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Matteo BonforteView profile

Professor

• Nonlinear Partial Differential Equations
• Nonlocal Partial Differential Equations
• Functional Inequalities
• +3 more

Matteo Bonforte is a Full Professor at the Department of Mathematics, Universidad Autónoma de Madrid, and a faculty member of the Institute of Mathematical Sciences (ICMAT). He co-leads the research group PID2023-150166NB-I00 on Nonlinear PDEs and has co-organized major events like the 2023 Thematic Period on PDEs in Madrid. He serves on the editorial board of Nonlinear Analysis: Real World Applications . Current Position: Full Professor, Universidad Autónoma de Madrid Research Focus: Nonlinear/nonlocal PDEs, functional inequalities, entropy methods Key Grants: Spanish government-funded research group PID2023-150166NB-I00 His research spans asymptotic behavior, Harnack inequalities, regularity theory, and geometric applications of nonlinear diffusion. Recent work includes fractional porous medium equations and time-fractional models. His publications (over 50) emphasize quantitative estimates and stability in inequalities. Notable collaborations include Alessio Figalli, Gabriele Grillo, and Juan Luis Vázquez. He teaches advanced courses in calculus, partial differential equations, and mathematical analysis at both undergraduate and master's levels.

• Signal Processing
• Data Fusion
• Intelligent Transport Systems
• +4 more

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
• +12 more

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
• +7 more

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
• +4 more

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
• +3 more

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.

• Quantitative Finance
• Computational Finance
• Financial Economics
• +3 more

Julián Andrada Félix is a Professor at the University of Las Palmas de Gran Canaria , affiliated with the Department of Quantitative Methods in Economics and Management . His email is julian.andrada@ulpgc.es . His work focuses on quantitative and computational finance, integrating statistical methods with economic and business applications. Research Interests: Quantitative Finance Computational Finance Risk Management Sustainable Development in Economic Contexts He has advised numerous undergraduate and graduate theses in economics and business administration, covering topics such as portfolio optimization, financial crisis prediction, and sustainable festival economics. His research projects include New Quantitative Methods for the Analysis of Foreign Exchange Markets (funded by the Island Council of Gran Canaria) and New Methodologies for ETT Estimation (funded by Spain's Ministry of Science and Innovation).

• Tax Law
• International Fiscal Cooperation
• AI in Public Administration
• +3 more

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

Jose M. JuarezView profile

Professor

• Medical Artificial Intelligence
• Explainable Artificial Intelligence
• Machine Learning in Healthcare
• +3 more

Jose M. Juarez is a Full Professor at the University of Murcia specializing in Artificial Intelligence for healthcare applications. He leads the MedAI Lab and coordinates the university's AI master studies program, bridging cutting-edge AI research with clinical practice to enhance healthcare delivery. His research centers on Medical AI and Explainable AI (XAI), developing machine learning, reinforcement learning, and deep learning solutions for real-world clinical challenges including hospital outbreak management, antibiotic resistance phenotyping, and interpretable diagnostic systems. This work prioritizes transparency in AI decision-making to build clinician trust and improve patient outcomes. Recent publications (2025) reveal a concentrated focus on spatiotemporal epidemiological modeling, with innovations in infection spread visualization, patient trajectory analysis, and subgroup discovery for antimicrobial resistance. His work consistently integrates healthcare informatics with advanced AI to address urgent clinical needs. Key recognitions include: Best Paper Award at AIME (2025) Best paper student award HealthInf (2024) Dr. Juarez maintains an active PhD supervision program across AI and Medical Informatics, mentoring students on hospital outbreak simulation, patient phenotyping, and antimicrobial stewardship. His former students hold positions at NTT Data, Savana (as CTO), and academic institutions. AI PhD Cohort: Denisse M. Kim (2024), Antonio Lopez Mtnez-Cararasco (2024), Isidoro Casanova (2023), Eduardo Lupiani (2014) Medical Informatics PhD Cohort: Lorena Pujante (2025), Natalia Iglesias (2021), Bernardo Canovas-Segura (2019) He directs the MedAI Lab which develops deployable AI tools for healthcare institutions, and co-founded both the Spanish Society of AI in Biomedicine (2023) and the XAI-Healthcare workshop (2021) to advance community collaboration in clinical AI research.

Christian RathgebView profile

Professor

• Biometrics
• Iris recognition
• Face recognition
• +3 more

Christian Rathgeb is a Professor with the Faculty of Computer Science at Hochschule Darmstadt, Germany, serving as a Principal Investigator in the National Research Center for Applied Cybersecurity (ATHENE) and Program Chair of the International Conference of the Biometrics Special Interest Group (BIOSIG). His research bridges theoretical foundations and practical security applications in biometric systems. Rathgeb's work focuses on biometrics with expertise in iris and face recognition systems, privacy-enhancing technologies, and template protection. His research addresses critical challenges including demographic bias in biometric systems, vulnerability to morphing attacks, and privacy concerns in biometric applications. Notably, his recent work explores synthetic data generation for improving recognition systems and developing robust methods for detecting face manipulation. Analysis of his recent publications reveals a strong trajectory toward addressing emerging threats in biometric security, particularly deepfakes and digital face manipulation. His research increasingly integrates privacy considerations with system performance, reflecting the growing societal importance of ethical biometric applications. The work demonstrates both theoretical rigor and practical implementation value. Member of the European Association for Biometrics (EAB) Member of the IET Biometrics Editorial Board Developer of USIT – University of Salzburg Iris Toolkit v2.0 Author of one of the most downloaded IEEE-TIFS papers Professor Rathgeb actively supervises master's and bachelor's students, with recent successful thesis defenses by Hans Heje and Maciej Salwowski. His student Mathias Ibsen received the Best HAW Promotion Award, highlighting the quality of research conducted under his guidance. Rathgeb maintains extensive collaborations with researchers across Europe, particularly with Christoph Busch and other members of the international biometrics community. As Principal Investigator at ATHENE, Rathgeb leads research teams developing practical security tools with emphasis on privacy-preserving techniques. His group contributes to international standards in biometric security and regularly addresses real-world challenges in authentication systems.

• Computer Science
• Speech Synthesis
• Traffic Noise
• +5 more

Francesc Alias Pujol is a Professor at the La Salle School of Engineering , part of Universitat Ramon Llull , specializing in Human-Environment Research . His work bridges Computer Science and Environmental Noise through advanced Speech Synthesis and Voice Quality Simulation techniques.

• Open Innovation
• Smart Cities
• Artificial Intelligence
• +4 more

Esteve Almirall Mezquita is a Full Professor in the Department of Operations, Innovation and Data Sciences at Esade School of Business Administration and Management . He actively contributes to the Institute for Innovation and Knowledge Management (IIK) and focuses on interdisciplinary research at the intersection of smart cities, open innovation, and digital governance. Primary Affiliation: Esade School of Business Administration and Management Research Focus: Open Innovation in Smart Cities, Blockchain for Urban Energy Transition, Artificial Intelligence Applications His research explores how technology reshapes corporate leadership and urban governance. Recent work includes blockchain implementation for energy transition in cities and synthetic data utilization in smart city digital twins. Key projects include: DigitalWORK (2024-2027): Fair digitization of work through algorithmic transparency LABORAlgorithm (2019-2022): Legal frameworks for automated decision-making in labor contexts INVITE (2017-2021): Mathematical models for smart city decision-making

• Quantum Information Theory
• Quantum Mechanics
• Quantum Computing
• +3 more

Ranieri Nery is a Researcher at the Institute of Photonic Sciences (ICFO), affiliated with the Quantum Information Theory research group. He holds a PhD in Physics from Universidade Federal do Rio de Janeiro (Brazil). His primary role involves advancing theoretical and foundational aspects of quantum mechanics, with a focus on nonlocality, entanglement, and quantum causality. Key research interests include quantum nonlocality beyond Bell scenarios, quantum causal structures, device-independent protocols, and applications of quantum information to finance. He has contributed to frameworks for quantifying quantum resources like nondivisibility and ergotropy, as well as developing witnesses for nonclassicality in causal networks. His recent work (2020–2025) explores novel paradigms in quantum communication complexity, quantum thermodynamics, and foundational questions about event nonabsoluteness. Notable contributions include methodologies for classicality certification and semi-device-independent entanglement verification in superdense coding. Nery’s research integrates abstract theoretical concepts with practical applications, such as quantum finance tutorials and experimental validations of multipartite steering. His studies often bridge quantum foundations with quantum technologies, emphasizing operational approaches to quantum phenomena.

Francesc J. FerriView profile

Professor

• Computer Vision
• Pattern Recognition
• Machine Learning
• +7 more

Francesc J. Ferri is a Professor in the Department of Computer Science at the University of Valencia since 2008. He holds a Licenciado in Physics (1987) and a Ph.D. in Pattern Recognition (1993) from the same university. His research focuses on Computer Vision, Pattern Recognition, and Machine Learning, with contributions to subspace learning, metric learning, and kernel methods. He has authored/co-authored ~140 papers (h-index=11 as of 2011), with notable work on feature selection and large-scale classification. Education: Licenciado in Physics (1987), Ph.D. in Pattern Recognition (1993), both from University of Valencia. Affiliations: Member of AERFAI, IAPR, ACM, IEEE. Teaching includes courses on Automata Theory, Algorithms, Computer Vision, and Pattern Recognition at undergraduate and graduate levels. He has advised multiple Ph.D. and MSc students, including Adrian Perez-Suay (metric learning) and Katerine Diaz-Chito (subspace-based image recognition). Research projects include sabbaticals at Surrey University (1993) and Michigan State (2005), and collaborations on audio event detection, bioinformatics, and e-learning systems. His recent work addresses explainable AI, edge computing for safety systems, and multidataset HRTF analysis.

• Distributed Computing
• Cloud Computing
• Edge Computing
• +4 more

Rafael Moreno Vozmediano is an Associate Professor at the Department of Computer Architecture and Automation, Faculty of Informatics, Complutense University of Madrid. His research focuses on distributed systems, cloud computing, and edge computing, with a particular emphasis on federated cloud networking, resource management, and high-performance computing. He has led or contributed to numerous EU-funded projects, including BEACON, PANACEA, and RESERVOIR, which address challenges in cloud federation, autonomic resource management, and virtualization technologies. He is a co-founder of the OpenNebula cloud management platform, widely adopted in industry and research. He has collaborated with organizations like EADS, Oracle, Microsoft, and NASA, emphasizing applied research and industry transfer. His academic contributions span over 50 publications, with recent work addressing edge-cloud architectures, serverless computing for Mars mission data analysis, and latency-optimized distributed systems. Awards and recognitions include leadership roles in the Globus Alliance, Open Grid Forum, and NESSI Initiative, where he contributed to defining future ITC infrastructure standards. His teaching spans computer architecture and distributed systems at the undergraduate and graduate levels. Current research activities include data-centric cloud architectures, edge analytics for IoT, and federated cloud networking. He actively participates in grants such as EDGEDATA and IN-TIME, focusing on decentralized edge-cloud infrastructures and Mars-Earth dating applications.