جست‌وجوی استاد و پژوهشگر

Jeong-Ryeol Kurz-Kimمشاهده پروفایل

استاد پژوهشی

• Applied Econometrics
• Financial Market Analysis
• Extreme Value Theory
• +۳ مورد دیگر

Jeong-Ryeol Kurz-Kim is a Research Professor at the Research Centre of the Deutsche Bundesbank, Germany. His role involves conducting advanced research in applied econometrics and financial market analysis. He has been affiliated with the Bundesbank since 2001. His academic background includes a Ph.D. in economics from Christian-Albrechts-Universität zu Kiel (1994), focusing on cointegrated models. His research interests span Applied Econometrics , Financial Market Analysis , Extreme Value Theory , and Early Warning Systems . He has extensively studied topics such as survey-based nowcasting, stock market dynamics during crises, and the properties of heavy-tailed distributions in econometric models. Recent work includes analyzing the predictive power of survey data for GDP nowcasting, re-examining trading behaviors around Black Monday (1987), and exploring coefficient determination in regression models with infinite-variance variables. His contributions bridge theoretical econometrics and practical applications in financial stability and policy analysis. Kurz-Kim’s work has been published in journals like Journal of Forecasting , Journal of Asset Management , and Journal of Econometrics . His research often emphasizes the interplay between statistical theory and real-world financial systems, with a focus on risk measurement and macroeconomic forecasting.

Julia Schneiderمشاهده پروفایل

پژوهشگر

• Organic Farming
• Soil Science
• Climate Change
• +۳ مورد دیگر

Dr. Julia Schneider is a Research Associate at the University of Hohenheim’s Center for Organic Farming (ZÖLUH), serving as Project Coordinator for the Baden-Württemberg-funded research program on Organic Farming since 2019. Previously, she led a DFG-funded international project on boreal forest ecosystems’ methane budgets at the University of Koblenz-Landau (2012–2019). She holds a PhD in Landscape Ecology from the Ernst-Moritz-Arndt University of Greifswald (2011), focusing on CO2 flux dynamics in boreal peatlands. Her expertise spans ecosystem research, greenhouse gas dynamics, and organic farming’s impact on soil properties. She teaches courses like Agroforestry Systems in Central Europe and Organic Crop Production . Key projects include the SENSE initiative (2022–present) on resource efficiency and GHG mitigation through circularity. She applies remote sensing and field data to study agroecological systems, emphasizing climate adaptation and sustainability. Education: PhD in Landscape Ecology (2011), Diploma in Geography (2005) from TU Dresden. Research Interests: Agroforestry, organic farming practices, soil health, and climate change mitigation. Her work bridges ecosystem science and agricultural innovation, with recent publications on agroforestry systems’ resilience to water variability and climate adaptation strategies.

Ernst van der Maatenمشاهده پروفایل

پژوهشگر

• Dendrochronology
• Forest Ecology
• Climate Change Impacts
• +۳ مورد دیگر

Dr. Ernst van der Maaten is a Senior Scientist and Head of the DendroLab at the Chair of Forest Growth and Woody Biomass Production, Technische Universität Dresden. His work focuses on dendrochronology, forest ecology, and climate change impacts. He leads research on tree resilience, climate-growth relationships, and environmental stressors affecting forest ecosystems. PhD in Forest Ecology from the University of Freiburg (2013) MSc and BSc in Forestry from Wageningen University (Netherlands) Research Interests Dr. van der Maaten investigates tree physiological responses to climate variability, including drought tolerance, extreme weather impacts, and long-term growth trends. His methods combine tree-ring analysis with remote sensing and environmental data, emphasizing non-stationarity in climate-forest interactions. Key areas include: Quantifying tree resilience through pointer-year detection Assessing species distribution limits under climate change Analyzing historical forest dynamics via geoarchives Publications & Projects Recent work addresses global tree mortality patterns, European beech vulnerability, and impacts of extreme droughts. Collaborations span international networks like the International Tree Mortality Network. Methodological contributions include the pointRes R package for resilience analysis. Labs & Teams He directs the DendroLab, which integrates dendrochronological, ecological, and climatic research. Projects involve satellite data fusion with tree-ring records for improved forest monitoring.

Kai Bormannمشاهده پروفایل

استاد

• Human Resource Management
• Family Business Management
• Corporate Sustainability
• +۳ مورد دیگر

Prof. Dr. Kai Bormann is a Professor at Bielefeld University's Faculty of Business Administration and Economics, affiliated with the Department of Human Resource and Family Business Management. He is also a member of the Bielefeld Graduate School in Theoretical Sciences and BIGSEM - Bielefeld Graduate School of Economics and Management. His research focuses on human resource management, family business dynamics, corporate sustainability, and leadership behaviors in uncertain environments. With expertise in organizational behavior, he explores topics like illegitimate tasks, meaningful work, and entrepreneurial decision-making variability. Bormann is actively involved in teaching modules such as Corporate Sustainability and Profile Module Human Resources (HR), contributing to both academic discourse and practical management strategies. His work bridges theoretical insights with real-world applications, emphasizing leadership effectiveness and employee well-being in diverse organizational contexts. Research Interests: His research portfolio includes studies on leadership styles (transformational, ethical, abusive), employee engagement, family business stewardship, and the impact of workplace dynamics on organizational outcomes. He has investigated how leadership behaviors influence stress, creativity, and proactivity, particularly in uncertain or crisis situations like the pandemic. Methodologically, his work combines diary studies, experimental designs, and multi-source data to explore leadership's role in fostering innovation and mitigating destructive practices. Teaching and Academic Leadership: As a module designee, Bormann oversees courses in human resources, management innovation, and international business strategies. He integrates interdisciplinary approaches into teaching, emphasizing sustainability and ethical leadership. His academic roles include participation in faculty governance and graduate school oversight, reflecting his commitment to advancing business education and research excellence.

Daniel Hoffmannمشاهده پروفایل

استاد

• Quantitative Biology
• Computational Biophysics
• Bioinformatics
• +۴ مورد دیگر

Prof. Dr. Daniel Hoffmann is a Professor in the Group Bioinformatics and Computational Biophysics within the Faculty of Biology at the University of Duisburg-Essen. His research focuses on quantitative biology, developing mathematical and computational models to analyze biological systems and data, particularly addressing variability through probabilistic methods like Bayesian analyses. Collaborations span diverse fields including virology, immunology, cancer research, and ecology. Research interests emphasize computational tools for viral evolution studies (e.g., HAMdetector, IgGeneUsage), immune repertoire analysis, and drug delivery mechanisms. Recent work explores hepatitis virus adaptation to host immune responses and bone vascular networks. His publications reflect expertise in bioinformatics, virology, and biophysical systems. Notable contributions include modeling T-cell evasion in hepatitis viruses and developing computational frameworks for optimizing antiviral therapies. His interdisciplinary approach bridges biology with quantitative methodologies, fostering advancements in both basic science and translational medicine.

• Process Mining
• Blockchain Technology
• Declarative Process Models
• +۳ مورد دیگر

Tijs Slaats is an academic affiliated with the University of Copenhagen, Denmark. His work focuses on process mining, blockchain technology, and declarative process modeling. He has contributed to advancements in declarative frameworks like Dynamic Condition Response Graphs (DCRGs) and their applications in adaptive case management, smart contracts, and legal adjudication systems. His research bridges computer science, distributed systems, and business process management. Research interests include declarative process models, blockchain sharding protocols, formal verification of event-driven systems, and the integration of machine learning with legal processes. His work emphasizes practical applications in finance, healthcare, and public administration through collaborative projects like BRFkredit and the EcoKnow initiative. Recent articles highlight innovations in process discovery algorithms, smart contract security, and scalable blockchain solutions. His contributions span theoretical frameworks and real-world implementations, often involving interdisciplinary collaborations with institutions like Algorand and the Danish Refugee Council.

• Business Process Management
• Process Mining
• Blockchain Technology
• +۴ مورد دیگر

Mathias Weske is a Professor at the Hasso Plattner Institute in Potsdam, Germany. His research focuses on Business Process Management (BPM), Process Mining, Blockchain-based process execution, and Robotic Process Automation (RPA). He has contributed extensively to advancing methodologies for resource allocation in processes, decision support systems, and integrating blockchain technology into collaborative processes. Key research areas include business process analysis, data-driven case management, and healthcare process optimization. His work spans theoretical frameworks (e.g., BPMN extensions, choreography models) and practical tools (e.g., OpenBPT platform). Recent efforts emphasize RPA complexity metrics, accessibility in process modeling for visually impaired users, and democratizing RPA mining techniques. Publications frequently explore interdisciplinary applications like healthcare process mining and blockchain transaction ordering. His contributions bridge theory and practice, addressing challenges in automation, collaboration, and process intelligence across industries.

• Coastal Engineering
• Climate Change Impacts
• Wave Climate Modeling
• +۳ مورد دیگر

Piyali Chowdhury is a Research Fellow at the School of Environmental Sciences, University of East Anglia (UEA). She focuses on coastal processes, climate change impacts, and wave climate modeling. Her work addresses longshore sediment transport dynamics, regional sea-level variations, and the application of advanced shoreline models. She collaborates with institutions to assess climate change effects on coastlines, particularly in the Indian Ocean region. Chowdhury accepts PhD students and has published extensively on topics such as wave climate projections and nearshore sediment transport mechanisms. Her research integrates climate models (e.g., CMIP5, CORDEX) to evaluate coastal vulnerability, emphasizing both theoretical and applied aspects of coastal engineering. She has contributed to peer-reviewed journals and conference papers, showcasing her expertise in environmental modeling and coastal system assessment.

Christian Wirthمشاهده پروفایل

استاد

• Biodiversity
• Plant Functional Diversity
• Biogeochemical Cycles
• +۵ مورد دیگر

Christian Wirth is Professor of Special Botany and Functional Biodiversity at the University of Leipzig, where he heads the Department of Systematic Botany and Functional Biodiversity and the Leipzig Botanical Garden. As founding director and spokesperson of the German Center for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, he plays a pivotal role in biodiversity research across Germany. He also serves as an External Scientific Member of the Max Planck Institute for Biogeochemistry in Jena, continuing a long-standing relationship that began with his leadership of the Independent Junior Research Group 'Organismic Biogeochemistry' (2005-2009). Wirth's research focuses on plant biodiversity and its role in biogeochemical cycles, examining how plant functional diversity is affected by climate variability and environmental change, and how it influences vegetation responses. He has been instrumental in developing the TRY Plant Trait Database, now the world's largest collection of plant traits data, which is accessed by scientists worldwide approximately every two hours. His work bridges biodiversity science with biogeochemistry, addressing the critical relationship between species extinction and climate change as interconnected phenomena. His research outputs demonstrate strong emphasis on forest ecosystems, plant trait functionality, and the impacts of environmental changes on biodiversity. The recent work on canopy gaps in floodplain forests exemplifies his approach of connecting structural forest elements with ecosystem processes, showing direct influences on soil temperature and moisture while revealing more complex relationships with soil biological activity. Leipzig Science Prize 2022 External Scientific Member of Max Planck Society (2024) Appointment to Forum Zukunftsstrategie by Federal Education Minister Leadership of national biodiversity assessment 'Fact Check for the Conservation of Biodiversity' Wirth actively communicates biodiversity science to the public through his directorship of the botanical garden, the forest crane in the Auwald, and the research arboretum in Leipzig. His research program receives significant funding supporting biodiversity assessments and ecosystem studies, with notable projects including the nationwide citizen science project GartenDiv that researches plant diversity in German gardens. His work with iDiv, which employs over 400 researchers from more than 35 nations, establishes scientific foundations for sustainable management of planetary biodiversity. As director of multiple research facilities and leader of major national biodiversity initiatives, Wirth oversees significant research teams focused on understanding biodiversity patterns, ecosystem functioning, and responses to global change. His leadership of the German Center for Integrative Biodiversity Research has created a major hub for biodiversity science that attracts international researchers to Leipzig.

Ulrike Niemeierمشاهده پروفایل

پژوهشگر

• Climate Dynamics
• Stratospheric Aerosols
• Geoengineering
• +۳ مورد دیگر

Ulrike Niemeier is a Researcher at the Max Planck Institute for Meteorology, specializing in the Department of Climate Dynamics. She holds a PhD in Meteorology from the University of Hamburg (1997) and has held postdoctoral positions at institutions including the University of Science and Technology in Hong Kong and the Laboratoire de Météorologie Dynamique in Paris. Her research focuses on stratospheric aerosol processes, volcanic impacts, and geoengineering strategies, particularly through the GeoMIP project. Niemeier has contributed to model intercomparisons like GeoMIP and IMPLICC, analyzing sulfur injection effects on climate dynamics. She has advised on public science projects, including collaborations with KURZGESAGT and Max-Wissen, and developed educational initiatives such as the 'Cloudburst and Lightning' program for primary students. Education: PhD in Meteorology, University of Hamburg (1997) Key Projects: GeoMIP steering committee member, DFG VolImpact group, IMPLICC project Research Themes: Stratospheric aerosol microphysics, volcanic eruption modeling, solar radiation management Her work bridges numerical modeling (e.g., ECHAM5-HAM, ICON) with observational data from platforms like the Barbados Cloud Observatory. Recent studies include analyzing the Hunga Tonga eruption's stratospheric impacts and assessing climate engineering risks via sulfur injection scenarios.

• Business Process Management
• Process Mining
• Data Science
• +۳ مورد دیگر

Pnina Soffer is a Professor at the University of Haifa. She specializes in Business Process Management (BPM), Process Mining, and Information Systems. Her research focuses on process-aware systems, data impact analysis, and decision support mechanisms. She has contributed to advancing techniques for analyzing business processes, including workarounds detection, data inaccuracy mitigation, and process model quality improvement. Her work integrates interdisciplinary approaches, combining computer science with organizational behavior and healthcare informatics. She frequently collaborates with leading researchers in BPM and process mining, contributing to conferences like CAiSE and BPMDS. Her recent efforts emphasize the intersection of process mining with cybersecurity and human factors, exploring how cyber risks propagate through business processes and how facial expressions can predict task performance in process mining tasks. Key research areas include conceptual modeling, event log analysis, and the application of database principles to normalize process logs. Her work aims to bridge theoretical frameworks with practical applications, such as improving clinical decision support systems through layered guideline models and enhancing process robustness against data inaccuracies.

Christian Schifferمشاهده پروفایل

پژوهشگر ارشد

• Deep Learning
• Medical Imaging
• Artificial Intelligence
• +۷ مورد دیگر

Dr. Christian Schiffer is a Research Fellow at the Research Centre Jülich, leading the 'Large-scale AI for Brain Mapping' team within the Institute of Neuroscience and Medicine (INM-1). His work focuses on developing deep learning algorithms for automated analysis of cytoarchitectonic brain structures using high-resolution histological data. He heads the Helmholtz AI Young Investigator Group, which integrates contrastive learning, graph neural networks, and high-performance computing (HPC) workflows to advance brain mapping technologies. His research applies methods like convolutional neural networks (CNNs) and generative models to extract microstructural features from petabyte-scale microscopy datasets. Key contributions include 3D cytoarchitectonic mapping, integrating topology with histological data, and improving computational efficiency for large-scale neuroimaging analysis. Schiffer also collaborates with the 'Big Data Analytics' group, advancing tools for 3D reconstruction and interactive AI applications in neuroscience. Notably, he received the Helmholtz AI Award 2023 for his contributions to AI-driven neuroscience. His work bridges artificial intelligence, supercomputing, and neuroanatomy to create data-driven brain atlases, enabling deeper insights into brain connectivity and function. Schiffer’s group actively contributes to open-source tools like the Julich-Brain platform and participates in initiatives such as the 'BigBrain' project.

• Neuroscience
• Pain Perception
• Neuroimaging
• +۳ مورد دیگر

Dr. Falk Eippert is a Research Fellow and Group Leader of the Max Planck Research Group Pain Perception at the Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) in Leipzig, Germany. His research focuses on understanding pain mechanisms, neuroimaging techniques for spinal cord and brain function, and placebo effects. He holds a PhD in Systems Neuroscience from the University of Hamburg and completed postdoctoral training at the University of Oxford's FMRIB Centre. Key research interests include the neural basis of pain perception, non-invasive electrophysiological methods for spinal cord activity recording, and high-field MRI applications in CNS studies. His work bridges clinical pain management and fundamental neuroscience, addressing topics like thermosensation modulation, neuroimaging reliability, and therapeutic neuromodulation effects. He has pioneered spinal cord fMRI protocols and developed automated segmentation tools for neuroimaging data. His lab actively contributes to open science initiatives through multi-center collaborations and shared datasets, advancing spinal cord and brain imaging standards.

Fanny Langerwischمشاهده پروفایل

پژوهشگر ارشد

• Global Change Ecology
• Ecosystem Services
• Climate Modeling
• +۳ مورد دیگر

Dr. Fanny Langerwisch is a Senior Research Fellow at the Institute of Biology, Freie Universität Berlin, specializing in theoretical ecology. She focuses on global change impacts on vegetation, ecosystem service provision, and model integration for understanding environmental patterns. Her work bridges ecological research with societal relevance, emphasizing science communication and policy application. Her career includes senior scientist roles at institutions like Palacký University Olomouc and the Potsdam Institute for Climate Impact Research (PIK). She holds a PhD from PIK (2012) and a Biology degree from University Potsdam (2006). Her research integrates climate modeling, land-use analysis, and biodiversity conservation across scales from local to global. Key projects include ValuGaps (natural capital valuation), BESTMAP (agricultural policy modeling), and LEGATO (rice ecosystem services in SE Asia). She develops and applies dynamic global vegetation models (e.g., LPJmL) to assess climate impacts on ecosystems, riverine carbon fluxes, and biodiversity tipping points. Her interdisciplinary approach addresses socio-ecological challenges, with outputs informing policy through frameworks like Farming System Archetypes. Active in peer review and open-source model development, she contributes to advancing computational tools for environmental science.

Martin Härterمشاهده پروفایل

استاد

• Mental Health Epidemiology
• Integrated Care Models
• Shared Decision Making
• +۲ مورد دیگر

Martin Härter is Director of the Institute and Polyclinic for Medical Psychology at the University Medical Center Hamburg-Eppendorf (UKE). His research focuses on epidemiology of mental disorders in physical illnesses, integrated care models, and patient-centered communication. Härter's research addresses: Comorbidity of mental and physical disorders Development of collaborative care models for depression Implementation of shared decision-making in clinical practice Quality improvement in psychosocial care Patient-centered care measurement He leads major research initiatives including the COMET trial on stepped care for mental disorders and development of assessment tools for organizational health literacy. His work informs national clinical guidelines for depression treatment in Germany. Härter coordinates international collaborations on patient-centered care and leads the Center for Psychosocial Medicine at UKE, integrating research, teaching, and clinical services in medical psychology.