جست‌وجوی استاد و پژوهشگر

• Addiction Medicine
• Alcohol Use Disorders
• Mental Health Care
• +۵ مورد دیگر

Bernd Schulte is a researcher at the Department of Psychiatry and Psychotherapy at the University Medical Center Hamburg-Eppendorf, Faculty of Medicine. His work focuses primarily on addiction medicine, mental health care, and public health approaches to substance use disorders, particularly alcohol-related conditions. Dr. Schulte's research interests span across multiple domains including alcohol use disorders, collaborative care models for mental health, public health policy related to substance use, and the epidemiology of addiction. His work often involves analyzing healthcare systems and developing interventions for improving treatment access and outcomes for individuals with substance use disorders. He has conducted extensive research on alcohol consumption patterns, particularly during the COVID-19 pandemic, and has examined healthcare utilization patterns among individuals with alcohol use disorders. His publication record demonstrates a strong focus on collaborative care models, particularly the COMET study which examines stepped care approaches for mental disorders in primary care settings. Much of his recent work involves data linkage studies to examine patient trajectories and care pathways for individuals with alcohol dependence, often using German routine healthcare data. His research has increasingly addressed the intersection of mental health and substance use disorders, particularly heavy drinking and depression. Dr. Schulte has been actively involved in international collaborations, particularly with Latin American countries on scaling up primary healthcare-based prevention and management of heavy drinking and comorbid depression. His work also extends to policy research, including systematic reviews of alcohol marketing restrictions and their impact on consumption.

• Psychosomatic Medicine
• Persistent Somatic Symptoms
• Eating Disorders
• +۲ مورد دیگر

Dr. Angelika Weigel is a researcher at the Clinic and Polyclinic for Psychosomatic Medicine and Psychotherapy at the University Medical Center Hamburg-Eppendorf (UKE). She holds a Diploma in Psychology (Dipl.-Psych.) and a Doctorate in Human Biology (Dr. rer. biol. hum.), with her research focusing on psychosomatic mechanisms, persistent somatic symptoms, and evidence-based interventions for complex health conditions. Her primary research explores: Etiology and management of persistent physical symptoms Eating disorders (anorexia nervosa, bulimia) Integrated care models for mental disorders Patient experiences in multidisciplinary healthcare COVID-19 impacts on somatic symptom burden She contributes to European collaborations like EURONET-SOMA and leads innovative projects including the HERMES trial on explanatory models for somatic symptoms. Dr. Weigel's publications demonstrate strong methodological diversity, including: Randomized controlled trials (COMET, HERMES) Multicenter cohort studies Mixed-methods approaches Cross-cultural comparisons Scoping reviews of European healthcare systems Her work consistently addresses gaps in psychosomatic care across medical specialties. Awards & Recognition: Travel Grant from University of Hamburg for EAPM Conference (2016) She collaborates extensively within international networks and contributes to large-scale projects like SOMA.COV investigating Long COVID mechanisms. Her team-based approach involves multidisciplinary partnerships across psychiatry, dermatology, gastroenterology, and public health.

Antonia Zapfمشاهده پروفایل

استاد

• Statistical Methods for Diagnostic Studies
• Sample Size Calculation
• Meta-analysis
• +۲ مورد دیگر

Prof. Dr. Antonia Zapf is a Professor at the Department of Medical Biometry and Epidemiology within the School of Medicine at the University of Hamburg. Her research focuses on advanced statistical methodologies for diagnostic studies, sample size calculation, and meta-analyses in clinical and epidemiological contexts. Her primary research interests include Statistical Methods for Diagnostic Studies , Sample Size Calculation , and Meta-analysis . She has developed innovative approaches for handling missing data in diagnostic accuracy studies, created seamless designs for diagnostic test evaluation, and contributed to frameworks for diagnostic development during infectious disease outbreaks. Her work bridges biostatistics with practical clinical applications across cardiology, oncology, mental health, and rare diseases. Prof. Zapf leads multiple major research projects including EpiAdaptDiag (adaptive designs for diagnostic studies), ClusterDiag (evaluation of diagnostic tests with clustered data), and FlexDiag (flexible designs for diagnostic studies). Her publications demonstrate consistent contributions to methodological advancements in clinical epidemiology and biostatistics. Her research collaborations span multiple clinical domains with significant work in cardiovascular research (EAST-AFNET 4, NOAH-AFNET 6), mental health (COMET Study, i2TransHealth), and rare diseases (CARE-FAM-NET). She serves as principal investigator for numerous DFG-funded projects and international clinical trials.

• Geriatrics
• Palliative Care
• Primary Care Medicine
• +۳ مورد دیگر

Tina Mallon is a researcher at the Institute and Polyclinic for General Medicine at University Medical Center Hamburg-Eppendorf. Her work focuses on geriatric care, palliative medicine, and primary care interventions for elderly populations, particularly the oldest-old with cognitive disorders, dementia, and complex health needs. She is actively involved in several major longitudinal studies including the AgeCoDe and AgeQualiDe projects, as well as clinical trials like KOPAL and interprof ACT. Dr. Mallon's research spans several key areas in geriatric and primary care medicine. Her primary focus is on understanding and improving care for the oldest-old population (typically aged 80+), with particular attention to those with cognitive disorders, dementia, and complex multimorbidity. She investigates how social support networks impact health outcomes, quality of life, and functional status in elderly populations. Her work also examines pain management strategies, depression screening and treatment effectiveness, and the development of specialized care models for patients with advanced non-oncological diseases. A significant portion of her research involves interdisciplinary collaboration, particularly between general practitioners and specialist palliative care services. Analysis of Dr. Mallon's recent publication record reveals consistent focus on improving care systems for vulnerable elderly populations. Her work demonstrates strong methodological rigor, frequently employing randomized controlled trial designs, longitudinal cohort analyses, and health economic evaluations. The KOPAL trial series represents a major contribution to non-cancer palliative care research, while her involvement in the AgeCoDe and AgeQualiDe studies has produced valuable insights into aging, cognitive decline, and mental health in the oldest-old. Her research often examines the intersection of mental health, social factors, and physical health outcomes in elderly patients. Dr. Mallon has been involved in numerous significant research projects including the KOPAL trial (evaluating palliative care interventions), interprof ACT (reducing hospital admissions in nursing homes), GET.FEEDBACK.GP (depression screening in primary care), and the AgeCoDe/AgeQualiDe studies (longitudinal research on aging and cognitive disorders). These projects represent substantial research investments focused on improving care for elderly and vulnerable populations through evidence-based interventions and system improvements. While specific laboratory information isn't detailed in the provided materials, Dr. Mallon appears to be part of collaborative research teams focused on geriatric care, palliative medicine, and primary care innovation. Her involvement in multi-center studies suggests participation in a larger research network studying aging and cognitive disorders across Germany, with particular focus on translating research findings into practical clinical applications in primary care settings.

Andreas Straubeمشاهده پروفایل

استاد

• Clinical Neuroscience
• Sensorimotor Research
• Functional Imaging
• +۲ مورد دیگر

Prof. Dr. Andreas Straube is a Senior Consultant at the Neurological Clinic and Polyclinic with Friedrich Baur Institute at Ludwig Maximilian University of Munich. As a full member of the Munich Cluster for Neuroscience (MCN) and German Society of Neuroscience (GSN), he leads research in oculomotor function, pain inhibition mechanisms, and neurological disease diagnostics. Research Focus: Sensorimotor integration, clinical neuroscience, and functional imaging. Techniques: 3-D video oculography, search coil measurements, dual-photon microscopy, and spinal nociceptive reflex analysis. Research Trends: Recent publications highlight his work on autoimmune encephalitis-related headaches, cerebellar lesion effects on eye movements, non-invasive neuromodulation for cluster headaches, and spinal-supraspinal pain interactions. His studies bridge computational modeling with clinical applications in sensorimotor disorders.

• Probability Theory
• Stochastic Processes
• Mathematical Physics
• +۳ مورد دیگر

Lisa Hartung is a Full Professor (W3) at Johannes Gutenberg University Mainz's Department of Mathematics since 2025, leading research in stochastic processes. She previously held Associate (2019-2025) and Assistant Professor (2019) positions at the same institution and served as a Courant Instructor at NYU's Courant Institute (2016-2018). Her educational background includes a PhD from Bonn University (2016) under Prof. Anton Bovier in Probability Theory. Key research interests span branching Brownian motion , Gaussian free fields , random energy models , and stochastic processes on evolving networks , with applications in statistical mechanics and mathematical physics. Her work frequently addresses extremal processes, phase transitions, and complex temperature phenomena. Analysis of her recent publications reveals dominant trends in log-correlated random fields, variable-speed branching processes, and hard-wall boundary conditions. Articles consistently explore asymptotic behavior, maximum processes, and structural properties of stochastic systems, with increasing interdisciplinary connections to computer science through data stream modeling. Scientific recognition includes: Förderpreis der Fachgruppe Stochastik (2018) Hartung secures substantial research funding as PI for multiple high-impact projects: the ANR-DFG grant Random Energy Models (2020), DFG's SPP 2265 Random Geometric Systems (2020), TRR146 Multiscale Simulation Methods (2020), and Carl-Zeiss project TOPML (2022). She also serves on the executive board of DMV Fachgruppe Stochastik (since 2023) and coordinates Jugend trainiert Mathematik for grades 8/9. Her research group participates in the DFG-funded network Stochastic Processes on Evolving Networks and collaborates internationally through workshops on interacting particle systems and stochastic population models.

• Latent Variable Models
• Dynamic Latent Variable Models
• Latent Class Methods
• +۸ مورد دیگر

Augustin Kelava is a Professor at the Department of Quantitative Methods, Eberhard Karls University of Tübingen. He has held this position since 2018 and leads the Methods Center as Managing Director. Previously, he was Professor at the Hector Institute for Empirical Educational Research (2013-2018) and Junior Professor at Technical University of Darmstadt (2011-2013). PhD in Psychology (Goethe University Frankfurt, 2009) Diploma in Psychology (Goethe University Frankfurt, 2004) Kelava specializes in latent variable modeling, machine learning in social sciences, and educational research. His work spans dynamic latent class models, Bayesian regularization techniques, and prediction of human behavior using intensive longitudinal data. He contributes to psychometric theory (e.g., item response theory extensions) and applies these methods to diverse fields including sports science and emotion regulation. Editor of "Testtheorie und Fragebogenkonstruktion" (3rd ed., Springer, 2020) Key researcher in the Cluster of Excellence "Machine Learning in Science" Active in methodological conferences (FGME 2017, SEM 2019) Review activities for 20+ journals and foundations including Psychometrika, DFG, and SNSF His recent publications focus on integrating machine learning with psychometrics, addressing identifiability in complex models, and evaluating personality assessment validity for large language models. He collaborates with researchers across psychology, education, and computational fields.

• Educational Psychology
• Learning Environments
• Performance Development
• +۳ مورد دیگر

Wolfgang Wagner is a Researcher at the Hector Institute for Empirical Educational Research , University of Tübingen. His work focuses on educational psychology , particularly the impact of learning environments on student performance and methodological advancements in multilevel structural equation modeling . Research Areas: Educational Assessment, Teaching Quality Evaluation, Student Engagement Analysis, Classroom Climate Modeling Methodological Expertise: Structural Equation Modeling, Multilevel Analysis, Survey Design Key Publications (2020–2023) analyze: Gender disparities in STEM education Acquiescence bias in student ratings Machine learning applications for engagement tracking Curricular reforms' impact on grading Health competence interventions in physical education Collaborations span institutions like: University of Koblenz-Landau National Educational Panel Study (NEPS) Institute for Qualitätsentwicklung an Schulen Schleswig-Holstein (IQSH) Contact: wolfgang.wagner@uni-tuebingen.de

Jan-Bennet Voltmerمشاهده پروفایل

مدرس

• Computer-Supported Collaborative Learning (CSCL)
• Diversity in Education
• Distance Learning
• +۳ مورد دیگر

Jan-Bennet Voltmer is a Lecturer in Social Psychology at the Distance University's Faculty of Psychology. His academic career includes a Dr. phil. in Business Psychology from Leuphana University (2020), M.Sc. in Psychology from TU Braunschweig (2013), and B.Sc. in Business Psychology from Leuphana (2011). Research focuses on computer-supported collaborative learning (CSCL) , student diversity effects , and gendered mental labor . Notable projects include the DivAdapt study analyzing diversity in CSCL groups and a systematic review on unpaid cognitive labor disparities. He teaches empirical research methods (R workshops) and coordinates the M6b internship program. Recent work explores social identity threat in online learning environments, the role of communication tools in group cohesion, and the cognitive dimensions of household labor division. His articles consistently address intersectional diversity impacts and methodological innovations like topic modeling for educational data analysis. Award-winning TRUST teaching intervention (2024) demonstrates his commitment to intrinsic motivation in medical education. Presentations span interdisciplinary venues including FGSP conferences and CATALPA research clusters.

Kadri Reisمشاهده پروفایل

پژوهشگر

• Biosecurity
• Bioweapons
• Dual-Use Technologies
• +۷ مورد دیگر

Dr. Kadri Reis is a Researcher at the Peace Research Institute Frankfurt (PRIF), within the Research Department of International Security and the Research Group on Biological and Chemical Disarmament and Security. Her work bridges molecular biology and global security policy, focusing on biosecurity, dual-use technologies, and the governance of emerging biotechnologies. She holds a PhD in Biomedicine from Pompeu Fabra University (2011–2016), an MSc in Molecular Bioengineering from TU Dresden (2007–2009), and a BA in Genetics from the University of Tartu, Estonia (2003–2007). Her research interests include biosecurity, bioweapons, dual-use risks in genetic engineering, AI applications in biological risk assessment, and the policy implications of technological advancements in biotechnology. She actively contributes to the Cluster for Natural and Technical Science Arms Control Research (CNTR), producing policy-relevant analyses on topics such as oncolytic virus engineering and DNA synthesis screening. Her recent publications span both technical genomics and security policy, revealing a dual trajectory: one in human genetics using large biobanks and GWAS, and another in science for nuclear and biological diplomacy. Themes across her work include ethical governance, risk mitigation, and the intersection of life sciences with international security. Dual-Use Risks of Oncolytic Virus Engineering (2024) Technological Implications of AI in Biorisk (2024) Implications of Technological Advancements for Biosecurity (2024) Dr. Reis has been actively publishing in 2023 and 2024, with no mention of grants, students, or awards in the provided text. She is involved in interdisciplinary collaborations, particularly through the CNTR project, which connects scientific research with arms control policy. Her role emphasizes science-based policy development in the domain of biological threats.

• Computational Engineering
• Model-Based Development
• Production Engineering
• +۳ مورد دیگر

Julia Kowalski serves as Professor and Chair of the Department of Methods of Model-Based Development in Computational Engineering at RWTH Aachen University's Faculty of Mechanical Engineering. She holds dual appointments on the Steering Committees for the university's Profile Areas in Production Engineering (ProdE) and Modeling & Simulation Sciences, operating from the Collective Building of Mechanical Engineering in Aachen, Germany. Her research integrates computational engineering with geohazard prediction and cryorobotics, developing advanced numerical methods for multiphysics problems including ice-penetration probes, landslide susceptibility mapping, and wind-energy systems. She pioneers machine learning applications that bridge physical models with engineering design while championing FAIR data principles across cryosphere and geohazard research domains. Current projects focus on model coupling techniques for environmental flows and space exploration technologies. Analysis of her 15 most recent publications reveals dominant trends in surrogate modeling for geotechnical stability, cryorobotic exploration systems, and FAIR data frameworks for environmental science. Her work consistently bridges machine learning with physical modeling across renewable energy, planetary science, and natural hazard mitigation through international collaborations like the TRIPLE project. Scientific awards are not documented in provided materials, though her leadership in DLR-funded space exploration initiatives and editorial roles in topical collections indicates significant recognition. As department chair, she oversees graduate advising and research direction within her computational engineering group, with active grant funding evidenced by German Space Agency collaborations and multi-institutional projects targeting geohazard prediction and cryosphere exploration. Her work demonstrates strong industry-academia-government partnerships. Kowalski leads the Methods of Model-Based Development research group, which operates as an integrated lab for numerical simulation, model coupling, and data-driven engineering solutions. Future work focuses on enhancing uncertainty quantification in geohazard models, advancing cryorobotic technologies for extraterrestrial environments, and developing robust frameworks for FAIR geoscientific data.

Olaf Hellwichمشاهده پروفایل

استاد

• Computer Vision
• Remote Sensing
• Photogrammetry
• +۲ مورد دیگر

Olaf Hellwich is a Professor for Computer Vision and Remote Sensing at the Technical University of Berlin, leading research in visual perception systems and remote sensing technologies. His office is located in MAR 6.047 with secretariat support in MAR 6-5, and he can be contacted via olaf.hellwich@tu-berlin.de or +49 30 314-22796. His academic background includes: Dipl.-Ing. in Surveying from Hamburg University of Applied Sciences (1986) M.Sc.E. in Surveying Engineering from the University of New Brunswick, Canada (1992) Dr.-Ing. in Engineering from the Technical University of Munich (1997) with dissertation "Line extraction from SAR data using a Markoff random field model" Prof. Hellwich's research spans computer vision fundamentals, remote sensing applications, and AI-integrated perception systems, with emphasis on object recognition, scene description, and human-robot interaction. His work bridges theoretical photogrammetry with modern machine learning approaches, particularly in SAR data analysis and visual search optimization. He currently leads multiple projects under the Science of Intelligence cluster of excellence: TP 01: Object-level scene descriptions and attention in visual search (since 09/2019) TP 03: Mouse Lock Box (since 08/2019) TP 08: Knowledge-augmented face perception (since 03/2020) TP 29: Hierarchical modularized vision system for perception-action loops (since 08/2020) TP 31b: Social responsiveness in human-robot interaction (since 09/2021) While specific student supervision details aren't provided, his active research leadership indicates ongoing mentorship of doctoral candidates. His projects demonstrate sustained funding through Berlin's Excellence Strategy initiatives, focusing on interdisciplinary AI research with practical applications in robotics and perception systems.

• Probability Theory
• Random Walks
• Random Algorithms
• +۵ مورد دیگر

Quirin Thomas Simon Vogel is a Senior Lecturer at the University of Klagenfurt , located within the Department of Statistics . Before joining Klagenfurt, he held post-doctoral positions at the Technical University of Munich and New York University Shanghai , and served as Interim Professor at Ludwig-Maximilians University of Munich . His research lies at the intersection of probability theory and statistical mechanics . Specifically, he investigates random walks , random algorithms , and loop-based models arising from physical systems. Key themes include: Loop percolation and interacting Bose gases Large deviations and critical phenomena Randomised algorithms for communication networks Mathematical models of cancer dynamics and immune response Across his 2020-2025 publications, Vogel consistently applies probabilistic techniques to high-dimensional statistical-physics models, neural-network theory, and wireless-protocol design, evidencing a broad yet cohesive research portfolio. Contact details: Email: quirin.vogel@aau.at Office: N.0.01, Main Building, North Wing West, Level 0 Phone: +43 463 2700 3156

Clélia de Mulatierمشاهده پروفایل

استادیار

• Statistical Physics
• Information Theory
• Computer Science
• +۵ مورد دیگر

Clélia de Mulatier is an Assistant Professor at the University of Amsterdam , affiliated with both the Institute for Theoretical Physics and the Informatics Institute . She leads research at the intersection of statistical physics, information theory, and computer science , focusing on theoretical and numerical methods for complex systems . Her work spans collaborations with experimentalists in neuroscience and biology , and she actively participates in educational programs across multiple Dutch universities. Research Labs : Computational Soft Matter Lab, Computational Science Lab Affiliations : Dutch Institute for Emergent Phenomena (DIEP), Netherlands Platform Complex Systems (NPCS) Her research develops minimally complex spin models for high-order data analysis , applying exact Bayesian model selection to uncover hidden variable communities in binary datasets. This work has produced open-source tools like MinCompSpin and MinCompSpin_Greedy for different system sizes. Publications demonstrate expertise in tensor networks for dimensional reduction , epidemic modeling , and branching random walks in confined environments . Teaching includes Python programming , complex systems theory , and statistical inference for physics students across multiple institutions. She serves as program committee member for International Conference on Computational Science and organizes academic discussions through initiatives like Behind the CV: story from a Physicist .

Emmanouil Athanasiadisمشاهده پروفایل

پژوهشگر ارشد

• Bioinformatics
• Computational Biology
• Single Cell Genomics
• +۳ مورد دیگر

Dr. Emmanouil Athanasiadis is a bioinformatician at the University of Cambridge's Department of Haematology, with dual affiliations at the Wellcome Trust Sanger Institute and Medical Research Council (MRC) Stem Cell Institute. His research integrates computational biology with medical applications, focusing on single-cell genomics, cancer biology, and cardiovascular disease mechanisms since 2016. His educational foundation includes: BSc in Biomedical Engineering from Technological Educational Institution of Athens (2004) MSc in Medical Physics from University of Patras (2006), funded by State Scholarships Foundation of Greece PhD in Medical Physics from University of Patras (2010), supported by National State Scholarship Foundation Athanasiadis specializes in developing computational frameworks for biological data interpretation. His work spans single-cell RNA sequencing analysis in haematopoiesis, medical imaging algorithms for cancer diagnostics, and drug repurposing pipelines. Key contributions include SPNsim for pulmonary nodule simulation and ChemBioServer for chemical compound analysis, demonstrating his dual expertise in algorithm development and biomedical application. Publication analysis reveals a trajectory from medical imaging (2007-2012) to genomic network analysis (2013-2016), culminating in current single-cell and spatial transcriptomics research. His work consistently bridges computational innovation with clinical questions in oncology, haematology, and cardiovascular disease, with strong emphasis on open-source tool development. His scientific recognition includes: Computational award from Greek Research and Technology Network for 'GRAND' project Multiple presentation prizes at national medical conferences Continuous academic distinctions from State Scholarships Foundation of Greece K. Karatheodoris research scholarship He has secured EU funding through FP7 projects including 'PIK3CA Oncogenic Mutations' and 'NOISEPLUS', and maintains active collaborations across Cambridge, UCL, and Greek research institutions. His teaching contributions include lecturing in biomedical engineering programs at Technological Educational Institution of Athens (2010-2016). Current work centers on single-cell RNA sequencing analysis within Cambridge's haematology research ecosystem, particularly investigating transcriptional dynamics in blood cell development and cancer evolution through collaborative projects with Sanger Institute.