جست‌وجوی استاد و پژوهشگر

Carolina Daniaمشاهده پروفایل

پژوهشگر

• Software Engineering
• Formal Methods
• Security
• +۳ مورد دیگر

Dr. Carolina Dania is a Researcher at the IMDEA Software Institute in Madrid, Spain. She holds a PhD in Computer Science from the Universidad Complutense de Madrid (2017) and prior degrees from the Universidad Nacional de Córdoba, Argentina. Her research focuses on software engineering, formal methods, and security, with an emphasis on tool development for secure software systems. Education: Bachelor's in Computer Science (2008), UNC, Argentina Master's in Research in Computer Science (2011), UCM, Spain PhD in Computer Science (2017), UCM, Spain Research interests include model-driven engineering, formal verification of UML/OCL constraints, and secure cloud applications. Key tools developed include MySQL4OCL, OCL2FOL+, and SQL-PL4OCL, which translate OCL constraints into executable code or logical formulas for automated analysis. She has contributed to projects like the Core Security Metamodel (CSM) for cloud applications and the ActionGUI toolkit. Publications span conferences like MODELS, FASE, and IEEE Transactions on Software Engineering, focusing on OCL mappings, SMT-based verification, and secure data-management systems. She has organized workshops and participated in initiatives like the NESSoS EU project.

• Intelligent Agents
• Distributed Artificial Intelligence
• Multiagent Systems
• +۸ مورد دیگر

Javier Vazquez Salceda , Senior Lecturer at Universitat Politècnica de Catalunya (UPC), is affiliated with the School of Computer Science and the Department of Computer Science. His research spans intelligent agents, smart cities, and socio-technical systems. Key Projects: HUB D'INNOVACIÓ PEDIÀTRICA, XARXES R+D+I in health technologies, and AI-on-demand platforms. Collaborations: Active in IDEAI-UPC (Intelligent Data Science and AI Research Group) and KEMLG (Knowledge Engineering and Machine Learning Group). Research Focus: Agent-based modeling, normative systems, and distributed AI applications in healthcare and urban planning. He explores how multiagent systems can address socio-technical challenges through projects like wastewater management simulations and organ transplant coordination tools. Academic Engagement: Published extensively in journals like Artificial Intelligence and Law and IEEE Intelligent Systems , with a focus on middleware architectures, electronic institutions, and provenance systems. His work bridges theoretical AI with real-world implementations. Contact: Email jvazquez@lsi.upc.edu , ORCID 0000-0003-1732-9446 , Scopus ID 6602325102 .

• Quantitative Finance
• Information Theory
• Econophysics
• +۳ مورد دیگر

Aurelio F. Bariviera is an Associate Professor of Economics and Financial Mathematics at Universitat Rovira i Virgili, Spain, and a Visiting Professor at Universidad Nacional de La Plata, Argentina. He holds a PhD from Universitat Rovira i Virgili, following postgraduate studies at Università degli Studi di Padova and an undergraduate degree from Universidad Nacional de La Plata. His research focuses on quantitative finance, information theory, econophysics, and financial econometrics. Notably, two of his papers (2017) in Economics Letters and Physica A were recognized as Highly Cited Papers in Web of Science. Education: Bachelor’s Degree: Universidad Nacional de La Plata (Argentina) Postgraduate Diploma: Università degli Studi di Padova (Italy) PhD: Universitat Rovira i Virgili (Spain) Research Interests: Quantitative Finance Information Theory and Entropy Applications Econophysics and Financial Networks Cryptocurrency Market Dynamics Machine Learning in Finance Policy Uncertainty Analysis Recent Article Trends: Focus on cryptocurrency interconnections, market shocks, and regulatory frameworks Analysis of commodity and policy uncertainty impacts using wavelet and copula techniques Applications of clustering and machine learning in financial forecasting Awards: Highly Cited Paper in Web of Science (2017): Economics Letters Highly Cited Paper in Web of Science (2017): Physica A Advising & Grants: Consortium on Cloud Computing, Big Data & Emerging Topics Research projects on cryptocurrency regulation, trajectory clustering, and renewable energy forecasting Labs/Teams: Active in interdisciplinary teams applying data science to finance, transportation systems, and astronomy digitization.

• Computational Engineering
• Numerical Methods for PDEs
• High-order Methods
• +۶ مورد دیگر

Matteo Giacomini is an Associate Professor of Computational Engineering at Universitat Politècnica de Catalunya (UPC), affiliated with the Laboratori de Càlcul Numèric (LaCàN). He is also an affiliated researcher at CIMNE (Severo Ochoa Excellence Centre) and affiliated faculty at IMTech (Institute of Mathematics of UPC-BarcelonaTech). His research focuses on numerical methods for PDEs, including high-order and low-order methods, error estimation, and reduced-order modeling. Applications span computational fluid dynamics, solid mechanics, image segmentation, and industrial sustainability. Education : PhD in Applied Mathematics, École Polytechnique (2016) MSc & BSc in Mathematical Engineering, Politecnico di Milano (2013 & 2010) Research Interests : High-order methods: finite element, discontinuous Galerkin Error & adaptivity: a posteriori estimates, mesh adaptation Dimensionality reduction: reduced order models, scientific ML PDE-constrained optimization: topology/shape optimization Software development: open-source CSE tools Recent Work Trends : Recent articles emphasize multi-fidelity surrogate modeling, domain decomposition for parametric PDEs, and robust finite volume methods for incompressible/compressible flows. He also contributes to HDG method implementations (e.g., HDGlab) and industrial applications of CFD. Labs & Affiliations : LaCàN - UPC CIMNE - Innovative Algorithms & Credible Data-Driven Models groups IMTech - Mathematical Modelling research line

• Electric Markets
• Energy Economics
• Integration of Renewable and Distributed Energy Resources
• +۴ مورد دیگر

Marco Galici is a postdoctoral Researcher at the Technological Research Institute (IIT) of the School of Engineering (ICAI) at Comillas Pontifical University. He joined the institute on 26 April 2025, specializing in Distributed Resources, Networks, and Flexibility. He earned his Ph.D. in Industrial Engineering (Doctor Europaeus) from the University of Cagliari (Italy) in February 2024 with honors, following his 2020 degree from the same institution. His research focuses on electricity markets for integrating renewable energy, decentralized technologies like Distributed Ledger, and decarbonizing electrical systems . His work examines uncertainty management, transactive energy systems, and blockchain applications in smart cities. The 15 most recent publications highlight his expertise in peer-to-peer energy trading, robust optimization, and decentralized control mechanisms. Marco's technical skills include reinforcement learning , blockchain development (Hyperledger, Solidity), and tools like MATLAB/Python. While he hasn't received specific scientific awards yet, his contributions span conferences in Greece, UK, USA, Italy, Portugal, and China, demonstrating international collaboration.

José María Alonso Moralمشاهده پروفایل

دانشیار

• Explainable Artificial Intelligence
• Trustworthy AI
• Machine Learning
• +۳ مورد دیگر

Dr. José María Alonso Moral is an Associate Professor at the Department of Electronics and Computation of CiTIUS-USC (Research Center for Intelligent Technologies) at the University of Santiago de Compostela. With a PhD in Telecommunication Engineering from Universidad Politécnica de Madrid (2007) and a 'Doctor Europeus' distinction, he has held prestigious positions including Ramón y Cajal researcher (2018-2022), Juan de la Cierva postdoctoral researcher (2012), and served as President of the European Society for Fuzzy Logic and Technology (EUSFLAT) and Vice-Chair of IEEE Computational Intelligence Society's Explainable Fuzzy Systems Task Force. IEEE Senior Member Associate Editor: IEEE Computational Intelligence Magazine (Q1) and International Journal of Approximate Reasoning (Q2) Board Member: ACL SIGGEN (2019-2022) His research focuses on Explainable AI and Trustworthy Artificial Intelligence , particularly through interpretable fuzzy systems and natural language generation. Key contributions include the ExpliClas web service for decision tree explanations and JFML library for IEEE 1855-2016 fuzzy system modeling. Recent publications examine counterfactual explanations, fuzzy temporal constraint networks, and feature attribution faithfulness metrics. He leads projects like TRUST (Trustworthy AI) and ReproHum (NLP Evaluation Reproducibility), emphasizing human-centered AI design and cross-disciplinary applications in healthcare and education. As an educator, he developed high school workshops on explainable AI fundamentals through CiTIUS-USC's STEM outreach program. His technical work includes developing explainable classifiers for Alzheimer's disease progression and implementing fuzzy logic systems in embedded platforms like Arduino and Raspberry Pi.

• Educational Technology
• Augmented Reality in Education
• STEM Learning
• +۴ مورد دیگر

MARIA BLANCA IBAÑEZ ESPIGA is an Associate Professor at the Telematics Engineering Department of Carlos III University of Madrid , specializing in educational technology and immersive learning environments. Her research focuses on integrating augmented reality (AR), virtual reality (VR), and artificial intelligence (AI) into educational practices to enhance student engagement and learning outcomes. Research Focus: Dr. Ibañez Espiga explores the application of augmented reality in STEM education, gamification for learning activities, and learning analytics to model student behavior in immersive systems. She has developed tools like BabloXR for WebXR applications, XploRe for solar system education, and Reaq for chemistry tutoring, demonstrating her commitment to innovative pedagogical solutions. Publications: Recent work includes studies on generative AI in education , cloud-based universities , and AR simulations in problem-based learning . Her research spans from 2010 to 2025, showing sustained contributions to technology-enhanced learning methodologies. Labs & Teams: She is affiliated with the eMadrid Network , a research group focused on learning methodologies, gamification, and quality in educational technology. Her projects often involve interdisciplinary collaboration, leveraging telematics engineering to create scalable educational solutions.

Miguel Á. Delgadoمشاهده پروفایل

استاد

• Econometrics
• Non-Parametric Models
• Semi-Parametric Models
• +۳ مورد دیگر

Miguel Á. Delgado is a Professor of Econometrics at Universidad Carlos III de Madrid, holding a Ph.D. in Economics from the London School of Economics. Previously, he served as an Assistant Professor at Indiana University. His academic roles include Editorships for journals like Econometric Theory and Journal of Econometrics . He has supervised 13 doctoral theses and teaches courses in Statistics and Econometrics across undergraduate and graduate levels. Education: Ph.D. in Economics (London School of Economics), Previous Position: Assistant Professor at Indiana University His research focuses on econometric methodologies in non-parametric and semi-parametric models, with publications in top-tier journals such as Econometrica and Journal of the American Statistical Association . Recent work integrates machine learning and generative AI into educational technology, addressing challenges in hybrid learning environments, MOOCs, and predictive student analytics. Publications highlight innovations in exercise modeling, telepresence classrooms, and AI-driven feedback systems, reflecting a dual focus on econometric theory and applied educational technology. Key Projects: Development of tools like ABENEARIO for early math education, and involvement in initiatives like PROF-XXI to enhance teaching competencies in the 21st century.

• Data Quality
• Software Quality and Measurement
• Business Intelligence
• +۶ مورد دیگر

Manuel A. Serrano is a Professor at the School of Computer Science, University of Castilla-La Mancha, Spain. With over 25 years of professional experience including industry roles as programmer/web designer and secondary school teacher, he has been a full-time researcher in the Alarcos group since 2000. Currently coordinates professional practice programs in Computer Engineering. Education : PhD in Computer Engineering (2004, UCLM, cum laude) Research Interests : Data quality, quantum software engineering, business intelligence, Big Data security, IoT, and AI ethics His research spans two major domains: Quantum Computing : Pioneering quantum software engineering, developing testing methodologies, assertion frameworks, and hybrid system guidelines Cybersecurity : Creating security reference architectures for Big Data and automotive systems, with focus on quantum security integration Recent publications demonstrate these interests through: Quantum algorithm verification techniques Security frameworks for automotive systems Ethical AI methodology development Big Data risk analysis patterns Scientific achievements include: 24 JCR-indexed journal articles Over 50 SCI-category conference papers 3 research six-year periods Best Scientific Article Award at JNIC 2018 Research leadership: Coordinated regional project with University of Alicante Principal investigator for national project QUASIMODO Contributor to 20+ national/regional and 3 international projects (SDGear, DQIoT, Di4SPDS) Industrial collaborations with INDRA on ORIGIN and LPS-BIGGER projects Additional qualifications: Professional Scrum Manager certification Cambridge C1 English certification Spin-off participation in AQCLabs and DQTeam

María Encarnación Beato Gutiérrezمشاهده پروفایل

استاد

• Computer Science
• Artificial Intelligence
• Internet of Things (IoT)
• +۷ مورد دیگر

María Encarnación Beato Gutiérrez is a Professor of Computer Science and Artificial Intelligence at the School of Computer Science , Pontifical University of Salamanca . She leads the MARATON research group, focusing on disruptive technologies like the Internet of Things (IoT), semantic technologies, open data, and data processing. Her work addresses societal needs in the technological revolution through research, innovation, and development in these domains. Her research spans IoT frameworks, event-driven architectures, semantic data integration, and AI ethics. Notable projects include frameworks for smart tracking (SCIFI series), capacity control systems using BLE technology, and semantic tools for university transparency. Her publications highlight trends in IoT, AI ethics, and open data applications. The MARATON group collaborates on projects like UPSA-INNOVA , integrating mobile technologies and semantic solutions for e-learning and university innovation. Her work also explores human-computer interaction, software engineering, and the societal impact of AI. She earned her PhD from the University of Valladolid in 2004, with a thesis on Formal Verification of UML under the supervision of Dr. Manuel Barrio Solórzano and Dr. Carlos Enrique Cuesta Quintero.

• Educational Technology
• Serious Games
• Game-Based Learning
• +۷ مورد دیگر

Manuel Freire Morán is a Researcher at the Complutense University of Madrid , affiliated with the School of Informatics and the Department of Software Engineering and Artificial Intelligence . His work focuses on Educational Technology , Serious Games , and Learning Analytics , with a particular emphasis on leveraging game-based learning to address challenges in education and healthcare. Role : Researcher in software engineering and AI, specializing in educational games and analytics. Research Highlights : Development of frameworks like EGDA for healthcare education, evidence-based evaluations of serious games, and tools for analyzing player behavior in game-based learning environments. Interdisciplinary Work : Contributions to medical research via clinical studies on lupus treatments, albeit likely secondary to his primary educational technology focus. Publication Trends : Recent work centers on Game Learning Analytics (2022), predictive modeling of student knowledge (2019), and the integration of gamification into MOOCs (2015). His research consistently bridges Game Design , Data Mining , and Educational Assessment , with applications ranging from bullying awareness to procedural healthcare training.

Alexandra Delgado Jiménezمشاهده پروفایل

پژوهشگر

• Urban Planning
• Energy Transition
• Climate Change Mitigation
• +۳ مورد دیگر

Alexandra Delgado Jiménez is a faculty member at the Higher Polytechnic School of Universidad Nebrija , specializing in Urban and Regional Planning. She leads research within the At-the-oUTSET Nebrija Research Group on Architecture and Urbanism in the face of Social, Economic and Territorial Transformations , focusing on energy transition, climate change, and sustainable urban development. Doctor from Universidad Politécnica de Madrid (2012) Supervised by Dr. Fernando Roch Peña Her recent work explores carbon footprint methodologies, renewable energy integration in urban areas, and community-led initiatives for social justice. She has contributed to case studies in Madrid and Mediterranean regions, emphasizing digitalization and policy innovation in placemaking. Her email is adelgado@nebrija.es .

• Data compression
• Data structures
• Algorithm analysis
• +۴ مورد دیگر

Susana Ladra González is a Researcher at the University of A Coruña , affiliated with the Faculty of Computer Science and the Department of Computer Science and Information Technology . Her work focuses on Data Compression, Data Structures, Bioinformatics Algorithms, Databases, Data Mining, and Information Retrieval . Over 3 research six-year terms Supervised 2 doctoral/master's theses Research Trends : Recent publications span Data Warehousing , Blockchain Analysis , COVID-19 Wastewater Surveillance , Genomic Data Analysis , and Business Intelligence Applications across healthcare, sports, and environmental domains. Grants : Principal Investigator in projects funded by the Spanish Foundation for Science and Technology (FECYT) , European Union , Ministry of Science and Innovation , and regional agencies like the Galician Innovation Agency . Education & Supervision : Directed theses on topics including Blockchain Analysis , Data Warehousing , and Genomic Surveillance , with students such as Noelia Trigo Tasende and Fernando Silva Coira .

Leocadio Hontoria Garcíaمشاهده پروفایل

استاد

• Photovoltaic Solar Energy
• Solar Radiation Modeling
• Artificial Neural Networks
• +۳ مورد دیگر

Leocadio Hontoria García serves as Full Professor in the Department of Electronic and Automatic Engineering at the Higher Polytechnic School of the University of Jaén, Spain, where he has maintained an active academic position since 2003. His career bridges advanced research in solar energy systems with innovative educational practices in engineering disciplines. Academic Background: PhD in Physical Sciences, University of Jaén (2002) Hontoria's research program focuses on applying artificial neural networks to solve critical challenges in solar energy utilization, particularly in photovoltaic system design, solar radiation modeling, and renewable energy integration. His work demonstrates exceptional continuity in merging computational intelligence with practical energy solutions, establishing him as a leading specialist in solar resource assessment methodologies. Analysis of his recent publications reveals a strategic evolution toward educational innovation and real-world implementation. While maintaining core expertise in neural network applications for solar radiation prediction, his current work emphasizes urban photovoltaic integration, entrepreneurship education for engineers, and open-access educational resources. This shift reflects growing institutional priorities around sustainable development and practical skill transfer. Research Leadership: Principal Investigator for approximately 50 funded research projects and contracts Director of the Laboratory of Electrical and Electronic Engineering Applied to Solar Energy Extensive collaboration with industry partners in renewable energy sector Hontoria maintains active leadership in the Laboratory of Electrical and Electronic Engineering Applied to Solar Energy, where his team develops practical solutions for solar energy monitoring, system optimization, and educational tool creation. Current initiatives include IoT-based photovoltaic monitoring systems and open-source simulation platforms for engineering education.

• Sustainable HCI
• Persuasive Technologies
• Behavior Change Technologies
• +۳ مورد دیگر

Dr. Diego Casado Mansilla is a Researcher at the MORElab group within the Department of Computing, Electronics and Communication Technologies at the College of Engineering, University of Deusto. His work bridges Sustainable Human-Computer Interaction (HCI), Persuasive Technologies, and Internet of Things (IoT) systems to drive behavior change in energy consumption, urban sustainability, and STEM education accessibility. Education: PhD in Persuasive Technologies for Sustainability and Behavior Change (2016), University of Deusto His research spans two decades, focusing on Sustainable Design , Physical Interaction with Everyday Objects , and Human-Centric IoT Systems . He has led projects like Suggestive Autonomy (2016) and co-led GreenSoul (2017, 2019), which employ IoT for energy awareness in public buildings. Current projects include AmIAire (air quality monitoring) and Urban Adaptation and Alert Solutions (climate resilience, 2024-2028). Key trends in his 20+ publications (2012-2025) include: Energy efficiency in tertiary buildings and smart cities IoT protocols (CoAP, IEC 61850) for industrial and urban systems Behavioral economics and nudging for sustainable decisions Rural STEM education via remote experiments Privacy-preserving smart workplace systems Climate change perception studies across generations His supervised theses and projects address User Diversity , Edge Computing , and Industry 4.0 Adoption . He collaborates with European institutions on grants from the Ministry of Science and Innovation and European Commission , contributing to citizen science initiatives like SOCIO-BEE and educational tools such as EngageMate and Computario .