جست‌وجوی استاد و پژوهشگر

Artur Nicolauمشاهده پروفایل

استاد

• Complex Analysis
• Inner Functions
• Hardy Spaces
• +۵ مورد دیگر

Artur Nicolau is a Professor of Mathematics at the Autonomous University of Barcelona, Spain, where he is affiliated with the Department of Mathematics. His academic career spans several decades, with a prolific research output in complex analysis and related fields. Professor Nicolau's research primarily focuses on complex analysis , with special emphasis on inner functions, Hardy spaces, Bloch space, Nevanlinna theory, and harmonic analysis. His work explores the boundary behavior of analytic functions, function spaces, and connections to dynamical systems and probability theory. He has made significant contributions to understanding the structure of bounded analytic functions and their geometric properties. Analysis of Nicolau's recent publications (2021-2025) reveals a strong focus on inner functions and their properties, including studies on shift invariant subspaces in the Bloch space, central limit theorems for inner functions, and invertibility in quotient algebras of $H^\infty$. His work demonstrates deep connections between complex analysis, functional analysis, and probability theory, with applications to understanding the geometric and dynamical properties of analytic mappings. While no specific scientific awards are mentioned in the available information, Professor Nicolau's extensive publication record in top mathematics journals reflects significant scholarly impact in his field.

• Happiness
• Decision-Making
• Emotion
• +۷ مورد دیگر

Jordi Quoidbach is an Associate Professor at the Esade School of Business Administration and Management , affiliated with the Esade Leadership Development Research Center . His academic work focuses on Happiness , Decision-Making , Emotion , and Negotiation , blending psychology with organizational behavior. His research explores Positive Emotion , Emotion Regulation , and Life Satisfaction , with significant contributions to understanding how Financial Resources and Relational Diversity influence well-being. He has published extensively in top journals like PNAS , Emotion , and Behavior Research Methods , often addressing Temporal Affect Dynamics and Emotional Intelligence . Quoidbach's recent projects include ICREA Academy 2023 and ¿Cómo debes equilibrar tu tiempo para ser más feliz? , analyzing time allocation for happiness. He is a leading figure in Organizational Psychology , with a h-index of 4063, demonstrating broad academic influence.

• Radiation Effects on Micro/Nanoelectronic Systems
• SRAM Memory Design
• Integrated Circuit Design
• +۳ مورد دیگر

Gabriel Torrens Caldentey is a Full Professor in the Electronic Technology Area of the Department of Industrial Engineering and Construction at the University of the Balearic Islands (UIB). He maintains an active research profile as a member of the Electronic Engineering research group (GEE). Education: Industrial Engineer PhD in Electronic Engineering Research Focus: Professor Torrens Caldentey specializes in radiation effects on micro/nanoelectronic systems and the design, optimization, and applications of memory for integrated circuits, particularly SRAM (Static Random Access Memories). His technical specialties include circuit design, microelectronics, and electronic technology as explicitly listed in his profile. Teaching Profile: He teaches across multiple programs including the Degree in Industrial Electronic Engineering and Automation, Mathematics Degree, and Telecommunications Engineering Degree. For the 2025-26 academic year, he's teaching Componentes y Sistemas Electrónicos, Introducción a la Electrónica, Teoría de Circuitos, and Instrumentación y Adquisición de Datos across various undergraduate and master's programs. Research Structure: Member of the Electronic Engineering (GEE) Consolidated R&D&I Group

• Protein Aggregation
• Amyloids
• Neurodegenerative Diseases
• +۷ مورد دیگر

Benedetta Bolognesi is a Group Leader at the Institute for Bioengineering of Catalonia (IBEC), focusing on protein phase transitions in health and disease. She previously earned her PhD in Chemistry from the University of Cambridge (UK) under Prof. Chris Dobson, studying amyloid-beta aggregation in Alzheimer's disease. Her postdoctoral work at the Centre for Genomic Regulation (Barcelona, Spain) was supported by a Marie Curie Interdisciplinary Fellowship. Current Role: Group Leader, Protein Phase Transitions in Health and Disease Research Focus: Protein aggregation mechanisms, amyloid formation, deep mutational scanning (DMS), yeast models for neurodegenerative diseases Her research employs DMS to quantify mutation effects on disordered protein domains, particularly in amyloid-beta and prion-like proteins. She investigates liquid condensates and amyloids in neurodegenerative contexts like Alzheimer's and Fragile X syndrome. Recent publications demonstrate her leadership in amyloid nucleation studies using high-throughput methods and interpretable AI models. Collaborations include researchers like Ben Lehner and Mireia Seuma. Her work bridges bioengineering and molecular biology to decode protein aggregation rules. Bolognesi's lab at IBEC explores protein phase transitions through interdisciplinary approaches, integrating yeast systems and computational biology. Key contributions include atlases of variant effects and insights into amyloid transition states.

Cynthia H. Chuangمشاهده پروفایل

استاد

• Reproductive Wellness
• Contraceptive Policy
• Women's Health
• +۳ مورد دیگر

Cynthia H. Chuang, MD, MSc, serves as Professor of Medicine and Public Health Sciences at Pennsylvania State University's College of Medicine and Penn State Health Milton S. Hershey Medical Center. She holds concurrent professorships in the Department of Public Health Sciences and Department of Obstetrics and Gynecology, and serves as Chief of the Division of General Internal Medicine. Her leadership encompasses academic physicians and scientists developing innovative educational programs and research initiatives, including critical patient care responses during the COVID-19 pandemic. Dr. Chuang's research focuses on reproductive wellness and contraceptive policy, with particular emphasis on how state and federal policies affect women's access to care. Her work consistently addresses preventive care frameworks and evidence generation for reproductive health interventions. As a physician-scientist and general internist, she bridges clinical practice with health services research to improve primary care delivery for women. Analysis of her 15 most recent publications reveals strong thematic continuity in reproductive health policy research, with increasing emphasis on post-pandemic healthcare delivery, contraceptive coverage mandates, and equity-focused implementation science. Her work demonstrates methodological diversity spanning randomized controlled trials, policy analyses, and large-scale observational studies. Key scientific recognition includes the 2014 Outstanding Collaborative Research Team award. Her research portfolio demonstrates sustained NIH, PCORI, and AHRQ funding, particularly for projects examining contraceptive coverage policies and reproductive life planning interventions. Dr. Chuang has led significant research collaborations including the MyNewOptions study (PCORI-funded), which tested web-based reproductive life planning tools for contraceptive decision-making among 984 privately insured Pennsylvania women. Her current R01 project examines how state and federal contraceptive coverage policies affect women's access to care, reflecting ongoing commitment to policy-relevant research.

• Computational Linguistics
• Algorithm Design
• Computational Complexity
• +۳ مورد دیگر

Esteban Angeles, Juan Luis is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Departament de Ciències de la Computació and the Facultat d'Informàtica de Barcelona. He is a member of the LQMC research group (Lingüística Quantitativa, Matemàtica i Computacional) and has contributed to numerous research projects in computational linguistics, algorithms, and computational complexity. His work spans theoretical computer science, focusing on proof complexity, graph algorithms, and syntactic dependency structures. Education: Holds a doctoral thesis titled 'Complexity mesures for resolution' from UPC (2003). Active in research since at least 1994, with publications in top journals like Information Processing Letters and Physical Review E. His research interests include algorithm design, optimization, and formal language theory. Selected Awards: No explicit awards mentioned, but his prolific publication record and project leadership reflect significant academic contributions. Key projects include 'Satisfactibilidad y Optimización con Certificados de Prueba' and 'Lingüística Quantitativa, Matemàtica i Computacional.' Labs/Teams: Part of the LOGPROG research group (Lògica i Programació) and ALBCOM (Algorísmia, Bioinformàtica, Complexitat). His work often involves collaborations with researchers like Ramon Ferrer-i-Cancho and Albert Atserias.

• Extremal Combinatorics
• Probabilistic Combinatorics
• Discrete Probability
• +۶ مورد دیگر

Patrick Morris is a postdoctoral researcher in the GAPCOMB group at Universitat Politècnica de Catalunya (UPC) in Barcelona, funded by a Marie Curie fellowship. He holds a PhD in Combinatorics and Graph Theory from Freie Universität Berlin (2021), a Master's from the same institution, and a 4-year MSci from the University of Bristol. His research focuses on Extremal and Probabilistic Combinatorics with applications to Discrete Probability, Number Theory, and Algebraic Group Theory. Notably, his work on canonical Ramsey theorems earned a Best Paper Award at LAGOS 2023. His studies often explore structural properties of graphs and hypergraphs under random perturbations, with emphasis on Hamiltonicity, bootstrap percolation, and transversal problems. Collaborations include projects with Prof. Guillem Perarnau and Prof. Tibor Szabó, yielding impactful results in combinatorial theory. Education: PhD in Mathematics (2021), Freie Universität Berlin Master's in Combinatorics & Graph Theory (Freie Universität Berlin) MSci in Mathematics (University of Bristol, 2015) Research Interests: Extremal Combinatorics Probabilistic Combinatorics Bootstrap Percolation Hypergraph Theory Random Graphs Ramsey-Turán Theory Key Contributions: Over 15 peer-reviewed papers in top journals (e.g., Random Structures & Algorithms , Journal of Combinatorial Theory ), with focus on Hamilton cycles, clique factors, and canonical Ramsey-type theorems. His work bridges combinatorial structure and probabilistic methods, often addressing open problems in graph theory.

• Aerodynamics
• Turbulent Flow Analysis
• Particle Image Velocimetry (PIV)
• +۹ مورد دیگر

Stefano Discetti is a Full Professor in the Department of Aerospace Engineering at Universidad Carlos III de Madrid, leading the Aerospace Engineering Research Group. His work bridges experimental fluid dynamics, machine learning, and flow control. Key research themes include turbulence characterization, heat transfer enhancement, and advanced measurement techniques like PIV/PTV. He has developed data-driven methods for flow estimation, sensor placement optimization, and physics-informed neural networks. Research Trends from his publications show a focus on: Machine learning for turbulent flow reconstruction (GANs, CNNs, KNN) Non-intrusive sensing from wall measurements Manifold learning and reduced-order modeling Heat transfer control via plasma actuators and passive structures Time-resolved diagnostics using hybrid experimental/numerical approaches Projects include principal roles in EU and national grants like NEXTFLOW (2021-2026) and EXCALIBUR (2023-2026), with industry collaborations at Airbus and TU Delft.

• Optical Communications
• Fiber Optics
• Sensors
• +۳ مورد دیگر

Manuel López-Amo Sainz is a Professor in the Department of Electrical, Electronic and Communication Engineering at the Public University of Navarre, affiliated with the Institute of Smart Cities (ISC). His research focuses on optical communications, fiber optics, sensors, laser technology, photonics, and applications in smart cities. Education Telecommunications Engineer, Polytechnic University of Madrid (1989) Research Interests Professor López-Amo's research interests span optical fiber sensors, laser systems, and photonic technologies with applications in environmental monitoring, industrial measurement, and smart infrastructure. Key focus areas include: Fiber Bragg grating sensors and interferometric techniques Multiwavelength and random distributed feedback fiber lasers Optical fiber networks for remote sensing Integration of machine learning with optical systems Novel fiber designs for chemical and physical sensing Publication Trends Analysis of recent publications reveals a strong emphasis on fiber laser-based sensors, interferometric measurement techniques, and specialized optical fiber designs. His work frequently addresses real-world challenges in flow measurement, structural health monitoring, and environmental sensing, with emerging integration of machine learning for data analysis and system optimization. Research Group He leads research in the Optical Communications and Electronic Applications group at the Institute of Smart Cities, focusing on developing advanced photonic technologies for sensing and communication applications.

• Sports Science
• Exercise Physiology
• Biomechanics
• +۴ مورد دیگر

Javier Courel Ibáñez serves as a Permanent Labor Professor (Associate Professor) in the Department of Physical Education and Sports at the Faculty of Education and Sports Sciences Melilla. His teaching responsibilities include structured tutoring sessions held Wednesdays from 9:00-12:00 and 15:00-19:00 in Office 007 across both academic semesters. His research spans Sports Science , Exercise Physiology , and Biomechanics , with concentrated expertise in athletic performance assessment, injury epidemiology, and evidence-based exercise interventions. Key domains include football (soccer) injury dynamics, padel performance analysis, rehabilitation protocols for tendinopathies, and physical activity applications for aging populations and post-COVID-19 recovery. His methodological approach integrates velocity-based resistance training, systematic literature reviews, and prospective cohort studies to address contemporary challenges in sports medicine. Analysis of his 2022-2025 publications reveals three dominant research trajectories: pandemic-related sports injury patterns (particularly in female football), technology-driven performance assessment (MyotonPRO reliability, resistance-band testing), and special population interventions (older adults, rheumatic conditions). His work consistently bridges laboratory findings with practical applications through EULAR collaborations and sport-specific training protocols.

• Signal Processing
• Wireless Communication Systems
• Power Amplifier Modeling
• +۴ مورد دیگر

María José Madero Ayora is a Professor at the Department of Signal Theory and Communications , Universidad de Sevilla , specializing in nonlinear system modeling and digital predistortion for wireless communication systems. Her research focuses on Volterra series applications in power amplifier linearization, microwave measurements , and machine learning techniques for signal processing. Principal Investigator for projects like Statistical Signal Modeling for Brain-Computer Interfaces (PID2021-123090NB-I00) Recipient of the Arftg Roger Pollard Student Fellowship in microwave measurement Her work spans 5G waveform linearization , I/Q modulator impairments , and thermal memory effects in RF amplifiers. Recent publications combine sparse Bayesian methods with Volterra models to address nonlinear distortion in OFDM and visible light communication systems. She has supervised doctoral theses and participated in international conferences across the U.S., Europe, and Asia.

• Quantum Computing
• Quantum Chemistry
• High-Performance Computing (HPC)
• +۳ مورد دیگر

Max Rossmannek is a Researcher at IBM Research Europe - Zurich, specializing in the integration of quantum computing and high-performance computing (HPC) systems. His work focuses on developing hybrid quantum-classical algorithms that surpass the capabilities of individual paradigms. Education: Master of Science from ETH Zürich (2020), Dr. sc. nat. from University of Zürich and IBM Research Zürich Research Interests: Quantum Algorithms, Quantum Chemistry, HPC Integration, Computational Materials Science Notable Collaborations: Ivano Tavernelli (Quantum Computing), Antonio Córcoles (Quantum + HPC), Antonio Mezzacapo (Quantum-Centric Supercomputing)

Sandra Fachelliمشاهده پروفایل

استاد

• Social Inequality
• Social Stratification
• Social Mobility
• +۵ مورد دیگر

Sandra Fachelli is a Professor in the Department of Sociology at Pablo de Olavide University. She holds a PhD in Sociology from the Autonomous University of Barcelona (2009) and a postdoctoral degree in Social Sciences from the University of Buenos Aires. Her academic career includes leadership roles in international sociological organizations: Vice President of ISA RC55 'Social Indicators', Board Member of ISA RC28 'Social Stratification', and President of the Spanish Federation of Sociology's CI 41 'Comparative Sociology between Europe and Latin America'. She previously chaired FES's CI 06 'Inequality and Social Stratification' (2020-2024). PhD in Sociology (UAB, 2009) Postdoctoral in Social Sciences (UBA) Diploma in Advanced Studies in Sociology (UAB) Master in Introduction to Sociological Research (UAB) Master in Social Policies and Programs Design (FLACSO Argentina) Her research focuses on social inequality, stratification, and mobility , with particular emphasis on higher education and labor market intersections. She explores comparative frameworks between Europe and Latin America, analyzing structural barriers, gender disparities, and policy interventions. Her work combines quantitative methods like mutual information indexes with policy-relevant indicator development. Her publications highlight a pan-Latin American-European comparative approach using composite indicators and innovative statistical techniques (e.g., mutual information index, principal component analysis) to examine labor integration, educational outcomes, and subjective inequality perceptions. She coordinates the INCASI2 project (Horizon Europe GA 101130456), involving 29 institutions across continents. International Sociological Association RC55 Vice President Spanish Federation of Sociology CI 41 President INCASI2 International Network Sub-coordinator DINAMOS Research Group Member Master's in Applied Social Research Techniques (TISA) Coordinator

• Neuroscience
• Cognitive Neuroscience
• Alzheimer's Disease Research
• +۳ مورد دیگر

María Mercedes Atienza Ruiz is a University Professor in the Department of Physiology, Anatomy and Cell Biology at Universidad Pablo de Olavide, where she leads the LNF Functional Neuroscience research group and contributes to doctoral programs on Alzheimer's disease detection and memory mechanisms. Education: PhD in Neuroscience from the University of Seville (1999), thesis: 'Effect of the state of cerebral activation on the duration of auditory sensory memory' supervised by Dr. Carlos María Gómez González. Her research focuses on Alzheimer's and Parkinson's disease mechanisms, biomarker discovery (amyloid-beta, tau, salivary lactoferrin), and metabolic interactions with neurodegeneration. She investigates memory processes through neuroimaging, proteomics, and analysis of blood/saliva extracellular vesicles, with particular emphasis on insulin resistance, APOE ɛ4 effects, and age-related brain changes. Her work bridges basic neuroscience with clinical applications for early disease detection. Analysis of her 15 most recent publications (2021-2025) shows consistent focus on biomarker validation across biofluids, genetic risk factor interactions, and metabolic drivers of cognitive decline. Key methodologies include structural/functional neuroimaging, proteomic profiling, and longitudinal cohort studies targeting pre-symptomatic disease stages. Scientific Awards: No scientific awards were mentioned in the provided text. Dr. Atienza Ruiz actively supervises doctoral candidates in Alzheimer's disease research through UPO's programs on early detection and memory mechanisms, though specific student names weren't provided. Her LNF Functional Neuroscience group likely secures funding for biomarker discovery projects, with recent publications indicating ongoing investigations into metabolic-neurodegeneration links and therapeutic targets like angiotensin blockers. Research Group: LNF Functional Neuroscience

Anna De Mier Vinueمشاهده پروفایل

دانشیار

• Combinatorics
• Graph Theory
• Matroid Theory
• +۳ مورد دیگر

Anna De Mier Vinue is an Associate Professor at the Department of Mathematics, Universitat Politècnica de Catalunya (UPC), affiliated with the Facultat d'Informàtica de Barcelona (FIB). She leads research in combinatorics, graph theory, and matroid theory as part of the UPC's GAPCOMB research group (Geometric, Algebraic and Probabilistic Combinatorics). Her work focuses on structural combinatorics, polynomial invariants, and discrete geometry. Education: Holds a PhD in Applied Mathematics from UPC. Research Interests: Combinatorial enumeration, graph polynomials (Tutte, U-polynomials), matroid representations, non-crossing structures, and algorithmic combinatorics. Her contributions bridge algebraic methods with geometric and probabilistic approaches. Publications: Over 77 works including articles in Discrete Mathematics, European Journal of Combinatorics, and SIAM Journal on Discrete Mathematics. Recent research explores marked graphs, Tutte polynomial evaluations, and lattice approximations in clutter theory. Active in international projects like COCOA and R+D+I initiatives. Grants & Collaborations: Co-leads projects on extremal combinatorics, geometric algorithms, and mathematical education. Collaborates with researchers from BarcelonaTech and international institutions. Involved in initiatives addressing gender equality in STEM education through statistical analysis. Labs/Teams: Core member of the UPC's GAPCOMB group, contributing to interdisciplinary projects at the Institut de Matemàtiques de la UPC-BarcelonaTech. Supervises research in combinatorial geometry and algebraic structures.