جست‌وجوی استاد و پژوهشگر

Mathias Schäffnerمشاهده پروفایل

استاد

• Applied Analysis
• Homogenization
• Elasticity Theory
• +۴ مورد دیگر

Dr. Mathias Schäffner holds a tenured professorial position in the Department of Mathematics at Martin-Luther-Universität Halle-Wittenberg, within the Faculty of Natural Sciences II. His research focuses on applied analysis, particularly homogenization theory, nonlinear elasticity, elliptic regularity, and stochastic processes. Prior to this, he served as a Junior Professor at TU Dortmund (2020–2022) and held postdoctoral positions at Leipzig University/MPI (2018–2020) and TU Dresden (2015–2018). He earned his PhD in Mathematics from the University of Würzburg in 2015. His work emphasizes the mathematical analysis of composite materials, stochastic homogenization, and the derivation of effective theories for heterogeneous media. Notable contributions include studies on Gamma-convergence, corrector estimates in nonlinear elasticity, and domain truncation methods for wave equations. His research bridges pure and applied mathematics, with applications in continuum mechanics and material science. Publications span topics like homogenization of random laminates, Lavrentiev gaps in vectorial functionals, and Lipschitz regularity for non-uniformly elliptic systems. Collaborators include prominent mathematicians such as Stefan Neukamm, Peter Bella, and Anja Schlömerkemper. His personal website provides further details on ongoing projects and preprints.

Michael R. Loweمشاهده پروفایل

استاد

• Obesity
• Eating Disorders
• Hedonic Hunger
• +۲ مورد دیگر

Dr. Michael R. Lowe is a Professor of Clinical Psychology in the Department of Psychological and Brain Sciences at Drexel University. He holds a PhD from Boston College and directs the Biobehavioral Study of Eating and Weight laboratory, focusing on obesity, eating disorders, and weight management. Research Focus: Lowe investigates eating behaviors, weight suppression, and hedonic hunger mechanisms. He developed the Power of Food Scale and examines why psychological treatments for obesity have seen limited improvement over decades. His work explores physiological and behavioral determinants of weight regain, dieting effects, and biological-environmental interactions. Publications: Recent articles examine infant weight variability predictors, food restriction debates, and longitudinal predictors of disordered eating. Neuroimaging studies investigate prefrontal activation patterns related to eating behaviors. Professional Activities: Dr. Lowe serves as research consultant to the Renfrew Center for eating disorders and is principal investigator on the NIH-funded POWERS study. His laboratory includes graduate students and postdoctoral fellows investigating weight variability, hedonic eating, and treatment efficacy.

Alan Morrisمشاهده پروفایل

مدرس

• Alzheimer’s Disease
• Blood-Brain Barrier
• Endocannabinoid System
• +۵ مورد دیگر

Alan Morris, Ph.D., is a Lecturer in the Bachelor's in Psychology Program at the University of Colorado Denver. He holds a B.Sc. in Biochemistry from the University of Sussex and a Ph.D. in Clinical Neuroscience from the University of Southampton. His research focuses on the intersection of Alzheimer’s disease, the endocannabinoid system, and blood-brain barrier dynamics, with expertise in randomized controlled trials. Education: B.Sc. Biochemistry, University of Sussex Ph.D. Clinical Neuroscience, University of Southampton Morris’s research investigates endocannabinoid signaling, neuroinflammation, and blood-brain barrier integrity in Alzheimer’s disease. His work integrates translational techniques and clinical research to identify novel therapeutic targets. Prior to returning to research in 2021, he served as a professional editor at Nature Portfolio for five years. His recent publications explore topics such as amyloid-beta clearance mechanisms, vascular basement membrane dynamics, and the role of growth factors in mitigating neurodegenerative deficits. Key subfields include cerebral amyloid angiopathy, perivascular fluid dynamics, and endocannabinoid modulation of neuroinflammation. Alan teaches courses in behavioral neuroscience, learning mechanisms, drug effects on the brain, and biological bases of behavior, aligning with his research expertise in neurodegenerative diseases and vascular neuroscience.

Reneé H. Mooreمشاهده پروفایل

استاد پژوهشی

• Biostatistics
• Clinical Trials
• Public Health
• +۶ مورد دیگر

Reneé H. Moore, PhD, is a Research Professor in the Department of Epidemiology and Biostatistics at Drexel University’s Dornsife School of Public Health (DSPH). She serves as Director of the Biostatistics Scientific Collaboration Center (BSC) and Associate Dean for Culture, Community & Opportunity. Her expertise spans biostatistics, clinical trial design, and health equity, with a focus on interdisciplinary collaboration across public health and medicine. Dr. Moore holds a PhD in Biostatistics from Emory University, complemented by MS and BS degrees in Biostatistics and Mathematics. Her research interests include clinical trials, community-engaged research, health equity, and advanced statistical methodologies for longitudinal and clustered data. She has directed collaboration centers for nearly a decade, fostering partnerships in diverse public health domains. Dr. Moore is committed to fostering inclusive academic environments, particularly in training the next generation of biostatisticians and statisticians. Her publications reflect her leadership in vaccine trial monitoring, observational study design, and addressing disparities in cardiovascular and neurodegenerative disease outcomes. Notable contributions include analyses of net worth’s impact on blood pressure in African American women and safety profiles of Alzheimer’s drug candidates. Dr. Moore’s roles in institutional leadership emphasize cultural competence and opportunity expansion within public health education and practice. Labs/Teams: Director of the Biostatistics Scientific Collaboration Center (BSC), active member of DSPH’s academic leadership.

Brian Swingleمشاهده پروفایل

دانشیار

• Quantum Information
• Quantum Many-Body Systems
• Quantum Gravity
• +۳ مورد دیگر

Brian Swingle is an Associate Professor of Physics at the Martin A. Fisher School of Physics, Brandeis University. He holds a PhD from MIT (2011) and specializes in quantum information theory, quantum many-body systems, and quantum gravity. His research explores the interplay between entanglement and spacetime geometry, including the emergence of gravity from quantum systems and efficient quantum simulation techniques. Swingle's work spans theoretical physics with a focus on holography, operator growth in chaotic systems, and measurement-induced phase transitions. He contributes to advancing tensor network methods and quantum error correction codes. His affiliations include the Brandeis physics department and collaborations in quantum gravity research. Recent projects address energy transport in quantum systems, complexity measures in holography, and applications of reinforcement learning to quantum code discovery. Though no specific prizes are listed, his contributions to quantum information and gravity are widely recognized in academic circles.

Anatoly Dymarskyمشاهده پروفایل

دانشیار

• Quantum Chaos
• Conformal Field Theory
• Holographic Duality
• +۲ مورد دیگر

Anatoly Dymarsky is an Associate Professor in Physics & Astronomy at the University of Kentucky's College of Arts and Sciences. His research explores high-energy physics, quantum chaos, and holographic duality. His theoretical work bridges quantum information, gravity, and statistical mechanics. Key themes include eigenstate thermalization, Krylov complexity in quantum systems, and code-based models of holography. Recent publications demonstrate consistent focus on entanglement dynamics and quantum gravity formalisms. Notable research streams include: quantum thermalization in chaotic systems; holographic descriptions of conformal field theories; and applications of quantum information concepts to gravitational physics.

• Wireless Communications
• Stochastic Geometry
• Green Communications
• +۶ مورد دیگر

Sebastian Szyszkowicz is an Adjunct Professor in the Faculty of Engineering and Design at Carleton University. He holds a Ph.D. from Carleton University. His research focuses on wireless communications, stochastic geometry, and green communications. Key areas include outdoor urban channel modeling, drone-based communications, mmWave networks, and interference analysis. He has contributed to energy-efficient cellular network design through cell switch-off algorithms and automated base station placement strategies. His work leverages computational geometry and open urban maps for realistic network simulations. Research Interests: Wireless Communications: Channel modeling, mmWave networks, interference analysis Stochastic Geometry: Base station/user location modeling Green Communications: Energy-saving cell switch-off techniques Drone Communications: Urban coverage optimization Computational Urban Modeling: Utilizing open spatial data His publications emphasize network optimization in dense urban environments, including drone-base-station placement and mmWave small cell planning. He explores spatial heterogeneity in user distribution and energy-efficient cellular topologies.

Eric Lokenمشاهده پروفایل

دانشیار

• Latent Variable Models
• Bayesian Inference
• Reproducible Science

Eric Loken is an Associate Professor in the Department of Educational Psychology at the University of Connecticut's Neag School of Education. He earned his PhD from Harvard University, specializing in advanced statistical modeling with applications to educational testing. His research focuses on latent variable models, Bayesian inference, and reproducibility in science. Recent publications explore missing data in computerized adaptive testing (2025), person-specific heterogeneity in IRT models (2024), and methodological frameworks for multi-analyst studies (2024). Loken's work addresses critical methodological challenges including measurement error impacts on replication, model specification in mixture models, and patterns of omitted responses in language proficiency testing. He maintains active research in parenting intervention effects on child development outcomes. Methodological focus: Bayesian statistical modeling Psychometric theory Reproducibility science Large-scale educational assessment

• Economic Development
• Political Economy
• Economic History
• +۳ مورد دیگر

Bruno Caprettini is an Assistant Professor in Trade and Development at the University of St. Gallen, affiliated with the School of Management, Economics, and Law (SIAW). His research focuses on economic development, political economy, and economic history, with particular attention to labor market dynamics, technological change, and institutional impacts. He has conducted studies on historical case studies such as the Italian land reform, the British industrial revolution, and the New Deal's influence on American patriotism during WWII. His work combines quantitative and qualitative methods to analyze how structural transformations—such as technological adoption, policy reforms, and demographic shifts—shape economic outcomes. Notable projects include examining the electoral effects of land redistribution, the impact of wartime labor shortages on innovation, and the role of propaganda in pre-WWII Hamburg. Caprettini’s recent studies also explore contemporary issues like vaccination support during the pandemic and the economic implications of sports events. His research consistently bridges historical analysis with modern policy debates, offering insights into long-term economic and social trajectories. Although no formal advisement or grant details are explicitly provided in the text, his academic profile reflects a commitment to interdisciplinary scholarship at the intersection of economics, history, and political science.

Roger A. Piersonمشاهده پروفایل

استاد

• Reproductive Medicine
• Ultrasonography
• Endometrial Receptivity
• +۳ مورد دیگر

Dr. Roger A. Pierson is a University Distinguished Professor in Obstetrics and Gynecology at the University of Saskatchewan's College of Medicine. He holds advanced degrees from Purdue University and the University of Wisconsin-Madison, specializing in Reproductive Endocrinology/Physiology. His research focuses on ovarian physiology, endometrial receptivity, and AI-driven diagnostic tools in women's healthcare. Dr. Pierson pioneered ultrasonography visualization of human ovulation (1990) and contributed groundbreaking studies recognized as one of Discover Magazine's Top 100 scientific discoveries (2004). His laboratory develops imaging technologies for ovarian function assessment and endometrial analysis, with applications in infertility treatment and breast mass evaluation. He founded the Synergyne Group, commercializing Matris™ endometrial assessment software. Professional achievements include Fellowships in the European Academy of Sciences and Canadian Academy of Health Sciences, plus leadership roles such as CFAS President (1999–2000). Over 650 scientific publications and 50+ patented software solutions reflect his prolific output. Awards span clinical teaching excellence to national recognition for advancing women’s health. Research interests span follicular dynamics, hormonal contraception, and AI applications in reproductive medicine. His work bridges clinical practice with technological innovation, particularly in improving assisted reproductive technologies through imaging advancements.

Marc Noyمشاهده پروفایل

استاد

• Combinatorics
• Graph Theory
• Discrete Geometry
• +۳ مورد دیگر

Marc Noy is a Professor at the Department of Applied Mathematics II, Polytechnic University of Catalonia (UPC), affiliated with the School of Mathematics and Statistics. He is the Director of the Barcelona Graduate School of Mathematics (BGSMath) and leads the 2015-2019 Excellence program BGSMath/María de Maeztu. His research focuses on Combinatorics and Graph Theory, including asymptotic enumeration, random graphs, discrete geometry, and Tutte polynomials. He has advised multiple PhD and Master’s students and contributes to editorial roles for the Electronic Journal of Combinatorics and the Catalan Mathematical Society’s Bulletin. His teaching spans undergraduate and graduate courses in Combinatorics, Graph Theory, Complex Analysis, and Discrete Mathematics at UPC. He has participated in numerous international conferences and workshops, including the ICM 2014 and FOCM 2017. His work emphasizes the probabilistic analysis of graph structures, limit laws, and enumerative combinatorics. His recent publications explore topics like logical limit laws in graph classes, random planar graphs, and Tutte polynomial evaluations. He maintains active collaborations in combinatorial enumeration, with contributions to understanding graph properties in minor-closed classes and random geometric configurations.

Yvonnes Chenمشاهده پروفایل

استاد

• Health Communication
• Media Literacy
• Behavioral Intervention
• +۳ مورد دیگر

Yvonnes Chen is a Professor at the School of Journalism and Mass Communications, University of Kansas, specializing in health communication and media literacy. Her research designs behavioral interventions using neuroscience and media strategies, funded by NIH and other agencies. She teaches courses in research methods, strategic campaigns, and health communication, emphasizing student growth and problem-solving skills. Chen received the 2017 KU Mortar Board Outstanding Educator Award and Keeler Intra-University Professorship. Education: B.A. in Journalism, Shih Hsin University Mass Communication & Media Studies, Washington State University Ph.D. in Mass Communication & Media Studies, Washington State University Research Focus: Chen investigates how media literacy and persuasive messaging influence health behaviors (e.g., reducing sugar-sweetened beverages, e-cigarette prevention). She employs fMRI studies to analyze neural responses to advertising and develops scalable interventions for diverse populations, including rural communities and adolescents. Publications: Her 12 most recent articles (2015–2019) cluster around media literacy efficacy, behavioral intervention trials, and cross-cultural health strategies. Dominant themes include addiction prevention, health literacy measurement, and stereotype reduction through media education. Awards: 2017-2018 Center for Teaching Excellence Diversity Scholars Keeler Intra-University Professorship Advertising Educational Foundation Visiting Professor Phi Beta Delta Honors Society Grants & Advising: Secured $3M+ in funding, including NIH R01 grants and KU innovation awards. Mentored students winning FleishmanHillard Fellowships and International Association of Business Communicators awards. Current projects include neural studies of e-cigarette ads ($35,000 pending).

Konrad Abramowiczمشاهده پروفایل

دانشیار

• Functional Data Analysis
• Statistical Methods in Biomechanics
• Climate Research
• +۴ مورد دیگر

Konrad Abramowicz is an Associate Professor and Head of the Department of Mathematics and Mathematical Statistics at Umeå University. His research focuses on functional data analysis, classification, and local inference procedures in the presence of misalignment, with applications in biomechanics, climate research, and forest growth analysis. He teaches stochastic simulations and parametric modeling methods, emphasizing student development and curiosity-driven learning. Education: University of Wrocław (Poland), with Erasmus exchange to Umeå University Research: Functional data analysis, interdisciplinary collaborations in biomechanics and climate science Awards: Teaching awards for dedication to student mentorship Internationalization: Postdoctoral work in Australia; collaborations with Italy and India; faculty-level international contact Konrad's research spans functional data analysis applied to knee kinematics after ACL injuries, climate reconstruction using sediment data, and statistical methods for forest growth analysis. He developed computational tools like the fiberLD R package for fiber length determination in forestry studies. His recent publications highlight interdisciplinary applications of statistical methods, with a focus on movement pattern analysis, climate modeling, and non-destructive forest assessment. Konrad advocates for international collaboration and adaptive academic practices to address global challenges. Konrad has received teaching awards and is recognized for his supportive approach to students. He actively participates in university initiatives for international student integration and served as international coordinator for academic exchange programs. As a key member of the IceLab interdisciplinary research hub, Konrad bridges statistical methods with applications in biomechanics and environmental science. His work emphasizes the importance of mathematical abstraction in solving real-world problems.

• Functional Data Analysis
• Spatial Statistics
• Applied Statistics
• +۴ مورد دیگر

Sara Sjöstedt de Luna is a Professor in Mathematical Statistics at Umeå University's Department of Mathematics and Mathematical Statistics. She is a board member of The Wallenberg AI, Autonomous Systems & Software Program (WASP) and holds the title of Docent. Her research spans functional data analysis, spatial statistics, and their applications in climatology, forestry, and human motor control. Affiliation : Umeå University Department : Mathematics and Mathematical Statistics Research Focus : Functional data analysis, spatial statistics, and interdisciplinary applications in environmental and biomedical domains Her recent work involves developing statistical tools like the fdaMocca and fiberLD R packages, advancing methodologies for clustering functional data with covariates, and refining kriging approaches for spatiotemporal predictions. She has contributed to climate reconstruction using varved lake sediment data and biomechanical analysis of knee kinematics post-injury. Applications of her research include: Climate modeling using historical sediment records Wood fiber length determination for forestry studies Biostatistical analysis of human motor control Sjöstedt de Luna employs both parametric and nonparametric statistical techniques, with a focus on handling dependent data structures, censoring challenges, and algorithm design for complex datasets.

Cynthia Kinnanمشاهده پروفایل

دانشیار

• Development Economics
• Applied Microeconomics
• Microfinance
• +۵ مورد دیگر

Cynthia Kinnan is an Associate Professor in the Department of Economics at Tufts University's School of Arts and Sciences. Previously, she taught at Northwestern University. Her research focuses on financial behavior in developing economies, examining how households and small firms use formal and informal financial tools (e.g., credit, insurance, savings) to manage risk and invest. Key areas include missing markets, risk-household investment interactions, social networks, and microfinance. Methodologically, she employs randomized control trials, natural experiments, and theoretical equilibrium models. She holds affiliations with the National Bureau of Economic Research (NBER) and the Jameel Poverty Action Lab (JPAL). PhD (Economics), MIT (2010) MSc (Global Market Economics), LSE (2005) BS (Mathematics-Economics), University of Pittsburgh (2003) Her work emphasizes practical applications of economics to poverty reduction, including studies on health insurance in India and credit markets in Tanzania and Thailand. Recent research explores how formal credit markets reshape social networks and how insurance programs affect health outcomes in low-income settings. Awards: NBER Faculty Research Fellow Professional Roles: BREAD Affiliate, JPAL Affiliate Teaching and advising are central to her role, though specific student names are not listed here. Grants and collaborations likely underpin her field experiments, though details are omitted from the provided texts.