جست‌وجوی استاد و پژوهشگر

Laurentiu P. Maricutoiuمشاهده پروفایل

استاد

• Occupational Health Psychology
• Self-Regulatory Mechanisms
• Dual Process Theories
• +۱۲ مورد دیگر

Laurentiu P. Maricutoiu is a Professor in the Department of Psychology at the Faculty of Sociology and Psychology, West University of Timișoara (UVT). He earned his doctorate in Psychology from Babeș-Bolyai University under the supervision of the late Horia Pitariu and has remained an active academic and researcher at UVT. He teaches core courses including Work and Personnel Psychology, History of Psychology, Political Psychology, and Advanced Multivariate Statistics in the PhD program. His research focuses on occupational health psychology, with particular emphasis on self-regulatory mechanisms, dual-process theories, implicit and explicit self-esteem, coping strategies, and meta-analytic methods. He has published extensively in international journals such as Personality and Individual Differences , European Journal of Psychological Assessment , and Journal of Occupational and Organizational Psychology . His recent work includes meta-analyses on employee burnout, faking in psychological assessments, and counterproductive work behaviors, reflecting a strong methodological rigor and applied orientation. Maricutoiu is actively involved in research validation projects, having adapted and validated several key psychological instruments for the Romanian context, including the Contingencies of Self-Worth Scale, IPIP-50, and DSQ-60. He is a member of the Research Laboratory in Social Cognition and Personality Assessment (www.socpers.psihologietm.ro) and serves as Treasurer of the Industrial and Organizational Psychology Association (APIO – www.apio.ro). In 2011, he received the prestigious 'Horia Pitariu' Award from APIO for the best research publication in industrial and organizational psychology. Adaptation of Thinking Styles Inventory (TSI) Development of Teaching for Successful Intelligence Questionnaire (TSI-Q) Co-development of PowerStaTim 1.0 statistical software Research on emotional responses to computer errors Studies on political responsiveness and transparency He has contributed to multiple book chapters and authored or co-authored books on political psychology and statistical software. His work bridges theoretical psychology with practical applications in organizational settings, education, and human-computer interaction. He continues to advance psychological science through methodological innovation, cross-cultural adaptation, and evidence-based practice.

Annette Kopp-Schneiderمشاهده پروفایل

استاد

• Medical Biometry
• Biostatistics
• Clinical Trials
• +۷ مورد دیگر

Prof. Dr. Annette Kopp-Schneider is Head of Department at the German Cancer Research Center (DKFZ) and affiliated with the Faculty of Medicine at the University of Heidelberg. She holds a professorial rank and leads research in medical biometry with a focus on clinical trial methodology in precision oncology. Diploma in Mathematics, RWTH Aachen, 1984 Dr. rer. nat. in Mathematics, RWTH Aachen, 1987 Habilitation in Medical Biometry, University of Heidelberg, 1997 Her research interests include clinical trials for precision oncology , dose-response modeling , and biologically based mechanistic modeling of cell systems . She develops advanced statistical methods for trial design, particularly in pediatric oncology and settings with small sample sizes. Her work emphasizes rigorous control of type I error when borrowing historical data and optimal experimental designs for drug combinations. The recent publications reflect a strong trend in methodological biostatistics , particularly in Bayesian and frequentist approaches to clinical trial design , external data incorporation , and transparent evaluation in biomedical image analysis . Her contributions span oncology, toxicology, and translational medicine, with a consistent focus on statistical rigor and reproducibility. She has contributed to major initiatives such as the Pediatric Precision Oncology INFORM Registry, advancing personalized treatment for children with cancer. Her methodological work supports fair comparisons in hybrid and single-arm trials and improves the reliability of challenge-based research in medical imaging. Prof. Kopp-Schneider is actively engaged in grant-funded research and mentoring within her department. She leads a team focused on biostatistical innovation in clinical research, particularly in oncology settings where data are sparse and traditional designs face limitations. She is involved in collaborative teams working on biomedical image analysis challenges and pediatric cancer registries. Her lab contributes to open science through toolkits for challenge analysis and transparent reporting guidelines like BIAS (Transparent Reporting of Biomedical Image Analysis Challenges).

Gustavo de los Camposمشاهده پروفایل

استاد

• Epidemiology
• Biostatistics
• Genetic Analysis
• +۳ مورد دیگر

Gustavo de los Campos is a Professor in the Department of Epidemiology and Biostatistics at Michigan State University. He leads the MSU QuantGen group, collaborating with Dr. Ana Vazquez to develop methods and software for analyzing large-scale genomic data in human health, plant, and animal breeding. His work focuses on statistical prediction of complex traits and diseases using genetic and environmental data. Dr. de los Campos holds a Ph.D. from the University of Wisconsin. His research integrates omics data (genomics, transcriptomics) with environmental factors to improve predictive models for conditions like obesity, cancer outcomes, and crop yields. Recent efforts include breast cancer survival prediction and advancing genomic selection techniques for maize and dairy cattle. Key projects involve developing R-packages like BGLR and SFSI for big data analytics, and investigating genotype-by-environment interactions in agriculture. His work bridges statistical theory with practical applications, addressing challenges in healthcare, food security, and computational biology. Notable collaborations include the Genomes-to-Fields Initiative for crop research and large multicohort studies on infant brain development. His lab contributes to open-source tools and participates in global competitions to benchmark predictive modeling strategies.

• International Trade
• Globalization
• International Factor Movements
• +۷ مورد دیگر

Professor Peter H. Egger holds the Chair of Applied Economics: Innovation and Internationalization at ETH Zurich's Department of Management, Technology, and Economics. He is also a Research Professor at the ifo Center for International Economics (ifo Institute) and a CESifo Research Network Fellow. His research focuses on global economic dynamics, including international trade, foreign direct investment, migration, and the effects of globalization on technical change and inequality. His work examines firm behavior in global value chains, the impact of trade policies, and the role of international institutions like the World Trade Organization. Key themes include trade shocks, resource dependency, and the interplay between cultural factors and economic outcomes. Egger employs advanced econometric techniques such as Bayesian estimation and network analysis in his empirical studies. Notable contributions include analyses of multinational firms' tax strategies, the effects of border reforms on economic activity, and meta-analyses of language barriers in trade. His research has been published in leading journals and CESifo working papers, reflecting a commitment to addressing contemporary challenges in the global economy. Prof. Egger’s affiliations include leadership roles in the Global Economy Research Area at CESifo, where he coordinates studies on topics like global institutions and value chain organization. While no specific grants or advising roles are detailed here, his extensive publication record underscores his active engagement in shaping academic discourse on international economics.

John E. Kolassaمشاهده پروفایل

استاد

• Asymptotics
• Biostatistics
• Nonparametric Statistics
• +۳ مورد دیگر

John E. Kolassa is a Professor of Statistics at Rutgers, the State University of New Jersey. He is affiliated with the Department of Statistics, where he conducts research and teaching in asymptotics and biostatistics. His academic credentials include a Ph.D. from the University of Chicago, and he maintains an active research profile with numerous publications and contributions to statistical methodology. Ph.D., University of Chicago Dr. Kolassa's research is centered on asymptotic theory, nonparametric statistics, and biostatistical methods. His work includes the development and analysis of saddlepoint approximations, Edgeworth expansions, and inference techniques for complex data. He has a strong focus on theoretical statistics, with applications in medical and biological contexts. His expertise spans categorical data analysis, life data analysis, and regression models, as reflected in his teaching of graduate courses such as 960:555 (Nonparametric Statistics) and 960:583 (Methods of Inference). The 15 most recent publications, spanning from 2021 to 2013, demonstrate a consistent focus on statistical theory and methodology. Key themes include the refinement of approximation techniques (e.g., Edgeworth and saddlepoint), inference in complex models (e.g., posterior densities, penalized likelihood), and nonparametric methods. His work often addresses foundational issues in statistical inference, such as the validity of expansions, the reliability of p-values, and the handling of zero-event studies in meta-analysis. The research bridges theoretical development with practical application in biostatistics and health sciences. Fellow of the American Statistical Association (ASA) Fellow of the Institute of Mathematical Statistics (IMS) Elected member of the International Statistical Institute (ISI) Editor, Stat Dr. Kolassa is an active advisor and researcher, contributing to the academic community through his editorial role for the journal Stat . He has received significant recognition through his fellowships in the ASA and IMS, highlighting his impact on the field. His work has been supported through academic appointments and professional activities, though specific grant details are not provided in the source material. He is also involved in the development of statistical software, having created R packages for nonparametric methods and infinite estimates. Dr. Kolassa leads a research team focused on theoretical and applied statistics, with a particular emphasis on developing and validating statistical methodologies. He has mentored students and collaborated on interdisciplinary research, particularly in biostatistics and health outcomes. His laboratory or research group is centered on computational and theoretical statistics, utilizing tools like R for simulation and analysis.

David Sitzerمشاهده پروفایل

دانشیار

• Neuropsychology
• Geriatric Psychiatry
• Cognitive Behavioral Therapy
• +۴ مورد دیگر

David Sitzer serves as Associate Professor and Department Chair of Clinical Psychology at The Chicago School's Los Angeles campus within the College of Professional Psychology. Joining the institution in 2008 after chairing graduate psychology programs at Argosy University, he leads the Clinical Psychology program with expertise spanning neuropsychological assessment and clinical interventions. Education: BA in Psychology from San Diego State University Ph.D. in Clinical Psychology from Central Michigan University Research Interests: Dr. Sitzer integrates neuropsychological assessment with psychosocial interventions to improve daily functioning in older adults and individuals with severe mental illness. His work bridges Alzheimer's disease, schizophrenia, cognitive rehabilitation, and successful aging through both clinical practice and scholarly research. Key methodologies include cognitive screening, behavioral therapy, and meta-analytic approaches to treatment efficacy. Publication Trends: His 2006-2008 publications reveal a concentrated focus on cognitive interventions across neurodegenerative and psychiatric conditions. Articles demonstrate methodological rigor through meta-analyses of cognitive remediation in schizophrenia and Alzheimer's disease, while comparative studies examine neurocognitive profiles across bipolar disorder and schizophrenia. Collaborative work with UCSD researchers emphasizes practical applications for community-dwelling seniors and clinical populations. Scientific Awards: No scientific awards listed in the provided text Advising and Grants: Dr. Sitzer has supervised graduate and undergraduate student research and clinical work across multiple institutions including CMU, UCSD, and Argosy University. His community engagement includes Alzheimer's Association facilitation and journal reviewing for geriatric psychiatry publications. Labs and Teams: Research is conducted through clinical collaborations with UCSD's Division of Geriatric Psychiatry and community partnerships with the Alzheimer's Association, focusing on translational applications of cognitive interventions.

• Quantitative Research
• Research Methods
• Measurement Theory
• +۳ مورد دیگر

Dr. Jason Schenker is an Associate Professor and Program Coordinator for the 100% Online Master’s in Research, Measurement, and Statistics at Kent State University’s College of Education, Health and Human Services. He specializes in quantitative research, advanced statistics, and program evaluation. Ph.D. in Evaluation and Measurement from Kent State University (2007) M.A. in Industrial/Organizational Psychology from the University of Akron B.A. from Heidelberg College The program he coordinates emphasizes applied skills in assessment , research design , and psychometrics , catering to educators and professionals in K-12, higher education, and psychometric careers. Courses include: Quantitative Research ANOVA and Non-parametric tests Multivariate Statistics Value-Added Assessment Evidence-Based Practice Meta-Analysis Students complete a capstone project instead of a formal thesis, with flexibility to finish in 1–2 years.

• Child and Adolescent Health
• Physical Activity Promotion
• Health-Related Fitness
• +۴ مورد دیگر

You Fu, Ph.D., is an Associate Professor at the School of Public Health (University of Nevada, Reno). His research focuses on child and adolescent physical activity promotion , exercise motivation , motor skills development , and active video games interventions . Contact: youf@unr.edu. 2017 ICSPAH Early Career Research Excellence Award 2015-2016 Measurement in Physical Education and Exercise Science Reviewer of the Year Editorial Board: Measurement in Physical Education and Exercise Science, American Journal of Health Behavior, International Journal of Kinesiology and Sports Science His research spans physical activity epidemiology , school-based interventions , and movement behavior analysis . Recent studies examine 24-hour movement behaviors , mental health associations , and environmental determinants of youth physical activity. Publications in Journal of Physical Activity and Health , Games for Health Journal , and Preventive Medicine demonstrate interdisciplinary impact. Dr. Fu's work reveals consistent trends: active video games enhance classroom engagement; motor competence drives physical activity participation; social environments mediate health outcomes. His meta-analyses highlight physical activity enjoyment as a critical factor in sustaining youth interventions. Scientific Contributions: Developed novel step-count cut points for school-day vigorous activity Validated health-related fitness tests for college students Established cardiometabolic risk models linking physical activity and motor skills Dr. Fu's programmatic research includes Comprehensive School Physical Activity Program (CSPAP) evaluations, demonstrating interventions' effects on academic achievement , weight management , and classroom behavior . His work bridges kinesiology , public health , and health technology applications.

Adriana Bruscato Bortoluzzoمشاهده پروفایل

استاد

• Probability
• Statistics
• Multivariate Analysis
• +۶ مورد دیگر

Adriana Bruscato Bortoluzzo serves as a Full Professor at Insper Institute of Education and Research, holding a PhD in Statistics from the University of São Paulo (USP). She is affiliated with the School of Business and Economics, contributing to both the Professional Master's Degree in Administration and Bachelor's Degree in Economics programs. Her academic foundation includes a Bachelor's degree (1997), Master's degree (2000), and PhD (2006), all in Statistics from USP. Research centers on advanced statistical methodologies including non-stationary time series analysis, wavelet transformations, multivariate modeling, and econometric applications, with significant contributions to healthcare meta-analysis frameworks. Dr. Bortoluzzo has held substantial academic leadership roles including Coordinator of Scientific Initiation (2014-2018) and Undergraduate Thesis Coordinator for Economics (2016-2019). She currently serves on the Structuring Teaching Nucleus of the Master's in Administration, Insper Teaching and Learning Committee, Master's Board, and Insper Curricular Review Committee, demonstrating institutional influence across curriculum development and academic governance.

• Bayesian inference
• Biostatistics
• Clinical trials
• +۷ مورد دیگر

Mauro Gasparini is a Full Professor at the Department of Mathematical Sciences (DISMA) of Polytechnic University of Turin. He serves as Director of DISMA since 2019, Member of Academic Senate, and co-leader in the SmartData@PoliTO Big Data Laboratory. His career spans academia and industry, including roles at Purdue University (Assistant Professor 1992-1996) and Novartis (Senior Statistician 1996-1998). He has been Editor of Biometrical Journal (2012-2015) and maintains referee activities across international journals. PhD from University of Michigan (1992, Dirichlet process applications) Academic leadership: Department Director, Editorial boards, ISTAT Advisor Research spans Bayesian methodology with biomedical applications Maintains collaborations with Novartis, Chiesi, and research centers His research interests focus on Bayesian inference , Biostatistics , and Clinical trials methodology, particularly addressing issues in pharmaceutical development, genomic data analysis, and medical decision-making. Recent work includes vaccine efficacy modeling, optimal imaging timing for cancer diagnostics, and adaptive trial designs. Key publication trends show interdisciplinary applications in Statistics in Medicine , Biometrics , and Statistical Methods in Medical Research , with emphasis on biomedical data science, Bayesian adaptive methods, and clinical decision support systems. Scientific contributions include: Editor, Biometrical Journal (2012-2015) Advisor, Italian National Institute of Statistics (2020-2024) Leadership in multiple research projects (NODES, SORGENTE, IDEAS) As PhD advisor, he supervises students in: Shaoshi Tang (Clinical trial modeling) Saeed Sani (Biomedical data analysis) Marco Ratta (Genomic statistics) Luca Rondano (Bayesian methods) Vittorio Zampinetti (Tumor DNA sequencing) Fulvio Di Stefano (Evidence-based decision statistical methods) He leads research projects in pharmaceutical statistics, genomic surveillance, and spatial risk assessment frameworks, with recent emphasis on SARS-CoV-2 analysis and cancer progression modeling.

Turid Birgitte Boyeمشاهده پروفایل

عضو هیئت علمی

• Mental Health in Somatic Illness
• Psychosocial Aspects of Somatic Illness
• Neuropsychiatry
• +۵ مورد دیگر

Turid Birgitte Boye is a Professor II at the Department of Behavioral Medicine, University of Oslo, specializing in the psychosomatic and neuropsychiatric aspects of somatic illnesses . Her research bridges mental health with physical conditions, focusing on disorders like bipolar disorder, schizophrenia, and inflammatory bowel disease . As a psychiatrist and clinical researcher, she integrates neuroimmunology, brain imaging, and psychosocial factors into her work.

Pål Ullebergمشاهده پروفایل

استاد

• Quantitative Research Methods
• Safety Psychology
• Accident Prevention
• +۶ مورد دیگر

Pål Ulleberg is a Professor at the Department of Psychology, University of Oslo, specializing in quantitative research methods and safety psychology. His academic appointment focuses on methodological approaches within psychology, particularly in the areas of transport safety and organizational behavior. As a principal investigator at the Department of Psychology and a member of the National Research Ethics Committee for Social Sciences and Humanities (NESH), he plays a significant role in shaping research standards and ethics in Norwegian academia. Professor Ulleberg's research interests primarily center on quantitative research methods, with emphasis on multivariate methods, structural equation modeling, and meta-analyses. Within safety psychology, his work focuses on accident prevention, particularly in transport and industry settings. His research applies models and theories from social psychology, personality psychology, and cognitive psychology to safety-relevant behaviors, aiming to understand, explain, and ultimately influence behavior to prevent accidents. His work spans organizational psychology, work psychology, and methodological innovations in psychological research. His recent publications reveal a strong focus on transportation psychology, particularly regarding autonomous vehicles and public acceptance of new transport technologies. His work also extends to mental health interventions, peer review processes, and organizational behavior. The breadth of his research demonstrates consistent application of rigorous quantitative methods across diverse psychological domains, from traffic safety to clinical interventions and organizational effectiveness. Professor Ulleberg received the Teaching Award at the Department of Psychology, University of Oslo, in 2008, recognizing his excellence in education. His commitment to teaching is evident through his instruction of advanced quantitative methods courses including PSYC2104 – Quantitative Methods A and PSY4020 – Applied quantitative research methods. Professor Ulleberg earned his doctorate in psychology from the Norwegian University of Science and Technology (NTNU) in 2002. Before joining the University of Oslo as an associate professor in 2007 (later promoted to Professor), he worked in psychiatric health services research, accident prevention, and served as an associate professor of psychometrics at NTNU. His current research projects include CAST (Campaign and awareness-raising strategies in traffic), CyWalk (Internet survey about the means of transport of the future), and research on The use of Expert Reports as evidence in Child Protection Decision-Making.

• Statistics
• Meteorology
• Econometrics
• +۴ مورد دیگر

Dr. Annette Christine Möller is a Professor at Bielefeld University's Faculty of Economics, where she leads the Chair of Data Science and is affiliated with the Department of Empirical Methods. She serves as a key researcher at the Bielefeld Center for Data Science (BiCDaS). Her contact information includes email (annette.moeller@uni-bielefeld.de) and phone (+49 521 106-4877). Her research focuses on: Developing statistical methods for weather forecast post-processing Copula-based modeling of multivariate dependencies Ensemble forecasting for climate risk mitigation Applications in renewable energy prediction Statistical computing and open-source tool development Her publication record (2019-2025) demonstrates strong emphasis on: Probabilistic weather forecasting techniques Vine copula applications in meteorology Statistical calibration of ensemble models Interdisciplinary work spanning climatology, epidemiology and education She leads significant research grants including: DFG project: 'Statistical post-processing of ensemble forecasts' (2018-2024) DFG project: 'Mitigating climate risks via copula-based forecast improvement' (2024-2026) She collaborates with the Technical University of Munich and maintains active research teams focused on statistical meteorology and climate informatics.

Katrine Lawaetz Kristensenمشاهده پروفایل

استادیار

• Cardiovascular Epidemiology
• Abdominal Aortic Aneurysm
• Diabetes
• +۴ مورد دیگر

Katrine Lawaetz Kristensen serves as an Assistant Professor at the Institute for Health Services Research, University of Southern Denmark, specializing in the Epidemiology, Biostatistics and Biodemography (EBB) department within the Faculty of Health Sciences. Her research primarily focuses on cardiovascular diseases with particular emphasis on abdominal aortic aneurysm, diabetes, and related vascular conditions. Dr. Kristensen's research interests span cardiovascular epidemiology, with special expertise in abdominal aortic aneurysm, diabetes complications, and vascular diseases. Her methodological strengths include cohort analysis, systematic reviews, and meta-analyses, with significant contributions to understanding the epidemiology of cardiovascular conditions through population-based studies and screening programs. Her fingerprint analysis shows strong focus areas including Abdominal Aortic Aneurysm (100%), Diabetes (39%), Cohort Analysis (34%), Odds Ratio (28%), Meta-Analysis (25% in Nursing and Health Professions), Case-Control Study (25%), Meta-Analysis (24% in Medicine and Dentistry), and Systematic Review (22%). Her publication record demonstrates consistent high-impact research output, with notable recent publications in the Journal of the American Heart Association, Journal of the American College of Cardiology, European Journal of Cardiovascular Nursing, and BMC Cardiovascular Disorders. Her work frequently employs population-based approaches, systematic reviews, and meta-analyses to address important questions in cardiovascular epidemiology and clinical practice. Dr. Kristensen has established collaborative research networks both nationally and internationally, as evidenced by her multi-center studies and co-authorships with researchers across different institutions. Her research has practical implications for screening programs, risk assessment, and clinical management of cardiovascular conditions.

İlkay Doğanمشاهده پروفایل

دانشیار

• Biostatistics
• Medical Informatics
• Structural Equation Modeling
• +۳ مورد دیگر

Associate Professor İlkay Doğan is affiliated with Gaziantep University, Faculty of Medicine as an Associate Professor in the Department of Basic Medical Sciences . His academic journey includes a PhD in Biostatistics from Eskişehir Osmangazi University (2015), an MSc in Statistics from Afyon Kocatepe University (2012), and a Licence in Mathematics from Balıkesir University (2010). Current Position: Associate Professor, Gaziantep University Academic Rank: Associate Professor Research Interests span biostatistical methodology, medical informatics, structural equation modeling, and sports analytics. He investigates: Statistical models in clinical research Artificial intelligence applications in healthcare Game statistics in professional sports Public health data analysis Bioinformatics in disease diagnosis Sports science and athlete performance Recent Article Trends reflect his expertise in medical AI literacy, structural modeling comparisons, and sports/health data analysis. His work appears in journals like Journal of Medical Screening and European Journal of Therapeutics . Scientific Awards include a TÜBİTAK Domestic Doctoral Scholarship (2015) . He has contributed to 16 funded projects and served as editor for European Journal of Therapeutics .