جست‌وجوی استاد و پژوهشگر

• Mass Spectrometry
• Metabolomics
• Lipidomics
• +۵ مورد دیگر

Zheng-Jiang Zhu is a Professor at the Shanghai Institute of Organic Chemistry (SIOC), Chinese Academy of Sciences, within the Interdisciplinary Research Center on Biology and Chemistry (IRCBC) . Since 2013, he has led a research program focused on advanced mass-spectrometry technologies and their application to metabolomics, lipidomics, and systems biology. Education and Training PhD in Chemistry, University of Massachusetts Amherst, 2006–2011 BS in Chemistry, Nanjing University, 2002–2006 Post-doctoral Research Associate, Scripps Research Institute, 2011–2013 Research Interests Professor Zhu’s research integrates cutting-edge mass spectrometry , ion mobility spectrometry , and bioinformatics to address fundamental questions in metabolism , aging , and neurodegeneration . His group develops novel analytical workflows, software tools, and databases that enable high-throughput, high-coverage profiling of metabolites and lipids in complex biological systems. Specific areas of focus include: Stable-isotope tracing metabolomics for mapping metabolic fluxes across tissues Lipid transport and remodeling at subcellular resolution Machine-learning-assisted metabolite annotation and structural elucidation Biomarker discovery for early cancer diagnosis and aging interventions Scientific Output & Impact Over the past decade, Zhu has authored more than 78 peer-reviewed publications in leading journals such as Nature Communications , Analytical Chemistry , Science Advances , and Nature Chemistry . His 2025 papers alone address tissue-specific fatty-acid biosynthesis, AI-driven metabolite annotation, organellar lipid trafficking, and the anti-aging role of citrulline in macrophages. These works collectively advance both technological frontiers and biological understanding, positioning his laboratory at the forefront of integrated multi-omics research. Software & Databases AllCCS2 – A curated atlas of collision cross-section values for small molecules Met4DX – A unified data-processing platform for multidimensional untargeted metabolomics LipidIMMS Analyzer – Integrative tools for ion-mobility-based lipidomics MetFlow – Interactive workflow for metabolomics data cleaning and differential analysis Collaborations & Funding Zhu’s research is supported by multiple national grants and extensive collaborations with clinicians and industry partners. His group routinely engages in peer review for over 20 high-impact journals, reflecting the community’s recognition of his expertise in analytical chemistry and systems biology.

Kirsten Mangelsمشاهده پروفایل

پژوهشگر

• Regional Development
• Spatial Planning
• Cross-Border Cooperation
• +۴ مورد دیگر

Kirsten Mangels is a Researcher at the Chair of Regional Development and Spatial Planning at the Rhineland-Palatinate University of Technology Kaiserslautern-Landau. Her work focuses on regional development , spatial planning , and cross-border governance , particularly addressing challenges in rural and peri-urban areas . Her research explores territorial development in cross-border regions, healthcare accessibility for aging populations, and climate-neutral settlement structures . Key projects include the Linking Borderlands initiative (BMBF-funded) and Ageing Smart (Carl-Zeiss-Stiftung), integrating demographic trends with spatial policy . Publications highlight sustainable urban-rural integration and interdisciplinary planning , with a focus on healthcare provision , tourism economics , and compact settlement models . She has lectured internationally on European territorial cohesion and smart regional development , contributing to policy dialogues in Germany, Austria, and international forums.

Christian Barrotمشاهده پروفایل

استاد

• Innovation Management
• Marketing
• Entrepreneurship
• +۷ مورد دیگر

Prof. Dr. Christian Barrot is a Professor of Marketing and Innovation at Kühne Logistics University (KLU) in Hamburg. As Dean of Programs (2016–2024), he shaped KLU's award-winning curriculum. His academic journey began at Christian-Albrechts-University of Kiel and BI Norwegian School of Management, followed by research at Penn State and Columbia Business School. He was promoted from Assistant to Professor at KLU (2011–2017) and served as Acting President (2022–2023). Diplom-Kaufmann (MSc. Business Administration), Christian-Albrechts-University of Kiel (2001) Dr. sc. pol., Christian-Albrechts-University of Kiel (2008) Dr. habil., Christian-Albrechts-University of Kiel (2014) His research focuses on innovation management, digital transformation, and customer relationship strategies , emphasizing social networks, referral programs, and quantitative analysis. Recent studies explore Needmining for customer needs extraction , D2C vs multi-brand distribution dynamics, and ethical leadership impacts on purchasing. His work bridges theoretical models (e.g., Bass diffusion extensions) with industry applications (telecom, medical devices). Prof. Barrot's accolades include the 2018 Sheth/Journal of Marketing Award (long-term contribution) and AMA-Sheth Fellowship (2005). He led the DFG-FOR 1452 research group on digital social media marketing, securing €4.0M in funding. His methodological expertise spans agent-based modeling and social network analysis, applied in viral marketing campaigns and product-sampling strategies.

Bin Dongمشاهده پروفایل

استاد

• Biomedical Imaging
• Machine Learning
• Artificial Intelligence
• +۹ مورد دیگر

Bin Dong is a Professor at the Beijing International Center for Mathematical Research (BICMR) and Deputy Director of the Center for Machine Learning Research (CMLR) at Peking University. He holds a Ph.D. in Mathematics from UCLA (2009), M.Sc. from National University of Singapore (2005), and B.S. from Peking University (2003). Current affiliations: BICMR (2023–present), CMLR (2022–present) Prior: Associate Professor at Peking University (2014–2022), Assistant Professor at University of Arizona (2011–2014), SEW Assistant Professor at UCSD (2009–2011) Research focuses on biomedical imaging (reconstruction/analysis, clinical decision-making), machine learning (PDE-Net, ODE-Net architectures), and AI for Mathematics (AI4M) (formal mathematics digitalization via Lean, AI-assisted theorem proving). Teaching includes Mathematical Image Processing and Learning by Research at Peking University. Key scientific awards: Wang Xuan Outstanding Young Scholar Award (2023) New Cornerstone Investigator (2023) Qiu Shi Outstanding Young Scholar Award (2014) Silver Medal, New World Mathematics Award (2007) Organized multiple workshops including the One World Seminar Series on Mathematics of Machine Learning and co-developed AI tools like Brainiac Buddy for education.

Mario Günzelمشاهده پروفایل

پژوهشگر

• Real-Time Systems
• Embedded Systems
• Self-Suspension
• +۴ مورد دیگر

Mario Günzel is a Researcher at the Department of Computer Science, Faculty of Computer Science at Technical University of Dortmund, where he works in the Design Automation for Embedded Systems research group under Prof. Dr. Jian-Jia Chen. Having completed his PhD in 2024 with a dissertation on property-based timing analysis of distributed real-time systems, he has established himself as a leading researcher in real-time systems with over 30 publications and multiple prestigious awards including Best Paper Awards at ECRTS 2023 and EMSOFT 2024, as well as an Outstanding Paper Award at RTSS 2024. PhD in Computer Science, Technical University of Dortmund (2024) M.Sc. in Mathematics, University of Duisburg-Essen (2019) B.Sc. in Mathematics, University of Duisburg-Essen (2017) Günzel's research focuses on the theoretical and practical aspects of real-time systems, particularly in self-suspending tasks and end-to-end latency analysis of cause-effect chains. His work bridges formal methods with practical applications in embedded systems, automotive systems, and robotics. He has developed evaluation frameworks like SSSEvaluation and E2EEvaluation that have become important tools in the real-time systems community. His research demonstrates exceptional depth in both theoretical foundations and practical implementations, with significant contributions to scheduling algorithms, timing analysis, and real-time operating systems. The recent publication trend shows Günzel's expanding research scope from core real-time scheduling problems to applications in automotive systems, electric vehicle scheduling, and ROS 2 integration. His work consistently addresses fundamental challenges in real-time systems while developing practical solutions with real-world applicability. The publications reveal a strong focus on eliminating timing anomalies, optimizing priority assignments, and developing distribution-agnostic analysis methods that advance the theoretical foundations of real-time systems. Outstanding Paper Award at IEEE RTSS (2024) Best Paper Award at ACM EMSOFT (2024) Best Paper Award at ECRTS (2023) Outstanding Bachelor Thesis Award (2017) UDE Scholarship (2014-2019) Günzel actively supervises bachelor's and master's theses, with recent completed works including 'Odometry and IMU Fusion for Pose Estimation' and 'Evaluation Framework for End-to-End Analysis'. He has served in various organizational roles for major conferences including Publicity Co-Chair for RTSS 2025 and Publicity Chair for ECRTS 2025. His service to the community extends to editorial roles for journals including Real-Time Systems Journal and ACM Transactions on Embedded Computing Systems. Under Günzel's supervision, the research group maintains important open-source tools including SSSEvaluation (Evaluation Framework for Schedulability of Self-Suspending Tasks) and E2EEvaluation (Evaluation Framework for End-to-End Latency of Cause-Effect Chains), which have been adopted by researchers worldwide. He is also involved in collaborative projects with institutions including Scuola Superiore Sant'Anna in Pisa (planned research stay Feb-Apr 2025) and Eindhoven University of Technology.

Fabian Fassnachtمشاهده پروفایل

استاد

• Remote Sensing in Ecology
• Forest Ecosystems
• Urban Vegetation Monitoring
• +۷ مورد دیگر

Prof. Dr. Fabian Fassnacht holds the Professorship for Remote Sensing and Geoinformatics at the Institute of Geographical Sciences, Freie Universität Berlin. His research focuses on applying remote sensing technologies to understand ecological patterns and processes in vegetation ecosystems, particularly forest systems and urban trees. He specializes in developing workflows for quantifying forest attributes and creating synthetic remote sensing data to improve ecological understanding and monitoring. Education: PhD in Forestry Sciences (University of Freiburg, 2010-2014) Key Projects: FORZA (forest decline analysis), INSANE (spatial forest products), ErWiN (wildfire dynamics), SYSSIFOSS (synthetic forest data), SaMovar (invasive species monitoring) Research Focus: Multi-scale vegetation monitoring, 3D forest modeling, upscaling ecological processes, and wildfire risk assessment using LiDAR and UAV technologies His work addresses critical challenges in remote sensing applications across diverse ecosystems, including semi-arid forests and temperate woodlands. He has coordinated numerous research initiatives funded by BMBF, DAAD, DFG, and other international agencies. Current efforts involve integrating deep learning with traditional remote sensing methods to enhance forest inventory models and ecological assessments.

Maria Piquer-Rodriguezمشاهده پروفایل

استادیار

• Socio-Ecological Land Systems
• Land Use and Deforestation
• Geopolitics of Land Systems
• +۴ مورد دیگر

Maria Piquer-Rodriguez is an Assistant Professor at the Institute of Geographical Sciences , Free University of Berlin. She leads the Modelling Human-Environmental Interactions research group and coordinates the Global Land Program's Socio-Ecological Land Systems of Latin America working group. Her research focuses on: Socio-ecological land system dynamics Transboundary environmental governance Impact of anthropogenic forces on biocultural regions Land use policy analysis Deforestation and biodiversity trade-offs Telecoupled land use systems Key publications address: Systematic mapping of South American land systems Border effects on ecological divergence Carbon stock underestimation in dry forests Agricultural expansion impacts on forest communities Conservation challenges in dry Chaco ecosystems She applies: Remote sensing and GIS analysis Socio-ecological system modeling Interdisciplinary collaborative frameworks Policy impact assessment Land use archetype analysis

• Modern History
• Contemporary History
• History of Democracy
• +۵ مورد دیگر

Prof. Dr. Paul Nolte is a distinguished academic at the Free University of Berlin , where he holds the chair in Modern European History with a focus on contemporary international entanglements at the Friedrich Meinecke Institute . From October 2024 to September 2025, he serves as the Gerda-Henkel Visiting Professor at the London School of Economics and Political Science while on leave from Freie Universität. Education : M.A. in History from Johns Hopkins University (1988); Habilitation in Modern History (University of Bielefeld, 1999) His research spans the history and theory of democracy from the 18th to 21st centuries, intellectual history of the 20th century, urban and globalization history , and transatlantic comparisons . Recent work examines coronavirus policy responses , constitutional continuity , and neoliberalism's contested manifestations . Key scientific contributions appear in Geschichte und Gesellschaft (where he co-edits), addressing topics like urbanization , emotional economies , and leadership psychology . His 2023 co-edited special issue on revisiting emotional history demonstrates cross-disciplinary synthesis. Major Awards : Richard von Weizsäcker Fellowship (Oxford), Gerda Henkel Lecturer (DHI Washington), German Kennedy Memorial Fellow (Harvard) As Academic Coordinator of the Berlin Program for Advanced German Studies and Trustee of the Konrad-Adenauer-Stiftung , he shapes scholarly networks. The 2024/25 Gerda-Henkel guest professorship reflects his transnational research agenda.

Anna-Carolina Haenschمشاهده پروفایل

استادیار

• Missing Data Analysis
• Synthetic Data Generation
• Big Data in Social Sciences
• +۶ مورد دیگر

Anna-Carolina Haensch is a Lecturer at the University of Munich in the Chair of Statistics and Data Science in Social Sciences and the Humanities and an Assistant Professor at the University of Maryland in the International Program in Survey and Data Science. Her interdisciplinary work bridges statistics, computational social science, and natural language processing, with a focus on methodological innovation in social research. Education: PhD in Sociology, University of Mannheim (2017-2021) M.Sc. in Survey Statistics, University of Bamberg (2014-2017) B.A. in Political Science/Sociology, Ludwig-Maximilians-Universität München (2011-2014) Dr. Haensch's research centers on missing data, synthetic data, and big data applications in social sciences. She develops advanced statistical methods for survey data harmonization, multiple imputation techniques, and leverages natural language processing to analyze complex social phenomena. Her work consistently addresses methodological challenges in social research with practical applications for data collection and analysis. Her recent publications reveal a significant trend toward integrating large language models with traditional survey methodology, exploring how AI can enhance data collection, analysis, and interpretation in social science research. She has made substantial contributions to understanding missing data patterns, developing synthetic data approaches, and examining the societal implications of AI tools across multiple domains including mental health, political science, and housing policy. Scientific Awards: 2022 AAPOR Burns "Bud" Roper Fellow Award 2022 AAPOR Warren J. Mitofsky Innovators Award (as part of CTIS team) 2022 AAPOR Policy Impact Award (as part of CTIS team) 2011-2017 Max-Weber-Programm (undergraduate and graduate stipend) Dr. Haensch actively mentors the next generation of researchers, currently supervising 3 PhD theses on statistical education, machine learning applications in social sciences, and synthetic data generation with LLMs. She has guided approximately 6 master's theses and 15 bachelor's theses at the University of Munich since 2022, with topics primarily related to synthetic data, multiple imputation, and LLM applications. Her teaching spans statistical methods, data science techniques for survey researchers, and specialized topics in big data analysis. She has secured teaching grants including a €20,000 promotion for the RAINER project (R Assistant IN Error Resolution) for 2024-2025 and a €10,000 LMU-NYU Scholarship in 2023. She serves on several important boards including the Eurostat EMOS Board (2024-2026), the Ethics Commission of Faculty 16 at LMU (2023-2025), and as Women's Representative at the Institute for Statistics, LMU (2024-2026). Her collaborative work with the University of Maryland Social Data Science Center and involvement in the Global COVID-19 Trends and Impact Survey demonstrates her commitment to large-scale data collection initiatives and real-time social research.

Mark Müller-Linowمشاهده پروفایل

پژوهشگر

• Plant Phenotyping
• Plant Sciences
• Bioeconomy
• +۴ مورد دیگر

Mark Müller-Linow is the Head of the Jülich Plant Phenotyping Center at Forschungszentrum Jülich's Institute of Bio- and Geosciences (IBG), Plant Sciences (IBG-2). His work focuses on sustainable agriculture and bioeconomy through plant phenotyping, integrating 2D/3D sensor platforms and machine learning for growth dynamics and stress response analysis. His research interests include quantitative plant phenotyping, sensor development, and image processing. Recent publications emphasize non-invasive imaging techniques, computational modeling, and cost-efficient phenotyping strategies across crops like cassava, wheat, and arnica. Scientific contributions highlight interdisciplinary approaches combining plant biology, engineering, and data science to address climate adaptation and resource efficiency. He leads projects on root architecture, leaf surface modeling, and microbial interactions in cereal crops.

Marieke Schölvinckمشاهده پروفایل

پژوهشگر

• Neuroscience
• Neural Activity
• Functional Connectivity
• +۳ مورد دیگر

Dr. Marieke Schölvinck is a Group Leader at the Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society in Frankfurt am Main, Germany. Her research focuses on understanding the interplay between spontaneous and stimulus-driven neural activity, particularly in the visual cortex. Research Interests Spontaneous brain activity and its spatiotemporal structure Interaction between resting-state and sensory-evoked neural responses Functional connectivity mapping via multimodal neuroimaging Neurophysiological mechanisms underlying fMRI signals Methodologies fMRI (functional Magnetic Resonance Imaging) In vivo electrophysiology Neuroimaging data analysis Animal models of visual processing Key Trends in Articles Her publications highlight the coherence of spontaneous neural activity, its role in shaping stimulus-evoked responses, and the integration of electrophysiological and hemodynamic imaging techniques to decode brain function. Topics span cortical dynamics, functional connectivity, and the neural basis of resting-state networks.

Jörg Schlüchtermannمشاهده پروفایل

استاد

• Healthcare Management
• Operations Management
• Procurement Strategies
• +۳ مورد دیگر

Jörg Schlüchtermann is a Full Professor for Business Administration (Operations Management) at the University of Bayreuth since 1996. He serves as Co-Director of the Institute for Medical Care Management and Health Care Sciences and holds a permanent Visiting Professor position at Frankfurt School. Diploma (1986) and Doctorate (1990) from the University of Münster Research Assistant at Münster (1986-1995), Habilitation in 1995 Professor for Industrial Management at the University of Frankfurt (pre-1996) His research focuses on Healthcare Management and Operations Strategy , particularly in hospital procurement, clinical pathways, and strategic cost management. He has pioneered methodologies for optimizing healthcare supply chains and resource allocation. Recent publications emphasize procurement innovation , strategic hospital financing , and process optimization in clinical settings. His work integrates traditional operations management with healthcare-specific challenges like privatization impacts and digital transformation. As Co-Director of the Institute for Medical Care Management and Health Care Sciences, Schlüchtermann leads interdisciplinary research teams exploring the intersection of healthcare delivery systems and business economics. His current projects focus on post-LIBOR financial instruments and adaptive procurement frameworks.

Joachim Rathmannمشاهده پروفایل

استاد مدعو

• Cultural Ecosystem Services
• Human-Environment Relationships
• Philosophy of Nature
• +۶ مورد دیگر

Joachim Rathmann is Adjunct Professor at Memorial University (Newfoundland, Canada) and Privatdozent at the University of Augsburg. He works at the Institute of Geography and Geology , Julius-Maximilians-Universität Würzburg, focusing on therapeutic landscapes , cultural ecosystem services , and environmental ethics . Current Projects : Leading DFG-funded research on urban forest health impacts (2022-2025), contributing to Environmental-Economic Landscape Assessment and Co-Environmental Virtue Ethics . Research Strengths : Integrates philosophy of nature with environmental psychology , exploring how deadwood perception and forest structures affect human well-being. Recent publications analyze 15 articles (2017-2024) covering climate change mitigation , AI in environmental protection , and therapeutic landscapes . The work combines empirical methods (GIS, physiological sensing) with theoretical frameworks (Heideggerian ethics, affordance theory). Key Collaborations : With Prof. Uwe Voigt (Philosophy), Prof. Elisabeth André (Human-Centered AI), and Dr. Christoph Beck (Climate Research). International Engagement : Participates in conferences across Canada , USA , France , and Belgium , fostering cross-disciplinary dialogue on anthropocene ethics .

Tim Bréeمشاهده پروفایل

پژوهشگر

• Information Systems
• Blockchain Technology
• Smart Cities
• +۴ مورد دیگر

Tim Brée is a current research assistant at the Chair of Information Systems and Strategic IT Management at the University of Duisburg-Essen , Germany. He completed his Master of Science in Information Systems at the same university in 2019 and previously earned his Bachelor of Science there from 2013 to 2019. His academic career includes roles as a student assistant and tutor at the university’s faculty and dean’s office. Education: Master of Science in Information Systems, University of Duisburg-Essen (2019–present) Bachelor of Science in Information Systems, University of Duisburg-Essen (2013–2019) Brée’s research focuses on blockchain technology , data ecosystems , smart cities , and enterprise architecture management . He explores innovative applications of blockchain for inter-organizational data governance, urban data management, and collaborative frameworks in digital ecosystems. His recent publications emphasize bibliometric analyses of artificial intelligence in urbanization, blockchain integration in smart cities, and stakeholder collaboration in ports. These works bridge theoretical advancements with practical implementations, such as 3D prototypes for enterprise architecture visualization. Scientific Recognition: Nominated for the Best Theory Paper Award at the 42nd International Conference on Information Systems (ICIS) in 2021 Brée collaborates extensively within the Faculty of Computer Science , contributing to teams focused on strategic IT management and digital transformation. His work addresses both technical challenges and organizational readiness in adopting emerging technologies.

• Highway Engineering
• Asphalt Materials
• Pavement Design
• +۵ مورد دیگر

Markus Oeser is a full professor at the Chair and Institute of Highway Engineering, affiliated with the Federal Highway Research Institute (BASt). His research advances pavement technology, smart infrastructure, and sustainable materials through computational modeling and experimental characterization. Research Focus His work spans: Advanced asphalt materials (self-healing, inductive, nano-enhanced) Digital twins for real-time pavement monitoring Traffic flow modeling and AI-driven infrastructure management Sustainable recycling of construction waste Piezoresistive sensors for smart roads Publication Trends (2024-2025) Recent articles emphasize multi-scale modeling (atomic to structural levels), integration of AI/ML in pavement systems, and sustainability-driven material innovations. Dominant themes include nanomaterial-enhanced composites, digital twins for infrastructure, and traffic microsimulation. Affiliations & Infrastructure Leads research at BASt's highway engineering facilities, leveraging laboratories for materials testing, computational modeling, and full-scale pavement validation.