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Carme Torras Genís is a Research Professor at the Spanish National Research Council (CSIC), affiliated with the Institute of Robotics and Industrial Informatics (IRI) in Barcelona and the Technical University of Catalonia (UPC). Her career spans over three decades, focusing on robotics, neurocomputing, and artificial intelligence with applications in healthcare and deformable object manipulation. M.Sc. in Mathematics (University of Barcelona, 1978) M.Sc. in Computer Science (University of Massachusetts, 11981) Ph.D. in Computer Science (UPC, 1984) Research Interests : Robotic manipulation of deformable objects (especially textiles) Neurocomputing and machine learning for robotic control Human-robot interaction and assistive robotics Computational topology for cloth state representation Ethics in social robotics and AI Medical applications of robotics for neuromuscular disease assessment Scientific Leadership : ERC Advanced Grant recipient (2016) IEEE and EurAI Fellow Coordinator of Horizon Europe project SoftEnable and former ERC project CLOTHILDE Editorial leadership in IEEE Transactions on Robotics and multiple journals Active in ethics committees and AI policy advisory boards Advisory Committee of Ethics in AI (Catalan Government) Vice-President of CSIC Ethics Committee Member of Royal Academy of Engineering (Spain)

• Robotics
• Artificial Intelligence
• Robotic Manipulation of Deformable Objects
• +7 more

Prof. Maciej Lewenstein is a Group Leader and ICREA Professor at the Institute of Photonic Sciences (ICFO), Spain. He leads the Quantum Optics Theory group, focusing on theoretical and computational studies of quantum many-body systems, topological phases, and nonlinear optics. He holds a Dr.rer.nat. in Physics from the University of Essen, Germany. His research interests include quantum simulations, high-harmonic generation, Bose-Einstein condensation, and quantum information processing. He has pioneered work on topological quantum thermometry and ultrafast phase transitions in materials like vanadium dioxide. His group actively explores the intersection of quantum optics with condensed matter physics and quantum computing. Recent articles highlight advancements in tensor network approaches for topological phases, quantum algorithms for many-body systems, and the application of sonification to quantum entanglement dynamics. He has received a prestigious ERC Advanced Grant and the ICREA Professorship, recognizing his contributions to quantum science. Prof. Lewenstein advises over a dozen PhD students and postdoctoral researchers, fostering a dynamic research environment at ICFO. His grants include ERC and ICREA funding, supporting projects on quantum simulations and nonlinear optical phenomena. The Quantum Optics Theory group collaborates internationally, with expertise in light-matter interactions, quantum resource theory, and quantum many-body localization. Their lab develops novel methods for probing quantum systems using high-harmonic spectroscopy and quantum trajectory simulations.

• Quantum Optics
• Quantum Information
• Condensed Matter Physics
• +3 more

Pere Roca-Cusachs Soulere is a Full Professor at the University of Barcelona and Group Leader at the Institute for Bioengineering of Catalonia (IBEC). His research focuses on understanding how cells detect and respond to mechanical signals through physical and molecular mechanisms. He holds significant roles in both academic and research institutions, including leadership in IBEC's Cellular and Molecular Mechanobiology group. Education: PhD in cellular biophysics (2007) from the University of Barcelona Medical School; postdoctoral research at Columbia University (2007–2011). Established his group at IBEC in 2012. Awards include the EMBO Young Investigator Award, City of Barcelona Award, and EBSA Young Investigator Award. Research Interests: Mechanobiology, cellular mechanotransduction, force transmission, nuclear mechanics, and integrin-mediated adhesion. His work bridges biophysics, cell biology, and engineering to study how mechanical forces influence cellular behavior and disease processes. Awards: Recognized for contributions to mechanobiology, including EMBO membership and multiple prestigious awards. His lab develops innovative tools like the MIRO chip to model tumor-immune interactions. Advising & Grants: Leads a multidisciplinary team, collaborating on projects funded by grants focusing on cell mechanics, cancer biology, and tissue engineering. His work integrates experimental and computational approaches to advance understanding of cellular force dynamics. Labs/Teams: Directs the Cellular and Molecular Mechanobiology group at IBEC, a hub for cutting-edge research on mechanosensing and mechanotransduction.

• Cell Biology
• Biophysics
• Mechanobiology
• +3 more

Marta Casanellas is a full professor in the Department of Mathematics at the Polytechnic University of Catalonia (UPC) and a researcher at the Centre de Recerca Matemàtica. She teaches at the Faculty of Mathematics and Statistics, ETSEIB, and FIB. She earned her PhD in mathematics from the University of Barcelona under RM Miró-Roig, focusing on algebraic geometry and liaison theory. After completing a postdoc at UC Berkeley with a Fulbright Scholarship, she shifted her research to applications of algebraic geometry in computational biology, particularly phylogenetics. Her educational background includes a PhD from the University of Barcelona (2002), followed by a postdoctoral fellowship at UC Berkeley (2002-2003) supported by a Fulbright Scholarship. She obtained a prestigious Ramón y Cajal contract at UPC in 2003, which marked her transition to interdisciplinary research at the intersection of mathematics and biology. Casanellas' research focuses on applying algebraic and geometric techniques to phylogenetics, with particular emphasis on evolutionary models, phylogenetic invariants, and computational methods for genomic data analysis. Her work bridges pure mathematics (particularly algebraic geometry) with biological applications, developing mathematical frameworks to reconstruct evolutionary histories and understand genomic relationships. She has published extensively in both mathematics journals like Advances in Mathematics and biology journals like Molecular Biology and Evolution. Her recent publications demonstrate a consistent focus on developing algebraic methods for phylogenetic analysis, with increasing attention to heterogeneous evolutionary processes across lineages, time-reversible models, and computational implementations of theoretical results. The trend shows progression from theoretical foundations in algebraic geometry toward increasingly sophisticated and applicable computational methods for biological data. Fulbright Scholarship for postdoctoral research at UC Berkeley Ramón y Cajal contract (2003) Casanellas has supervised PhD students including A. Kedzierska (co-supervised with R. Guigó of the CRG). She has served as principal investigator for three competitive Spanish government projects involving fifteen researchers each. She has held significant academic leadership roles including Deputy Director of Research of the Department of Mathematics at UPC (2015-2018), head of studies for the Degree in Data Science and Engineering at UPC (2018-2022), and currently coordinates UPC's PhD in Bioinformatics program and Bachelor's Degree in Bioinformatics. She leads the BIO-GEOMAP research group focused on applying mathematical techniques to biological problems.

• Algebraic Geometry
• Computational Biology
• Phylogenetics
• +4 more

Jakub Vohryzek is a postdoctoral researcher at the Computational Neuroscience (CNS) Group at University Pompeu Fabra in Barcelona, supervised by Prof. Gustavo Deco. His work focuses on spacetime connectomics and whole-brain modeling, particularly in neurodegenerative disorders and psychedelic neuroscience. He holds a DPhil from the University of Oxford, where he studied under Prof. Morten Kringelbach. Research Interests: Spacetime connectomics Psychedelic-induced brain state transitions Neurotwin models for personalized medicine Cognitive and clinical applications of whole-brain dynamics Current projects include developing neurotwin models under a European grant for neurodegenerative treatments, investigating brain state dynamics in mindfulness therapy, and modeling psychedelic effects on Alzheimer’s disease. His recent work emphasizes low-dimensional brain network interactions and functional hierarchy perturbations. His research has explored connectivity profiles, oscillatory restoration in dementia, and algorithmic agent approaches to neuropsychiatric disorders. He collaborates on open-science initiatives like Brainhack and advocates for inclusive conference design.

• Computational Neuroscience
• Spacetime Connectomics
• Neurotwin Models
• +5 more

Meritxell Sáez Cornellana serves as a Contracted Professor of Ph.D in the Department of Mathematics and Data Analytics at IQS School of Engineering, part of Universitat Ramon Llull in Barcelona, Spain. She leads the ADAMIQS (Applied Data Analytics and Modelling IQS) research group funded by AGAUR, and participates in multiple interdisciplinary projects including CERTERA (advanced therapies development), NFT value drivers research, and international collaborations with China on sustainable development in population medicine. Her research focuses on applying mathematical modeling to biological systems, particularly in understanding cell fate decisions through dynamical landscapes and chemical reaction networks. She has developed geometrical frameworks for analyzing gene regulatory dynamics and cell differentiation processes, bridging mathematical theory with biological applications. Her work spans mathematical biology, dynamical systems theory, and data analytics, with particular expertise in bifurcation analysis, model reduction techniques, and statistical approaches to biological decision-making. Analysis of her publication record reveals a clear trajectory from foundational mathematical work in algebraic geometry toward increasingly biological applications, with a significant shift around 2016 toward systems biology. Her most impactful work involves creating geometrical landscapes that capture decision-making dynamics during cell fate transitions, which has been cited over 60 times. Recent publications show expansion into statistical approaches for university education and continued development of mathematical frameworks for understanding biological networks. Research leadership and funding: Principal Investigator for ADAMIQS project (Applied Data Analytics and Modelling IQS) funded by AGAUR (2022-2025) Researcher in CERTERA consortium for advanced therapies development (Carlos III Health Institute, 2024-2026) Researcher in NFT value drivers project (Fundación Ramón Areces, 2023-2026) Researcher in PoPMeD-SuSDeV project on sustainable development and global health (2023-2026) Researcher in 2IDLATRL project on learning analytics tools (2022-2023) Professor Sáez Cornellana directs the Applied Data Analytics and Modeling research line at IQS, supervising multiple research projects that integrate mathematical theory with practical applications in biology and education. Her team collaborates across disciplines, connecting mathematical modeling with biological experimentation and educational innovation, creating a unique interdisciplinary research environment focused on extracting meaningful insights from complex data systems.

• Mathematical Biology
• Dynamical Systems
• Chemical Reaction Networks
• +4 more

Dr. Stefano Signorini is a Postdoctoral Researcher and European Commission Fellow at the Institute of Photonic Sciences (ICFO), specializing in quantum photonics and nonlinear optics. His research focuses on developing advanced photonic technologies using silicon-based platforms, particularly in the areas of heralded single-photon sources and mid-infrared quantum applications. He holds a PhD in Physics from the University of Trento (Italy). Education: PhD in Physics, University of Trento, Italy His research interests include silicon photonics, quantum communication, and nonlinear optical phenomena. He has contributed to breakthroughs in integrated quantum photonic devices and mid-infrared spectroscopy. His work emphasizes practical applications of quantum technologies in sensing, cryptography, and telecommunications. Awards: European Commission Fellow Signorini’s research group at ICFO explores optoelectronics and quantum photonics, aiming to bridge fundamental science with technological innovation. His projects involve collaborations on integrated photonics platforms and novel material synthesis for enhanced optical functionalities.

• Quantum Photonics
• Nonlinear Optics
• Silicon Photonics
• +3 more

Eva Miranda Galceran is a Full Professor at the Facultat de Matemàtiques i Estadística (FME) of the Universitat Politècnica de Catalunya (UPC) , where she leads the GEOMVAP research group and directs the Laboratory of Geometry and Dynamical Systems . She holds affiliations as a Chercheur Affilié at the Observatoire de Paris , an ICMAT Honorary Vinculado , and a member of the BGSMath network. Research: Her work bridges Symplectic and Poisson Geometry with Hamiltonian Dynamics , Fluid Dynamics , and Computer Science . Key themes include geometric quantization , integrable systems , singular manifolds , and universality in Euler flows , including the construction of Turing complete fluid systems . She has advanced the singular Weinstein conjecture and explored b-symplectic and E-symplectic manifolds with applications to celestial mechanics. Awards: ICREA Academia Prizes (2016, 2021) François Deruyts Prize 2022 Friedrich Wilhelm Bessel-Forschungspreis 2022 Gauss Professor 2025 Advising: She mentors 2 Ph.D. students ( Pablo Nicolás , Søren Dyhr ) and has supervised 9 Ph.D. graduates, including Anastasia Matveeva (2022, InPHINIT La Caixa), Joaquim Brugués (2024, FI-AGAUR), and Mir Garcia (2024). Her team spans Mathematical Physics , Geometric Quantization , and Computational Complexity . Grants: Principal Investigator for projects AQUACELL (AEI-DFG, €350,000), INTERGAP (PID2023-146936NB-I00, €293,750), COMPLEXFLUIDS (BBVA, €150,000), and the ICREA Academia 2021 (€120,000). She co-leads the Maria de Maeztu CEX2020-001084-M program (€2M) at the Centre de Recerca Matemàtica (CRM) .

• Symplectic Geometry
• Poisson Geometry
• Symplectic and Contact Topology
• +12 more

Jordi Guàrdia Rúbies is a Professor in the Department of Mathematics at the Universitat Politècnica de Catalunya (UPC), affiliated with the Faculty of Mathematics and Statistics (FME). He is a member of the UPC's STNB research group (Seminari de Teoria de Nombres de Barcelona), specializing in Number Theory and Algebraic Geometry. His work bridges theoretical research with educational innovation, particularly in Open Educational Resources (OER) for STEM fields. Affiliations: UPC, STNB Group, FME. Research Interests: Computational Algebra, Valuation Theory, Modular Forms, Mathematics Education. Recent research focuses on OER development, with contributions to collaborative platforms like Gate2Math. He has published extensively in journals like Journal of Algebra and Foundations of Computational Mathematics , addressing topics such as polynomial factorization over Henselian fields and valuation theory applications. Key awards include the Distinció Vicens Vives and UPC Quality Teaching Prize. He leads projects on OER quality assessment and has collaborated on EU-funded initiatives like the Erasmus+ Gate2Math program. His teaching contributions include innovative projects like Aprenentatge de l’Estadística basat en casos pràctics transversals , emphasizing practical case studies in statistics education.

• Number Theory
• Algebraic Geometry
• Computational Algebra
• +3 more

Raul Adrian Oset Sinha is an Associate Professor in the Department of Mathematics at the Faculty of Mathematics, University of Valencia, Spain. His research is centered on singularity theory, differential geometry, and topology, particularly focusing on stable maps, geometric invariants, and the geometry of singular surfaces. His work lies at the intersection of Geometry and Topology , Singularity Theory , and Global Analysis . He investigates the geometric structure of mappings from manifolds, especially in low dimensions, analyzing projections, curvature properties, and topological invariants of singular images. The trends in his publications reveal a consistent focus on stable mappings , projections of surfaces , and classification of singularities . His recent work explores axial curvature, frontal surfaces, and augmentations, contributing to the understanding of geometric behavior in higher codimensions and corank-one settings. He is a member of the research group GEOSING: Singularities, Generic Geometry and Applications , collaborating with leading experts such as M. A. S. Ruas, F. Tari, and K. Saji. His publications appear in journals like Mathematische Annalen , Advances in Geometry , and Journal of Singularities . Oset Sinha earned his PhD from the University of Valencia in 2009 under the supervision of Dr. Maria del Carmen Romero Fuster. His thesis, Topological invariants of stable maps from 3-manifolds to three-space , laid the foundation for his ongoing research in singularity theory. He has advised students and supervised research, though specific names are not listed. He actively collaborates internationally and contributes to the academic community through peer reviewing and editorial work.

• Geometry and Topology
• Singularity Theory
• Differential Geometry
• +7 more

Adán Cabello Quintero is a University Professor at the University of Seville, affiliated with the Department of Applied Physics II at the Higher Technical School of Building Engineering. His research focuses on foundational aspects of quantum mechanics, particularly quantum contextuality, nonlocality, and their applications in quantum information theory. He leads the research group Fundamentos de Mecánica Cuántica and has coordinated multiple projects on quantum communication and quantum foundations. His work explores the boundaries of quantum theory through experiments and theoretical frameworks, such as the exclusivity principle and graph-theoretic approaches. Key contributions include studies on state-independent quantum contextuality, device-independent quantum correlations, and Bell test experiments. He has authored numerous textbooks, including Física I: Mecánica and La curiosidad y el universo , and edited volumes on quantum phenomena. Cabello Quintero has participated in over 100 international conferences and workshops, presenting on topics ranging from loophole-free Bell tests to the thermodynamical cost of contextuality. His research bridges theoretical quantum foundations with experimental implementations, emphasizing the interplay between quantum correlations and classical limits.

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

Ramon Ferrer Cancho is an Associate Professor at the Polytechnic University of Catalonia's Department of Computer Science, affiliated with the Barcelona School of Informatics and the LQMC research group (Quantitative, Mathematical, and Computational Linguistics). His work focuses on quantitative linguistics, information theory, and network theory, with applications in language structure, evolution, and animal communication. Education: Doctor in Computer Science, Advanced Studies Diploma in Applied Physics and Simulation. Research Interests: Dependency syntax, linguistic laws (Zipf's law, Menzerath-Altmann law), computational models of language, and cross-disciplinary studies in biology and cognitive science. He leads projects on language optimization, complexity, and data analysis. Recent work includes studies on syntactic dependency distances, ape gesture patterns, and bottlenose dolphin communication parallels. His research bridges computer science, linguistics, and biology, emphasizing universal principles in communication systems. Notable contributions include theoretical frameworks for dependency distance minimization, optimization models of language structure, and empirical analyses of primate vocal sequences.

• Quantitative Linguistics
• Information Theory
• Network Theory
• +3 more

Jose Javier Majadas Soto is a Professor at the Department of Mathematics, Faculty of Mathematics, University of Santiago de Compostela. He is affiliated with the Galician Mathematical Research and Technology Center (CITMAga) and part of the ALX Algebra research group. His research focuses on Commutative Algebra, Algebraic Geometry, and Homological Algebra, particularly in Hochschild homology, complete intersection properties, and smoothness criteria. Key collaborations include Antonio G. Rodicio and Amalia Blanco. Publications span homological criteria for rings, Tate complexes, and Hochschild cohomology of hypersurfaces. He has contributed to zbMATH with 34 publications since 1988, including books and preprints.

• Algebra
• Commutative Algebra
• Algebraic Geometry
• +3 more

Juan Jesús Donaire Benito is an Assistant Professor in the Department of Mathematics at Universitat Autònoma de Barcelona (UAB). His research focuses on complex analysis, real analysis, and functional analysis, with particular emphasis on topics such as Hausdorff dimension, analytic functions, and Zygmund spaces. He holds a Ph.D. in Mathematics (1995) and a Degree in Sciences (1990), both from UAB. Donaire has been actively involved in research projects funded by grants from the European Regional Development Fund (FEDER), the Spanish Ministry of Economy and Competitiveness (MINECO), and other institutions. His work spans geometric function theory, singular integrals, and boundary value problems. Education: Ph.D. in Mathematics, Universitat Autònoma de Barcelona (1995) Degree in Sciences, Universitat Autònoma de Barcelona (1990) Research Projects (Selected): STOCHASTIC PROPERTIES IN GEOMETRIC FUNCTION THEORY (2022–2026, FEDER) Aspectos probabilísticos y geométricos de la teoría de funciones (2018–2022, MINECO/FEDER) Diversos aspectos de la teoría de funciones y aplicaciones (2009–2012, MEC) Research Interests: Focuses on complex analysis, including topics like singular integrals, Hausdorff dimension, analytic function theory, and boundary behavior of functions. He has contributed to studies on Zygmund spaces, removable singularities, and harmonic gradients.

• Complex Analysis
• Real Analysis
• Functional Analysis
• +3 more

Angel Merchan Perez is a faculty member at the Universidad Politécnica de Madrid , affiliated with the College of Computer Science and the Computer Systems Architecture and Technology Department . He is a key member of the Center for Biomedical Technology (CTB) since 2011 and the Technologies for Health Sciences Research Group since 2018. His work bridges neuroscience and computational technologies, focusing on ultrastructural analysis of the brain. Doctoral Postdoc: Harvard Medical School (1992-1995) Current Projects: Cajal Blue Brain Project, Human Brain Project His research focuses on developing advanced 3D electron microscopy techniques (FIB-SEM) for synaptic reconstruction, enabling quantitative analysis of synapse distribution and density in rat, mouse, and human cerebral cortex . He also contributed to image-analysis software like Espina for automated synapse detection. Recent publications highlight his expertise in: 3D Synaptic Mapping in Hippocampal Neurons Neurodevelopmental Disorder Pathology (Schizophrenia, Autism) Thalamocortical Circuit Complexity Mitochondrial Distribution in Neuropil Software Tools for Electron Microscopy

• Neuroscience
• Electron Microscopy
• Synaptic Connectivity
• +3 more