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Carlos Javier Gómez ArizaView profile

Professor

• Cognitive Psychology
• Educational Psychology
• Memory and Forgetting
• +3 more

Carlos Javier Gómez Ariza is a Professor in the Department of Psychology at the University of Jaen, Spain, specializing in cognitive and educational psychology. His research integrates neuromodulation techniques with memory studies to explore fundamental cognitive mechanisms and their educational applications. He earned his Doctorate from the University of Granada in 2003 with the thesis "Resistencia a la interferencia durante la recuperación: un estudio evolutivo" (Resistance to interference during retrieval: an evolutionary study), supervised by Dr. María Teresa Bajo Molina. His academic career centers on the Department of Psychology within the University of Jaen's institutional framework. Dr. Gómez Ariza's research spans memory inhibition , active forgetting mechanisms , and neuromodulation applications using transcranial direct current stimulation (tDCS) and transcranial alternating current stimulation (tACS). His work investigates how brain stimulation modulates prefrontal and temporal lobe functions during semantic processing, false memory formation, and cognitive control. Key contributions include establishing causal roles of specific brain regions in retrieval-induced forgetting and developing educational interventions based on retrieval practice. Analysis of his 15 most recent publications reveals a dominant focus on prefrontal-temporal network interactions during memory tasks, with increasing application of tDCS/tACS to modulate default mode network connectivity. His research bridges basic cognitive neuroscience with practical educational contexts, particularly through school-based studies on retrieval practice and concept mapping. He actively collaborates with the "Development and Research in Education in Andalusia" research group, focusing on translating cognitive principles into educational strategies while maintaining strong ties to cognitive neuroscience methodologies.

• Control Systems
• Fault Diagnosis
• Automation
• +3 more

Ramon Sarrate Estruch is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Escola Superior d'Enginyeries Industrial, Aeroespacial i Audiovisual de Terrassa (ESEIAAT) and the Department of Systems Engineering and Automation. His professional category is 'Professor Agregat,' reflecting his senior academic role. He leads research in the SIC (Sistemes Intel·ligents de Control) and CS2AC-UPC (Supervision, Safety and Automatic Control) groups, focusing on advanced control systems, fault diagnosis, and automation. His educational background includes a degree in Industrial Engineering and a Doctorate in Industrial Engineering from UPC. He has consistently contributed to academic projects and collaborations, evidenced by over 159 documented activities, including research projects, conference presentations, and publications in peer-reviewed journals such as Engineering Applications of Artificial Intelligence and International Journal of Applied Mathematics and Computer Science. Ramón's research interests revolve around fault-tolerant control, model predictive control (MPC), and reliability-aware systems. He has pioneered work in actuator fault estimation, LPV system control, and health-aware frameworks for critical infrastructure. His work emphasizes practical applications in industries like aerospace (UAV systems) and energy (gas turbines). Notable projects include coordination of autonomous vehicles, health management for UAVs, and safety-critical control systems. His contributions span 30+ years, with impactful publications from 1993 to 2024. He collaborates extensively with peers like F. Nejjari, V. Puig, and J. Quevedo, driving advancements in supervision, safety, and automatic control.

• Economics
• International Trade
• Monetary Policy
• +5 more

Paul Krugman is a Nobel laureate economist and prominent public intellectual, formerly with the New York Times and currently authoring a widely-read Substack newsletter. He maintains an academic affiliation with the Stone Center on Socio-Economic Inequality at the City University of New York's Graduate Center, where he engages with economic research and policy analysis. Professor Krugman's scholarly work spans international trade theory, monetary policy, and political economy, with recent focus on contemporary economic challenges including stagflation risks, AI's energy demands, and the economic impacts of trade policy. His research consistently bridges academic rigor with accessible public commentary, making complex economic concepts understandable for broader audiences while maintaining scholarly precision. His expertise in international economics stems from foundational work that earned him the Nobel Prize. Recent analysis shows Krugman examining nonlinear economic effects of policy decisions, with particular attention to how seemingly incremental changes can trigger disproportionate economic consequences. His writing demonstrates how economic theory applies to real-world political decisions, especially regarding trade wars, immigration policy, and energy transitions. Nobel Prize in Economics As a public intellectual, Krugman actively participates in policy debates through multiple channels, connecting academic economics with current events. His commentary frequently influences economic discourse in media and political circles, and he is known for his incisive analysis of economic policy proposals and their potential consequences. His work with the Stone Center indicates ongoing engagement with academic research despite his primary role as a public commentator.

Maria Jimenez MovillaView profile

Professor

• Reproductive Biology
• Gametogenesis
• Fertilization
• +3 more

Dr. Maria Jiménez-Movilla is a Professor in the Department of Cell Biology and Histology at the University of Murcia's Faculty of Medicine. Her research focuses on molecular mechanisms of reproduction, particularly gamete interaction, fertilization, and early embryonic development. She applies advanced techniques including molecular biology, nanotechnology, and 3D modeling to develop novel reproductive technologies. Education and career progression: Degree in Biochemistry (University of Murcia, 2000) PhD in Biochemistry with European Mention (University of Murcia, 2005) Postdoctoral Fellow at NIDDK, NIH (2006-2010) Juan de La Cierva Fellowship (2010) Professor at University of Murcia (since 2011) Her research interests span gamete recognition molecules, zona pellucida dynamics, oviduct proteins, and nanotechnological applications in assisted reproduction. She leads the research group 'Gametogenesis, Fertilization and Early Embryonic Development' and collaborates internationally through networks like COST Action CA16119. Recent publications demonstrate strong interdisciplinary approaches combining reproductive biology with nanotechnology, materials science, and molecular modeling. Article clusters focus on: (1) Nanotechnology applications in reproduction, (2) Sperm-egg interaction mechanisms, (3) Zona pellucida structure-function relationships, and (4) Genetic regulation of fertilization. Scientific recognition includes: Principal Investigator on 7 competitive research projects Inventor of patented nanotechnology for reproduction (NanoRep) Recipient of Juan de La Cierva Fellowship Author of publications in Science Translational Medicine, Nature Communications, eLife Dr. Jiménez-Movilla coordinates doctoral studies in Reproductive Health Biology and Technology, teaches across multiple degree programs, and directs the Master's in Biology and Technology of Mammalian Reproduction. She leads laboratory teams developing novel reproductive techniques using nanoparticle-based approaches.

Matthieu PerrinView profile

Associate Professor

• Distributed Computing
• Message-Passing Systems
• Weakly Consistent Data Structures
• +3 more

Matthieu Perrin is an Associate Professor at the University of Nantes, affiliated with the GDD team at LS2N (Laboratoire des Sciences du Numérique de Nantes). He holds a PhD from the University of Nantes (2016), advised by Claude Jard and Achour Mostéfaoui. His research focuses on distributed computing, particularly message-passing systems, weak consistency models, and distributed algorithms. He has co-advised PhD students including Grégoire Bonin and supervised undergraduate projects like Damien Maussion's work on weak consistency enforcement. Key contributions include seminal work on differentiated consistency for gossip protocols, causal broadcast algorithms, and extensions of the Herlihy wait-free hierarchy to multi-threaded systems. His publications span journals like IEEE TPDS and conferences such as EuroSys and PODC. Perrin's work bridges theoretical foundations (e.g., consistency models) with practical implementations (e.g., state-machine replication for large-scale systems). He collaborates widely, including postdoctoral work at Technion and IMDEA Software Institute.

• Complex Systems
• Data Analysis
• Nonlinear Dynamics
• +4 more

Cristina Masoller Alonso is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Departament de Física and the Escola Superior d'Enginyeries Industrial, Aeroespacial i Audiovisual de Terrassa (ESEIAAT). Her research focuses on complex systems, nonlinear dynamics, nonlinear photonics, and data analysis. She is part of the DONLL research group (Dinàmica no Lineal, Òptica no Lineal i Làsers) and holds a PhD from Bryn Mawr College, USA, with a Master's in Physics. Her work spans experimental and theoretical studies in semiconductor lasers, chaos synchronization, and applications of nonlinear dynamics to neural networks and ecological systems. Her recent research highlights include analyzing noise-induced phenomena in neural networks, studying corruption network structures through gender disparity analysis, and developing entropy-based methods for detecting critical transitions in ecological and climatic systems. She has led multiple competitive research projects funded by the Air Force Office of Scientific Research and European programs, and her work is published in high-impact journals like Chaos , Optics Express , and Scientific Reports . Dr. Masoller's contributions include over 400 academic activities, including articles, conference presentations, and research grants. She collaborates extensively with institutions globally and is actively involved in organizing and reviewing for international conferences in nonlinear dynamics and photonics.

• Atmospheric Physics
• Climate Modeling
• Precipitation Analysis
• +3 more

Andrés Merino Suances is a Professor at the Department of Applied Chemistry and Physics within the College of Biological and Environmental Sciences at the University of León, Spain. His research focuses on atmospheric physics, climate modeling, and meteorological remote sensing, particularly hailstorm prediction and numerical weather simulation. He is affiliated with the GFA FÍSICA DE LA ATMÓSFERA research group. PhD in Atmospheric Physics (University of León, 2013) with a thesis on hailstorm analysis in the Iberian Peninsula. Key research themes include satellite precipitation validation, climate classification systems, and extreme weather events over complex terrain. Recent publications highlight his work on hailstorm detection using GPM sensors, WRF model evaluations for snowfall and precipitation, and advancements in climate models for global warming characterization. Collaborates on international projects like JEM-EUSO, focusing on space-based cosmic ray observations and atmospheric monitoring.

• Statistical Modeling
• Mixed-Effects Models
• Data Analysis
• +7 more

Jose Antonio Sanchez Espigares is a Senior Lecturer in the Department of Statistics and Operations Research at the Universitat Politècnica de Catalunya (UPC), affiliated with the Faculty of Mathematics and Statistics. He is a member of the ADBD research group (Analysis of Complex Data for Business Decisions) and has a long-standing record of research and teaching in applied statistics and data science. His research interests include: Statistical Modeling and Mixed-Effects Models Computer-Intensive Methods and Bootstrapping Environmental and Public Health Applications Urban Mobility and Transportation Analytics Business Decision Support Systems Food and Agricultural Engineering Statistics His recent publications reflect a strong trend in applying advanced statistical techniques to real-world problems, particularly in urban sustainability, environmental monitoring, and public health. He frequently collaborates on interdisciplinary projects involving soil science, epidemiology, and transportation systems. Scientific awards and recognitions include: Ajuts per al finançament de projectes per a la millora de la qualitat docent a les universitats de Catalunya (2002) Mejora del rendimiento académico de la asignatura Estadística 2 en la Facultad de Informática de Barcelona He has advised doctoral students, including Alexandra Piedad Cortez Ordoñez, and has participated in multiple competitive R&D+i projects. His work often involves collaboration with researchers in environmental engineering, computer science, and public health. While no dedicated lab is explicitly mentioned, his involvement in research groups like ADBD and LIAM indicates active participation in collaborative data science and modeling teams.

• Biomedical Signal Processing
• Sleep Apnea Detection
• Heart Rate Variability (HRV)
• +4 more

Daniel Romero Pérez is a researcher at the Institute for Bioengineering of Catalonia (IBEC) , specializing in Biomedical Signal Processing and Interpretation . His work focuses on developing computational models for detecting respiratory events in sleep apnea, analyzing cardiovascular responses to hypoxia, and applying machine learning to improve diagnostics for conditions like Brugada syndrome and COPD. Key Research Areas : Heart Rate Variability (HRV), ECG analysis, obstructive sleep apnea, COPD, Brugada syndrome, computational modeling Technologies : Dynamic Bayesian Networks, time-warping analysis, quaternion-based algorithms His recent publications demonstrate cross-disciplinary applications of artificial intelligence in medicine, particularly for non-invasive diagnostic systems. Collaborations include clinical institutions and biomedical engineering teams across Europe. Current projects involve: Prediction of obstructive apnea episodes using ECG time-series Non-linear HRV quantification in OSA models Respiratory rate estimation from vectorcardiograms

Peter DitlevsenView profile

Professor

• Climate Science
• Dynamical Systems
• Statistical Physics
• +6 more

Peter Ditlevsen is a Professor at the Physics of Ice, Climate and Earth group within the Niels Bohr Institute at the University of Copenhagen . His research spans climate dynamics, turbulence theory, and complex systems, with a focus on Earth system tipping points and AMOC collapse risks . He is affiliated with the Complexity Group and leads high-impact interdisciplinary projects.

• Machine Learning
• Approximate Inference
• Optimal Control
• +6 more

Vicenç Gómez is an Associate Professor in the Department of Engineering at Universitat Pompeu Fabra (UPF), where he leads research in artificial intelligence and machine learning. He serves as Coordinator of the Erasmus Mundus Joint Master in Artificial Intelligence and the MSc program in Intelligent and Interactive Systems, and teaches in the BSc in Mathematical Engineering in Data Science. His research interests include machine learning, approximate inference, optimal control, and complex networks , with applications in social networks, robotics, brain-computer interfaces, and urban systems. He applies advanced AI techniques to model human behavior, network dynamics, and decision-making processes. The recent publications highlight a strong focus on graph-based learning, reinforcement learning, social network analysis, and health informatics . His work integrates theoretical advances in probabilistic modeling with real-world applications in digital platforms, environmental monitoring, and mental health. There is a consistent theme of modeling complex systems through structured AI and interpretable models. Scientific Awards and Recognition: Coordinator of the prestigious Erasmus Mundus Joint Master in Artificial Intelligence Local Chair of UAI 2024, a top-tier conference in AI Program Committee member for ICAPS 2024 Organizer of the EMAI Summer School in collaboration with UCL Advising and Grants: Vicenç Gómez actively supervises PhD and Master's students, including Nur Alvarez-Gonzalez, Roger Garriga, Emily Theophilou, and Sergio Calo. His advising spans topics in emotion detection, mental health modeling, air quality prediction, and representation learning. He has been involved in organizing major academic events and leading international educational programs, indicating significant leadership and collaborative grant activity. Labs and Research Groups: He is a key member of the Artificial Intelligence and Machine Learning group at UPF’s Department of Engineering, based at the Roc Boronat building in Barcelona. His team engages in interdisciplinary research combining AI theory with applications in social, health, and urban domains.

• Inorganic Chemistry
• Sustainable Redox Catalysis
• Coordination Chemistry
• +8 more

Maria Isabel Romero Garcia is a full Professor in the Department of Chemistry at the Faculty of Sciences, University of Girona (UdG), Spain. She holds a PhD from the Autonomous University of Barcelona and has been a faculty member at UdG since 1996, advancing from Assistant to Associate and then to full Professor in 2018. Her academic career includes significant postdoctoral experience in France, contributing to her expertise in inorganic and catalytic chemistry. Education: BSc in Chemistry, University of Murcia (1989) Master’s in Chemistry, University of Murcia (1990) PhD in Chemistry, Autonomous University of Barcelona (1995) Her research focuses on Sustainable Redox Catalysis using coordination compounds and the Heterogenization and Reusability of Catalytic Systems . She has made notable contributions to photoredox catalysis with ruthenium and metallacarborane compounds, particularly in aqueous-phase oxidation reactions. Her work bridges fundamental inorganic chemistry with practical applications in green and sustainable processes. The 15 most recent publications reflect a consistent trajectory in inorganic and organometallic catalysis , emphasizing sustainability, reusability, and biomimetic design. Key themes include photoredox systems, heterogenized catalysts, and the use of boron and silver complexes. Her publications appear in top journals such as JACS, Angewandte Chemie, and Green Chemistry, showcasing the high impact of her work. She has been recognized through extensive research leadership, including coordination of the doctoral and master's programs in Homogeneous Catalysis at UdG. She has also served on scientific committees for major conferences like QIES12, QIES14, and EUROBORON9. Scientific contributions and service include: Principal Investigator in 7 public R&D projects Member of scientific committees for international conferences Reviewer for AGAUR (Catalonia), ANPCyT (Argentina), and international journals External reviewer for doctoral theses Jury member for over 25 doctoral defenses and academic hiring processes Maria Isabel Romero has supervised 8 completed PhD theses and currently mentors 2 more, along with numerous master’s and undergraduate students. She has participated in 35 funded R&D projects and holds 2 published patents with one pending. She is also involved in the Erasmus+ KA107 mobility program, promoting international academic exchange. Her research group contributes to the Analytical and Environmental Chemistry Research Group at UdG. She has presented her work on boron salts for antimicrobial resistance at public outreach events and participated in technology transfer activities such as the EBTON Conference (2023). Her laboratory integrates synthetic inorganic chemistry with catalytic testing and material characterization, aiming to develop environmentally friendly chemical processes.

• Computational Chemistry
• Molecular Dynamics
• Biomolecular Simulation
• +7 more

Ferran Feixas Gerones is a Ramón y Cajal Researcher at the Department of Chemistry, University of Girona, and a key member of the Institute of Computational Chemistry and Catalysis (IQCC). He is co-Principal Investigator of the CompBioLab research group and part of the Theoretical Chemistry of Biosystems (TCBioSys) group, where he leads projects on molecular recognition, biomolecular dynamics, and computational drug design. His research focuses on advancing computational methods in chemistry, particularly through enhanced sampling molecular dynamics simulations. He applies these techniques to understand enzyme catalysis, protein folding, and biomolecular recognition processes. His work bridges theoretical chemistry and practical applications in drug discovery and biocatalyst design. Ferran Feixas has led significant research projects funded by national and European programs, including a Ramón y Cajal grant, a Marie Curie Individual Fellowship, and projects under Spain’s Challenges and TED calls. These efforts aim to develop integrated simulation strategies that account for molecular dynamics to enable step-by-step reconstruction of biochemical and biomolecular recognition events. Scientific Awards and Fellowships: Ramón y Cajal Fellowship (RYC2020-029552-I) Marie Curie Individual Fellowship Beatriu de Pinós Postdoctoral Fellowship As a project leader and co-PI, Dr. Feixas mentors students and early-career researchers within CompBioLab. His group collaborates on enzyme engineering and rational drug design, supported by grants such as RTI2018-101032-J-I00 and TED2021-130173B-C42. These grants enable the development of advanced computational protocols for simulating complex biomolecular systems. Dr. Feixas is embedded in a strong research infrastructure, working within the Institute of Computational Chemistry and Catalysis (IQCC), a leading center for theoretical and computational chemistry in Spain. His team leverages high-performance computing to explore conformational dynamics and its role in catalysis and molecular recognition.

Rodrigo I. SilveiraView profile

Associate Professor

• Computational Geometry
• Combinatorial Geometry
• Geographic Information Science (GIS)
• +7 more

Rodrigo I. Silveira is an Associate Professor in the Department of Mathematics at Universitat Politècnica de Catalunya (UPC), where he conducts research in computational and combinatorial geometry. He is a member of the UPC research group on Discrete, Combinatorial and Computational Geometry and has a strong academic background, having earned his PhD at Utrecht University under Marc van Kreveld and completed prior studies at the Universidad de Buenos Aires. His research focuses on Computational Geometry , particularly problems arising from Geographic Information Science (GIS) , such as map construction, trajectory analysis, and visibility. He also works on Graph Drawing and algorithms for geometric structures. His work combines theoretical algorithm design with practical applications in spatial data. His recent publications reflect a consistent trend in geometric algorithms, including shortest paths in complex environments (e.g., portalgons), Voronoi diagrams with color constraints, robot motion coordination, and map inference from GPS data. These works appear in top-tier journals and conferences such as Algorithmica , Computational Geometry: Theory and Applications , SoCG, WADS, and LATIN. He has received scientific recognition, including a Best Paper Award at AGILE 2009 and another at SpatialGems 2021. He has supervised several PhD students to completion, including Guilermo Esteban (2024) and Pilar Cano (2020), and continues to advise current students. Rodrigo has been deeply involved in the academic community, organizing major events such as the European Workshop on Computational Geometry (EuroCG 2023), Graph Drawing 2018, and the Intensive Research Program on Discrete Geometry (2018). He has served on the program committees of SoCG, WADS, LATIN, and CCCG, and has chaired tracks for EGC and CG:YRF. His work is supported by collaborations with leading researchers such as Kevin Buchin, Maarten Löffler, Prosenjit Bose, and Vera Sacristán, and he contributes to both theoretical advances and practical implementations in geometric computing.

ALFONSO GARCIA DE PRADO FONTELAView profile

Associate Professor

• Service-Oriented Architecture
• Complex Event Processing
• Internet of Things
• +3 more

Alfonso García de Prado Fontela is an Associate Professor at the Department of Automatic Engineering, Electronics, Computer Architecture and Networks at the University of Cadiz, Spain. He is affiliated with the UCASE research group (TIC025) focused on Software Engineering and holds a PhD in Computer Science from the University of Cadiz (2017) for his work on non-intrusive context-aware service-oriented architectures. His research bridges professional software engineering experience from companies like MSL Software and Atos Origin with academic innovation, focusing on: Context-aware service-oriented architectures Complex event processing (CEP) for IoT Smart environment systems Health risk detection via environmental data Model-driven engineering Recent publications reveal a strong emphasis on real-time data processing, collaborative smart environments, and IoT applications in air quality monitoring. He has authored 13 JCR-indexed papers (Q1-Q4) and developed 5 registered software tools including CARED-SOA and SAT-CEP-monitor. Professional contributions include participation in: National projects: TIN2015-65845-C3-3-R, RTI2018-093608-B-C3 Regional project: P20-00865 Local projects: PR2011-004, CEIJ19-C01.1 Contact: alfonso.garciadeprado@uca.es | Personal Web