جست‌وجوی استاد و پژوهشگر

• Biosignal Processing
• Cardiac Electrophysiology
• Heart Rate Variability Analysis
• +۴ مورد دیگر

Prof. Dr. Georg Schmidt is a Professor of Biosignal Processing at the TUM School of Medicine and Health (Technical University of Munich). His research focuses on non-invasive cardiac risk assessment using electrocardiography (ECG) and heart rate variability (HRV) analysis, with emphasis on mortality prediction, arrhythmia detection, and telemedicine integration. He leads major studies like the EU-CERT-ICD cohort and the German National Cohort (NAKO), exploring topics such as ICD efficacy, gestational diabetes impacts, and data protection standards in healthcare. Key affiliations: TUM School of Medicine and Health, Department of Biosignal Processing Leadership roles: Humboldt/Heisenberg Professorship eligibility (per faculty listings) Research interests include: Cardiac autonomic function and arrhythmia risk ECG-based biomarkers for mortality prediction Interoperability of medical devices in smart hospitals Ethical frameworks for secondary use of health data Publications highlight contributions to ICD therapy optimization, fetal cardiac monitoring, and telemedicine in post-COVID scenarios. His work bridges clinical cardiology with engineering innovations in biosignal analysis. Awards: Not explicitly mentioned in provided texts. Advising/Grants: No listed students, but leads large collaborative research projects. Grants likely tied to EU-CERT-ICD and NAKO initiatives. Labs/Teams: Involved in TUM's biosignal processing and telemedicine integration teams.

Thomas Schillingمشاهده پروفایل

پژوهشگر

• Experimental Social Psychology
• Economic Psychology
• Personality Psychology
• +۴ مورد دیگر

Thomas Schilling is a Postdoctoral Researcher at the Department of Psychology, University of Trier, affiliated with the Psychological Research Methods team. He holds a PhD in Economics from Victoria University of Wellington (2022) and has professional experience in banking, auditing, and behavioral science consulting. His work bridges experimental social psychology and economics, focusing on financial decision-making influenced by personality variables and situational contexts. Academic Career: Postdoctoral researcher (Trier University, 2022–present); PhD in Economics (Victoria University, 2018–2022); MBA (Trier University with study abroad at University of Nebraska Omaha, 2013–2015); BBA (University of Applied Sciences Trier with study abroad at Midwestern State University, 2009–2012). Research Interests: Financial decision-making (savings, investments, consumer behavior), personality predictors (HEXACO+D model), judgment heuristics, digital nudging, and person-situation interactions. Specializes in experimental methods involving online data collection and multivariate analysis (R). Teaching: Leads courses like 'Empirical Internship' and 'Scientific Project Work' in English. Supervises theses requiring experimental design, personality variable inclusion, and potential for peer-reviewed publication. Professional Work: Freelance behavioral scientist advising on financial decision-making strategies. Former roles include Behavioral Scientist at Behavioral by Design (New Zealand) and roles at Advanzia Bank, UBS, and KPMG.

Henrik Walterمشاهده پروفایل

استاد

• Psychiatry
• Neuroscience
• Psychology
• +۸ مورد دیگر

Henrik Walter is a Full Professor (W3) of Psychiatry with a focus on Psychiatric Neuroscience and Neurophilosophy at Charité – Universitätsmedizin Berlin. He serves as Director of the Mind and Brain Research Division and Deputy Medical Director (Research) at the Department of Psychiatry and Psychotherapy, Charité Campus Mitte. Walter is also a faculty member at the Berlin School of Mind and Brain , a faculty member of the Bernstein Computational Center Berlin , and a principal investigator at the Berlin Center for Advanced Neuroimaging . Clinical expertise: Schizophrenia and affective disorders Empirical research: Working memory, volition, reward mechanisms, emotion regulation, mentalization, imaging genetics, connectomics Philosophical research: Philosophy of mind, neurophilosophy, neuroethics, philosophy of psychiatry Research trends in his 15 most recent publications (2009-2024) emphasize connectome-based machine learning , dynamic network reconfiguration , self-control mechanisms , and predictive models for psychiatric relapse . His work explores the intersection of neural network organization , emotional processing , and philosophical frameworks in mental health. Walter oversees major projects including environMENTAL (data harmonization in large cohorts) and FOR5187 PREACT (personalized psychotherapy). His team actively trains students and researchers through internships, theses supervision, and doctoral programs.

• Telemedicine
• Clinical Informatics
• Chronic Disease Management
• +۳ مورد دیگر

Prof. Dr. med. Henning Schneider serves as a Professor at the Technical University of Central Hesse (THM), School of Health, with his office located at Ostanlage 45, Building B14, Room 2.07. His research spans telemedicine systems for chronic disease management, rare disease monitoring, and clinical informatics, with significant publications in emergency medicine technology and respiratory care. His primary research interests include: Telemedicine implementation for COPD and rare diseases Clinical data interoperability and EHR optimization Digital health solutions for pre-hospital emergency care Predictive modeling in chronic disease management IT-supported clinical trial recruitment systems Analysis of his 15 most recent publications (2015-2024) reveals consistent focus on telemonitoring technologies for respiratory diseases, evolving into rare disease awareness systems (RD-MON) and drone-based emergency response tools. His work emphasizes practical clinical integration, with methodologies centered on semantic interoperability (LOINC/FHIR), user acceptance studies, and health economic evaluations. Regarding academic mentorship, no doctoral students or formal advisees are documented in the provided materials. His collaborative research involves institutions across Germany, with frequent co-authorship with Sohrabi, Blasini, and Marquardt, though specific grant details remain unreported. Current projects appear centered on VR tolerability assessment and IT-enhanced trial recruitment, reflecting ongoing engagement with emerging health technologies.

Petra Steinمشاهده پروفایل

استاد

• Empirical Social Research
• Statistical Methods in Social Sciences
• Social Mobility
• +۳ مورد دیگر

Prof. Dr. Petra Stein serves as a University Professor at the Institute of Sociology, University of Duisburg-Essen, holding a C4 Professorship in Empirical Social Research. She concurrently holds a leadership position as Board of Directors member at the Institute for Development and Peace (INEF). Her academic credentials include: Diploma in Social and Economic Sciences, University of Wuppertal (1992) Doctorate, Gerhard Mercator University Duisburg (1997) Habilitation, University of Duisburg-Essen (2003) Professor Stein's research centers on advanced statistical methodologies within social sciences. She specializes in modeling complex social processes, analyzing social mobility effects, and lifestyle research through sophisticated techniques including mixed distribution models and mean/covariance structure analysis. Her methodological expertise spans multivariate statistics, longitudinal data analysis, and latent variable modeling, with significant contributions to classification methods in empirical sociology. Her scientific recognition includes: University Society Prize for the best doctorate (1998) She directs a comprehensive research operation comprising: Core research staff: Eva Depenbrock, Christoph Frohn, Monika Obersneider, Anthony Daykin, Sebastian Willen Research assistant: Alexander Klingenberg Administrative support: Marion Hannemann (Secretariat)

• EEG analysis
• Eye-tracking
• Computational neuroscience
• +۴ مورد دیگر

Benedikt Ehinger is a computational neuroscientist at the University of Stuttgart, leading an Emmy Noether research group on "EEG in motion" funded by DFG. He specializes in integrating EEG with eye-tracking, developing statistical methods for neuroimaging and creating open-source tools. DDFG Emmy Noether grant recipient (2019) Director of Computational Cognitive Science lab Co-developer of open-source tools: Unfold toolbox, ClusterDepth algorithm His research focuses on three main areas: 1. Methodological foundations of EEG/MEG analysis, particularly cluster-based statistics and deconvolution methods; 2. Eye-tracking methodology and visualization techniques; 3. Statistical modeling of human perception using linear mixed models and Bayesian approaches. Key trends in his recent publications include: Advancing EEG methodology with linear deconvolution and cluster permutation tests Developing open-source neuroscience tools in Julia/MATLAB Investigating perceptual inference and reliability estimation Creating art-science interfaces through "thesis art" projects Scientific contributions: Emmy Noether research group leadership Over 10 thesis supervisions (Master's/Bachelor's) Co-development of multiple open-source toolboxes Methodological innovations in ERP analysis and statistical testing As an educator, he creates interactive tutorials on statistical concepts and provides thesis art for each supervised student. His lab maintains strong software engineering practices with GitHub-hosted code repositories.

• Brain-behavior relations across the lifespan
• Multivariate developmental methodology
• Formal models of behavioral change
• +۶ مورد دیگر

Andreas Brandmaier is a Full Professor of Research Methods at the Medical School Berlin since 2021. He also serves as a Senior Research Scientist at the Center for Lifespan Psychology at the Max Planck Institute for Human Development in Berlin. Previously, he earned a Dipl.-Inform. Univ. in 2008 from Technische Universität München and a Dr. rer. nat. in 2011 from Universität des Saarlandes.

Christian Aßmannمشاهده پروفایل

استاد

• Bayesian estimation methods
• Statistical modeling with missing data
• Longitudinal data analysis
• +۳ مورد دیگر

Prof. Dr. Christian Aßmann holds the Chair of Survey Statistics and Data Analysis at the Otto-Friedrich University of Bamberg (since 2020) and serves as Head of Department 3 Research Data Center and Method Development at the Leibniz Institute for Educational Trajectories . His work bridges statistical methodology with educational and public health research. Education: PhD in Economics (2009, Kiel University) Key Affiliations: Otto-Friedrich University of Bamberg, Leibniz Institute for Educational Trajectories, DFG Priority Programme SP2431/SP1646 Research focuses on Bayesian estimation techniques for handling missing data in longitudinal studies, particularly in educational assessment and human growth analysis. His methodological innovations include factor analysis , multiple imputation , and network-based modeling . He contributes to survey methodology for large-scale educational panels and public health statistics through anthropometric studies. Scientific contributions span Bayesian econometrics , educational transition analysis , and community-based health research . His 2024-2025 work addresses automated statistical data editing and corona effects on educational outcomes . Collaborative projects with institutions like DFG and Springer highlight his interdisciplinary impact. Awards: Involved in Springer BestMasters 2014 thesis evaluation Committee Roles: Expert committee for Good KiTa Act monitoring (2019-2024) Students explore topics like Bayesian deep learning , economic forecasting , and missing data techniques . His methodological workshops cover data editing , factor rotation , and panel nonresponse , reflecting his commitment to training future researchers.

Rita Oliwia Grabowskaمشاهده پروفایل

پژوهشگر

• Environmental Immunology
• Toxicology
• Reproductive Biology
• +۳ مورد دیگر

Dr. Rita Oliwia Grabowska is a Scientist at the Department of Environmental Immunology , Helmholtz Centre for Environmental Research – UFZ, Leipzig, since 2024. Previously, she held academic positions at Leipzig University (2022-2024), University of Central Lancashire (2018-2022), and University of Oxford (2013-2015). She earned her PhD in Molecular Biology at Jagiellonian University (2008-2012) with a thesis on gonadotropin receptors in PCOS women. Education : PhD (Jagiellonian University), Postgraduate Molecular Biology (Jagiellonian University), Master's in Reproductive Biology (University of Agriculture, Szczecin). Her research investigates environmental immunology and endocrine disruptors , focusing on EDC impacts on reproductive health and hematopoietic stem cells . She employs ATR-FTIR spectroscopy for molecular diagnostics and contributes to EU projects like ENDOMIX (2024-present) and LE-REP . Recent work examines mixed effects of BPA and benzophenone-3 on fetal development, PFAS immunotoxicity , and EDC-exposed placental models . Scientific Trends span environmental-epigenetic interactions , multi-omics integration , and chemical mixture risk assessment . Collaborative publications address immune-trophoblast dynamics and childhood asthma-chemical exposure links. Her contributions include 20+ peer-reviewed articles in journals like Stem Cells , Environmental International , and Journal of Reproductive Immunology , with methodological innovations in high-throughput immunophenotyping and multi-endpoint chemical screening .

Patrick Kaminskiمشاهده پروفایل

پژوهشگر

• Sociology
• Social Network Analysis
• Complex Systems
• +۵ مورد دیگر

Patrick Kaminski is a researcher at the University of Stuttgart in the Department of Computational Social Science . He specializes in sociological research using quantitative methods and social network analysis to study complex systems. His research interests include: Public health dynamics of the opioid epidemic Adaptive strategies for pandemic response Climate change adaptation in agricultural systems Computational sociology using large language models Patent network analysis Recent publications highlight his work on: Social network analysis for healthcare outcomes Formation of cultural myths through network dynamics Network-based interventions for opioid treatment access Intersectional identity analysis using machine learning Comparative studies of professional communities He teaches Multivariate Data Analysis with R in both summer and winter semesters.

• Neurology
• Neuroimaging
• Stroke
• +۴ مورد دیگر

Marvin Petersen is a researcher at the Clinic and Polyclinic for Neurology at the University Medical Center Hamburg-Eppendorf , with an ORCID of 0000-0001-6426-7167. His work spans neurology, neuroimaging, and clinical research, focusing on cerebral small vessel disease, white matter hyperintensities, stroke, and cognitive impairment. Key research areas: Neurovascular interactions, brain aging, population neuroimaging, AI applications in medical diagnostics Major collaborations: Hamburg City Health Study, Alzheimer’s Disease Neuroimaging Initiative Publication Trends : Petersen’s 15 most recent articles (2025-2024) analyze structural brain changes using advanced neuroimaging techniques. His work identifies biomarkers for vascular cognitive impairment, explores periodontal-brain links, and develops AI models for paranasal anomaly classification. A recurring theme involves normative white matter hyperintensity mapping across large cohorts. Technical Expertise : Combines machine learning with multimodal MRI analysis (diffusion, functional connectivity) to study brain-organ interactions in aging and disease. His methodology bridges computational neuroscience with clinical epidemiology in major population studies.

Daniel Heckمشاهده پروفایل

استاد

• Statistical Modeling
• Psychometrics
• Cognitive Modeling
• +۴ مورد دیگر

Daniel Heck is a Professor of Psychological Methods at Philipps-Universität Marburg. His work bridges statistical modeling , psychometric theory , and cognitive modeling in psychology, with a focus on uncertainty quantification, judgment aggregation, and reproducibility in experimental research. He actively collaborates on Bayesian statistics and network modeling projects. He mentors PhD students in computational psychology , including Semih Aktepe , Björn Siepe , and Matze Kloft . His team develops tools like RRreg , an R package for anonymized survey data analysis. Recent research trends include: Critiques of paper mills and reproducibility crises Interventions for intellectual humility in polarized contexts Methodological innovations in dynamic network analysis and simulation studies Applications of large language models to formalize psychological theories He advocates for open science and transparency in research workflows, contributing to debates about AI's role in peer review and ethics in computational methods .

• Biostatistics
• Medical Biometrics
• Epidemiology
• +۳ مورد دیگر

Prof. Dr. rer. nat. Annika Hoyer is a leading Professor in Biostatistics and Medical Biometrics at the Medical Faculty OWL of the University of Bielefeld. She serves as a member of multiple critical committees including the Faculty Conference, Doctoral Committee, and Research Commission, and contributes to the Center for Statistics . Her work integrates advanced statistical methodologies with public health applications. Academic affiliation: University of Bielefeld Primary role: Professor for Biostatistics and Medical Biometrics Committee memberships: Faculty Conference, Habilitation Committee (Deputy), Doctoral Committee, APL Committee (Deputy), Research Commission Research Interests focus on: Methodological developments in meta-analysis and ROC curve modeling Diabetes epidemiology with emphasis on incidence trends, mortality projections, and socioeconomic factors Chronic disease modeling using illness-death models and copula-based approaches Clinical trial statistics and medical data synthesis Public health surveillance for early-onset cancer and long-term care demand Publications highlight methodological innovations in time-to-event analysis , diagnostic accuracy studies , and diabetes burden estimation . Her collaborative work spans neurosurgery , rheumatology , and pediatric emergency care . Key Projects include ongoing methodological-epidemiological research on type 2 diabetes dynamics (funded by private third-party support until 2025) and statistical models for chronic disease surveillance in low-resource settings.

• Lifespan Developmental Psychology
• Cognitive Neuroscience
• Memory and Cognitive Control
• +۳ مورد دیگر

Markus Werkle-Bergner is a Senior Research Scientist at the Max Planck Institute for Human Development's Center for Lifespan Psychology in Berlin. Holding a Habilitation from Ruhr-Universität Bochum (2019) and a PhD in Psychology (Humboldt-Universität zu Berlin, 2009), his work bridges lifespan developmental neuroscience and memory mechanisms . He leads research on age-related changes in neural oscillations , neuromodulatory systems , and memory consolidation , particularly focusing on EEG correlates and multivariate statistical models of cognitive change. His research has been recognized through the Jacobs Foundation Research Fellowship (2017-2019) and extensive publications in top journals like Nature Human Behaviour and Neuron . He supervises students including Eva S. Buchberger (PhD, 2023) and Chikezie M. (Master's, 2024) at Freie Universität Berlin. Current projects like Lifespan Rhythms of Memory and Cognition (RHYME) explore how sleep spindle-oscillation coupling and neuromodulatory integrity affect memory across ages. Key publications reveal that rostral locus coeruleus integrity predicts memory performance in older adults (Nature Human Behaviour, 2019), and that pre-stimulus alpha-lateralization declines in aging (NeuroImage, 2019). His methodological innovations include single-trial neural rhythm characterization and power estimation for developmental SEM models . Awards and editorial roles in Neuroscience & Biobehavioral Reviews emphasize his leadership in cognitive aging and developmental neuroscience .

• 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.