جست‌وجوی استاد و پژوهشگر

Caterina Ida Zeppieriمشاهده پروفایل

دانشیار

• Calculus of Variations
• Partial Differential Equations
• Material Science
• +۳ مورد دیگر

Professor Caterina Ida Zeppieri is an Associate Professor at the Institute for Numerical and Applied Mathematics , University of Münster, Germany. Her research focuses on homogenization theory, calculus of variations, and applications in material science. She leads the Analysis and Modelling Research Group , which explores variational methods and their computational implications. Research Interests: Her work centers on stochastic and deterministic homogenization of free-discontinuity problems, Γ-convergence, and the analysis of heterogeneous materials. She investigates mathematical models for fracture mechanics, phase transitions, and plasticity, often employing advanced techniques from calculus of variations and partial differential equations. Recent Contributions: Recent articles address topics such as strong approximation of SBV functions (2025), stochastic homogenization in perforated domains (2024), and gradient damage models (2022). These studies emphasize rigorous mathematical analysis with applications to real-world material behavior. Grants & Collaborations: Zeppieri’s research is supported by grants from the German Research Foundation (DFG), including projects within the Cluster of Excellence 2044 (e.g., C1: Evolution and Asymptotics). She collaborates with institutions globally, advancing interdisciplinary approaches to material modeling. Teaching: She teaches advanced courses like Applied Functional Analysis and Calculus of Variations , and mentors students through seminars and thesis supervision. Her group hosts regular colloquia and workshops, fostering academic exchange in applied mathematics.

Y. Samuel Wangمشاهده پروفایل

استادیار

• Causal Discovery
• Graphical Models
• High-Dimensional Statistics
• +۳ مورد دیگر

Y. Samuel Wang is an Assistant Professor in the Department of Statistics and Data Science at Cornell University. He holds a PhD in Statistics from the University of Washington and a BS in Applied Mathematics and Economics from Rice University. Prior to academia, he worked as a management consultant and served as a postdoctoral researcher at the University of Chicago’s Booth School of Business. His research focuses on causal discovery, graphical models, mixed membership models, and high-dimensional data analysis, with applications in network science, environmental studies, and healthcare. Education: PhD in Statistics, University of Washington BS in Applied Mathematics & Economics, Rice University Research Interests: Development of interpretable statistical methods for causal inference and graphical model structures High-dimensional data analysis, particularly in non-Gaussian settings Applications in collaborative networks, environmental microbiology, and healthcare outcomes Recent Research Trends: Recent publications emphasize causal discovery under latent confounding, functional graphical models, and gender dynamics in scholarly collaborations. Methodological contributions include robust high-dimensional inference techniques and computational tools for cyclic structural equation models. Professional Activity: Licensed on GitHub, Google Scholar, and ORCID GitHub repositories include projects on causal discovery (highDNG), gender homophily analysis (genderHomophily), and mixed membership models (mixedMem)

Sonia Flissمشاهده پروفایل

استاد

• Wave Propagation
• Mathematical Analysis
• Numerical Analysis
• +۵ مورد دیگر

Sonia Fliss is a Full Professor at ENSTA Paris , affiliated with the Department of Applied Mathematics and the POEMS laboratory (UMR CNRS-INRIA-ENSTA) . She teaches applied mathematics courses on partial differential equations (PDEs) , finite element methods , and periodic homogenization to undergraduate and graduate students. Doctor in Applied Mathematics (2009) Authorized to supervise research (2019) Research Interests : Sonia Fliss specializes in the modeling and numerical analysis of wave propagation in periodic, quasi-periodic, and random media . Her work includes transparent boundary conditions , guided waves , and asymptotic methods for acoustic, electromagnetic, and elastic wave phenomena . Recent Publications highlight her contributions to the Half-Space Matching Method , edge states in honeycomb structures , and scattering problems in unbounded domains . Her numerical techniques address multi-scale waveguides and time-harmonic propagation . Laboratory : As a member of the POEMS team, she collaborates on interdisciplinary projects involving mathematical analysis , computational physics , and engineering applications in domains like defence, energy, and transport .

Larry Goldsteinمشاهده پروفایل

استاد

• Distributional approximation
• Stein’s method
• High dimensional statistics
• +۴ مورد دیگر

Larry Goldstein is a Professor of Mathematics at the University of Southern California, specializing in probability theory, mathematical statistics, and their applications. He holds a Ph.D. in Mathematics from the University of California, San Diego (1984). His research focuses on distributional approximation via Stein’s method, high-dimensional statistics, concentration inequalities, and statistical efficiency, with applications in epidemiology and biomedical monitoring. He has organized and participated in numerous conferences, including the 'Stein’s Method: The Golden Anniversary' in Singapore (2022) and the 'BIRS Stein Conference' in Banff (2022). Goldstein teaches advanced courses such as Probability Theory, Statistical Consulting, and Mathematical Statistics, often incorporating modern computational tools like R. He has led international summer programs at the University of Perugia, Italy, on topics including mathematical statistics and high-dimensional probability. His work bridges theoretical foundations with practical applications, including modeling transdermal alcohol concentration and analyzing complex sampling designs in cohort studies. His contributions to Stein’s method include developing couplings for distributional approximation and concentration inequalities. Goldstein’s teaching emphasizes statistical inference, machine learning, and data analysis, reflecting his dual focus on rigorous theory and real-world problem-solving.

• Numerical Analysis
• Partial Differential Equations
• Integral Equations
• +۳ مورد دیگر

Mario Annunziato is a Researcher in Mathematics at the Department of Physics, University of Salerno, since 2004. His work focuses on numerical methods for stochastic processes and optimal control. Institution: University of Salerno Department: Department of Physics Academic Rank: Researcher Research Interests include numerical solutions of PDEs and integral equations for stochastic processes, probability density function optimization, and modeling random phenomena. His work addresses positivity, monotonicity, and conservation in discrete PDFs. Article Trends span stochastic control frameworks, computational finance, biophysics applications, and numerical methods for jump-diffusion processes. Key topics involve Fokker-Planck equations, Hamilton-Jacobi-Bellman formulations, and splitting methods. Advising and Grants include teaching Numerical Analysis until 2013 and securing funding from the University of Salerno's FARB program, INdAM-GNCS, and the European Science Foundation's OPTPDE grants. He participated in the STRIKE Marie Curie ITN network. Labs & Teams : Collaborated with Prof. Alfio Borzì at Würzburg University and contributed to open-source tools like MATLAB Central File Exchange for PDP solvers.

Jennie E. Brandمشاهده پروفایل

استاد

• Social Stratification
• Inequality and Mobility
• Social Demography
• +۳ مورد دیگر

Jennie E. Brand is a Professor of Sociology and Professor (by courtesy) of Statistics and Data Science at the University of California, Los Angeles (UCLA). She co-directs the Center for Social Statistics (CSS) and serves as President of the Association of Population Centers (APC). Her affiliations include the Population Association of America (PAA), International Sociological Association (ISA), and editorial boards of Social Forces , Sociological Methodology , and Science Advances . Research Interests include social stratification, inequality, causal inference, and the socioeconomic impact of higher education. She explores Access to and returns from higher education Consequences of job displacement and disruptive events Machine learning applications in social science Intergenerational mobility and family effects Scientific Awards include the ASA Mathematical Sociology Outstanding Publication Award (2024), Sociological Research Association membership (2019), and the ASA Methodology Leo Goodman Mid-Career Award (2016). Grants awarded by NICHD, NIH, NSF, and Robert Wood Johnson Foundation support her work on population research, causal inference, and health disparities. She has mentored numerous graduate students, including Ph.D. recipients at NYU, Stanford, and Oxford.

Lloyd A Goldsamtمشاهده پروفایل

پژوهشگر

• HIV/AIDS Prevention
• Substance Use Disorders
• STI Prevention
• +۱۲ مورد دیگر

Lloyd A. Goldsamt is a Senior Research Scientist at NYU Rory Meyers College of Nursing and holds an affiliated role at the NYU School of Global Public Health as Associate Director of the Dissemination Core at the Center for Drug Use and HIV/HCV Research. He is also a faculty member at the Fordham University HIV and Drug Abuse Prevention Research Ethics Training Institute. His work spans over 25 years of NIH-funded and community-based research focused on HIV and STI prevention among high-risk populations including men who have sex with men, male sex workers, and injection drug users. PhD, MA in Clinical Psychology – SUNY Stony Brook BA – University of Massachusetts at Amherst Dr. Goldsamt’s research centers on behavioral and structural interventions to reduce HIV transmission, with a particular focus on stigma, mental health, and health disparities. His expertise includes evaluation of drug courts, mHealth adherence platforms, and ethical frameworks for research involving vulnerable populations. He has conducted extensive work in international settings, including China and Vietnam, and has contributed to understanding condom-related stigma, ART adherence, and the psychosocial health of marginalized groups. His recent publications reflect a strong trend toward mixed methods and intervention development, particularly in the areas of digital health, stigma reduction, and ethical research practices. He has led or contributed to studies on nurse mental health during the pandemic, retention in HIV care among youth, and culturally sensitive interventions for older adults and male sex workers. Phi Beta Kappa Dr. Goldsamt serves as Evaluator for the Brooklyn Treatment Court, an Evaluator for the OJJDP Juvenile Drug Court Learning Collaboratives, and an Evaluation Consultant for the OJJDP Opioid Affected Youth Initiative. These roles underscore his commitment to translating research into policy and practice within the juvenile justice and public health systems. He has not advised any named students in the available texts, but his leadership in training and ethics programs suggests mentorship involvement. He is actively involved in research teams and cores at NYU, particularly those focused on drug use, HIV, and public health dissemination. His work bridges clinical psychology, public health, and social justice, aiming to improve health outcomes for underserved populations through rigorous evaluation and ethical research practices.

• Numerical Analysis
• Uncertainty Quantification
• Inverse Problems
• +۳ مورد دیگر

Oliver G. Ernst is a Professor of Numerical Analysis at Technische Universität Chemnitz . His research focuses on Numerical Analysis , Uncertainty Quantification , and Inverse Problems , with applications in Thermo-Hydro-Mechanical (THM) processes , Electromagnetics , and Stochastic Partial Differential Equations . He is associated with the Numerical Analysis group at TU Chemnitz. Key Research Areas : Efficient numerical methods for PDEs Krylov subspace techniques Stochastic finite element methods Multi-physics modeling Geoscientific applications Recent Publications (2025-2010): THM simulations under uncertainty Neural network PDE solvers Bayesian inversion frameworks Rational Krylov algorithms Deflated restarting strategies Collaborations : TU Bergakademie Freiberg University of Manchester Technical University of Munich University of Maryland University of Geneva Software Development : Contributor to OpenGeoSys platform Developer of FEMALY MATLAB library Academic Recognition : h-index 32, i10-index 66, with over 4423 citations since 2020.

Giovanni Russoمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Numerical Methods for Conservation Laws
• Numerical Methods for Kinetic Equations
• +۵ مورد دیگر

Giovanni Russo is a Full Professor of Numerical Analysis at the Department of Mathematics and Computer Science, University of Catania, Italy . He coordinates the PhD program in Pure and Applied Mathematics and has been a visiting scholar at institutions including Courant Institute, University of California, Los Angeles, University of Michigan, and University of Bordeaux. His career spans over four decades across academia and research institutions. Education: PhD in Physics (1986, University of Catania), Laurea in Nuclear Engineering (1982, Politecnico di Milano). Research Interests: Russo specializes in Computational Fluid Dynamics , Numerical Methods for Conservation Laws , and Kinetic Equations . His work includes asymptotic preserving schemes , IMEX methods , semi-Lagrangian schemes , and high-order numerical techniques for PDEs with applications to fluid dynamics, plasma physics, and multiscale modeling. Scientific Trends: Recent publications focus on modeling epidemic dynamics , kinetic equations for inert mixtures , semi-Lagrangian methods , and uncertainty quantification in quantum systems. These works reflect his expertise in high-order numerical schemes , multiscale analysis , and applied mathematical modeling . Scientific Awards: CNR-NATO Fellowship (1987) Advising and Grants: Russo has supervised nine PhD students and served as Principal Investigator (PI) for major projects including MOSCOVID (modeling COVID-19) and ModCompShock (Horizon 2020 Marie Curie project). He has also organized international conferences like the 18th European Conference on Mathematics for Industry with 370 participants. Labs and Teams: Russo collaborates with research groups at the University of Catania and has been a visiting researcher at Courant Institute, University of Michigan, and GSSI L’Aquila. He contributes to journals as an editor and reviewer, including SIAM Journal of Numerical Analysis and Journal of Computational Physics .

Jenny Guمشاهده پروفایل

مدرس

• Mindfulness
• Clinical Psychology
• Mental Health Interventions
• +۳ مورد دیگر

Dr. Jenny Gu is an Associate Tutor in the School of Psychology at the University of Sussex, with a secondary role as a Support Worker in Student Advice and Guidance. She holds a PhD from the University of Sussex (2018) focusing on mindfulness and compassion interventions. Her research interests span mindfulness-based cognitive therapy (MBCT), compassion measurement, healthcare worker well-being, psychometric scale development, and clinical trial methodologies. She has contributed to studies on youth mental health interventions, healthcare staff stress reduction, and the neuroscientific basis of brain structure variation. Notable projects include the EYE-2 trial on engagement strategies for psychosis patients and evaluations of mindfulness-based programs for stress management. Education: PhD in Psychology (2018): University of Sussex, Thesis: 'Mindfulness and compassion: measurement and mechanisms of interventions' Research Highlights: Her work emphasizes translating mindfulness and compassion research into practical healthcare applications. Key areas include validating compassion scales (e.g., Sussex-Oxford Compassion Scales), analyzing mindfulness questionnaire efficacy, and designing clinical trials for youth mental health. She also explores interventional strategies to improve engagement in first-episode psychosis care and reduce workplace stress among healthcare professionals. Grants & Collaboration: Her collaborative projects involve institutions like King's College London and the University of Oxford, focusing on randomized controlled trials and systematic reviews. Funding sources include mental health research grants and university partnerships. Labs/Teams: Active within the University of Sussex's clinical psychology research group, contributing to interdisciplinary mental health initiatives.

• Ergonomics
• Musculoskeletal Disorders Prevention
• Biomechanical Exposure Measurement
• +۷ مورد دیگر

Mikael Forsman serves as Professor and Head of the Division of Ergonomics at KTH Royal Institute of Technology's School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH). With a PhD in Medical Electronics from Chalmers University (1995), he has specialized in ergonomics research since 1994, developing both advanced research methods and practical tools for practitioners. His work spans laboratory experiments, field studies, and participative interventions at individual and organizational levels. M.Sc. (E. Eng.) from Chalmers University of Technology, Göteborg (1987) Ph.D. in Medical Electronics from Chalmers University of Technology (1995) Docent of Ergonomics, Department of Human Factors Engineering (1999) Forsman's research centers on reliable measurement methods for ergonomic risk assessment and prevention of musculoskeletal disorders. Key areas include: Development of inexpensive, user-friendly systems using microelectronics for biomechanical exposure measurement Field studies of physical and psychosocial exposures across various occupations Creation of questionnaires and investigation of correlations between work ability, musculoskeletal pain, and workload Work accident prevention and analysis Participative ergonomic interventions at multiple organizational levels Analysis of his recent publications (2023-2025) reveals three dominant research trends: (1) Development and validation of wearable sensor technologies for real-time ergonomic assessment; (2) Application of ergonomic principles in specialized fields like surgery, construction, and waste management; (3) Integration of human factors with digital technologies such as BIM. His work consistently bridges theoretical biomechanics with practical workplace solutions, emphasizing accessible methods for practitioners. Forsman has supervised approximately 20 master's theses and served as main supervisor for 3 doctoral theses with 8 additional co-supervised theses. Currently, he supervises 3 PhD students as main supervisor and 4 others as co-supervisor. He has led approximately 12 research projects and participated as co-applicant in about 20 projects funded by research councils. His educational contributions include responsibility for numerous master's level courses in ergonomics and work environment. As leader of KTH's Division of Ergonomics, Forsman directs research on biomechanical exposure measurement and practical ergonomic interventions. He actively promotes Nordic collaboration in ergonomics research, noting similarities in work life and research traditions across the region. Current projects include the Smart Workwear Consortium developing systems with real-time vibrotactile feedback for reducing postural exposure in industrial settings, and research on leadership aspects associated with digital technology adoption in construction.

Craig Leth-Steensenمشاهده پروفایل

دانشیار

• Cognitive Psychology
• Quantitative Methods in Psychology
• Reaction Time Analysis
• +۴ مورد دیگر

Craig Leth-Steensen is an Associate Professor in the Department of Psychology at Carleton University, affiliated with the Faculty of Arts and Social Sciences. He holds a Ph.D. from McGill University. His research focuses on cognitive psychology, particularly the application of quantitative methods and computational models (e.g., neural networks, random walks) to analyze human cognitive performance, reaction time distributions, and symbolic comparative judgments. Recent interests include early childhood cognitive development and interventions through programs like PlayWisely. His work spans experimental psychology and psychometrics, with key contributions to reaction time analysis, spatial-numerical associations (SNARC effect), and task-switching dynamics. He has published widely in journals like Psychological Review , Journal of Experimental Psychology , and Frontiers in Psychology . Dr. Leth-Steensen has no listed awards but has collaborated with institutions globally. His research emphasizes methodological rigor, integrating statistical techniques with experimental designs to explore information processing and decision-making mechanisms.

• Serious Games
• Game Design
• Virtual Reality
• +۳ مورد دیگر

Helmut Hlavacs is a Professor at the Faculty of Computer Science, leading the Research Group on Education, Didactics, and Entertainment Computing. His expertise spans serious games, game design, virtual reality, and health informatics. He has contributed to over 218 publications since 2005, focusing on topics like hedonic experiences in gaming, VR applications in therapy, and AI-driven behavior trees. His work intersects technology, education, and healthcare, with notable projects such as Conquer Catharsis (VR anxiety treatment) and PhyLab (VR physics experiments). Hlavacs has secured research funding for initiatives like Programmieren lernen durch Computerspielentwicklung and Dig-Equality FF , emphasizing digital equity and education. In 2019, he won the Best Poster Award at IFIP for his work on health data from serious games. Research Interests: Serious Games for health and education Virtual Reality applications in therapy and learning Game design methodologies and AI-driven NPC behavior Psychological impacts of gaming and digital consumption Procedural content generation for games Key Projects: Programmieren lernen durch Computerspielentwicklung (2008): Game-based learning for programming skills Dig-Equality FF (2020-2021): Digital competence promotion for equity TP1 PRECIOUS (2013-2016): VR conferencing and stress management Grants and Advising: Hlavacs has advised on projects involving AI in military command systems, VR therapy for anxiety disorders, and participatory design of social media literacy tools. He collaborates internationally on topics like gamification for behavior change and multicultural health interventions. Labs/Teams: His research group focuses on Serious Storytelling and Entertainment Computing , developing tools like the Prototypical game framework and InvisibleSound for blind musicians. Current work includes FiGHT (a web-based tool for eating disorder communication) and OutSmart! (a serious game for social media literacy).

Nils Henrik Risebroمشاهده پروفایل

استاد

• Partial Differential Equations
• Conservation Laws
• Numerical Analysis
• +۳ مورد دیگر

Nils Henrik Risebro is a Professor in the Department of Mathematics at the University of Oslo, specializing in Partial Differential Equations and Computational Mathematics. His research focuses on conservation laws, numerical methods for hyperbolic systems, traffic flow models, and stochastic processes. He has contributed extensively to the analysis of nonlinear PDEs, with a particular emphasis on well-posedness, numerical schemes, and applications in fluid dynamics and vehicular traffic. Recent work includes studies on continuum limits of non-local Follow-the-Leader models, non-local traffic flow models, and multilevel Monte Carlo methods for random conservation laws. He collaborates frequently with researchers like Helge Holden, Kenneth Karlsen, and Ulrik Fjordholm. His publications span high-impact journals such as SIAM Journal on Numerical Analysis , ESAIM: Mathematical Modelling and Numerical Analysis , and Zeitschrift für Angewandte Mathematik und Physik . Risebro’s articles often bridge theoretical analysis and computational methods, addressing challenges in fluid dynamics, porous media flow, and stochastic PDEs. His work demonstrates a strong focus on rigorous mathematical frameworks with practical engineering applications.

• Physiotherapy
• Respiratory Therapy
• Chronic Obstructive Pulmonary Disease (COPD)
• +۶ مورد دیگر

Ane Arbillaga Etxarri is a Physiotherapist and Researcher at the Department of Physiotherapy, Faculty of Health Sciences, University of Deusto. Her work focuses on respiratory physiology, chronic disease management, and the impact of environmental and behavioral factors on health. She has led numerous research projects including studies on COPD, cervical pain treatment, and exercise interventions. Primary affiliation: University of Deusto Research areas: Respiratory Therapy, COPD Management, Exercise Physiology, Environmental Health Her research highlights include developing reference equations for respiratory muscle strength, analyzing the effects of urban environments on COPD patients' activity levels, and investigating neural mobilization techniques for cervicobraquial pain. She has received awards for her work, including the SEPAR-PARI GmbH Communication Prize (2023) and the Best Oral Communication Award at the Spanish Physiotherapy Congress (2023). Current projects include studies on respiratory muscle weakness criteria, cadence patterns in COPD patients, and the psychological impact of AI in clinical reasoning among physiotherapy students. She has supervised doctoral research and contributed to clinical practice guidelines, such as the post-COVID-19 follow-up consensus by SEPAR. Awards: Multiple conference awards for impactful research presentations and innovative projects in physiotherapy and respiratory medicine.