends reveal two phases: foundational work (2000-2013) on Bayesian networks and medical decision systems (e.g., neonatal jaundice modeling), and recent applied research (2016-2018) addressing environmental restoration, transportation scheduling, and social innovation networks. Scientific awards: No scientific awards were mentioned in the provided text. Advising and grants: Supervised 12+ Master's Degree projects Supervised 50+ final degree projects Participated in 30+ research projects Served on 18+ doctoral thesis evaluation panels Labs and teams: Active member of the Computational Intelligence Group at UPM

• Decision Analysis
• Intelligent Decision Support Systems
• Probabilistic Graphical Models
• +۱۰ مورد دیگر

Rui Abreu is a Full Professor at the Faculty of Engineering of the University of Porto, Portugal. His academic career spans multiple institutions including IST, ULisbon where he served as an Associate Professor, and the University of Porto where he previously held the position of Assistant Professor. He has also been a Visiting Researcher at Google NYC (2019-2020) and a member of the Model-Based Reasoning group at PARC's System and Sciences Laboratory. Dr. Abreu earned his Ph.D. in Computer Science - Software Engineering from the Delft University of Technology, The Netherlands, and his M.Sc. in Computer and Systems Engineering from the University of Minho, Portugal. His research revolves around software quality with emphasis on automating testing and debugging phases of the software development life-cycle as well as self-adaptation. With extensive expertise in both static and dynamic analysis algorithms, his work spans traditional software engineering, quantum software testing, and security-focused development practices. His recent publications demonstrate a strong focus on applying AI techniques to software engineering problems, quantum software testing, and security vulnerability detection. The trend shows increasing integration of large language models in debugging tools and expanding research into quantum software verification. Dr. Abreu has received significant recognition for his work, including 6 Best Paper Awards and a Distinguished Paper Award at ESEC/FSE 2019. His research has attracted considerable attention in the software engineering community. As an entrepreneur, he co-founded DashDash in January 2017, a platform that allows users to create web applications using only spreadsheet skills. The company secured $9M in Series A funding in May 2018. His industry experience complements his academic work, particularly in the areas of practical software tools and applications. Dr. Abreu has been actively involved in numerous conferences, serving as General Chair for ICST 2020, Program Committee member for multiple tracks across various conferences, and as Steering Committee member for ICST. His leadership in the software engineering community is evident through his extensive service and contributions to the field.

• Software Quality
• Software Testing
• Debugging
• +۵ مورد دیگر