جست‌وجوی استاد و پژوهشگر

Maria José Serna Iglesiasمشاهده پروفایل

استاد

• Algorithmics
• Complexity Theory
• Social Network Analysis
• +۳ مورد دیگر

Maria José Serna Iglesias is a Full Professor at the Departament de Ciències de la Computació of the Universitat Politècnica de Catalunya (UPC), Barcelona Tech . She leads the research group ALBCOM (Algorithmics, Bioinformatics, Complexity and Formal Methods) and coordinates doctoral programs in Computing. Her research focuses on algorithmics, computational complexity, social network analysis, and game theory. She actively participates in conferences such as SEA 2023-2025 , CIAC , and Algorithmic Decision Theory . Teaching includes advanced algorithmics courses for undergraduate and master’s programs. Current projects include the MOTION initiative (PID2020-112581GB-C21) on large-scale data processing. Past projects involve EU initiatives like WISEBED and DELIS . Her work bridges theoretical computer science with applications in networks and social systems, emphasizing algorithmic solutions for complex problems.

Luís Pedro Montejano Cantoralمشاهده پروفایل

استادیار

• Discrete Mathematics
• Graph Theory
• Matroid Theory
• +۳ مورد دیگر

Luís Pedro Montejano Cantoral is an Assistant Professor at the Department of Computer Engineering and Mathematics (DEIM) of Rovira i Virgili University (URV) under the Serra Húnter Fellow program since 2020. He holds a PhD in Applied Mathematics (Cum Laude and International Doctor) from Universitat Politècnica de Catalunya (UPC, Spain, 2011), preceded by undergraduate and master's studies in Mathematics at Universidad Nacional Autónoma de México (UNAM, 2000–2007). His postdoctoral research included stays at the Institut Montpelliérain Alexander Grothendieck (Université de Montpellier, France, 2012–2015) and Centro de Investigación en Matemáticas (CIMAT, Mexico, 2015–2017). His research focuses on discrete mathematics, with emphasis on graph theory, matroid theory, discrete geometry, and algorithmic problems. He explores intersections between combinatorial structures and computational methods, often addressing theoretical and applied challenges in these domains.

• Stochastic Analysis
• Malliavin Calculus
• Stochastic Differential Equations (SDEs)
• +۷ مورد دیگر

Eulàlia Nualart is Associate Professor at Universitat Pompeu Fabra (UPF) under the Serra Hunter Program and an Affiliated Professor at the Barcelona Graduate School of Economics (Barcelona GSE). She serves as Deputy Director of the Barcelona GSE Master Program in Economics. Her academic affiliation is with the Department of Economics and Business at UPF, located at the Jaume I Building on the Ciutadella Campus in Barcelona. Research Interests: Her work centers on stochastic analysis and its applications, particularly in finance. Key areas include Malliavin calculus, stochastic and stochastic partial differential equations (SDEs and SPDEs), fractional Brownian motion, Lévy processes, and statistical inference for parametric models driven by stochastic dynamics. These fields are central to modern probability theory and quantitative finance. Publications and Research Trends: Her research has been published in leading journals such as Stochastic Processes and their Applications , The Annals of Probability , SPDEs: Analysis and Computations , and Journal of Functional Analysis . The body of her work reflects a deep engagement with theoretical probability and its practical modeling implications, especially in financial contexts. Marie Curie Career Integration Grant (2013) Advising and Grants: While specific students are not listed, her role as Deputy Director of a master's program and her publication record suggest active mentorship and research supervision. She secured competitive European funding through the Marie Curie program, indicating strong grant-writing ability and research leadership. No other grants are mentioned in the text. Labs and Research Teams: Though no formal lab is named, she is embedded in the research ecosystem of the Department of Economics and Business at UPF and collaborates with the Barcelona GSE, a major hub for economics and finance research in Europe. Her work likely contributes to broader research groups focused on mathematical economics and financial modeling.

• Symplectic Geometry
• Poisson Geometry
• Symplectic and Contact Topology
• +۱۲ مورد دیگر

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) .

• Number Theory
• Algebraic Geometry
• Computational Algebra
• +۳ مورد دیگر

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.

Miguel Mascaró Portellsمشاهده پروفایل

مدرس ارشد

• Computer Science
• Web Development
• Cloud Computing
• +۷ مورد دیگر

Dr. Miguel Mascaró Portells is a Senior Lecturer at the University of the Balearic Islands in the Department of Mathematics and Computer Science. He holds a PhD in Computer Science and actively contributes to research groups focused on computer graphics, AI, and multimedia technologies. Research Focus: His work encompasses web development, cloud computing, Big Data applications, neural vision systems, multimedia content management, and geolocation technologies. Specific interests include: Object-Oriented Programming (OOP) and SOA services Mobile device programming and TDT visualization Cloud-based multiprocessing systems Home automation and control systems Teaching: Current courses include: Advanced Algorithms Programming - Computer Science I Final Degree Project supervision SOA solutions for tourism Affiliations: Active member of: Computer Graphics, Vision and AI Unit (UGIVIA) Multimedia Information Technology (TIM) Research Group

• Renewable Energy Integration
• Power Systems Optimization
• Energy Storage
• +۷ مورد دیگر

Daniel Fernández-Muñoz is an Associate Professor at the Universidad Politécnica de Madrid (UPM) , affiliated with the Department of Physical Electronics, Electrical Engineering and Applied Physics. He earned his PhD in 2021 with a thesis on "Generation scheduling in isolated power systems with high variable renewable generation and pump-storage," receiving both the Extraordinary Doctoral Award and Carlos González Cruz Award. He has held academic roles since 2006, including Assistant Professor positions from 2016-2021 and a current permanent Associate Professor appointment. Education : PhD in Electrical Engineering (UPM), DEA in Electrical Engineering (2010), Civil Engineering degree (2006) Research Focus : Renewable energy integration, power system optimization, battery degradation modeling, and frequency control in isolated grids Collaborations : Instituto de Sistemas Eléctricos de Potencia (Austria), EERA Joint Programme on Energy Storage, H2020 project eNeuron His work emphasizes hybrid wind-battery systems , pumped-storage hydropower , and virtual power plants , with notable publications in JCR Q1 journals. He has contributed to the Energy2Win project on sustainability education and served as a peer reviewer for multiple scientific journals. Scientific Awards Premio Extraordinario de Doctorado (UPM) Premio Carlos González Cruz Teaching activities include Physics for Biomedical Engineering and Energy Systems for Telecommunications. He has participated in international conferences as an invited speaker and contributed to projects funded by the Spanish government and private entities.

Carlos Palazuelos Cabezónمشاهده پروفایل

استاد

• Functional Analysis
• Quantum Information Theory
• Operator Spaces
• +۷ مورد دیگر

Carlos Palazuelos Cabezón is a Professor in the Department of Mathematical Analysis and Applied Mathematics at the Faculty of Mathematical Sciences, Universidad Complutense de Madrid (UCM), with a joint affiliation at the Instituto de Ciencias Matemáticas (ICMAT). He holds a Ramón y Cajal contract and has been a Full Professor since 2024, following his role as Associate Professor from 2019 to 2024. His work bridges deep mathematical theory and quantum information science. Research Interests: His primary research lies at the intersection of functional analysis and quantum information theory. He investigates operator spaces and their applications to quantum entanglement, Bell inequalities, quantum channels, and nonlocal games. A second major line involves noncommutative harmonic analysis, particularly hypercontractivity in von Neumann algebras. His work is highly theoretical and appears in top mathematical and physics journals. Publication Trends: His recent publications demonstrate a consistent focus on the mathematical foundations of quantum information, particularly using tools from operator space theory and Banach space geometry to analyze quantum nonlocality, entanglement, and computational models. There is a strong trend toward solving foundational problems in quantum theory using advanced functional analysis. Scientific Awards: Premio Extraordinario de Doctorado (2008/2009) Doctorado Europeo Advising and Grants: While no specific students are listed, he is part of the MathQI research group and has likely mentored graduate students. He has been supported by prestigious postdoctoral and permanent research contracts in Spain, including the Juan de la Cierva and Ramón y Cajal programs, which are highly competitive grants for early-career and established researchers, respectively. Labs and Teams: He is a member of the MathQI research group (Mathematical Quantum Information) at UCM and is affiliated with ICMAT, a leading mathematics research institute in Spain. These affiliations provide a collaborative environment for interdisciplinary research in mathematical physics and quantum information.

• Artificial Intelligence
• Computer Science
• Swarm Robotics
• +۵ مورد دیگر

Ramón Luis Rizo Aldeguer is a University Professor in the Department of Computer Science and Artificial Intelligence at the Higher Polytechnic School of the University of Alicante. He has held this position since 1996 and continues to be actively involved in teaching and research as recently as 2025. He previously served in various leadership roles including Director of the Department of Computer Science and Artificial Intelligence (1997-2004) and Deputy Director of the Institutional Projects Area at the University of Alicante (2012-2020). His educational background includes a PhD in Computer Science from the Polytechnic University of Valencia (1992) and a degree in Mathematics from the University of Valencia (1977). He has been a member of the Spanish Association for Artificial Intelligence since 1990 and has held leadership positions within the organization. Rizo Aldeguer's research focuses on artificial intelligence with particular emphasis on swarm robotics, UAV deployment, and deep reinforcement learning. His work bridges theoretical foundations with practical applications in robotics and autonomous systems. He has made significant contributions to educational methodologies, particularly in integrating computational tools into engineering education. His publication record shows a consistent trajectory in swarm intelligence and robotics, with recent publications (2018-2023) demonstrating increasing sophistication in applying deep reinforcement learning to complex multi-agent systems. His research spans both theoretical advancements and practical implementations in robotics and autonomous systems. Fifteen five-year research periods (trienios) Six teaching merit periods Five six-year research periods (sexenios) President of Organizing Committee of VI Conference of Spanish Association for Artificial Intelligence (1995) President of Scientific Committee of CAEPIA (1999) Rizo Aldeguer has supervised 14 doctoral theses, with many receiving the highest honors (SOBRESALIENTE CUM-LAUDE). He has participated as a researcher in over 30 competitive public research projects, serving as principal investigator in 12 of them. His educational projects include innovative teaching methods and the development of computational tools for engineering education. He has been instrumental in the design and implementation of computer science programs at both the University of Alicante and the Polytechnic University of Valencia. He is a founding member of the University Institute for Computer Research and directed the Industrial Computing and Artificial Intelligence research group from 1992 to 2004. His current research continues to focus on swarm robotics and intelligent systems, with active participation in the Valencian Graduate School and Research Network of Artificial Intelligence since 2021.

• Health Economics
• Health Services Research
• System Dynamics
• +۵ مورد دیگر

Patricia Lucía Barber Pérez is a Full Professor at the University of Las Palmas de Gran Canaria, where she works in the Department of Quantitative Methods in Economics and Management within the School of Economics, Business and Tourism. She is a prominent member of the Health Economics and Public Policies Research Group and serves as Principal Investigator for multiple national and European health workforce planning projects. Her professional activities include teaching courses such as Final Degree Project (Economics), Final Degree Project (Business Administration and Management), and Basic Statistics Applied to the Tourism Sector. Dr. Barber's research focuses primarily on Health Economics with particular emphasis on system dynamics and applied simulation models for healthcare planning and management systems, especially human resources management. Her work encompasses structural models of simultaneous equations and empirical applications in health economics areas including smoking, economic valuation, and equity. She has made significant contributions to understanding healthcare workforce needs, physician supply-demand dynamics, and pandemic economic impacts. The analysis of her recent publications reveals a strong focus on health workforce planning and forecasting, with particular attention to specialist physician needs across various medical fields. Her research employs sophisticated modeling techniques including system dynamics to project future healthcare workforce requirements. A notable trend is her extensive work on pandemic-related economic impacts and healthcare system resilience, reflecting the evolving priorities in health economics research following global health crises. Dr. Barber has participated in numerous research projects funded by the Ministry of Health, European Commission, and local government entities. Her collaborative work extends across Spain and internationally, particularly with Latin American countries on healthcare workforce planning initiatives. She has served as Principal Investigator for major projects including the 2021-2035 Specialist Physician Supply and Demand Report for Spain and various European health initiatives. Her academic contributions span multiple research teams, most notably the Health Economics and Public Policies Research Group at ULPGC. She frequently collaborates with researchers across Spain and internationally, particularly with B. González López-Valcárcel on numerous health economics projects. Her work bridges academic research with practical health policy applications, influencing healthcare planning at regional, national, and European levels.

Yann Pontyمشاهده پروفایل

پژوهشگر

• RNA Folding
• RNA Design
• RNA Evolution
• +۹ مورد دیگر

Yann Ponty is a tenured CNRS Researcher at the Computer Science Department (LIX) of École Polytechnique (Institut Polytechnique de Paris, France). He leads the AMIBio team and serves as Deputy Director of LIX. His work focuses on developing bioinformatics methods at the intersection of computer science, mathematics, and molecular biology, particularly for RNA structure prediction, design, and evolution. He holds leadership roles in the ISCB Board of Directors (2025-2027) and the HDR referent for the IDIA department (CS&Interactions) at IP Paris. Research Interests: RNA folding/design/evolution, RNA-RNA/RNA-protein interactions, random generation, enumerative combinatorics, discrete algorithms, parameterized complexity, RNA visualization Key Contributions: Developed algorithms for RNA inverse folding, pseudoknot modeling, and dynamic programming optimization Collaborations: Partnerships with institutions like Simon Fraser University, Boston College, and Université Paris-Saclay His recent publications (15 most recent) span RNA structure prediction, pseudoknot partition functions, linear-time inverse folding algorithms, and parameterized sampling techniques. The work emphasizes dynamic programming, combinatorial approaches, and integration of experimental data for improving RNA modeling. Scientific awards include election to the ISCB Board of Directors (2025-2027) and leadership roles in academic networks like GdR BIM. He actively contributes to software development (VARNA, RNANR, SPARCS, IncaRNAtion, RNARedPrint) and serves as Associate Editor for Bioinformatics (OUP). Teaching engagements include graduate-level courses in combinatorial optimization, RNA bioinformatics, and algorithms at Université Paris-Saclay and École Polytechnique.

• Structural Health Monitoring
• Wind Energy Systems
• Machine Learning Applications
• +۳ مورد دیگر

David Agis Cherta is an academic affiliated with the Universitat Politècnica de Catalunya (UPC), specifically the Escola Tècnica Superior d'Enginyeria Industrial de Barcelona (ETSEIB) and the Departament d'Estadística i Investigació Operativa . He leads research in the CoDAlab - Control, Dades i Intel·ligència Artificial group and the WinTurCoM - Wind Turbine Condition Monitoring subgroup. His work spans structural health monitoring, wind energy systems, environmental health, and statistical modeling. Agis has published extensively in journals such as Sensors , Environmental Health Perspectives , and Methods in Ecology and Evolution . Education & Research Focus : His doctoral thesis (2019) explored vibration-based structural health monitoring using piezoelectric transducers. Key areas include machine learning applications for fault detection in wind turbines, statistical methodologies for environmental data analysis, and interdisciplinary research at the intersection of engineering and public health. Awards & Projects : Received the EACS Early Career Award in Structural Control & Health Monitoring (2020) . Active in competitive research projects, including EU-funded initiatives on wind turbine condition monitoring and environmental pollution studies. Collaborates internationally, with projects focusing on digital twins, predictive maintenance, and data-driven applications in civil engineering. Public Engagement : His research bridges technical innovation and societal impact, addressing issues like air quality effects of public transport strikes and long-term health impacts of urban pollution. He contributes to open-source tools like the Good R package for count data analysis.

Sergio Gómez Jiménezمشاهده پروفایل

دانشیار

• Complex Networks
• Complex Systems
• Neural Networks
• +۴ مورد دیگر

Sergio Gómez Jiménez is an Associate Professor in the Department of Computer Engineering and Mathematics at Rovira i Virgili University (URV), Tarragona, Spain. He joined URV in 1995 and has held his current position since 1997. He obtained degrees in Physics (1990) and Mathematics (1995) and a PhD in Physics (1994) from the Universitat de Barcelona. His research focuses on complex networks, including community structure analysis, epidemic spreading, urban congestion, and applications to biology, medicine, and social systems. He has authored over 100 publications in high-impact journals like Nature Methods and Physical Review Letters. He coordinates the interuniversity Master's in Biomedical Data Science and the PhD Program in Bioinformatics. His editorial roles include Associate Editor of Complexity and Review Editor of Frontiers in Physics. Notable awards include the American Physical Society's Outstanding Referee (2015) and the Web Science Trust's Test of Time Award (2024). His work on modeling the spatiotemporal spread of epidemics, such as the 2020 COVID-19 pandemic, has received significant attention. He also contributed to urban traffic congestion analysis and developed algorithms for hierarchical clustering (e.g., MultiDendrograms). Collaborations span institutions like the University of Oxford and CERN, reflecting his interdisciplinary approach to complex systems.

• Combinatorics
• Graph Theory
• Algebraic Combinatorics
• +۴ مورد دیگر

Lluis Vena Cros is a distinguished researcher in the Department of Mathematics at Universitat Politècnica de Catalunya - BarcelonaTech (UPC-BarcelonaTech), affiliated with the Faculty of Mathematics and Statistics. He is a core member of the GAPCOMB research group, which specializes in Geometric, Algebraic and Probabilistic Combinatorics. His research spans multiple domains within combinatorics, with particular emphasis on graph theory, algebraic combinatorics, geometric combinatorics, and probabilistic combinatorics. Vena Cros has made significant theoretical contributions to the understanding of graph homomorphisms, Tutte polynomials, Ramsey theory, and extremal combinatorial structures. His work often explores the deep connections between combinatorial objects and other mathematical disciplines such as topology, algebra, and discrete geometry. An analysis of his recent publications reveals a consistent focus on combinatorial structures with applications across multiple mathematical domains. His work on Tutte polynomials for various graph structures demonstrates a unifying approach to graph invariants, while his research in Ramsey theory explores structural properties of large combinatorial objects. The recurring theme across his publications is the investigation of extremal properties and computational aspects of combinatorial configurations. Vena Cros actively participates in multiple research projects including 'Structure, Randomness and Computational Methods in Extremal Combinatorics,' 'COntemporary COmbinatorics and Applications (COCOA),' and the 'Grup GAPCOMB de la UPC.' These projects involve collaborations with numerous researchers across Spain and internationally, reflecting his significant standing in the combinatorial mathematics community. His work has been supported by various funding bodies including the Spanish State Research Agency and the European Union's Horizon 2020 program. As a member of the GAPCOMB research group, Vena Cros contributes to a vibrant mathematical community focused on advancing combinatorial theory and its applications. The group maintains strong connections with other research centers and regularly participates in international conferences and collaborative projects, fostering the exchange of ideas across the global combinatorial mathematics community.

• Nonlinear Differential Equations
• Mathematical Analysis
• Optimal Control
• +۳ مورد دیگر

Francisco Javier Fernandez Fernandez is a Professor at the University of Seville's Department of Mathematical Analysis. His research focuses on nonlinear differential equations, optimal control, environmental modeling, and mathematical analysis. He teaches courses such as 'Derivation and Integration of Functions of a Real Variable' and 'Professional Software in Environmental Issues' across various mathematics and interdisciplinary programs. His research group, 'Nonlinear Differential Equations,' explores topics like Stieltjes differential equations, population dynamics, and eutrophication control. Recent work emphasizes applications in environmental systems (e.g., Vespa Velutina population modeling, urban heat islands) and digital twin technologies for real-time simulation. Publications from 2025 highlight advancements in Stieltjes derivative theory and functional spaces, while earlier works address water circulation optimization and 3D eutrophication models. His contributions span over two decades, with a strong emphasis on bridging mathematical theory and environmental engineering challenges. No scientific awards are listed, but his extensive publication record reflects sustained academic impact. Advising and grant details are not explicitly mentioned in the provided texts, though his teaching roles suggest involvement in mentoring students through coursework.