Find Academic Supervisors

• Quantum Thermodynamics
• Stochastic Thermodynamics
• Open Quantum Systems
• +5 more

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.

• Earth Physics
• Climate Science
• Remote Sensing
• +3 more

Francisco J. Tapiador is a Professor at the Universidad de Castilla-La Mancha , affiliated with the Department of Environmental Sciences. His research spans Earth Physics, Climate Science, and Remote Sensing, with a focus on precipitation modeling, climate classification systems, and data fusion techniques. He leads the Earth Physics research group at UCLM and collaborates extensively with international institutions. Key Research Areas : Earth Physics Climate Modeling Satellite Meteorology Data Fusion Algorithms Environmental Uncertainty Quantification Publication Trends : Dr. Tapiador's recent work emphasizes high-resolution precipitation merging via radar corrections, machine learning for storm detection, and uncertainty quantification in climate models. His articles integrate Remote Sensing , Machine Learning , and Climate Informatics to address extreme weather and hydrometeorological hazards. Peer Review Leadership : Atmospheric Research Chaos, Solitons and Fractals Chemosphere Heliyon Journal of Computational Science Meteorology and Atmospheric Physics Water Resources Research Collaborative Networks : Andrés Navarro Eduardo García-Ortega Gyuwon Lee Kyo-Sun Sunny Lim Ziad S. Haddad Technological Impact : His work bridges fluid dynamics , entropy-based algorithms , and neural networks to advance satellite precipitation estimation and climate model validation. Current projects include multi-satellite data correction and climate-human system couplings.

• International Relations
• Contemporary History
• Foreign Policy Analysis
• +5 more

Diego S. Crescentino serves as Assistant Professor at the University of Deusto's Faculty of Social and Human Sciences, maintaining an active research profile bridging International Relations and Contemporary History. His transdisciplinary work examines foreign policy frameworks through historical lenses, with particular focus on Latin American geopolitical positioning and conceptual evolution of the Global South. Fluent in five languages (Spanish, English, German, French, Portuguese), he has conducted research stays at Columbia University, Universidade do Estado do Rio de Janeiro, University of Erfurt, and multiple Brazilian institutions. His educational foundation includes: Ph.D. in Contemporary History from Universidad Autónoma de Madrid (international mention from Columbia University) M.A. in International Relations and African Studies (Universidad Autónoma de Madrid) B.A. in Political Science and Public Administration (Universidad Nacional de Cuyo) Crescentino holds ANECA accreditation for Assistant, Associate, and Private University Professor positions across the Spanish higher education system. Research interests span critical international relations theory with emphasis on utopian narratives in political positioning, Brazilian diplomatic evolution, environmental resistance movements, and migration policy frameworks. His work challenges traditional geopolitical binaries while examining how literary sources decode postcolonial resistance. Current projects analyze how far-right populism constructs covert utopias through environmental denial and the tension between extractivist geopolitics and community resilience. Recent publications (2023-2025) reveal three key trajectories: deconstruction of Global South conceptualization through environmental agendas, analysis of academic influences on Brazilian diplomatic practice, and methodological innovations merging historical and IR frameworks. His scholarship employs qualitative analysis, process tracing, and interdisciplinary source triangulation to examine structural transformations in emerging economies and migration governance. Professional recognition includes: Juan de la Cierva Postdoctoral Fellowship (2024) at the Spanish National Research Council Margarita Salas Postdoctoral Fellowship at Catholic University of Eichstätt-Ingolstadt While specific advisees aren't documented in the provided materials, his teaching manual "Cartografías disidentes" demonstrates engagement with critical theoretical frameworks at graduate level. Research collaborations with scholars like Sergio Caballero and Gabriela de Lima Grecco indicate participation in transnational academic networks. His work with the Grupo de Estudios Internacionales de la UAM continues critical scholarship traditions established through their academic journal and master's program. Crescentino's methodological approach combines historical analysis with contemporary policy examination, particularly through oral history integration with normative frameworks. His current research examines epistemic resistance strategies in Global South conceptualization and environmental utopianism within populist movements, building on extensive fieldwork across Latin American and European academic institutions.

Pooran MemariView profile

Researcher

• Geometric Modeling
• Computer Graphics
• Computational Geometry
• +5 more

Pooran Memari is a CNRS Researcher at the Laboratoire d'Informatique de l'École Polytechnique (LIX), UMR CNRS 7161, Institut Polytechnique de Paris, and an Affiliate Professor (part-time) at École Polytechnique. She leads research in geometric modeling within the GeomeriX team at LIX-Inria, focusing on theoretical foundations and applications in accessibility and neurocognition. Her academic journey includes: HDR (Habilitation à diriger des recherches), Institut Polytechnique de Paris, 2024 Ph.D. in Geometric Modeling, INRIA Sophia-Antipolis, 2010 Master in Image and Geometry, University of Nice-Sophia Antipolis, 2006 Engineering Degree, École Polytechnique, 2005 Bachelor in Mathematics, Sharif University of Technology, 2002 Dr. Memari's research bridges geometric modeling, computational geometry, and computer graphics with real-world impact. She pioneers techniques in shape representation, point pattern synthesis, and surface reconstruction, advancing proximity encoding and clustering algorithms. Her work extends to accessibility applications—developing geometric models for visually impaired navigation through multisensory perception—and neurocognition validation via tactile interfaces. This interdisciplinary approach integrates theoretical rigor with practical tools like the CGAL library. Recent publications (2024-2019) reveal a cohesive trajectory in geometric processing: advancing point pattern synthesis through image-based editing (Patternshop), stability-incorporated neighborhood graphs (SING), and multi-class disk distributions; innovating surface reconstruction via Voronoi-based methods (BallMerge); and expanding applications to virtual worlds simulation and neurocognitive accessibility. Key themes include bridging discrete geometry operators with high-dimensional data analysis and translating theoretical insights into tools for visual computing. Dr. Memari actively mentors the next generation of researchers, advising eight PhD students on topics ranging from generalized Voronoi diagrams to neurocognition-driven tactile navigation. She coordinates Computer Science Projects for École Polytechnique's Bachelor program since 2019 and co-leads the Interaction, Graphics & Design master's program at IP-Paris. Her leadership extends to editorial roles at Computer Graphics Forum and Graphical Models Journal, alongside prominent conference positions including SGP Program Co-Chair (2023) and Eurographics STARs Co-Chair (2025). As a core GeomeriX team member, she drives collaborative projects in geometric modeling and virtual environments. She coordinates the LIX Seminar since May 2025 and serves on the French Eurographics Chapter board, fostering community engagement through initiatives like the IGD master's program and Eurographics symposia.

• Computational Fracture Mechanics
• Acoustics and Vibrations Modelling
• Cell Mechanics
• +3 more

Antonio Rodríguez-Ferran is a Professor at the School of Civil and Environmental Engineering at the Universitat Politècnica de Catalunya (UPC) in Barcelona, Spain. His research focuses on computational fracture mechanics, acoustics and vibration modeling, cell mechanics, and advanced numerical methods in applied sciences. He holds a B.Sc., M.Sc., and Ph.D. in Civil Engineering from UPC, completing his doctorate in 1996. His work emphasizes phase-field modeling for fracture propagation in layered and composite materials, with contributions to the shifted fracture method and adaptive numerical techniques. He also explores vibroacoustic systems, granular materials, and structural acoustics. Notable projects include modeling human towers (Castells) and cellular mechanics in biological systems. Research highlights include advancements in fracture mechanics using phase-field approaches, numerical methods for interface and material mismatch analysis, and interdisciplinary applications in engineering and biology. His work bridges computational methods with real-world industrial applications, such as bulk material characterization and structural noise reduction. Collaborations span academia and industry, with a focus on advancing computational tools for engineering challenges. Current open positions include MSc thesis topics in computational engineering and granular material modeling.

Juan Vidal PugaView profile

Professor

• Game Theory
• Economics
• Cost Allocation
• +4 more

Juan Vidal Puga is a Full Professor ( Professor Catedrático ) at the Department of Statistics and Operations Research, University of Vigo, since August 2022. He holds a PhD in Mathematical Sciences (2002) with an Extraordinary Doctoral Award and is accredited as a University Professor in both Science and Social/Legal Sciences branches. Research Areas: Game Theory, Economics, Environmental Sciences, Public Management Key Projects: Game theory and economic inequalities (2021-2025) , Climate change resilience (2022-2024) His research focuses on cooperative game theory, particularly bargaining models, cost allocation in network problems (minimum cost spanning trees, land rental agreements), and applications to environmental risk prevention. Recent work includes developing efficient Shapley-type solutions for fuzzy games and analyzing freight transportation models. Scientific Awards : Erasmus scholarship (1994-1995) Extraordinary doctoral award (2002) He has supervised two PhD students and evaluated international journals like Journal of Economic Theory , Games and Economic Behavior , and European Journal of Operational Research . Teaching includes courses on Game Theory in Public Management, Quantitative Methods, and Microsoft Office workshops.

Leocadio Hontoria GarcíaView profile

Professor

• Photovoltaic Solar Energy
• Solar Radiation Modeling
• Artificial Neural Networks
• +3 more

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.

Manuel Herrera UsagreView profile

Researcher

• Sociology of Music
• Social Stratification
• Cultural consumption
• +2 more

Manuel Herrera-Usagre is a Faculty Member in the Department of Sociology at the University of Seville, Spain. His research spans the intersection of sociology, cultural studies, and healthcare quality, with particular expertise in social stratification, cultural consumption patterns, and healthcare systems improvement. Dr. Herrera-Usagre holds a Doctorate in Sociology from the University of Seville, with his 2014 thesis focusing on cultural consumption and participation in Spain and Andalusia from the perspective of social stratification and transmission of attitudes toward culture. He earned a double Bachelor's degree in Political Science and Sociology, along with an Official Master's Degree in Social Programmes Management. His research interests center on the sociology of music, social stratification, cultural consumption, cultural participation, and healthcare quality & safety. Herrera-Usagre has made significant contributions to understanding how social class, education, and generational factors influence cultural consumption patterns, particularly in music. His work on cultural omnivorousness in Andalusia challenged traditional notions linking high culture consumption exclusively to higher social strata. Simultaneously, his healthcare research has focused on quality improvement in the Andalusian healthcare system, examining stakeholder analysis, hand hygiene compliance, pain assessment in pediatric nursing, and patient communication through digital channels. An analysis of his publication record reveals a dual trajectory of research: one strand examines cultural consumption patterns and social stratification, while the other investigates healthcare quality improvement. His recent work shows an increasing integration of interdisciplinary approaches, particularly merging data visualization with artistic expression to address social inequality. His research methodology spans quantitative analysis of large-scale surveys, latent class analysis, structural equation modeling, and stakeholder mapping techniques. While specific scientific awards are not mentioned in the available documentation, Herrera-Usagre has demonstrated significant research impact through his participation in numerous competitive R&D projects and contracts at both national and international levels. His work with the Andalusian Agency for Healthcare Quality has contributed to practical improvements in healthcare delivery systems. Dr. Herrera-Usagre has participated in advising research projects and has collaborated with various institutions, including those focused on healthcare quality improvement in Andalusia. His research has been supported through competitive funding mechanisms, though specific grant details are not provided in the available documentation. His work appears closely associated with the Andalusian Agency for Healthcare Quality (Agencia de Calidad Sanitaria de Andalucía), where he has conducted multiple studies on healthcare quality assessment, stakeholder analysis, and professional competency evaluation. This institutional connection has provided a practical context for applying sociological research methods to healthcare system improvement.

Juan Carlos Pichel CamposView profile

Associate Professor

• Parallel Computing
• Distributed Computing
• Big Data Technologies
• +6 more

Juan Carlos Pichel is an Associate Professor at the Center for Research in Intelligent Technologies (CITIUS) within the University of Santiago de Compostela (Spain). He holds a B.Sc. in Physics and a Ph.D. in Computer Science from the same university (2006). His research focuses on parallel and distributed computing, Big Data technologies, quantum computing, and optimization for emerging architectures. He has held visiting positions at University Carlos III de Madrid and University of Illinois at Urbana-Champaign, and worked at the Galicia Supercomputing Center. Education: B.Sc. Physics (USC, Spain), Ph.D. Computer Science (USC, 2006). Research interests include: HPC frameworks (IgnisHPC), quantum computing tools (NetQIR), bioinformatics software (BigSeqKit/VeryFastTree), and misinformation detection systems. His work emphasizes interdisciplinary applications of parallel computing in genomics, health informatics, and social media analysis. Notable contributions: MPI4All (universal MPI bindings), IgnisHPC (HPC-Big Data framework), and VeryFastTree (phylogeny tool). Active in projects like C3HS (health search systems) and HYBRIDS (AI for democratic practices). Labs/Teams: Leads the ARQCOMP research group in Computer Architecture. Collaborates with multidisciplinary teams in bioinformatics, quantum computing, and social media analytics.

Alastair ReidView profile

Researcher

• formal verification
• security
• functional languages
• +1 more

Alastair Reid is a researcher at Intel (2021–present) focusing on formal instruction set architecture (ISA) specifications and model checking processor pipelines. His career spans roles at Google Research (2019–2021) developing Rust verification tools, Arm Ltd (2004–2019) working on formal ISA specifications and vectorizing compilers, University of Utah (1998–2004) on component-based operating systems, Yale University (1994–1998) contributing to Haskell functional reactive programming, and University of Glasgow (1988–1994) in formal specification and verification. Ph.D. in Defining interfaces between hardware and software: Quality and performance , Glasgow University M.Sc. in A precise semantics for Ultraloose Specifications , Glasgow University B.Sc., University of Strathclyde His research interests include formal verification, security analysis, functional programming languages (particularly Haskell and Rust), and computer architecture. He has contributed to the development of machine-readable ISA specifications for ARM, RISC-V, and Intel architectures, and worked on symbolic execution tools like KLEE for Rust verification. Key publications include work on RISC-V specification improvements (2024), formal methods for persistent programming (2023), PLARCH workshop contributions on ISA specification (2023), and foundational papers on ARM processor verification with ISA-Formal (2016). His technical blog posts cover topics in symbolic execution, SMT solvers, and practical verification challenges. Contributions to conferences include committee roles in PLDI (2024), PriSC (2024), and workshop organization in formal methods and programming language design.

Felipe GándaraView profile

Researcher

• Reticular Chemistry
• Metal-Organic Frameworks (MOFs)
• Covalent-Organic Frameworks (COFs)
• +3 more

Dr. Felipe Gándara is a Staff Scientist at the Materials Science Institute of Madrid (ICMM-CSIC), specializing in reticular chemistry and porous materials. His research focuses on the design, synthesis, and structural analysis of metal-organic frameworks (MOFs) and covalent-organic frameworks (COFs) for energy and environmental applications. Education: Ph.D. in Chemistry (2009) from Universidad Autónoma de Madrid. Postdoctoral training with Prof. Omar M. Yaghi at UCLA (2009–2012) and UC Berkeley-LBNL (2012–2014). Previous roles include CSIC-ComFuturo and Ramón y Cajal researcher fellowships before becoming a Staff Scientist in 2020. Research interests include MOF/COF design for energy storage, structural elucidation via X-ray/neutron diffraction, and computational modeling. His work integrates synthetic chemistry with advanced structural analysis to develop functional materials for sustainability. Key achievements: Development of novel MOFs for photoelectrochemical cells, heterometallic frameworks, and catenated COFs. Awards include prestigious fellowships for research excellence. Over 50 publications in top journals like Journal of the American Chemical Society and Nature Synthesis .

Patrick Aloy CalafView profile

Research Professor

• Structural bioinformatics
• network biology
• network medicine
• +3 more

Dr. Patrick Aloy Calaf is an ICREA Research Professor and Principal Investigator at the Institute for Research in Biomedicine (IRB Barcelona) , leading the Structural Systems Biology lab. His academic journey includes a BSc in Biochemistry and an MSc in Biotechnology from the Autonomous University of Barcelona (UAB) , followed by a postdoctoral and staff scientist role at the European Molecular Biology Laboratory (EMBL) in Heidelberg, Germany. His research merges structural bioinformatics , network biology , and systems pharmacology to analyze macromolecular assemblies using 3D structures. He has pioneered Structural Systems Pharmacology , integrating chemical and structural data for drug development, and developed tools like 3did , IntSide , and NetAligner to model protein interactions and networks. Key research areas: 3D interactomes Peptide-mediated interactions Network medicine His 150+ publications in journals like Nature , Cell , and PLoS reflect broad impact, with over 17,500 citations. His work spans from yeast interactome modeling to human disease networks, emphasizing structural insights in biological complexity. The Structural Systems Biology lab under his leadership focuses on bridging computational models with experimental validation, advancing structural predictions for protein complexes and pathways.

German Lopez BuenacheView profile

Professor

• Econometrics
• Monetary Policy Analysis
• Time Series Analysis
• +4 more

German Lopez Buenache is a Professor in the Department of Quantitative Methods for Business and Economics at the University of Murcia's Faculty of Economics and Business. His research focuses on econometric modeling, monetary policy evaluation, and macroeconomic forecasting. He holds a Doctorate from the Universidad de Alicante with a thesis on forecasting methods and monetary policy evaluation, supervised by Dr. Máximo Camacho and Dr. Gabriel Pérez-Quirós. His research affiliations include the 'Productive Systems, Cooperation and Development' and 'Time Series and Econometrics' groups. His work spans topics such as business cycle synchronization, credit market dynamics, and digital media impact analysis. He actively contributes to policy-relevant studies involving dynamic factor models and counterfactual analysis. His scholarly output demonstrates expertise in merging theoretical econometrics with applied policy analysis. Recent works address regional economic disparities during crises and digital media's role in academic outreach. While no awards are listed, his sustained publication record reflects ongoing academic engagement. Lopez Buenache's research also intersects cognitive science applications in education, exploring tailored academic strategies based on student cognitive capacities. His email contact is available at germanlb@um.es for collaboration inquiries.

• Social Choice Theory
• Axiomatic Aggregation Theory
• Political Economy
• +3 more

Antonio Quesada Arana is a full professor at the Department of Economics , Universitat Rovira i Virgili (URV). Specializing in Social Choice Theory and Axiomatic Aggregation Theory , he has published extensively in journals like Public Choice , Social Choice and Welfare , and Mathematical Social Sciences . His research explores the intersection of democracy, dictatorship, and voting systems through rigorous mathematical frameworks. Education : PhD from Universitat Autònoma de Barcelona (1999). Research Trends : His recent work focuses on axiomatic models for scientific impact metrics (e.g., Hirsch/Egghe indices) and foundational questions in social choice, including majority rule, unanimity, and preference aggregation. Publications span game theory, political economy, and economic theory, with emphasis on institutional design and rationality. Teaching Roles : Since 2003, he has taught macroeconomics, microeconomics, and advanced topics in international economic policy across undergraduate and postgraduate programs at URV, including Master in International Markets and Doctoral Programme in Economics . He has served as a thesis advisor since 2016. Research Groups : A founding member of the Research Group on Economic Organization and Decision (GRODE) , he has led projects funded by AGAUR and MEDU on topics like political-economic organization and market structures. His collaborations include researchers such as Francesc Llerena Garrés and Bernd Theilen.

Roberto Iglesias RodríguezView profile

Associate Professor

• Machine Learning
• Robotics
• Continual Learning
• +6 more

Roberto Iglesias Rodríguez is an Associate Professor at the University of Santiago de Compostela, Spain, with a focus on robotics and machine learning. He holds a B.S. and Ph.D. in Physics from the same institution (1996, 2003). His work addresses lifelong robot learning, federated learning, and deployment of intelligent systems in heterogeneous environments. Current affiliation: University of Santiago de Compostela Academic rank: Associate Professor Education: B.S. and Ph.D. in Physics (1996, 2003) His research spans robotics, machine learning, and sensor fusion , emphasizing adaptive algorithms for non-IID data, concept drift, and real-time environmental interaction. Projects include service robots learning from humans, distributed control architectures, and federated learning strategies. Recent publications analyze continual learning , scene recognition , and human-robot collaboration . Key themes: robust navigation, multi-sensor systems, and explainable AI.