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Eun Hee JeonView profile

Professor

• Applied Linguistics
• TESOL
• Second Language Reading
• +3 more

Eun Hee Jeon is a Professor in the Department of English at the University of North Carolina at Pembroke. She serves as the ESL Add-On Licensure Program Coordinator and TESOL Minor Program Coordinator. Her expertise spans Applied Linguistics, TESOL, Second Language Reading, Sociolinguistics, and Pragmatics. Dr. Jeon holds a Ph.D. from Northern Arizona University. Her research focuses on understanding the factors influencing second language (L2) proficiency, with a particular emphasis on reading comprehension and sociocultural aspects of language use. Her recent work includes meta-analytic studies examining correlates of L2 listening, speaking, and reading skills, as well as methodological advancements in measuring L2 proficiency. Key themes include analyzing learner differences, exploring internal/external correlates of language abilities, and refining assessment tools. Jeon's publications consistently address theoretical and practical dimensions of SLA, offering insights for pedagogical strategies and program development. She has contributed to understanding morphological awareness's role in L2 reading and the efficacy of instructional interventions for pragmatic development.

Alessio FarcomeniView profile

Professor

• Statistics
• Statistical Methodology
• Data Science
• +5 more

Alessio Farcomeni is a Professor of Statistics at the University of Rome Tor Vergata, specializing in statistical methodology development. His work bridges academia and applied research across disciplines including economics, medicine, ecology, and engineering. He has authored/co-authored over 250 peer-reviewed papers and two books, with notable contributions in hidden Markov models, Bayesian analysis, and quantitative social science measurement. His research emphasizes interdisciplinary collaboration, reflected in studies on population health, economic policy evaluation, and surgical outcome optimization. Farcomeni’s research interests span statistical theory, with a focus on methodological innovations for complex data structures (e.g., longitudinal, spatial, and high-dimensional datasets). He has pioneered approaches in quantile regression, semi-Markov processes, and latent variable modeling. His applied work addresses real-world challenges such as estimating material deprivation scales, modeling cardiovascular disease risk factors, and analyzing pandemic dynamics (e.g., COVID-19 forecasting in Italy). His recent articles highlight advancements in statistical techniques for healthcare (e.g., AI-driven dermatology diagnostics, atrial fibrillation prediction models) and socio-economic analysis (e.g., macroprudential policy impacts, cross-country material deprivation comparisons). He is recognized for developing open-source statistical software packages, contributing to reproducible research practices. Farcomeni holds the distinction of being ranked among Italy’s top scientists by VIA-Academy. His work frequently integrates Bayesian methods, machine learning, and big data analytics to address pressing questions in public health, environmental science, and economic policy.

• Endocrinology
• Thyroid Disease
• Calcium Pathophysiology
• +4 more

John Walsh is a Clinical Professor in Internal Medicine at the UWA Medical School, University of Western Australia, and a Consultant Endocrinologist at Sir Charles Gairdner Hospital in Perth. His expertise spans endocrinology and diabetes, with a focus on thyroid disorders, calcium metabolism, and metabolic bone diseases. He holds adjunct academic roles and has published over 180 peer-reviewed articles. Education: PhD (Monash University, 1998), FRACP (1995), MB BS (Newcastle University, 1988), BA (Hons) in Physiological Sciences (University of Oxford, 1985). Research interests include thyroid disease epidemiology, genetic determinants of bone disorders, and vitamin D’s non-canonical effects. He leads international consortia and has secured grants from NHMRC and Western Australian Health, including projects on osteoporosis genetics and thyroid medicine in autism spectrum disorder. Key contributions include defining gestational thyroid dysfunction thresholds, studying calcimimetic receptor variants, and investigating longitudinal body composition-cardiovascular links. Collaborations span global institutions, focusing on endocrine epidemiology and translational medicine.

François BellavanceView profile

Professor

• Data Mining
• Road Safety
• Applied Statistics
• +3 more

François Bellavance is a Full Professor at HEC Montréal's Department of Decision Sciences, affiliated with École des HEC de Montréal. He holds advanced degrees from Université de Montréal: B.Sc. in Mathematics (1985), M.Sc. in Statistics (1987), and Ph.D. in Statistics (1994). His research focuses on data mining, road safety, statistical methodologies for cross-sectional and longitudinal studies, and applied statistics. He is a member of several research centers including CIRRELT (transportation logistics), RRSR (road safety), GERAD (decision analysis), and IVADO (data science). His work spans diverse areas such as analyzing smartphone use impacts on pedestrian safety, statistical models for survival analysis, and evaluating public health policies. Over 18 master’s theses supervised since 2019 reflect expertise in data-driven decision-making across finance, transportation, and healthcare domains. Notable contributions include publications in Accident Analysis & Prevention , Frontiers in Psychology , and Journal of Statistical Computation and Simulation . He collaborates with industry and government on projects like risk assessment in transportation and healthcare analytics. His affiliations include leadership roles in academic programs at HEC Montréal, emphasizing translational research between theory and practical applications.

Yuqiu YangView profile

Lecturer

• Cancer Biology
• Immunology
• Bioinformatics
• +3 more

Yuqiu (Ian) Yang is an Assistant Instructor at the Peter O’Donnell Jr. School of Public Health at The University of Texas Southwestern Medical Center. He holds a Ph.D. in Biostatistics from Southern Methodist University. His research focuses on cancer biology, immunology, and bioinformatics, with an emphasis on developing computational tools for biomedical data analysis and understanding mechanisms of therapy resistance in prostate cancer and immunotherapy outcomes. Yang’s work integrates biostatistical methods with oncological and immunological research to advance translational medicine. Key research areas include epigenetic regulation in cancer, T cell receptor-antigen interactions, and the application of Bayesian/deep generative models in immunology. He has contributed to methodologies like MetaNorm (for NanoString data normalization) and Cytomulate (CyTOF simulation), highlighting his expertise in computational biology and high-throughput data analysis. Publications since 2022 reflect a focus on prostate cancer mechanisms, immunotherapy efficacy biomarkers, and cross-species T cell receptor predictions. His interdisciplinary approach bridges statistics, genomics, and clinical oncology, addressing challenges in precision medicine and drug resistance.

Daniel C. FeldmanView profile

Professor

• Social Psychology
• Organizational Behavior
• Career Development
• +5 more

Daniel C. Feldman serves as a Professor of Management at the University of Georgia's Terry College of Business, recognized as a leading scholar in Business and Management with a D-index of 93. His extensive research portfolio spans Social Psychology, Organizational Behavior, and Career Development, earning him four consecutive Research.com United States Leader Awards (2022-2025) and Fellowship in the National Academy of Public Administration. His research focuses on: Emotional labor and workplace affect regulation Age-related stereotypes in employment Subjective career success metrics Psychological contract violations Workaholism and occupational burnout These investigations frequently employ meta-analytic methodologies to establish empirical foundations for organizational theories. His publication trends reveal consistent contributions to: Social Psychology (44.94% of output) Labor Economics (15.19%) Job Performance research (15.19%) with recent work emphasizing age dynamics in the workplace and employee voice behavior through conservation of resources frameworks. Major recognitions include: Research.com Business and Management Leader Award (2022-2025) National Academy of Public Administration Fellowship As a prolific collaborator, Feldman maintains extensive research partnerships with Thomas W. H. Ng (University of Hong Kong), Mark C. Bolino (University of Oklahoma), and Lillian T. Eby (University of Georgia), producing highly cited works that shape contemporary understanding of career trajectories and workplace behavior. His research informs evidence-based human resource practices globally. Feldman's laboratory investigations focus on longitudinal career development patterns and age-related employment phenomena, with current projects examining late-career transitions and stereotype mitigation in multigenerational workplaces.

Debbie L. Hahs-VaughnView profile

Professor

• Educational Research
• Quantitative Statistics
• Complex Sample Data Analysis
• +4 more

Debbie L. Hahs-Vaughn is a Professor and Academic Program Coordinator in the Department of Learning Sciences and Educational Research at the University of Central Florida (UCF), part of the College of Community Innovation and Education. She holds a Ph.D. in Educational Research from the University of Alabama, along with an MBA and BFA from Missouri State University. Her work focuses on quantitative statistical methods applied to complex sample data, program evaluation, and bridging research to educational practice. She authored six statistics textbooks, including Introduction to Statistical Concepts (2020) and Applied Multivariate Statistical Concepts (2016), and contributes to editorial roles at journals like the Journal of Experimental Education . Dr. Hahs-Vaughn has served in leadership roles for professional organizations including AERA SIGs and the Florida Educational Research Association. Her research spans educational policy, health outcomes in youth with autism, and innovative teaching strategies. She has collaborated with large national datasets like FACES, ECLS-K, and NSCH, emphasizing methodological rigor in applied research. Education: Ph.D., Educational Research, University of Alabama MBA (Marketing emphasis), Missouri State University BFA, Graphic Design, Missouri State University Research Interests: Her work emphasizes methodological innovations in complex data analysis, program evaluation frameworks, and translating research into practical educational tools. Key areas include: Quantitative methodologies for national education datasets Evaluating teacher preparation and retention policies Health-related factors influencing academic outcomes in diverse populations Online and hybrid education effectiveness Professional Contributions: Dr. Hahs-Vaughn has published over 60 articles and serves on multiple editorial boards. She is a certified What Works Clearinghouse design reviewer and active in promoting interprofessional collaboration in speech-language pathology. Recent work explores adaptive learning systems in mathematics, ADHD management in college students, and family-based interventions for autism spectrum disorder. Her research bridges theory and practice, addressing real-world challenges in education and healthcare. Awards and Grants: While specific award names are not listed, she is noted for receiving multiple research, teaching, and service awards. Her grants include projects like FLORIDA XCEL-IT (information technology career preparation) and the M-PATH advanced manufacturing evaluation initiative. Labs and Collaborations: Engaged in interdisciplinary teams through UCF’s College of Community Innovation and Education, focusing on applied research partnerships with schools and community agencies. Active in the Galileo School for Gifted Learning and Tangelo Park Program advisory roles.

• Osteoporosis
• Bone Mineral Density
• Fracture Risk Assessment
• +4 more

Liesbeth Vandenput is a Professor affiliated with the Mary MacKillop Institute for Health Research within the Faculty of Health Sciences. Her research focuses on osteoporosis, bone health, and fracture risk assessment, particularly through the development and validation of the FRAX model. She investigates clinical risk factors, sarcopenia, and epidemiological patterns across diverse populations. Key contributions include: FRAX model optimization for race-specific populations Meta-analyses on fall history and fracture risk Novel insights into DHEA supplementation effects Her work bridges clinical guidelines and population health, addressing global disparities in osteoporosis management. Major studies include the OsteoPreP trial and SUPERB cohort analysis, exploring synbiotic supplementation and sarcopenia-fall associations. No grants or awards explicitly listed in available texts.

Rebecca BunnView profile

Professor

• Mycorrhizal Ecology
• Plant-Soil Interactions
• Invasion Ecology
• +3 more

Dr. Rebecca Bunn is a Professor in the Department of Environmental Sciences at Western Washington University's College of the Environment. Her research focuses on plant-soil interactions, particularly mycorrhizal ecology within contexts of invasion ecology, sustainable agriculture, and restoration. She holds a PhD in Land Resources & Environmental Sciences from Montana State University, an MS in Environmental Engineering from University of Colorado, and a BS in Civil Engineering from Michigan Technological University. Her investigations examine how mycorrhizal fungi influence nutrient acquisition, plant competition, and ecosystem resilience. Recent publications explore carbon transfer mechanisms in plant-fungal symbioses, invasive species impacts on native ecosystems, and restoration outcomes in grassland habitats. She maintains an active Soil Ecology Lab and teaches courses including Plant and Soil Interactions and Multivariate Methods for Environmental Science. Dr. Bunn's work combines field experimentation with advanced statistical approaches to address ecological questions. Her research spans diverse environments from prairie ecosystems to thermal-influenced soils in Yellowstone National Park, with recent focus on canopy soil communities in old-growth forests.

Gareth MatthewsView profile

Academic

• Cardiovascular Medicine
• Arrhythmia Research
• Medical Imaging (MRI)
• +3 more

Dr. Gareth Matthews is an NIHR Clinical Lecturer at the Norwich Medical School, University of East Anglia (UEA), with academic affiliations at the Norfolk and Norwich University Hospital (NNUH). His academic background includes an MB PhD from the University of Cambridge and training at Royal Papworth Hospital as an NIHR Academic Clinical Fellow. He specializes in mechanisms, risk stratification, and treatment of atrial and ventricular arrhythmias, with a focus on cardiovascular imaging and hemodynamic modeling. Key research projects include the NIHR Clinical Lecturer program (2022–2026) and the Clinical Relevance of Right Heart Flow Haemodynamics (2025–2028), funded by Edwards Lifesciences. His work leverages cardiac MRI and pressure-volume loop analysis to improve diagnostics and prognostics in heart failure, particularly HFpEF and HFrEF. Collaborations span institutions across the UK and internationally, emphasizing multi-centre studies. Research interests extend to arrhythmia mechanisms, imaging biomarkers (e.g., aortic flow abnormalities, left atrial strain), and translational cardiovascular medicine. Recent studies highlight MRI-derived models for right atrial pressure and sex-specific pulmonary capillary wedge pressure, alongside investigations into cardiovascular health in cancer patients. His publications reflect a blend of clinical and methodological innovation. Dr. Matthews has been awarded grants totaling £[X] through NIHR and industry partnerships. His work is disseminated through high-impact journals like Trends in Cardiovascular Medicine and Heart , with a focus on peer-reviewed articles and abstracts. He advises no formal trainees but collaborates extensively with researchers and clinicians in cardiology and imaging.

Xiufeng LiuView profile

Researcher

• Energy Systems
• Data Analytics
• Renewable Energy
• +5 more

Xiufeng Liu is a Senior Researcher at the Department of Technology, Management and Economics at the Technical University of Denmark (DTU). His research focuses on smart meter data analytics, big data, and energy systems, contributing to UN Sustainable Development Goals related to affordable and clean energy. He holds a PhD from Aalborg University (2012) and has held positions at IBM Canada, the University of Waterloo, and Åbo Akademi University. Dr. Liu’s expertise spans energy economics, climate policy modeling, and data-driven methodologies. His work integrates machine learning with energy systems, addressing challenges such as wind power forecasting, solar cell optimization, and heat load prediction. Key projects include OPTIX (optimizing positive-energy districts) and ANSWER (wind-solar energy prediction models). His research outputs emphasize sustainable energy solutions, including federated learning frameworks for privacy-preserving data sharing and anomaly detection in energy grids. Collaborations span global institutions, reflecting his commitment to interdisciplinary energy solutions. Dr. Liu has supervised numerous projects and contributed to 148 publications. His work bridges technical innovation with policy implications, aiming to advance climate-compatible energy strategies globally.

Jianghu DongView profile

Assistant Professor

• Biostatistics
• Kidney Disease
• Transplantation Medicine
• +3 more

Jianghu (James) Dong, PhD, is an Assistant Professor in the Department of Biostatistics at the University of Nebraska Medical Center (UNMC) College of Public Health and concurrently holds an Assistant Professor role in the UNMC College of Medicine’s Department of Internal Medicine Division of Nephrology. He joined UNMC in 2019, following prior research roles at the BC Renal Agency, BC Transplant, and academic appointments at the University of British Columbia, University of Alberta, and Wenzhou Medical University. Dr. Dong earned his PhD in Statistics from Simon Fraser University in 2018, followed by an MSc from the University of Alberta (2005) and earlier degrees in statistics and mathematics from Renmin University of China (2003) and Beijing Normal University (1997). His research focuses on developing statistical methodologies to address clinical challenges in diabetes, chronic kidney disease, and kidney transplantation. Key areas include functional data analysis, longitudinal and survival analysis, joint modeling, clinical trials, and cost-effectiveness analysis. His work bridges biostatistical innovation with practical applications in nephrology and transplantation medicine. Dr. Dong has contributed to over 50 peer-reviewed publications, with recent work emphasizing pandemic estimation methodologies, long-COVID risk factors, and organ transplantation outcomes. His affiliations with the UNMC Department of Biostatistics and the Division of Nephrology position him at the intersection of advanced statistical research and clinical practice.

• Mobile Crowdsensing
• Wireless Networks
• IoT
• +4 more

Leye Wang is a researcher with a Ph.D. from Telecom & Management SudParis (2016). His work focuses on mobile crowdsensing, wireless networks, IoT, and urban computing. He has collaborated extensively with institutions like Tsinghua University and the University of Hong Kong. Education : - Ph.D., Telecom & Management SudParis, Évry, France (2016) Research Interests : Wang's research addresses challenges in mobile crowdsensing, including privacy-preserving data collection, energy-efficient sensing, and spatiotemporal data analysis. His work integrates machine learning with signal processing to enhance urban sensing systems, disaster response, and healthcare monitoring through WiFi and IoT devices. Articles Trends : Recent publications emphasize reliable signal processing (e.g., WiFi-CSI for gesture recognition), privacy-preserving techniques (e.g., federated learning), and spatiotemporal models for traffic and crowd prediction. Grants & Labs : No specific grants or labs mentioned in the text; contributions are primarily through collaborative projects with co-authors like Daqing Zhang and Qiang Yang.

Matthias RaddantView profile

Researcher

• Financial Risk
• Asset Pricing Models
• Financial Integration
• +3 more

Dr. Matthias Raddant is a researcher at the University for Continuing Education Krems, affiliated with the Department for Knowledge and Communication Management, and a resident scientist at the Complexity Science Hub in Vienna. He holds a PhD in quantitative economics from Kiel University. Previously, he served as an assistant professor at Kiel University and a post-doctoral researcher at the Kiel Institute for the World Economy. His research focuses on financial risk, asset pricing models, corporate governance, economic networks, and sustainability. He has explored topics such as interdependencies in financial markets, corporate board dynamics, and the application of network theory to economic systems. His work bridges econophysics and traditional financial economics, emphasizing systemic risk and interconnectedness. Key publications include analyses of global financial market interconnectedness, corporate board networks, and the use of trade data for mineral resource flow studies. He is an associate editor for SN Business and Economics and contributes to policy advice on sustainability and financial systems. Labs/Teams: Platform for Sustainable Development (Krems), Complexity Science Hub Vienna.

Joachim HartungView profile

Professor

• Applied Statistics
• Meta-Analysis
• Clinical Trials
• +3 more

Prof. Dr. Joachim Hartung was a prominent statistician at the Technical University of Dortmund (now TU Dortmund), holding the Chair of Statistics with Applications to Engineering for 34 years. He joined the university in 1979 as part of the first generation of professors in the Department of Statistics and retired in 2013. His academic journey began with a doctorate in Mathematics from the University of Bonn (1972), followed by roles as a research assistant and professor in applied statistics at the University of Bonn and Münster. Research & Contributions: Hartung is renowned for his seminal textbook Statistics - Textbook and Handbook of Applied Statistics (1982), updated through 15 editions. His work spanned meta-analysis, clinical trials, and statistical modeling, including leadership in the Collaborative Research Center 475 on multivariate data structures. He co-authored Statistical Meta-Analysis with Applications (2008) and pioneered adaptive group sequential clinical trials. Awards & Recognition: He received the Thomas L. Saaty Prize (2006) for his meta-analysis research. His legacy includes founding and leading the Graduate Schools in Applied Statistics (1993–2002) and Statistical Modeling (2002–2006). Academic Leadership: Hartung served as dean and held roles in university governance. His interdisciplinary impact is evident through collaborations with industry partners like Procter & Gamble and Danone, and his involvement in sensory science and standardization committees.