جست‌وجوی استاد و پژوهشگر

• Tax Law
• International Taxation
• Housing Tax Policy
• +۴ مورد دیگر

Daniel Santiago Marcos serves as an Associate Professor in the Department of Public Law at the University of Girona's Faculty of Law, specializing in Financial and Tax Law. He teaches undergraduate and master's level courses while maintaining an active research profile focused on contemporary taxation challenges. His academic credentials include: Doctor of Law from the University of Girona (2023), awarded the Extraordinary Doctoral Award for his thesis "The taxation of telework" Dr. Santiago Marcos's research centers on International Taxation of Income from Work, Housing Tax Policy, and Digital Taxation. His work critically examines telework taxation frameworks, fiscal policies for housing access in depopulated areas, and environmental aspects of vehicle taxation. He investigates how digital transformation impacts taxpayer rights and administrative efficiency, with particular attention to AI applications in fraud detection and electronic communication systems with public administrations. Analysis of his 2022-2024 publications reveals a consistent focus on the intersection of tax law with societal challenges: remote work arrangements, housing crises, and environmental sustainability. His scholarship demonstrates increasing emphasis on cross-border taxation complexities and the integration of digital tools in tax administration, reflecting broader trends in legal adaptation to technological and demographic shifts. His scientific recognition includes: Extraordinary Doctoral Award 2023 Dr. Santiago Marcos currently participates in the Ministry of Science and Innovation-funded research project "A multidimensional approach to housing: a focus from tax and public expenditure law" and is a member of the Consolidated Interuniversity Research Group on Fiscal Law (IDEF), recognized by the Generalitat de Catalunya. While specific student supervision details aren't provided, his faculty position involves mentoring graduate researchers. His research group affiliations drive collaborative work on fiscal policy solutions for housing and depopulation challenges. He maintains active membership in the Research Group on Public Law Analysis (specializing in financial and tax law) and the IDEF research group, where he contributes to advancing fiscal law scholarship through interdisciplinary collaboration.

• Computer Science
• Data Analytics
• Sports Technology
• +۳ مورد دیگر

Francisco Javier Gil Cumbreras is an Associate Professor at Universidad Pablo de Olavide, currently affiliated with the Department of Sports and Information Technology. He is a member of the DASE (Data Analytics Science & Engineering) research group and operates within the PAIDI area of Information and Communication Technologies. His research focuses span data analytics , machine learning , and sports technology , with an emphasis on integrating computational methods into sports science and information systems. The DASE group supports interdisciplinary projects combining data science with engineering applications. No scientific awards, students, or publications were listed in the provided text.

Jose Francisco Torres Maldonadoمشاهده پروفایل

دانشیار

• Data Science
• Big Data
• Time Series Forecasting
• +۲ مورد دیگر

Jose Francisco Torres Maldonado serves as an Associate Professor in the Department of Sports and Information Technology at the School of Engineering, Pablo de Olavide University. He concurrently holds teaching positions at the National University of Distance Education (UNED) and as an invited lecturer for master's programs in Artificial Intelligence (AEPIA) and Internet of Things (Instituto Politécnico de Beja, Portugal). Torres Maldonado earned his Bachelor's (2017) and Master's (2018) degrees in Computer Science from Pablo de Olavide University, followed by a PhD in Computer Science from the same institution in 2022. His doctoral research focused on predictive models based on deep learning for massive temporal data, supervised by Dr. Alicia Troncoso Lara and Dr. Francisco Martínez-Álvarez. His research centers on Data Science, Big Data analytics, and Deep Learning applications for time series forecasting, with emphasis on energy consumption prediction, water resource management, and environmental monitoring. He develops advanced machine learning models addressing real-world challenges in smart city infrastructure and sustainable resource management, particularly through LSTM networks and ensemble methods. Analysis of his 15 most recent publications reveals consistent innovation in temporal data analysis, with 60% focused on energy applications (electricity markets in Algeria/Spain) and 30% on environmental systems (water management, wildfires, forestry). His work increasingly integrates transfer learning, metaheuristic optimization, and quantum-classical hybrid approaches, demonstrating methodological evolution from pure deep learning toward cross-domain adaptation techniques. No specific scientific awards were documented in the available materials. He participates in Spanish Ministry-funded projects including "Big Data Streaming" and "Big Time-Aware Data", alongside industry collaborations with DETEA (CONBIDA construction analytics), ISOTROL (ANAMERLEC electricity forecasting), and Lantia IOT (smart city initiatives). While specific student supervisees aren't listed, his active research program and teaching roles across bachelor's, master's, and PhD programs indicate significant mentoring responsibilities in computer science education. As a core member of the Data Science & Big Data Lab, Torres Maldonado contributes to predictive modeling research for massive temporal datasets. The lab maintains European Union partnerships (POCTEP-funded earthquake resilience projects) and industry collaborations focused on transforming theoretical AI advancements into practical solutions for urban infrastructure and environmental sustainability.

• Translation Studies
• Audiovisual Translation
• Interlingual and Intralingual Subtitling
• +۶ مورد دیگر

Adrián Fuentes Luque is a Professor at Pablo de Olavide University’s Department of Philology and Translation, specializing in Audiovisual Translation (AVT) and Translation Studies. His work bridges theoretical and practical aspects of subtitling, dubbing, and machine translation, with a focus on intercultural communication and accessibility.

Joaquín Nicolás Adiego Rodríguezمشاهده پروفایل

استادیار

• Information Retrieval
• Text Compression
• Natural Language Processing
• +۳ مورد دیگر

Joaquín Nicolás Adiego Rodríguez is an Assistant Professor at the School of Computer Engineering within the University of Valladolid , Spain. He is affiliated with the INSISOC research institute (certified as GIR UVa, GREX251, UIC086) and works in the Departamento de Informática (ATC, CCIA, LSI units). Education : B.Sc. in Computer Science (1999), University of Valladolid Ph.D. in Computer Science (2004), University of Valladolid (Extraordinary Doctoral Prize) His research focuses on Information Retrieval , Text Compression , and Natural Language Processing . He has conducted international collaborations at the University of Chile's Computer Science Department, a global leader in IR. His work addresses compression techniques for structured documents, bilingual texts, and semistructured collections, emphasizing algorithmic efficiency. Prominent publication trends include Lempel-Ziv algorithms , biword modeling , and structural context analysis applied to document compression and translation detection. His contributions span journals like Information Sciences and Information Processing & Management . Scientific Awards : Extraordinary Doctoral Prize (2004), University of Valladolid He collaborates with research groups such as INSISOC and has supervised projects involving computational linguistics and data optimization. No explicit details about grants or advisory roles were found in the provided texts.

Ana Zulima Iglesias Cruzمشاهده پروفایل

پژوهشگر

• Journalism
• Media Cartography
• Technological Management
• +۴ مورد دیگر

Ana Zulima Iglesias Cruz is a researcher affiliated with the Faculty of Communication at the Pontifical University of Salamanca , specializing in Journalism . She leads research in Media Cartography and Technological Management and Ethics of Knowledge , focusing on television news evolution, social media analysis, and AI applications in media. Education: PhD in Journalism from the Pontifical University of Salamanca (2004), with doctoral research on local television content in Castile and León. Her work addresses live broadcasting quality , post-truth dynamics , and media convergence , particularly in Spanish private TV networks' social media adaptation. Recent publications explore AI-driven dysphagia detection through voice analysis and ethical implications of authoritarian discourse patterns. Research trends highlight cross-disciplinary approaches integrating media ethics , technological innovation , and audience behavior . She has contributed to frameworks for evaluating live TV journalism's legal compliance and journalistic integrity. While not explicitly mentioning scientific awards, her work appears in specialized Spanish-language publications spanning 2004–2025. She collaborates within formal research teams and has participated in projects related to connected healthcare systems using IoT technology.

Luis Miguel Hernández Acostaمشاهده پروفایل

دانشیار

• Software Engineering
• Mobile Computing
• Computer Vision
• +۳ مورد دیگر

Luis Miguel Hernández Acosta serves as an Associate Professor in the Department of Telematics Engineering at the University of Las Palmas de Gran Canaria (ULPGC), affiliated with both the GIR IUMA: Information and Communications Systems research group and the IU of Applied Microelectronics. His academic work spans software engineering and telematics systems within the School of Engineering. His research interests focus on Software Engineering , Mobile Computing , and Computer Vision , with significant contributions to practical applications including web/mobile platforms for service management, computer vision for medical diagnostics, and communication systems. Current projects demonstrate strong industry alignment in restaurant management, transportation optimization, and telemedicine solutions. Analysis of recent publications reveals consistent expertise in full-stack development, real-time systems, and cross-platform frameworks, with increasing integration of machine learning techniques since 2022. Key thematic trends include Practical implementation of publish/subscribe architectures for real-time notifications Computer vision applications in medical diagnostics Optimization algorithms for transportation and service platforms Advising Activities: Supervised 28 bachelor/master theses (2021-2025) Specializes in guiding telecommunications and computer engineering students Projects span mobile development (65%), web platforms (25%), and AI applications (10%) Research Infrastructure: Works within the Department of Telematics Engineering's ecosystem, leveraging resources from both GIR IUMA and the Applied Microelectronics Institute for hardware-software integration projects.

• Artificial Intelligence
• Neural Networks
• Machine Learning
• +۱ مورد دیگر

María Dolores Afonso Suárez is a Contract Professor at the University of Las Palmas de Gran Canaria , affiliated with the Department of Information Technology and Systems . Her research focuses on Artificial Intelligence, Neural Networks, Machine Learning, and Data Engineering , as evidenced by her membership in the GIR SIANI research group and IU Intelligent Systems and Numerical Applications. Research Interests : Her work bridges theoretical and applied aspects of AI and data engineering, particularly in interdisciplinary contexts. While no specific articles are listed, her involvement in GIR SIANI highlights expertise in algorithmic models and numerical applications. Projects : She led a 2020 service contract between the Technological Institute of the Canary Islands and the University of Las Palmas de Gran Canaria to develop medical technology training infrastructure under an international program. This reflects her role in curriculum design and technology transfer. Contact : marilola.afonso@ulpgc.es

• Artificial Intelligence
• Neural Networks
• Machine Learning
• +۳ مورد دیگر

Cayetano Guerra Artal is a Professor at the Department of Informatics and Systems, University of Las Palmas de Gran Canaria. He actively contributes to the GIR SIANI research group focused on Artificial Intelligence, Neural Networks, Machine Learning, and Data Engineering. Research Focus: His work spans multiple domains including Artificial Intelligence methodologies Modular Neural Network architectures Educational content engineering Computer vision and visual tracking Data-driven learning systems Intelligent systems development Academic Contributions: His most recent 2023 thesis work on modular neural networks builds upon earlier research in educational technology (2013) and computer vision (2002). The articles demonstrate a consistent focus on AI applications and data engineering across different domains. Mentorship: Professor Guerra Artal has advised two doctoral students: David Alejandro Bolado Castle (2023) on neural network methodology María Dolores Afonso Suárez (2013) on educational content engineering

• Signal Processing
• Data Fusion
• Intelligent Transport Systems
• +۴ مورد دیگر

Luis Enrique Díez Blanco is an Assistant Professor at the University of Deusto's Faculty of Engineering, Department of Mechanics, Design and Industrial Management. He holds a PhD in Engineering for the Information Society and Sustainable Development (2019), a Master's in Communications Technologies from Polytechnic University of Madrid (2012), and a Telecommunications Engineering degree from Deusto (2005). His research focuses on signal processing and data fusion for intelligent transport systems, ambient assisted living, and wearable-based navigation. His work advances localization technologies through inertial sensors, UWB systems, and machine learning, with applications in healthcare, mobility, and resource-constrained environments. Research trends show consistent focus on hybrid positioning systems, error mitigation in wearable sensors, and practical implementations of IoT solutions. Awards: Best PhD Thesis Award (2020) First Prize in Pedestrian Dead Reckoning Competition (2016) Research recognition (Sexenio 2015-2020) He currently supervises two doctoral theses in localization systems and has led over 10 research projects including EU-funded initiatives (e.g., REACH, Modelling Emerging Transport Solutions) and industry collaborations with Mercedes-Benz and E PROCESS MED. As principal investigator of Deusto Smart Mobility research group, he coordinates work on intelligent transport and wearable technologies.

• Machine Learning
• Robotics
• Computer Vision
• +۱۲ مورد دیگر

Alberto Tellaeche Iglesias is a Lecturer at the University of Deusto's College of Engineering, Department of Computing, Electronics and Communication Technologies. He holds a Ph.D. in Systems Engineering and Automation (UNED, 2008) and an M.Sc. in Automation and Electronics Engineering (University of Deusto, 2001). With over 17 years in industrial R&D, he has worked at Tekniker Foundation (2007–2019) and led research projects under European FP7/H2020 and national programs. Ph.D., Systems Engineering and Automation, UNED (2008) M.Sc., Automation and Electronics Engineering, University of Deusto (2001) His research focuses on Machine Learning , Robotics , and Computer Vision , particularly for industrial automation and precision agriculture. He has published 15 recent papers on topics like 3D vision systems, federated learning for defect detection, and hybrid classifiers for agricultural monitoring. His work bridges Pattern Recognition and Industrial Automation , with applications in quality control, human-robot interaction, and smart cities. Grants and projects include EU-funded AI-Driven Cognitive Robotic Platforms (2021–2024), HAZITEK (2019–2022), and national initiatives like Edge Technologies for Industrial Distributed AI (2021–2024). He has supervised the thesis 'Progress in Industrial Photogrammetry' (2019) and serves on doctoral committees. He previously worked at Tekniker Foundation's Smart and Autonomous Systems unit and is part of interdisciplinary teams integrating 3D Vision and Deep Learning for industrial applications.

• Internet of Things (IoT)
• Artificial Intelligence
• Sustainable Computing
• +۷ مورد دیگر

Diego Lopez De Ipiña Gonzalez De Artaza is a researcher at the Department of Computing, Electronics and Communication Technologies within the University of Deusto's College of Engineering. His work spans interdisciplinary domains such as the Internet of Things (IoT), Artificial Intelligence (AI), and Ambient Intelligence, focusing on human-centric systems and sustainable technologies. Research Trends : Recent publications highlight AI applications in geriatric health assessment, energy-efficient building systems, and citizen science platforms. His work integrates sensor data, context-aware reasoning, and machine learning for smart cities and edge intelligence. Scientific Awards : No specific awards mentioned in the provided text. Advising : Supervised 15+ theses in areas like IoT protocols, context-aware systems, AI interpretability, and smart mobility solutions. Congress Participation : Active in conferences addressing human-AI collaboration, micro-volunteering for environmental monitoring, and adaptive educational technologies. His contributions emphasize scalable architectures for remote laboratories, uncertainty reasoning in intelligent environments, and privacy-preserving IoT frameworks, reflecting a commitment to bridging theoretical research with real-world applications in smart communities.

• Smart Grids
• Energy Consumption Modeling
• Urban Mobility
• +۴ مورد دیگر

Cruz Enrique Borges Hernandez is a Professor at the Faculty of Engineering, University of Deusto, specializing in computational approaches to energy systems and urban sustainability. His research integrates data science, agent-based modeling, and behavioral analysis to address critical challenges in smart grids, energy consumption patterns, and urban mobility. His primary research interests include: Smart grid optimization and electricity demand forecasting Urban mobility modeling and 15-minute city concepts Behavioral interventions for energy efficiency in buildings Cross-generational climate change perception studies Blockchain applications for peer-to-peer energy markets His recent publications demonstrate strong trends in applying machine learning to smart meter data analysis, developing agent-based simulations for urban systems, and examining socio-technical aspects of energy transitions. Key methodological contributions include cascading models for behavioral nudges and novel approaches to electricity consumption typology derivation. As an active researcher in EU-funded projects, he bridges technical energy modeling with social science perspectives, creating policy-relevant outputs that address both engineering challenges and human behavior aspects of sustainability transitions. His work emphasizes practical implementation through platforms like GreenSoul for building energy monitoring and GTPlat for transport planning simulations.

• Human-AI Interaction
• Edge Computing
• Workplace Wellness Technology
• +۳ مورد دیگر

Oihane Gomez Carmona is a dedicated researcher at the Faculty of Engineering, University of Deusto, specializing in human-AI interaction systems and edge computing applications. Her work bridges computer science with practical implementations in workplace wellness, smart cities, and behavioral change technologies. Affiliated with multiple European research consortia, she actively contributes to Horizon 2020/Europe projects driving digital transformation. Her research focuses on privacy-preserving IoT architectures , adaptive machine learning systems , and community-centric digital solutions . Key themes include optimizing computational resources at the edge, designing ethical behavioral nudges, and developing micro-volunteering frameworks for environmental monitoring. Her work consistently addresses the human factor in technology adoption, particularly in workplace wellness programs and rural community engagement. Gomez Carmona's publication trends reveal strong emphasis on Human-in-the-loop machine learning (2022-2024) Energy-efficient behavioral systems (2023-2024) Rural digital transformation (2022-2024) Privacy-by-design architectures (2020-2021) with increasing focus on EU-funded large-scale deployments since 2021. Her scientific contributions are supported by significant European funding: AURORAL (2021-2025): €7M EU project for rural digital ecosystems REACH (2020-2024): €11M data value chain incubator WOSOCIEBE (2021-2024): €5M city observation project DEUSTEK (2022-2025): Basque government research grant She actively collaborates with the Deustek research group and participates in cross-institutional teams developing citizen science platforms, workplace wellness systems, and smart city furniture. Current projects include Food Assistant (consumer behavior change) and EngageMate (classroom interaction analytics), demonstrating her commitment to socially impactful technology design.

• Tax Law
• International Fiscal Cooperation
• AI in Public Administration
• +۳ مورد دیگر

María Amparo Grau Ruiz is a Professor at the Department of Financial and Tax Law, Complutense University of Madrid. Her work bridges tax law with emerging technologies, focusing on AI applications in public expenditure auditing and sustainability-driven fiscal policies. Complutense University of Madrid – Department of Financial and Tax Law Author in Deusto Journal of Human Rights , Spanish Journal of External Control , and Tax Technical Magazine Researcher on EU tax harmonization and digital economy taxation Her research explores AI integration in tax administration , sustainability-focused fiscal instruments , and robotics governance . Articles address technical challenges like DAC6 transposition, carbon taxation frameworks, and digital economy taxation. Collaborations with Rita de la Feria and Yolanda Sánchez-Urán Azaña highlight interdisciplinary approaches to tax policy and labor dynamics. Key themes include: AI in Public Finance: Ethical implications of algorithmic budgeting and auditing Sustainability Taxation: Carbon credits, energy-efficient housing incentives Digital Economy: Taxation of digital services, platform economy regulations Robotics: Social security implications, fair taxation of automation