جست‌وجوی استاد و پژوهشگر

Michael Raskinمشاهده پروفایل

مدرس

• Theoretical Computer Science
• Distributed Systems
• Algorithms
• +۶ مورد دیگر

Michael Raskin is a Lecturer (maître de conferences) at LaBRI, University of Bordeaux, where he conducts research in theoretical computer science with a focus on distributed systems and formal methods. His work bridges theoretical foundations with practical implementations, particularly in population protocols, temporal graphs, and Petri nets. His research interests span Theoretical Computer Science , Distributed Systems , Algorithms , and Formal Methods , with specific expertise in population protocols, temporal graph analysis, vector addition systems, and verification techniques for parameterized systems. His publications demonstrate a consistent focus on computational complexity, state complexity, and threshold phenomena in distributed models. Recent publication trends show a strong emphasis on temporal graph theory (with multiple papers on random temporal graphs and giant components), population protocol analysis (including modular protocols and leaderless rendez-vous systems), and verification techniques for parameterized systems. His work often combines mathematical rigor with practical implementation insights. Raskin has developed significant software projects including: Agnostic Lizard - A portable code walker for Common Lisp QueryFS - A filesystem defined through compiled queries His technical contributions span both theoretical advances and practical systems implementation, with a recurring theme of applying programming language techniques to systems problems. His work on Common Lisp tools demonstrates a commitment to practical language implementation alongside theoretical research.

• Physiotherapy
• Biomechanics
• Ergonomics
• +۷ مورد دیگر

Gemma Bivia Roig is an Adjunct Professor in the Department of Physiotherapy at CEU Cardenal Herrera University, Faculty of Experimental and Health Sciences. She holds a multidisciplinary academic background in Biology, Physiotherapy, and Osteopathic Manual Therapy, and earned her PhD in 2016 from the same institution. She has been a full-time faculty member since 2009 and continues to teach courses in Biomechanics and Ergonomics, Physiotherapy in Clinical Specialties, and Specific Methods of Physiotherapy Intervention. Education: Biology, University of Valencia (2003) Diploma in Physiotherapy, CEU Cardenal Herrera University (2007) – Extraordinary End-of-Degree Award, Best Academic Record, Academic Performance Award (Generalitat Valenciana), Third National End-of-Degree Award Degree in Physiotherapy, CEU San Pablo University (2012) Master's in Physiotherapy Care in Physical Activity and Sport (2009) Master's in Osteopathic Manual Therapy (2011) PhD, CEU Cardenal Herrera University (2016) Her research focuses on women's health, particularly lumbar biomechanics during pregnancy and non-invasive interventions for pain reduction. She integrates biomechanical analysis with clinical physiotherapy, emphasizing ergonomics, manual therapy, and exercise-based rehabilitation. Her work bridges academic instruction with practical clinical applications, especially in maternal health and musculoskeletal disorders. The majority of her recent publications explore biomechanical adaptations in pregnancy, effectiveness of manual and exercise therapies, and ergonomic education. These articles span disciplines including physiotherapy, biomechanics, ergonomics, and women's health, with methodologies ranging from randomized trials to systematic reviews and longitudinal studies. Scientific Awards and Recognitions: Extraordinary End-of-Degree Award Best Academic Record, Faculty of Experimental and Health Sciences Academic Performance Award, Generalitat Valenciana Third National End-of-Degree Award Six-year research period recognized by ANEP Gemma Bivia Roig has supervised multiple undergraduate and master’s theses and has been Principal Investigator on research projects funded by the Generalitat Valenciana (GV/2020/133, CIGE/2022/178) and a clinical research project. She actively contributes to the academic community as a reviewer for several scientific journals and participates in both public and private research initiatives. She is affiliated with research teams focusing on musculoskeletal health and rehabilitation, with ongoing work in clinical interventions for pregnant women. Her future research aims to expand evidence-based physiotherapy protocols for maternal biomechanics and pain management.

Pooran Memariمشاهده پروفایل

پژوهشگر

• Geometric Modeling
• Computer Graphics
• Computational Geometry
• +۵ مورد دیگر

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

• 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.

Auxiliadora Sarmiento Vegaمشاهده پروفایل

استاد

• Audio Source Separation
• Biomedical Signal Processing
• Machine Learning
• +۵ مورد دیگر

Auxiliadora Sarmiento Vega is a full professor at the University of Seville 's School of Engineering within the Department of Signal Theory and Communications . With over two decades of research experience, her work bridges audio signal processing and biomedical applications, focusing on blind source separation, entropy-based methods, and machine learning for healthcare diagnostics. Research Pillars : Audio source separation, biomedical signal/image analysis, and virtual reality integration Key Projects : ACACIA (Signal Analysis), NEUBIAS (Bioimage Analysts Network), and multiple NIH-funded biomedical imaging initiatives Academic Contributions span 15+ years, with groundbreaking work in: Alpha-Beta divergence clustering algorithms EEG processing for motor imagery BCI systems Automated breast cancer grading from histological images Glaucoma and diabetic retinopathy diagnostics via retinal image analysis Virtual reality platforms for emotion analysis research She actively collaborates with institutions like the IEEE Women in Engineering (Spanish section secretary) and NEUBIAS network , while mentoring through outreach programs like g4g Day that empower young women in STEM.

Ignacio Cascos Fernandezمشاهده پروفایل

دانشیار

• Multivariate Analysis
• Probability Theory
• Data Depth
• +۷ مورد دیگر

Ignacio Cascos Fernandez is an Associate Professor at the Department of Statistics, School of Engineering, Carlos III University of Madrid. His research focuses on Multivariate Analysis (depth functions, multivariate quantiles) and Probability Theory (stochastic orders, random sets, financial risk measures). Key Research Areas Multivariate analysis with emphasis on data depth and quantiles Probability theory involving stochastic orders and random sets Applications to financial risk modeling and statistical process control Notable Awards IASC ERS Young Researchers Award (2006) Elected member of the International Statistical Institute (2008) PhD Supervision Advised José Manuel Cueto (2021) on multifactor models for equity returns Advised Maicol Ochoa (2022) on expectiles and multivariate analysis Recent Projects Developed data depth methodologies for biological age prediction Created statistical tools for complex data in finance and real estate analysis

• Behavioral Science Methodology
• Program Evaluation
• Observational Methodology
• +۳ مورد دیگر

Susana Sanduvete Chaves serves as a Researcher in the Department of Psychology at the University of Seville, Spain, where she specializes in Behavioral Science Methodology. Her academic foundation includes a 2008 Doctorate from the University of Seville with the thesis "Innovaciones metodológicas en la evaluación de la formación continúa" (Methodological Innovations in Continuous Training Evaluation), supervised by Dr. Salvador Chacón Moscoso. She maintains active roles in both research methodology development and applied psychological interventions across clinical and educational settings. Her research program centers on three interconnected pillars: methodological quality assessment in psychological research, health psychology interventions, and educational innovations in psychology training. She has pioneered tools like the Methodological Quality Scale (MQS) and Methodological Quality Checklist for Observational Methodology (MQCOM), establishing rigorous standards for intervention program evaluation. In health psychology, her work targets chronic pain management, parental support for preterm infants, and quality-of-life improvements for autoimmune disorder patients. Educational contributions include bilingual teaching methodologies and active learning frameworks for psychology statistics courses. Analysis of her 2022-2025 publications reveals a strategic integration of methodological precision with real-world applications. Her health psychology studies predominantly employ randomized controlled trials and systematic reviews to evaluate interventions for vulnerable populations, while her methodological work emphasizes cross-cultural adaptation and international research standards. Educational publications document practical innovations in Spanish university settings, particularly regarding English-medium instruction challenges in psychology methodology courses. Though specific grant details remain undocumented in available sources, her extensive publication record in high-impact areas suggests sustained research funding and collaborative projects with healthcare institutions. Her work demonstrates consistent leadership in advancing methodological rigor within Spanish psychological research while addressing pressing clinical and educational needs through evidence-based interventions.

• 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.

• Chronic Obstructive Pulmonary Disease (COPD)
• Respiratory Epidemiology
• Physical Activity and Mobility
• +۵ مورد دیگر

Judith Garcia-Aymerich is a Professor at Pompeu Fabra University and Secretary General of the European Respiratory Society (2022-2025), affiliated with ISGlobal (Barcelona Institute for Global Health). Her work bridges academic research, clinical practice, and global health policy in respiratory epidemiology. Her academic credentials include: Graduated in Medicine from University of Barcelona (UB), 1996 PhD in Public Health and Biomedical Research Methodology from Autonomous University of Barcelona (UAB), 2002 Dr. Garcia-Aymerich pioneers research on COPD pathophysiology through the lens of physical activity, mobility, and socio-environmental determinants. Her methodological innovations include developing activity monitors, patient-reported outcomes tools, and causal inference frameworks using life course epidemiology. She examines how urban environments, body composition, and dietary patterns interact with respiratory health across populations, emphasizing rigorous hypothesis-free disease characterization. Her 300+ publications (H-index 68) reveal consistent focus on COPD phenotyping, physical activity measurement tools (notably PROactive instruments), and urban health interventions. Recent work integrates patient voice in mobility frameworks and examines childhood body composition impacts on lung development, demonstrating translational impact through updated clinical guidelines. She has received multiple national and international awards for pioneering COPD lifestyle research, though specific honors aren't detailed in source materials. As principal investigator of numerous multicenter cohort studies and clinical trials, she secures significant research funding while supervising 12 doctoral theses and mentoring 7 postdocs. Her teaching portfolio at Pompeu Fabra spans epidemiology, research methods, and chronic disease management across undergraduate and graduate programs. At ISGlobal, she leads collaborative teams developing patient/clinician tools and advising regulatory bodies, with ongoing projects examining environmental impacts on respiratory health through European Respiratory Society initiatives.

Alessandro Tarozziمشاهده پروفایل

استاد

• Development Economics
• Microeconometrics
• Health Economics
• +۳ مورد دیگر

Alessandro Tarozzi is a Full Professor at Universitat Pompeu Fabra (UPF) and the Barcelona School of Economics. He holds a PhD from Princeton University and has been on leave since 2021. His research focuses on Development Economics, Microeconometrics, and Health Economics, with a particular emphasis on poverty measurement, health interventions, and public policy evaluation in low- and middle-income countries. Education: PhD in Economics from Princeton University. Research interests include the intergenerational transmission of health, microcredit impacts, environmental health risks (e.g., arsenic contamination in Bangladesh), and socioeconomic status gradients in health outcomes. He has conducted field experiments in India and Bangladesh on topics like malaria prevention and arsenic risk communication. Editorial roles include Co-Editor of the World Bank Economic Review (2024–present), and Associate Editor for Journal of Development Economics , Journal of Human Resources , and others. He is affiliated with BREAD, CEPR, and J-PAL. Key contributions include studies on child nutrition in India, microfinance effects in Ethiopia, and the effectiveness of information campaigns on health behaviors. His work bridges econometric rigor with real-world policy applications in development settings.

• 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.

Payam Dadvandمشاهده پروفایل

استاد

• Environmental Epidemiology
• Air Pollution
• Green Spaces
• +۱۲ مورد دیگر

Payam Dadvand is a leading researcher in environmental epidemiology with a focus on maternal and child health. He is the coordinator of the Barcelona Life Study Cohort (BiSC) and co-editor-in-chief of Environmental Research . His work integrates remote sensing, GIS, and spatiotemporal modeling to study environmental stressors and benefits such as air pollution and green spaces. Research Interests: His research spans air pollution , green spaces , UVR , climate change , and maternal and child health . He investigates how environmental factors influence neurodevelopment, respiratory outcomes, and epigenetic mechanisms. His work is central to understanding the exposome —the totality of environmental exposures across the lifespan. The recent publications (2024–2025) reflect a strong focus on urban environmental health, with an emphasis on green space benefits, air pollution impacts on fetal and child development, epigenetic changes, and mental health. Many studies use large European cohorts and advanced exposure assessment methods, indicating a trend toward integrative, data-rich environmental epidemiology. Scientific Awards and Honors: Highly Cited Researcher by Clarivate™ Rebecca James Baker Award (ISEE, 2012) Outstanding Abstract by a New Investigator (ISEE, 2012) Ramón y Cajal Fellowship (2014–2018), ranked #1 in clinical medicine/epidemiology in Spain Juan de la Cierva Fellowship (2012–2015) International Research Scholarship, Newcastle University (2005–2008) PNAS Issue Highlight and three Science Selections in Environmental Health Perspectives Dr. Dadvand has led major research initiatives including the BiSC cohort and the EXPANSE project. He has secured competitive fellowships and grants, and his editorial role at Environmental Research underscores his leadership in the field. He likely mentors PhD students and early-career researchers through his cohort and collaborative projects. Labs and Teams: He leads or is a key member of the Barcelona Life Study Cohort (BiSC) team and contributes to the EXPANSE project. His work involves interdisciplinary collaboration across epidemiology, environmental science, biostatistics, and urban planning.

• 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.