جست‌وجوی استاد و پژوهشگر

Pablo Aragónمشاهده پروفایل

استاد مدعو

• Computational Social Science
• Social Computing
• Wikipedia Studies
• +۴ مورد دیگر

Pablo Aragón is a Research Scientist at the Wikimedia Foundation and an Adjunct Professor at Universitat Pompeu Fabra. His work bridges computational social science, civic technology, and technopolitics, with a focus on Wikipedia's governance, digital democracy tools, and participatory systems. He co-founded the Democratic Innovation Lab in Barcelona and the DatAnalysis15M research network. Key research interests include analyzing knowledge integrity in Wikipedia, configuring digital participatory budgeting systems, and studying platform effects in civic technologies. He has led projects like DECODE (decentralized citizen engagement) and contributed to platforms like Decidim, which empower participatory democracy in cities like Barcelona. Recent conference engagements include KDD 2024 (data mining), ICWSM 2024 (social media analysis), and Wikimedia CEE Meeting 2024. His work emphasizes cross-cultural collaboration, with studies published in ACM Transactions on Computer-Human Interaction and peer-reviewed conferences like CIKM and ACM SIGKDD. Professional affiliations include the Decidim association, Amnistía Internacional España, and the open knowledge advocacy group Civio. His research often intersects with open science, free culture movements, and gender equity in urban mobility.

Paolo Rotaمشاهده پروفایل

استادیار

• Computer Vision
• Machine Learning
• Multimodal AI
• +۹ مورد دیگر

Paolo Rota is a tenure-track Assistant Professor at the University of Trento, affiliated with the Department of Information Engineering and Computer Science (DISI) and the Center for Mind/Brain Sciences (CIMeC). His research lies at the intersection of computer vision, machine learning, and multimodal AI, with a strong emphasis on vision-language models and activity recognition. His research interests include zero-shot action recognition, temporal action localization, open-world recognition, and person image synthesis. He explores how large multimodal models can be leveraged for practical applications in video analytics and industrial AI, often developing training-free or source-free adaptation methods that improve model generalization. Recent publications show a consistent trend in utilizing large vision-language models (e.g., CLIP, LMMs) for tasks such as image classification, domain adaptation, and action recognition, emphasizing simplicity, zero-shot capabilities, and real-world applicability. His work frequently appears in top venues including CVPR, NeurIPS, ICCV, and ICIAP. He actively mentors PhD students including Benedetta Liberatori, Jiaqi Liu, Yan Shu, Shiyao Xu, and Alessandro Conti, often co-advising with faculty such as Elisa Ricci and Nicu Sebe. He also contributes to teaching, including delivering lectures on machine learning for the MSc in Data Science program. He co-founded Mountain Maps, a startup using AI to enhance outdoor navigation and mountain exploration. His work bridges academic research and practical innovation, aiming to increase the real-world impact of AI systems.

• Educational Technology
• Virtual Reality in Education
• Augmented Reality in Education
• +۶ مورد دیگر

Rafael Villena Taranilla is a Professor at Camilo José Cela University (UCJC) and the International University of La Rioja (UNIR), teaching in master's programs on advanced teaching competencies, digital technology in teaching, and inclusive education. He concurrently serves as a primary school teacher, integrating practical classroom experience with academic research in educational technology. His academic credentials include: PhD in Education from the University of Castilla-La Mancha (Outstanding Cum Laude), focusing on Virtual Reality for Social Studies in Primary Education Master's degree in Educational Research and Innovation from the University of Castilla-La Mancha Bachelor's degree in Primary Education with specialization in History, Culture, and Heritage Villena Taranilla's research centers on emerging technologies in education, particularly virtual reality, augmented reality, educational robotics, and artificial intelligence applications for primary education. He investigates their impact on learning outcomes, historical thinking development, and teacher digital competence, with significant contributions to motivation studies and technology acceptance models in educational contexts. His recent publications (2022-2025) demonstrate a concentrated focus on virtual reality for history and social sciences education in primary schools, supported by rigorous meta-analyses and technology acceptance frameworks. The work shows progressive expansion into gamification for historical thinking, augmented reality for geometry instruction, and robotics for computational thinking, reflecting a cohesive interdisciplinary approach bridging education, cognitive science, and technology innovation. His scientific recognition includes: Second prize in the 'Thesis in three minutes' contest (UCLM, 2020) National finalist in the #HiloTesis contest (CRUE Universidades) Villena Taranilla has supervised numerous Master's theses and academic internships across educational innovation programs. He has secured research funding from prestigious entities including FECYT, La Caixa Foundation, and the University of Valencia, while contributing to teacher training initiatives as a digital competence tutor with Castilla-La Mancha's Regional Teacher Training Center. He is an active member of the Labintic research group at the University of Castilla-La Mancha, dedicated to critical ICT integration in teaching. His collaborative research extends to the University of Valencia, where he completed a 2024 research stay and has scheduled another for June-September 2025 under Dr. Pascual D. Diago Nebot's supervision.

José Ramón Yela Bernabéمشاهده پروفایل

استاد

• Clinical Psychology
• Health Psychology
• Mindfulness
• +۷ مورد دیگر

José Ramón Yela Bernabé is a Professor at the Faculty of Psychology, Pontifical University of Salamanca, specializing in Basic Psychology. He leads the research group 'Evaluation and intervention in psychological well-being and health' and has been actively contributing to the fields of clinical and health psychology for over three decades. Education: PhD in Psychology from Universidad Pontificia de Salamanca (1994) - Thesis: 'Learned helplessness in humans (effects of exposure to uncontrollable aversive stimuli and reversal of deficits based on the variables percentage of reinforcement, sequence of failures and attributional instructions)' supervised by Dr. José Luis Marcos Malmierca Research Interests: His research spans multiple interconnected domains within psychology, with particular emphasis on mindfulness-based interventions and self-compassion training . He has extensively investigated the mechanisms through which these approaches improve psychological well-being and reduce symptoms of anxiety and depression. His work also encompasses learned helplessness phenomena, eating disorders particularly bulimia nervosa, stress reduction interventions , and the role of meaning in life as a protective factor for mental health. Additionally, he explores emotional regulation processes and their impact on psychological outcomes across various populations. Research Trends: Recent publications demonstrate a clear shift toward mindfulness and self-compassion interventions , with systematic evaluations of programs like Mindfulness-Based Stress Reduction (MBSR) and Mindful Self-Compassion (MSC). His work increasingly focuses on meta-analytic approaches to establish evidence bases for psychological interventions. There is also notable attention to specialized populations including mental health professionals, parents of children with chronic illnesses, and individuals with behavioral addictions. Scientific Recognition: While specific awards are not mentioned in the provided text, his extensive publication record spanning from 1987 to 2025, with particular productivity in recent years (2020-2025), demonstrates sustained scholarly impact in clinical and health psychology. Contact Information: Email: jryelabe@upsa.es Research Group: He leads the Evaluation and intervention in psychological well-being and health research group, which focuses on developing and evaluating evidence-based psychological interventions to enhance well-being and address mental health challenges across diverse populations.

Borjan Geshkovskiمشاهده پروفایل

پژوهشگر

• Control Theory
• Free Boundary Problems
• Fluid Mechanics
• +۳ مورد دیگر

Borjan Geshkovski is a Researcher affiliated with the Universidad Autónoma de Madrid (UAM) under a Marie Skłodowska-Curie fellowship at the Conflex Project. He has been associated with institutions such as FAU Erlangen-Nürnberg, University of Deusto, and the DyCon team during his academic journey. PhD in Control Theory (2021, UAM) MSc in Applied Mathematics (2016–2018, University of Bordeaux) BSc in Applied Mathematics and Computer Science (2012–2016, University of Bordeaux) His research focuses on the intersection of Control Theory and Free Boundary Problems in fluid mechanics, with recent explorations into Deep Learning from a mathematical control perspective. Key contributions include work on turnpike properties, optimal actuator design, and controllability of nonlinear PDEs. Scientific awards include the Best Review and Presentation Prize at the 2nd ConFlex workshop (2019). His publications span topics like neural ODEs, porous medium flows, and obstacle problems, reflecting collaborations with the DyCon team and ConFlex consortium.

• Quantum Thermodynamics
• Stochastic Thermodynamics
• Open Quantum Systems
• +۵ مورد دیگر

Gonzalo Manzano Paule is a Ramón y Cajal tenure-track researcher at IFISC (Instituto de Física Interdisciplinar y Sistemas Complejos), a joint research institute of CSIC (Consejo Superior de Investigaciones Científicas) and UIB (University of the Balearic Islands), where he has been working since January 2023. He previously held a Juan de la Cierva Incorporation fellowship (2021-2023), was an ESQ Postdoc at IQOQI Vienna (2020-2021), and a Postdoc at ICTP Trieste (2018-2020) funded by Scuola Normale Superiore. He obtained his PhD in Physics from Universidad Complutense de Madrid in July 2017, followed by a short Postdoc at IFISC (2017-2018). His research interests focus on quantum and stochastic thermodynamics, open quantum systems, information theory, and the foundations of nonequilibrium statistical physics and quantum mechanics. He is particularly interested in applying concepts from nonequilibrium thermodynamics to understand classical and quantum complex systems. While his work is primarily theoretical, he actively seeks collaborations with experimentalists. His research has been featured in popular science journals including Physics, Quanta Magazine, and Diario de Mallorca. He has also collaborated with artist Evarist Torres to merge art and science and has written a popular science article for Investigación y Ciencia (Scientific American). Manzano Paule's recent publications demonstrate a strong focus on quantum thermodynamics, fluctuation theorems, and quantum information processing. His work spans theoretical foundations of quantum thermodynamics to applications in quantum heat engines and molecular motors. A notable pattern in his research is the exploration of how quantum effects can enhance thermodynamic processes and the relationship between information theory and thermodynamics. His scientific achievements have been recognized through prestigious fellowships including the Ramón y Cajal program, Juan de la Cierva Incorporation fellowship, and ESQ Postdoc fellowship. His work has also garnered attention in popular science media, indicating its broader impact beyond academic circles. As an educator, Manzano Paule supervises Master's students and teaches advanced courses including Open Quantum Systems for the Master's Degree in Advanced Physics and Applied Mathematics and the Master's Degree in Physics of Complex Systems. His teaching portfolio also includes Quantum Collective Phenomena, Quantum and Nonlinear Optics, Thermodynamics, and Atomic and Molecular Physics. He currently leads the research project 'QTD-InFlexity Quantum thermodynamics: information, fluctuations and complexity' and participates in the 'CoQuSy Complex Quantum Systems' project. He is also part of the María de Maeztu Unit of Excellence at IFISC, which has received continuous funding since 2008.

• High-dimensional statistics
• Bayesian statistics
• Statistical analysis of complex data
• +۴ مورد دیگر

David Rossell is an Associate Professor at the Department of Economics, Universitat Pompeu Fabra (UPF) in Barcelona, Spain. He is affiliated with the Statistics@UPF research group and directs the Master in Data Science at the Barcelona School of Economics (BSE). Previously, he held positions at IRB Barcelona as head of the Biostatistics Unit and at the University of Warwick's Statistics Department. He obtained his PhD in Statistics from Rice University, Houston (USA), and conducted postdoctoral research at M.D. Anderson Cancer Center under Professors Valen Johnson and Veera Baladandayuthapani. Research Interests: Rossell specializes in high-dimensional statistical inference, Bayesian methods, computational statistics, and applications in biomedicine and social sciences. His work emphasizes methodology for complex data integration, variable selection, graphical models, and experimental design. Key areas include non-local priors, scalable Bayesian computation, and the development of R packages for statistical analysis (e.g., casper , chroGPS , gaga ). Publications: His recent work focuses on advancing Bayesian variable selection, graphical models with external data, and causal inference. Themes include leveraging external datasets for improved model accuracy, robustness to model misspecification, and applications in healthcare and complex mixture analysis. His contributions span methodological innovation and computational tools for high-dimensional problems. Funding & Grants: Rossell has secured funding through Spanish and European grants, including Juan de la Cierva Fellowships, AGAUR fellowships, and Marie Slodowska-Curie Actions. He supports PhD and postdoctoral researchers through programs like La Caixa InPhD and Beca Beautriu de Pinós. Labs & Teams: He leads the BSE Data Science Center and contributes to interdisciplinary collaborations at UPF and IRB Barcelona, bridging statistical theory and practical applications in genomics, epigenomics, and health data analysis.

Raquel Gallegoمشاهده پروفایل

استاد

• Public Policy Analysis
• Public Administration
• Public Sector Reform
• +۵ مورد دیگر

Raquel Gallego is a Full Professor of Political Science and Public Administration at the Autonomous University of Barcelona (UAB), with a secondary role as Senior Researcher at the Institute of Government and Public Policies (IGOP). She holds a Ph.D. from the London School of Economics and Political Science (LSE), alongside advanced degrees from UAB including an M.Sc. in Public Administration and a Licenciatura in Political Science and Sociology. Her research focuses on public policy analysis, public administration reform, welfare state dynamics, and social policies in areas like health, education, and housing. She has directed IGOP (2016-2019) and coordinated the Master in Public Management (2001-2016; 2020-2022), a collaborative program involving UAB, Universitat de Barcelona, and Universitat Pompeu Fabra. Gallego’s work emphasizes state decentralisation and social innovation, particularly in early childhood education and care. Her recent projects include analyzing cooperative affordable housing models and evaluating community health initiatives in Barcelona’s deprived neighborhoods. Over 110 publications highlight her contributions to policy reform and equity-focused governance, including articles in European Societies , Public Administration Review , and Policy Studies . Her professional trajectory reflects deep engagement with public sector challenges, balancing academic research with institutional leadership in Spain’s complex multi-level governance landscape.

• Procedural Law
• Criminal Procedure
• Chain of Custody
• +۳ مورد دیگر

Andrea Jamardo Lorenzo is an Assistant Professor at the University of León , affiliated with the School of Law and working within the Department of Public Law . Her research focuses on Procedural Law , with particular emphasis on Chain of Custody mechanisms, Technology in Law , and Legal Education innovations. Education : PhD in Law from the University of León (2023), thesis titled La cadena de custodia: análisis sistemático , supervised by Dr. Piedad González Granda. Her research explores the legal configuration and technological evolution of chain of custody systems in both national and European contexts. She investigates how digital evidence handling , AI applications , and cybersecurity protocols impact judicial integrity and procedural guarantees. Recent work also addresses pedagogical methods like flipped classrooms and role-playing in legal education. Analysis of her publications reveals trends in criminal procedure reforms , comparative chain of custody models (Spain vs. US), and ethical implications of legal technology . While no scientific awards are documented, her work contributes to debates on judicial efficiency , fundamental rights , and data protection in criminal contexts.

• Accounting Measurement Policies
• Disclosure Regulation
• Corporate Governance
• +۳ مورد دیگر

Haresh Sapra is the Charles T. Horngren Professor of Accounting at the University of Chicago Booth School of Business. His research focuses on the interplay between accounting measurement policies , disclosure regulation , and corporate governance mechanisms, particularly in the context of financial institutions. University of Minnesota PhD (2000) Editor of the Journal of Accounting Research Teaching awards across all Booth programs Sapra investigates how accounting rules impact bank stability , including mark-to-market accounting's role in procyclical behaviors and the design of CECL loan loss provisioning standards. His work bridges theoretical models with empirical regulatory challenges , examining how disclosure requirements affect market discipline and managerial decision-making. Recent publications address climate-related financial disclosures (2023), bank capital regulation (2023), and corporate governance effects on innovation (2013). His research has been featured in top-tier journals like The Accounting Review and Journal of Accounting Research, with media coverage in The Economist and Wall Street Journal. Scientific recognition includes the Ernest R. Wish Accounting Research Award for his influential work on hedge disclosures. Sapra teaches advanced courses on financial accounting and economic modeling of accounting issues to MBA and PhD students at Chicago Booth.

Guenter J. Hitschمشاهده پروفایل

استاد

• Quantitative Marketing
• Industrial Organization
• Consumer Choice Modeling
• +۷ مورد دیگر

Günter J. Hitsch is the Kilts Family Professor of Marketing at the University of Chicago Booth School of Business, where he has been a faculty member since 2001. His academic leadership extends to editorial roles as Co-Editor of the Journal of Quantitative Marketing and Economics and Associate Editor at Marketing Science and Management Science. Hitsch's educational journey includes an undergraduate degree from the University of Vienna (1995), followed by master's degrees in economics (1997, 1998), and a PhD in economics from Yale University (2001). This strong foundation in economics informs his approach to marketing research. His research program focuses on quantitative marketing and industrial organization, with particular emphasis on dynamic models of firm and consumer decision-making. Key areas include advertising effectiveness, pricing strategies, sequential learning and experimentation, and intertemporal consumer choice. Hitsch is pioneering in applying causal inference and machine learning to solve practical marketing problems such as optimal customer targeting. His work on dating and marriage markets demonstrates innovative application of economic theory to social phenomena. Hitsch's publication trajectory shows evolution from foundational work on consumer choice and switching costs to more recent applications of machine learning in marketing contexts. His research spans theoretical development and practical application, examining everything from private label demand during economic recessions to television advertising effectiveness across hundreds of brands. Co-Editor, Journal of Quantitative Marketing and Economics Associate Editor, Marketing Science Associate Editor, Management Science Hitsch's editorial leadership has significantly shaped the direction of quantitative marketing research. His commitment to methodological rigor and generalizable results ensures his work provides reliable inputs for both marketing practitioners and academic researchers. As an educator, Hitsch teaches advanced courses in quantitative marketing and business analytics, with scheduled courses for 2024-2026. He emphasizes that 'good marketing isn't fluffy,' challenging students to develop analytical approaches to marketing problems. His research philosophy prioritizes providing generalizable results that apply beyond specific case studies, serving as inputs for both practitioner decision-making and academic advancement.

Antonio Molina Fernándezمشاهده پروفایل

استاد

• Plant Innate Immunity
• Molecular Biology of Plant-Fungal Interactions
• Cell Wall-Mediated Disease Resistance
• +۳ مورد دیگر

Antonio Molina Fernández is a Professor at the Universidad Politécnica de Madrid , leading the Plant Innate Immunity and Resistance to Necrotrophic Fungi group at the Center for Plant Biotechnology and Genomics (CBGP) . His research focuses on understanding plant defense mechanisms against necrotrophic fungal pathogens, particularly using the Arabidopsis-Plectosphaerella cucumerina interaction as a model system. Key areas include molecular recognition of pathogens, cell wall integrity signaling, and fungal pathogenicity mechanisms. His group investigates how plants sense necrotrophic fungi through receptors like ERECTA and BAK1, regulatory pathways involving MAP kinases and G-proteins, and the role of secondary metabolites in immunity. They also study the genomic basis of fungal lifestyles (pathogenic vs. endophytic) and their interactions with host plants. Current projects include enhancing crop disease resistance via cell wall-derived signals, zinc-mediated immunity, and sustainable agricultural solutions through bioengineering. Molina has secured funding from multiple EU programs, including Horizon-CL6 and MCIN/AEI grants. Notable achievements include identifying the YODA kinase pathway for broad-spectrum resistance and demonstrating the role of cell wall DAMPs in immunity. His work bridges fundamental research with translational applications, aiming to develop biocontrol strategies and climate-resilient crops.

• High-Performance Computing
• Big Data
• Interconnection Networks
• +۵ مورد دیگر

Jesus Escudero-Sahuquillo is a Full Professor at the Computing Systems Department (DSI) of the Faculty of Computer Science Engineering at the University of Castilla-La Mancha (UCLM), Spain. His academic journey began at UCLM where he completed his Degree in Computer Science in 2006, followed by a Master of Science in 2008, and a PhD in Advanced Computing Technologies in 2011. His professional experience includes: Full Professor at UCLM (current position) PostDoc at Technical University of Valencia (2015) PhD Senior Engineer at Oracle Norway (2013-2015) 5-year PostDoc position at UCLM funded by UCLM and European Commission (2016) Dr. Escudero-Sahuquillo's research focuses on high-performance computing and Big Data, with particular emphasis on interconnection networks and related optimization strategies. His work spans congestion management, routing algorithms, network topologies, and power saving techniques. He has extensive experience with InfiniBand technology and has contributed significantly to congestion control mechanisms in high-performance interconnects. His publication record demonstrates a strong focus on advancing network performance in high-performance computing environments. Over the past decade, his research has evolved from foundational work on routing algorithms and network topologies to more sophisticated congestion management techniques applicable to modern data centers and exascale computing architectures. His most recent work addresses cutting-edge challenges in packet identification, hybrid congestion control, and adaptive routing for next-generation interconnection networks. Dr. Escudero-Sahuquillo has served as a program committee member and reviewer for numerous prestigious conferences and journals including IEEE Micro, IEEE Transactions on Parallel and Distributed Systems, and Journal of Parallel and Distributed Computing. He was the co-organizer for five editions of the IEEE International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era (HiPINEB). His research has been supported through participation in multiple projects funded by the European Commission and the Spanish Government. He has collaborated extensively with researchers across Europe and has been instrumental in advancing the state of the art in high-performance interconnection networks.

• Nursing
• Health Services Research
• Chronic Disease Management
• +۵ مورد دیگر

Dr. José Miguel Morales Asencio is a University Professor in the Department of Nursing at the University of Málaga (UMA) since 2010. He served as Department Director from 2010 to 2018 and currently holds the roles of Vice Dean of Research and Postgraduate Studies and Coordinator of the Doctoral Program in Health Sciences (since 2020). He is a visiting professor at several universities, including the University of Hertfordshire (UK) and Coimbra (Portugal). Research Interests : His work focuses on Health service models for chronic and dependent populations Gender inequalities in chronic disease Clinical safety and risk management Knowledge translation in healthcare Advanced nursing practice He leads the CTS-970 research group on "Chronicity, Dependency, Care, and Health Services" under the Biomedical Research Institute of Málaga (IBIMA) and is a member of the European Academy of Nursing Science. Article Trends : His recent publications address evidence-based nursing, chronic disease management, and clinical safety. Key areas include multimorbidity prediction, caregiver health economics, and transcultural validation of assessment tools. Grants & Projects : He has led 13 funded projects, including the 2023-2025 Spanish Cancer Association-funded Cui-DAR Cudeca Plan validation study (€133,412) and the 2020-2023 Ministry of Health-funded clinical prediction rule study (€55,535). His work spans randomized trials, longitudinal cohort studies, and systematic reviews. Advising : He has directed 45+ PhD theses, such as "Effectiveness of hydrophobic dressings in vascular ulcers" and "Impact of socioeconomic factors on caregiver burden." Labs & Teams : Collaborates with the European Academy of Nursing Science and IBIMA, integrating healthcare policy and clinical research.

Silverio Juan Martinez Fernandezمشاهده پروفایل

استاد

• Empirical Software Engineering
• Environmental Sustainability of AI
• Green AI
• +۳ مورد دیگر

Silverio Juan Martinez Fernandez is a Professor at the Universitat Politècnica de Catalunya (UPC) , affiliated with the Barcelona School of Informatics (FIB) and the Department of Service and Information Systems Engineering . He is a core member of the inSSIDE and GESSI research groups. His expertise spans Empirical Software Engineering , Green AI , MLOps , and Software Analytics . Education: Bachelor's in Computer Engineering PhD from UPC in Software Engineering Master's in Computing Research Interests: Focuses on sustainable AI practices, energy-efficient ML systems, and MLOps education. He investigates architectural design for green AI, energy labeling tools for ML models, and agile software development methodologies. His work bridges theoretical research and industrial applications, emphasizing data-driven decision-making. Grants & Collaborations: Leads projects like Green AI-Based Systems Architecture and Q-Rapids , funded by national and EU programs. Collaborates with institutions like Softeam and industry partners to apply software analytics in real-world scenarios. Labs & Teams: Coordinates the inSSIDE group, focusing on integrated software and data engineering. Active in organizing conferences like GREENS and ESEM , and co-develops tools like Skuld for technical debt management.