جست‌وجوی استاد و پژوهشگر

DANIEL CAO LABORAمشاهده پروفایل

استاد

• Nonlinear Differential Equations
• Fractional Calculus
• Mathematical Analysis
• +۳ مورد دیگر

Daniel Cao Labora is a University Professor in the Department of Statistics, Mathematical Analysis and Optimization at the University of Santiago de Compostela, affiliated with the Faculty of Mathematics. He holds a PhD from the same university, awarded in 2019 for his thesis titled New methods for the study and resolution of equations involving fractional operators and their applications , supervised by Dr. Juan José Nieto Roig and Dr. Rosana Rodriguez Lopez. He is a member of the Galician Mathematical Research and Technology Center (CITMAga) and the research group EDNL: Nonlinear differential equations . His research focuses on advanced mathematical analysis, particularly in nonlinear differential equations , fractional calculus , and their applications. Key areas include boundary value problems, fractional operators, and the interplay between differential equations and functional analysis. His work bridges theoretical developments with practical applications in engineering, physics, and computational sciences. Recent publications highlight contributions to Borwein integrals via residue theory, fractional fractals, and time-fractional beam dynamics. His articles frequently explore existence theorems, uniqueness criteria, and novel analytical methods for complex systems. Beyond technical research, he has organized academic events like the VI Encontro da Mocidade Investigadora . No academic awards or grants are explicitly listed in the provided materials. His advising record is not detailed here.

• Theoretical Computer Science
• Computational Learning Theory
• Formal Methods
• +۷ مورد دیگر

Jose Luis Balcazar Navarro is a Professor in the Department of Computer Science at the Universitat Politècnica de Catalunya (UPC), affiliated with the Faculty of Informatics of Barcelona (FIB). He is a key member of the ALBCOM research group, focusing on Algorithmics, Bioinformatics, Complexity, and Formal Methods. His work spans theoretical and applied aspects of computer science, with strong ties to mathematical foundations and data-driven methodologies. Research Interests: Theoretical Computer Science and Computational Learning Theory Formal Concept Analysis and Knowledge Discovery Association Rule Mining and Data Mining Quality Measures Parameter-free and self-tuning algorithms in data mining Applications in educational data mining and bioinformatics Recent Research Trends: His most recent publications emphasize formal and computational aspects of data mining, particularly in the discovery of association rules, partial implications, and probabilistic entailments. He investigates quality measures such as confidence boost and develops algorithms for global optimality in clustering and efficient closure computation. A recurring theme is the integration of logical formalisms with machine learning and data analysis, especially in educational and diagnostic contexts. Scientific Awards: Premiada (recognized activity, likely an award or distinction) Advising and Grants: He has advised multiple doctoral and research students, including M. Piceno and Cristina Tîrnauca. His research is supported by competitive R+D+i projects, including national and regional grants focused on complex data analysis, algorithmic learning, and educational innovation. He has led or participated in projects such as 'Modelos y Técnicas para el Procesamiento de Información a Gran Escala' and 'Gestión y Análisis de Datos Complejos'. Labs and Research Groups: He is a core member of the ALBCOM research group and has collaborated with LARCA (Laboratory of Relational Algorithmics, Complexity, and Learning) and other UPC research teams. His work is deeply integrated into the Institut de Matemàtiques de la UPC-BarcelonaTech, reflecting the mathematical rigor of his contributions.

• Complex Analysis
• Functional Analysis
• Harmonic Analysis
• +۳ مورد دیگر

Joaquim Bruna Floris is a Professor in the Department of Mathematics at Universitat Autònoma de Barcelona (UAB). He has held leadership roles including Director of the Mathematics Department (1998–2002) and Director of the Mathematical Consultancy Service (1999–2002). His academic career began with a Degree in Mathematics from Universitat de Barcelona (1975) and a PhD in Mathematical Sciences from UAB (1978). He has been affiliated with UAB since 1975 in various capacities, including teaching and research roles. His research focuses on complex analysis, harmonic functions, and functional analysis, with contributions to topics like Hardy spaces, holomorphic functions, and singular integrals. He has led 14 research projects funded by institutions such as the Spanish Ministry of Education and the European Commission, exploring areas from function theory to signal processing fundamentals. Recent publications (2015–2024) emphasize calculus applications, geometric formulas, and financial mathematics. His work bridges pure and applied mathematics, with pedagogical contributions to undergraduate education through materials like the multidimensional fundamental theorem of calculus.

• Dynamical Systems
• Nonlinear Dynamics
• Difference Equations
• +۳ مورد دیگر

Dr. Víctor Mañosa Fernández is a full Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Mathematics and the School of Industrial, Aerospace, and Audiovisual Engineering of Terrassa (ESEIAAT). He leads research within the UPCDS Dynamical Systems Group and is part of the BarcelonaTech Mathematics Institute (IMTECNBC). Affiliations: Professor at the Department of Mathematics, UPC Member of the UPCDS Dynamical Systems Research Group Institut de Matemàtiques de la UPC-BarcelonaTech Research Expertise: His work focuses on dynamical systems, nonlinear dynamics, difference equations, and bifurcation theory. Specific interests include integrable maps, periodic solutions, invariant manifolds, and applications to mathematical physics and engineering systems. Recent Contributions: Recent studies explore Kahan-Hirota-Kimura maps, invariant graphs in piecewise linear systems, and periodic traveling wave persistence. He also investigates global periodicity conditions and stability indices in both continuous and discrete systems. Grants & Projects: He has led multiple competitive projects, including the UPCDS group's funding and research on dynamical systems applications. Collaborations span control theory, nonlinear analysis, and interdisciplinary applications. Publications: Over 190 academic contributions, including articles in Journal of Differential Equations , Nonlinear Dynamics , and Communications in Nonlinear Science . Key topics include Hamiltonian systems, discrete integrability, and bifurcation phenomena.

• Musical Acoustics
• Percussive Dynamics
• Automatic Guidance
• +۳ مورد دیگر

Joaquim Agullo Batlle is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Mechanical Engineering at the Barcelona School of Industrial Engineering (ETSEIB). His research focuses on musical acoustics, percussive dynamics, automatic guidance systems, and omnidirectional wheel design. He has authored numerous publications and collaborated on projects related to multibody dynamics, robotics, and vibration analysis. His academic career includes over 295 documented activities, spanning research articles, book chapters, and contributions to conferences. Notable works include studies on rigid body dynamics, impact scenarios in mechanical systems, and acoustic analysis of musical instruments. He has also contributed to educational materials, such as textbooks on mechanical engineering and vibration theory. Agullo Batlle’s research has addressed practical applications like robot calibration, mobile localization, and the design of orthotic devices for spinal injury patients. His work frequently intersects engineering mechanics with interdisciplinary fields like acoustics and mechatronics.

• Computer-Aided Design (CAD)
• Graphic Engineering
• Educational Technology
• +۴ مورد دیگر

Pedro Ignacio Álvarez Peñín is a Professor at the University of Oviedo, Department of Construction and Manufacturing Engineering, specializing in Graphic Expression in Engineering. His research focuses on Computer-Aided Design (CAD), educational technology, and applications of graphic engineering. He has directed four doctoral theses and actively contributes to academic conferences and publications. Notable projects include the development of platforms like DIBUTEC and Selfcad, which enhance interactive learning in CAD and engineering graphics. His work integrates CAD with medical imaging for surgical simulations and explores BIM technology in industrial education. He has collaborated extensively on projects addressing curriculum adaptation to European standards and modernizing technical drawing education through multimedia and web-based tools. Institutions: University of Oviedo (1988–present) Education: Ph.D. in Graphic Design Systems from the University of Oviedo (1988). Research Interests: CAD in education, interactive learning systems, BIM technology, medical imaging applications, graphic engineering pedagogy, and software integration for engineering projects. He emphasizes practical applications of CAD tools in both academic and industrial contexts. Articles Trends: His work spans CAD education, software development for engineering documentation, and the integration of technology into teaching. Recent projects highlight cross-platform tools (e.g., DIBUTEC), mobile applications for energy simulation, and BIM-based industrial training. Earlier contributions explored algorithmic approaches to CAD systems and 3D modeling for surgical planning. Directed Theses: Bernardo Busto Parra (2016): Industrial project management with ICT. Pablo Pando Cerra (2006): 3D CAD learning environments. Ramón Rubio-García (2003): Modular CAD applications. Maximo Roman Perez Morales (2002): Descriptive geometry teaching tools. Grants/Projects: Multiple collaborations on EU-funded educational technology initiatives and graphic engineering research. Labs/Teams: Part of the University of Oviedo’s Graphic Engineering research group, focusing on CAD integration and educational innovation.

• Algorithms
• Data Structures
• Combinatorics
• +۹ مورد دیگر

Conrado Martinez Parra is a Professor in the Department of Computer Science at the Faculty of Computer Science, Universitat Politècnica de Catalunya (UPC). He is a core member of the ALBCOM research group, which focuses on Algorithmics, Bioinformatics, Complexity, and Formal Methods. Affiliation : Department of Computer Science, Faculty of Computer Science (FIB), UPC Research Group : ALBCOM - Algorísmia, Bioinformàtica, Complexitat i Mètodes Formals Email : conrado@cs.upc.edu ORCID : 0000-0003-1302-9067 Researcher ID : G-4629-2015 His research spans theoretical computer science with a strong emphasis on the design and analysis of algorithms and data structures. His work includes average-case analysis of algorithms, combinatorial generation, probabilistic methods in algorithmics, and applications in information retrieval and data stream processing. He has extensively studied multidimensional data structures such as quadtrees, K-d trees, and skip lists, analyzing their performance under various query models including partial match and orthogonal range searches. His recent publications reveal a sustained focus on algorithmic efficiency, sampling techniques, and probabilistic modeling in data structures. Trends indicate a deep engagement with randomized algorithms, unbiased estimation, and cache-efficient selection methods, reflecting both theoretical rigor and practical applicability in modern computing environments. Scientific Contributions Extensive publication record spanning over three decades, from 1989 to 2024. Active in major algorithmic conferences such as ANALCO, AofA, and AAAI. Contributions to foundational algorithm analysis including Hoare’s FIND, Quickselect variants, and deletion in binary search trees. Collaborative research with prominent figures in theoretical computer science across Europe. Professor Martinez Parra has advised or collaborated with several doctoral students, including Gustavo Lau, whose thesis on partial match queries he supervised. He has participated in numerous competitive R&D projects funded by national and regional programs, focusing on large-scale information processing and graph-based computing models. His work is supported by long-standing grants from Spanish and Catalan research councils. He is affiliated with the ALBCOM research group, a leading team in algorithmic research at UPC, contributing to both theoretical advances and practical implementations in combinatorics and data structure optimization.

• Autonomous Navigation for Robots
• Deep Learning
• Artificial Intelligence
• +۷ مورد دیگر

Jesús Tordesillas Torres is an Assistant Professor in the Department of Electronics, Automation, and Communications at the School of Engineering, Comillas Pontifical University. He joined the institution in June 2024, bringing extensive experience from postdoctoral research at MIT and ETH Zurich, and prior academic training from MIT and the Polytechnic University of Madrid. Education: PhD in Aeronautics and Astronautics, Massachusetts Institute of Technology (MIT), 2022 MS in Aeronautics and Astronautics, MIT, 2019 MS in Industrial Engineering, Polytechnic University of Madrid, 2019 BS in Industrial Engineering, Polytechnic University of Madrid, 2016 His research focuses on robotics, particularly autonomous navigation, trajectory planning, and optimization under uncertainty. He integrates deep learning and control theory to develop systems capable of safe, fast, and perception-aware navigation in dynamic and unknown environments. His work spans aerial and ground robots, multiagent systems, and challenging terrains, with strong emphasis on real-world deployment and robustness. The recent publications highlight a consistent trend in trajectory optimization, perception-aware planning, and multiagent coordination. His work bridges theoretical advances in optimization and learning with practical robotic applications, especially in safety-critical and communication-constrained scenarios. Scientific Awards: Best Paper Award, IEEE ICRA 2023 1st Place, Urban Circuit, DARPA Subterranean Challenge (2020) 2nd Place, Tunnel Circuit, DARPA Subterranean Challenge (2021) Finalist, Best Paper, IEEE IROS 2019 Jesús Tordesillas Torres has been actively involved in research grants and projects, including the ADS FERRARI WP-2 Project funded by Airbus Defence and Space (2025–2025). He mentors students and collaborates with leading institutions such as MIT, ETH Zurich, and the University of Pennsylvania. He also serves as a reviewer for top-tier journals including IEEE Transactions on Robotics , International Journal of Robotics Research , and IEEE Robotics and Automation Letters , as well as major conferences like ICRA and IROS. He leads and participates in research teams focused on autonomous systems, with affiliations to the Institute for Research in Technology (IIT) at Comillas. His invited talks at ETH Robotics Summer School and University of Pennsylvania reflect his growing influence in the robotics community.

• Bioelectricity
• Scanning Probe Microscopy
• Artificial Intelligence
• +۳ مورد دیگر

Gabriel Gomila Lluch is a Full Professor at the University of Barcelona's Department of Electronics and Group Leader at the Institute for Bioengineering of Catalonia (IBEC). His research at the Nanoscale Bioelectrical Characterization group integrates Scanning Probe Microscopy, Artificial Intelligence, and Organic Bioelectronics to advance label-free characterization tools for Life Sciences and nanomedical diagnostics. PhD in Physics (University of Barcelona, 1997) Ramón y Cajal Fellowship recipient (2001) ICREA Academia awardee (2014) His research spans: Bioelectrical characterization of cells, bacteria, and nanocarriers Autonomous microscopy systems with AI integration Organic Bioelectronics for biosensing and signal transduction Cable bacteria conduction mechanisms Scientific contributions include: First supervised machine learning algorithm for Scanning Dielectric Microscopy data Breakthrough in confined water dielectric constant measurement (Science 2018) Pioneering work on nanoscale capacitance microscopy Key innovation areas: High-throughput multimodal characterization Autonomous probe microscopy systems Dielectric nanotomography Protein nanowire conductivity analysis

• Mechanical Engineering
• Industrial Engineering
• Additive Manufacturing
• +۷ مورد دیگر

Dr. Andrés Amador García Granada is a Full Professor and GEPI Group Manager in the Department of Industrial Engineering at IQS School of Engineering. He holds a Ph.D. in Mechanical Engineering from the University of Bristol (2000) and an Industrial Engineering degree from ETSEIB-UPC (1996). From 2018-2020, he coordinated the Master's Degree in Industrial Engineering and served as Head of the Department of Industrial Engineering starting in 2018. His research interests focus on Computer tools to support CAx engineering , Vibrations and damping linked to fatigue and noise , and High temperature creep and residual stresses . His work spans mechanical engineering, biomedical applications, and advanced manufacturing techniques with particular emphasis on additive manufacturing and computational modeling. Dr. García Granada leads multiple significant research projects including PolyCoarct (design of growing stents for pediatric aortic coarctation), AUXSTENT (stents with combined radial and longitudinal growth properties), and EQUIDENTAL (advanced surface treatments for dental implants). His recent publications demonstrate expertise in biomedical device design, computational modeling, and advanced manufacturing techniques with applications spanning from vascular stents to robotics and photonics. Excellent Presentation Award at ISGMA2017 He actively supervises student research projects and has collaborated with institutions including Harvard-MIT, Hospital del Mar, and PRBB. His research group GEPI (Industrial Products Engineering Group) focuses on three main areas: Additive Manufacturing, Reverse Engineering with object digitization, and Mechanical Characterization of Materials.

• Soil Science
• Agricultural Chemistry
• Environmental Toxicology
• +۵ مورد دیگر

Jose Eugenio Lopez Periago is a full-time researcher at the University of Vigo , affiliated with the Faculty of Sciences and the Department of Plant Biology and Soil Sciences . His work focuses on soil chemistry, environmental toxicology, and agroecology, particularly in vineyard soils and pesticide transport. Education: PhD in Environmental Science from the University of Santiago de Compostela (1993), thesis on groundwater contamination by cattle manure in Terra Chá under Dr. Francisco Díaz-Fierros Viqueira. Research Interests: His studies address copper dynamics in agricultural soils, pesticide transport mechanisms, soil structure analysis via computed tomography, and sustainable soil management practices. Key themes include heavy metal pollution, bioremediation, and soil ecosystem services. Article Trends: Recent publications emphasize Tenebrio molitor applications, allelopathic biomass for weed control, 3D-printed soil scaffolds, and soil pore network characterization. His work bridges environmental science , materials engineering , and agricultural sustainability . Labs & Teams: Affiliated with the Institute of Agroecology and Food , focusing on soil health and agrochemical impacts. Collaborates with researchers like P. Pérez-Rodríguez, M. Paradelo, and D. Soto-Gómez on interdisciplinary projects.

Carlos Ivorraمشاهده پروفایل

استاد

• Mathematics
• Mathematical Economics
• Set Theory
• +۹ مورد دیگر

Carlos Ivorra is a Professor in the Department of Mathematics for Economics and Business at the Faculty of Economics, University of Valencia. His office is located at Avda. de los Naranjos s/n, 46022 VALENCIA (Office: 5P18b). Department: Mathematics for Economics and Business Faculty: Economics University: University of Valencia Professor Ivorra's research spans multiple disciplines with a strong foundation in mathematical sciences. His primary expertise lies in pure mathematics including set theory, algebra, analysis, and geometry, with specific applications to economics and business. His intellectual pursuits extend significantly beyond mathematics into humanities, with substantial work in philosophy, linguistic theory, historical studies, and literary analysis. His scholarly interests demonstrate an unusual breadth, connecting mathematical rigor with philosophical inquiry and literary appreciation. He has developed PDF resources covering foundational mathematical topics and maintains pages on Universal History, theory of knowledge, and Latin literature. His work on language and gender demonstrates critical engagement with contemporary sociolinguistic issues. Professor Ivorra shows particular interest in Spanish Golden Age literature, with special focus on Luis de Góngora, as well as medieval Italian poetry. His linguistic commentary reveals deep concern about the evolution of language and its relationship to thought processes, particularly regarding gendered language constructs.

• Volume and Solid Modeling
• Virtual Reality
• Medical Applications
• +۲ مورد دیگر

Isabel Navazo is a Lecturer at the Department of Computer Languages and Systems, Polytechnic University of Catalonia, Spain. Her work focuses on medical imaging applications, volume and solid modeling, virtual reality, and occlusion culling. Research Interests: She specializes in Volume and Solid Modeling , Virtual Reality , and Medical Applications , particularly in colon segmentation, volumetric rendering, and interactive visualization tools. Her research often bridges computational methods with clinical diagnostics. Publication Trends: Recent articles highlight her contributions to MRI segmentation, medical visualization, and haptic rendering. Key themes include colonic content analysis , interactive exploration of medical data , and texture-based hybrid visualizations for diagnostic applications.

• Organometallic Chemistry
• Catalysis
• Inorganic Chemistry
• +۶ مورد دیگر

Professor José Tomás Cuenca Agreda is a distinguished University Professor in the Department of Organic Chemistry and Inorganic Chemistry at the Faculty of Pharmacy, University of Alcalá (UAH). With a career spanning several decades, he has established two major research lines: Sustainable Catalytic Processes with Organometallic Compounds and the Design, Interaction and Synthesis of Bioactive Compounds. His research has been supported by numerous grants from the University of Alcalá, the Ministry of Economic Affairs and Digital Transformation, and the Community of Madrid. Professor Cuenca Agreda's research interests focus on organometallic chemistry, particularly titanium-based systems, with applications in sustainable catalysis and medicinal chemistry. His work includes activation of CO 2 and other small molecules, C-H bond activation, development of catalysts for polymerization processes, and synthesis of metal-based compounds with potential anticancer activity. His research bridges fundamental organometallic chemistry with practical applications in sustainable chemistry and pharmaceutical development. Analysis of his recent publications (2018-2020) reveals a strong focus on titanium and aluminum-based catalysts for polymerization processes, chiral complexes for asymmetric catalysis, and water-soluble metal complexes with biological activity. His work demonstrates continued innovation in catalyst design, with particular attention to sustainability and potential biomedical applications. Professor Cuenca Agreda has secured significant research infrastructure for his group, including a 400 MHz NMR spectrometer (2019) and various other equipment through multiple infrastructure grants. His research group maintains active collaborations with other departments at UAH and with external research institutions. His laboratory environment supports advanced synthesis of air-sensitive organometallic compounds, catalyst testing, polymerization studies, and biological evaluation of potential therapeutic compounds. Students in his group gain experience with state-of-the-art characterization techniques and participate in national and international conferences.

• Molecular metal nitrides
• Metal oxides/sulfides
• Small molecule activation
• +۵ مورد دیگر

Avelino Martín Alonso is a Full Professor in the Department of Organic Chemistry and Inorganic Chemistry at the University of Alcalá (UAH). He leads the "Metalocubanos - Metallocubanes" research group and participates in the Red de Cristalografía y Cristalización (Factoría de Cristalización). His academic career spans several decades with a consistent research output in inorganic and organometallic chemistry. Professor Martín Alonso's research focuses on molecular metal nitrides, oxides, and sulfides, with particular emphasis on small molecule activation (N 2 , H 2 , CO 2 ). His work centers on developing early-transition organometallic systems that can activate and functionalize these small molecules to produce high-value compounds. Key areas include the study of polymetallic titanium complexes, metalloligands based on titanium oxides and nitrides, and crystallographic analysis of metal clusters. Analysis of his publication record from 2016-2023 reveals a strong focus on titanium-based molecular systems, with significant contributions to understanding metal-oxo and metal-sulfide chemistry. His research has evolved from fundamental structural studies toward applications in small molecule activation, particularly dinitrogen fixation as an alternative to the industrial Haber-Bosch process. Professor Martín Alonso has successfully supervised four doctoral students to completion, all receiving "Sobresaliente Cum Laude" distinctions. His research has been supported by multiple national and regional grants, including projects from the Ministry of Economic Affairs and Digital Transformation and the University of Alcalá. The Metalocubanos research group provides students with comprehensive training in organometallic synthesis, crystallographic techniques, spectroscopic characterization, and computational methods. The group maintains active collaborations with other research institutions, as evidenced by the extensive co-authorship network in published works.